Department of Information Technology, Analytics, and Operations

Department Chair and Jack and Joan McGraw Family Professor of ITAO:
Corey Angst

James H. Sweeny III and Alicia Sweeny Professor of ITAO:
Nicholas Berente

Edward Frederick Sorin Society Professor of ITAO:
Ken Kelley

Joe & Jane Giovanini Professor of ITAO, and Academic Director of the Ph.D. Program in Analytics:
Ahmed Abbasi

Fred V. Duda Professor of Business:
Sarv Devaraj

Greg and Patty Fox Collegiate Professor of ITAO:
Alfonso Pedraza-Martinez

Professors:
Daewon Sun; Katie Wowak; Heng Xu; Nan Zhang

Associate Professors:
Long He, Ignacio Rios, Yoonseock Son; Zifeng Zhao

Assistant Professors:
Francis Bilson Darku; Jeff Cai; Eojin Han; Cam Kormylo; John Lalor; Junghee Lee; Shawn Qu; Margaret Traeger; Yang Yang; Chengcheng Zhai

Teaching Professor, and Academic Director of Computer Science/Business Program:
Michael Chapple

Teaching Professors:
Robert Lewandowski; Jennifer Waddell

Associate Teaching Professor, and Academic Director of the Global EMBA Program:
Brandon Erlacher

Associate Teaching Professors, and Academic Co-Directors of the Master of Science in Business Analytics Residential Program:
Seth Berry; Sharif Nijim

Associate Teaching Professors:
Martin Barron; Xiaojing Duan; Frederick Nwanganga

Assistant Teaching Professor, Assistant Department Chair, and Director of Undergraduate Studies:
Joe Ke

Assistant Teaching Professor:
Josephine Akosa

Programs of Study

The IT, Analytics, and Operations Department offers a major in Business Analytics, and minors in AI and Analytics in Business.

The Department of Information Technology, Analytics, and Operations offers their courses under the subject code of: Information Technology, Analytics, and Operations (ITAO). Courses associated with their academic programs may be found below. The scheduled classes for a given semester may be found at classearch.nd.edu.

Information Technology, Analytics, and Operations (ITAO)

ITAO 20200 Statistical Inference in Business (3 Credit Hours)

Statistical Inference in Business focuses on using data to make sound inferences about a population based on sample data, especially in business contexts. More specifically, students will learn how to make inferences using test statistics and confidence intervals in contexts of multiple groups and/or multiple variables, with multiple regression and related methods heavily emphasized. Throughout the course, issues of sampling variability, research design, causality, and the assumptions and limitations of the methods are discussed. Students will supplement their conceptual understanding of the material using statistics software.

Satisfies the following University Core Requirements: WKQR- Core Quantitat Reasoning

Enrollment limited to students in the Mendoza College of Business college.

ITAO 20210 Foundations of Coding for Data and AI (3 Credit Hours)

This course introduces students to coding and computational thinking using Python, a foundational language for data analytics, machine learning, and AI-enabled business systems. The course develops students’ problem-solving and analytical skills through core programming fundamentals, including when and how to use different data types and structures, how to implement decision-making and iterative processes, and how to write reusable code for efficiency and scalability. Through hands-on assignments using real-world datasets relevant across business disciplines, students gain experience in collecting, analyzing, and visualizing data to support data-driven business decision-making. The course builds a foundation for more advanced coursework in analytics, AI-enabled decision making, and technology-driven business strategy.

ITAO 20600 Introduction to Business Technology and Analytics (3 Credit Hours)

Enrollment limited to students in the Mendoza College of Business college.

ITAO 24210 Coding Fundamentals with Python (3 Credit Hours)

It is very important in the current age of automation and data-driven business models to have a basic understanding of coding, and to acquire some of the skills of programming. This course introduces students to Python, a widely used programming language among data scientists, with the goal of cleaning, modeling, transforming and analyzing data. Students will learn fundamentals of coding, use python packages for acquiring data from various sources, learn skills to slice and dice the data and produce data visualizations. They will gain experience in Python and apply these skills in generating reproducible reports in business contexts. In addition, students will have opportunity to apply programming skills and work on various projects/datasets that are pertinent to all the majors in the business school.

ITAO 24601 Introduction to Business Technology and Analytics (3 Credit Hours)

Businesses today generate large amounts of data. Analysts are tasked with using that information to identify trends and problems, improve decision-making, increasing efficiency and optimize business processes. All of this can be achieved using Microsoft Excel and its add-on Business Intelligence tools such as Solver, Power Query and Power Pivot. This fully online course provides an introduction and structure to analyzing what-if scenarios, organizing big data, using relational databases and developing clear data visualizations all using one application - Microsoft Excel. Note: this course is delivered fully online. The course design combines required live weekly meetings online with self-scheduled lectures, problems, assignments, and interactive learning materials. To participate, students will need to have a computer with webcam, reliable internet connection, and a quiet place to participate in live sessions. No financial aid is available for this course. _______________________________________________________________________________________________________________________ Galway, Ireland: This course will enable students to become power users of decision supporting systems, such as MS Excel, to build models of unstructured problems so they can make better decisions and gain insight into the impact various factors have on those decisions. Students will also learn how to apply techniques from probability theory to analyse and critique information and facts they are provided with.

ITAO 30100 Analytics Workflows with Power BI (3 Credit Hours)

Business Analytics allows us to make sense of what we see in the real world by using data and a systematic approach to solve real problems and make business decisions. This course provides the fundamental concepts and methods needed to understand the emerging role of business analytics in organizations. You will learn how to properly plan an analytics strategy, collect data, analyze the data and report findings through visualizations and storytelling. Having a strong understanding of concepts in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success in the remainder of the Business Analytics major and beyond.

ITAO 30110 Applied AI for Business Professionals (3 Credit Hours)

This course develops the technical fluency and managerial judgment required to engage with artificial intelligence as a professional technology. Students examine how modern AI systems work—including the architecture and behavior of large language models and generative AI—and build the skills to evaluate outputs, diagnose failure modes, and recognize structural limitations. Emphasizing informed and responsible use rather than task automation alone, the course focuses on prompt design, workflow integration, tool evaluation, and effective human–AI collaboration across professional contexts. Students learn to assess when AI systems are appropriate, where they introduce risk, and how to interpret and communicate AI-generated outputs with clarity and accountability. The course also addresses organizational, ethical, and governance considerations, including transparency requirements, accountability structures, risk management, and the implications of AI-enabled decision-making. Designed for students pursuing careers across business functions, the course prepares graduates to apply AI technologies thoughtfully, effectively, and ethically in professional settings from the outset of their careers.

ITAO 30150 Data Storytelling (1.5 Credit Hours)

A principal challenge for anyone working with ubiquitous data is communicating results of an analysis to stakeholders. This course teaches students the art of clear, effective, and engaging data presentation with attention to the business necessity of translating complex technical subjects into actionable insights for a lay audience. Students will harness the power of storytelling for the strategic benefit of an organization by turning a raw set of data into a compelling message that resonates with an intended audience.

Prerequisites: (MGT 20200 or MGTO 20100) and (BAMG 20150 or ITAO 20200 or ECON 30331 or ACMS 30540 or ACMS 30600 or MATH 30540) and (MGT 20600 or ITAO 20600) and ACCT 20100 and FIN 20150 and MARK 20100 and ITAO 30240 (may be taken concurrently)

Enrollment is limited to students with a program in Business Analytics or Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30160 Communicating with Data in the Age of AI (3 Credit Hours)

The development of data insights to create a competitive advantage, optimize processes, and drive strategy is now a requirement for modern organizations. While the commercialization of data tools powered by AI has made information more accessible, it has also created an environment of "noise" that often obscures the insights necessary to create value. This course prepares students to cut through that noise by mastering the bridge between technical rigor and strategic communication. Students will develop a foundation in effectively communicating clear, actionable visual insights using Tableau—moving into advanced territory with Level of Detail (LOD) expressions and Python integration. Furthermore, the course explores the transformative role of Generative AI in the business world. Students will critically evaluate the strengths and weaknesses of AI in automating visualizations and drafting business communications, learning to leverage these tools ethically and effectively while maintaining the human-centric "last mile" of decision-making.

Prerequisites: (ITAO 20200 or ECON 30331 (may be taken concurrently) or ACMS 30540 (may be taken concurrently) or ACMS 30600 (may be taken concurrently) or MATH 30540 (may be taken concurrently) or ECON 30341 (may be taken concurrently) or GLAF 10003 (may be taken concurrently) or ITAO 24201) and (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116)

ITAO 30170 AI in Business (3 Credit Hours)

This course provides students with practical experience using artificial intelligence tools to solve business problems from initial analysis through executive presentation. Students will learn to leverage generative AI for understanding complex business concepts, performing data analytics and visualization, conducting competitive research, and implementing advanced analytical models. Throughout the semester, students will develop a complete business analytics project while building skills in AI-assisted insight generation, professional report preparation, and stakeholder communication. The course emphasizes thoughtful integration of AI tools to enhance business decision-making while maintaining analytical rigor and ethical practices.

ITAO 30210 Data Analysis with Python (3 Credit Hours)

It is very important in the current age of big data and data-driven business models to have basic skills of programming. This course introduces students to Python, a widely used programming language among data scientists, with the goal of cleaning, modeling, transforming and analyzing data. Students will learn fundamentals of programming, use python packages for acquiring data from various sources, learn skills to slice and dice the data and produce data visualizations. They will gain experience in Python and apply these skills in generating reproducible reports in business contexts. Also, this course prepares them for more advanced data science and machine learning methods.

Prerequisites: (BAMG 20150 or ITAO 20200 or ECON 30331 or ACMS 30540 or ACMS 30600 or MATH 30540) and (MGT 20600 or ITAO 20600) and (MGT 20200 or MGTO 20100) and ACCT 20100 and FIN 20150 and MARK 20100

Enrollment is limited to students with a program in Business Analytics, Business Analytics, Business Intelligence or Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30220 Predictive Analytics (3 Credit Hours)

Predictive analytics uses data, statistical modeling, and machine learning to forecast future outcomes and support better decisions. This course introduces the tools and techniques organizations use to turn large, complex datasets into actionable predictions. Students will learn how companies use data to anticipate customer behavior, manage risk, optimize operations, and gain competitive advantage, such as recommending products, predicting loan defaults, or identifying customer churn. Topics include data preparation, predictive modeling, classification and regression methods, model evaluation, and the practical use of machine learning algorithms. Emphasis is placed on applying analytics and computing tools to real business problems and interpreting results for decision-making. By the end of the course, students will understand how predictive models are built, validated, and deployed, and how analytics and AI techniques shape modern organizational strategy.

Prerequisites: (ITAO 20200 or ECON 30331 (may be taken concurrently) or ACMS 30540 (may be taken concurrently) or ACMS 30600 (may be taken concurrently) or MATH 30540 (may be taken concurrently) or GLAF 10003 (may be taken concurrently) or ECON 30341 (may be taken concurrently) or ITAO 24201) and (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232)

Enrollment is limited to students with a program in Business Analytics, Business Analytics, Business Intelligence or Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30230 Data Foundations for Computing and Analytics (1.5 Credit Hours)

This course provides a hands-on foundation in the data systems and analytical workflows that underpin modern analytics and AI applications. Students learn how structured business data is stored, managed, and queried using relational databases, with extensive practice using SQL on real-world datasets. The course also introduces data wrangling and visualization in R, focusing on transforming raw data into analysis-ready formats and communicating insights effectively. Throughout the course, students develop end-to-end data workflows spanning databases, data preparation, and analytical visualization. The course concludes with an overview of big-data concepts and unstructured data, highlighting how foundational data skills scale in contemporary data- and AI-driven organizations.

Prerequisites: ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10116 or EG 10118

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30240 Data Exploration and Visualization (1.5 Credit Hours)

The use of tables and graphs to communicate quantitative information is a customary practice in businesses today, yet few have learned the design practices that make the communication of data most effective. This course serves as an introduction to productive data visualization practices and will bring students one step closer to helping their organization solve business problems visually. Students in this course will understand the fundamentals of visual perception, graphs and tables and how to apply these design skills. In addition, students will gain hands on experience creating exploratory and explanatory data visualizations using Tableau, an industry leading tool.

Prerequisites: (MGT 20600 or ITAO 20600) and (BAMG 20150 or ITAO 20200 or ECON 30331 or ACMS 30540 or ACMS 30600 or MATH 30540) and (MGT 20200 or MGTO 20100) and ACCT 20100 and FIN 20150 and MARK 20100

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30250 Data Wrangling (1.5 Credit Hours)

You can find data everywhere, but that does not mean that it is always ready to analyze. Data is increasingly being saved in complicated structures, while also becoming larger. With this increasing complexity, analysts need to be able to perform any number of data manipulation tasks. In this class, we will start at the basics of R (vectors, lists, and data frames) and work our way up through iteration, functions, and visualization. Through our class activities, you will be able to more confidently and quickly work with data-related tasks that require high-level programming.

Prerequisites: (ITAO 20200 or ITAO 24201 or ECON 30341 (may be taken concurrently) or ACMS 30540 (may be taken concurrently) or ACMS 30600 (may be taken concurrently) or MATH 30540 (may be taken concurrently) or GLAF 10003 (may be taken concurrently) or ECON 30331 (may be taken concurrently)) and (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232)

Students cannot enroll who have a program in Business Analytics.

ITAO 30310 AI for Good (3 Credit Hours)

Traditional strategies to fight against poverty, inequality and climate change have proved ineffective in the last decades. New and creative solutions are required where cutting-edge technological innovation and multidisciplinary work serve the common good. In this course, you will explore the state of the art in AI business development and its ethical implications in relation to current global societal and environmental challenges. You will reflect on your individual role in society and develop critical thinking about the current socio-technical value system. Our readings will include original works of philosophers, economists and computer scientists as well as examples of state-of-the-art AI supported business and institutional projects. As a result of the readings and class discussions, you will acquire well-informed understanding about the implications of the AI Trustworthy principle of justice and fairness, including non-discrimination and avoidance of unfair bias. You will become aware of the potential for AI to contribute, if well managed, towards fairer and more sustainable societies as well as the dangers it entails to widen inequalities and aggravate the discrimination suffered by vulnerable communities. This is a hands-on course where you will be ideating and planning projects for the social good. I will accompany you in the development of business plans where ethics is the driver and AI is the key instrument. I will help you define your project idea in line with the United Nations Sustainable Development Goals (UN SDGs). Therefore, your projects will be designed to work towards mitigating poverty, reducing gender and race inequality, combating climate change, improving the sustainability of cities and communities, ensuring affordable and clean energy, achieving responsible consumption and production, improving the quality of education, providing better health and well-being services, ensuring decent work and economic growth or promoting peaceful and inclusive societies. The goal of the course is to encourage and support you, as new entrepreneurs and future leaders, to work in multidisciplinary teams and develop interdisciplinary skills, being able to take advantage of new technology to create and manage projects for ethics in action.

ITAO 30320 AI and Global Business (3 Credit Hours)

Artificial intelligence is not just another technology—it is a fundamental force reshaping how firms compete, create value, and organize themselves in the global digital economy. This course provides a strategic and economic lens for understanding AI's transformative impact on industries, markets, and societies worldwide. Drawing on a framework of technology evolution spanning computation, information, and interaction, students will explore how AI fits into a longer arc of digital innovation while examining what makes this moment distinctly different across geographies and cultures. Topics include the economics of data and algorithms, platform business models, network effects, pricing strategies, cross-border digital trade, and the organizational implications of AI adoption in diverse international contexts. Students will evaluate recent developments in machine learning and generative AI and analyze their strategic, regulatory, and governance implications across different frameworks—equipping them to think clearly about how firms can harness AI to build durable competitive advantage in technology-mediated markets.

ITAO 30350 Language Processing in Practice (3 Credit Hours)

Natural Language Processing (NLP) has emerged as a crucial skill in the workforce, especially with the advent and accessibility of generative AI technologies. From intelligent chatbots and virtual assistants to automated content creation and sentiment analysis, NLP applications are transforming industries and redefining how we interact with technology. Mastery of NLP techniques and tools not only opens doors to careers in the technology sector but also equips students to contribute to innovations that shape our future. Language Processing in Practice is a hands-on course designed to introduce students to the fundamental theory and applications of NLP, with a special emphasis on working with large language models, generative AI, and the Hugging Face ecosystem. The course focuses on practical techniques for processing, analyzing, generating, and understanding human language data. Students will explore key topics such as text preprocessing, tokenization, part-of-speech tagging, parsing, sentiment analysis, topic modeling, machine translation, and text generation. The curriculum places a strong emphasis on modern NLP libraries and frameworks like NLTK, spaCy, and particularly Hugging Face Transformers. Through a series of projects and assignments, students will gain experience in building NLP applications, creating word embeddings with pre-trained large language models, and generating human-like text using generative AI models. Basic proficiency in Python programming is required.

Enrollment is limited to students with a program in Businss Technology & Analytics.

ITAO 30390 Fundamentals of Cryptocurrencies, Blockchain Technology, and NFTs (3 Credit Hours)

This course will provide students with a comprehensive introduction to the world of cryptocurrencies, blockchain technologies, and NFTs. The course will cover what blockchain is and how it works. It will also explore many of the applications of the technology today including those in the financial industry, supply chain, and in government. In addition, cryptocurrencies, which run on top of blockchain technology are the most prevalent uses of blockchain. The course will cover how cryptocurrencies work, the cryptocurrency marketplace, and the future of digital money. Other uses of blockchain explored in the course will include non-fungible tokens (NFTs), DeFi, and Smart Contracts. Finally, the course will cover the ethical, legal, and socio-political challenges of these technologies. The course will feature guest lectures from Silicon Valley founders of startups in this space.

ITAO 30610 Application Development (3 Credit Hours)

While most of us use computers as part of our daily lives, very few of us know how the computer programs we use actually work. Using object-oriented event-driven programming, we'll build and use programs that allow the computer to perform functions you design. Your VBA (Visual Basic for Applications) programming skills will help you develop expertise as the go-to person for programming solutions, especially within Excel and other MS Office applications, and will transfer easily to many other programming languages including programming for the Internet.

Enrollment is limited to students with a program in Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30620 Emerging Technologies and Business Innovation (1.5 Credit Hours)

Digital disruption is reshaping entire industries in today's global economy. In this dynamic environment, organizations must be agile and innovate with emerging technologies to generate new value propositions. Using the concept of "macro technology forces," we will explore how the past, present, and future of IT innovation tends to follow the same three-tiered architecture over the past 160 years: Computation, Information, and Interaction. This course will provide you with a frame of reference, or lens, to apply to business problems that will help you think about ways that firms can be digitally transformed.

Enrollment is limited to students with a program in Information Tech. Management or Management Consulting.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30630 Systems Analysis and Design (3 Credit Hours)

Each day, organizations like Wal-Mart analyze hundreds of millions of transactions to increase efficiency and better serve their customers. We'll use market-leading Oracle Enterprise Database software to store and analyze large datasets just like Wal-Mart does. In addition, you'll serve as an IT consultant and build a real-world application for a client organization. In this role, you'll experience the entire system analysis process, including problem definition & analysis, design processes, testing, and implementation.

Prerequisites: (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232)

Enrollment is limited to students with a program in Business Intelligence or Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30640 Privacy and Security (3 Credit Hours)

This course provides a comprehensive introduction to information security, blending theoretical foundations with practical insights to prepare future organizational leaders for real-world cybersecurity challenges. Designed for students with basic computer knowledge and no prior security experience, covering critical domains such as risk management, data privacy, cryptography, and network security. Building on those technical fundamentals, the course is specifically designed to empower managers and leaders to make informed, strategic decisions when navigating security threats and protecting organizations. The curriculum aligns with the professional CISSP certification program specification.

Prerequisites: ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10116 or EG 10118

Enrollment is limited to students with a program in Information Tech. Management.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30660 Project Management (3 Credit Hours)

In today's competitive landscape, successful project execution is not merely a tactical function—it is a critical driver of business strategy and ROI. Despite this, industry reports confirm a persistent high rate of project failure, highlighting a glaring leadership skills gap in organizations globally. This course is designed for future leaders who drive strategic initiatives from conception to value realization. We provide a comprehensive mastery of the frameworks, concepts, and tools required to successfully deliver tangible business value through projects. Our curriculum is guided by the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK), offering a deep dive into the governance and definitions necessary to manage complex deliverables. This foundational knowledge positions you to begin preparing for Project Management Professional (PMP) certification. Furthermore, to ensure market readiness, the course integrates essential knowledge of popular and highly effective Agile methodologies, including Scrum and Kanban. To address the reality that projects often fail due to people-related issues, we discuss Change Management, or mastering the people side of organizational transformation. We will also demonstrate how to use AI to manage projects more effectively. The ultimate objective of this class is to equip you to consistently deliver the right solution, executed with precision (on time and on budget), that is fully adopted by your customers to ensure maximum business value. This class is your path to becoming a successful executive who drives strategic success.

Prerequisites: ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10116 or EG 10118

ITAO 30670 The Video Game Industry (3 Credit Hours)

The production and business of video games has grown to become a $200+ billion industry and a leading form of entertainment globally. Video games attract players from diverse backgrounds and the mainstream consumer base is no longer limited to "hardcore gamers." Games have garnered mass appeal on social and casual platforms, PCs and consoles, smartphones, virtual reality, in competitive eSports tournaments, and more. Weekly topics of study in this course include game design/psychology, gaming technologies, artistic fundamentals, development workflows, business models and structures, funding and financing, marketing, distribution channels and markets, and legal/ethical issues. Through lectures, discussions, group exercises, reading assignments, and gameplay sessions, students will gain a thorough understanding of this highly creative and complex industry. Furthermore, students will gain an appreciation for video games as a legitimate form of art and a significant force for cultural impact.

ITAO 30700 Cybersecurity (1.5 Credit Hours)

Cybersecurity is at the heart of protecting modern organizations, ensuring the confidentiality, integrity, and availability of critical information and systems. In this course, students will build an understanding of the principles, processes, and practices that underlie effective security programs. We will examine the roles of risk management, access control, network and system defense, incident response, and continuity planning, while also considering the human, organizational, and strategic dimensions of security. Through a combination of analytical frameworks, applied exercises, and discussions, students will develop the knowledge and skills needed to assess vulnerabilities, design security controls, and support resilient operations in diverse environments.

ITAO 30800 Introduction to Process Analytics (1.5 Credit Hours)

Businesses compete based on the efficiency and effectiveness of delivering an experience, service, or good to their customers. This class provides a foundation for evaluating and analyzing business processes in order to make them more efficient and effective. Students will understand the problems and issues confronting operations managers. Furthermore, they will also learn language, concepts, insights, and tools to deal with these issues in order to gain competitive advantage through process analytics. The concepts and tools presented in this class can be applied to the service or manufacturing sector, to for-profit or not-for-profit organizations and all disciplines within a business.

Prerequisites: (ACMS 10145 or ACMS 10091 or ACMS 30530 or MATH 30530 or BAMG 20150 or ITAO 20200 or ECON 30330 or PSY 30100 or SOC 30903 or ACMS 20340 or ACMS 30440 and (MGT 20200 or MGTO 20100) and ACCT 20100 and FIN 20150 and (MGT 20600 or ITAO 20600) and MARK 20100

Enrollment limited to students in the Mendoza College of Business college.

ITAO 30810 Intelligent Processes and Supply Chain Analytics (3 Credit Hours)

Business and government leaders are increasingly recognizing the importance of involving the whole organization in making strategic decisions in order to compete globally. Because an organization usually commits a bulk of its human and financial assets to operations, operations is an important function in meeting global competition. Firms today compete on multiple dimensions and must align their operations to whatever competitive choices they make. Successful firms have demonstrated that operations can be an effective competitive weapon and, in conjunction with well-conceived marketing and financial plans, these firms have made major penetrations into markets worldwide. This course is designed to address key operations and supply chain management issues in a variety of contexts including manufacturing and service organizations as well as for-profit and non-profit organizations. Students will understand the role of operations in the overall business strategy of the firm and be able to identify and evaluate the key factors in the design of effective operations for the production of products and delivery of services. The course also covers a range of tools appropriate for the analysis of a firm’s operations and offers an opportunity to discuss and compare various approaches to operations and supply chain management in an international context. The aim of this course is to (1) familiarize students with operations and supply chain management, and (2) provide students with language, concepts, insights and tools to solve operational issues in order to gain competitive advantage through more efficient and effective processes.

ITAO 34161 Conveying Visual Data Insights (3 Credit Hours)

The development of data insights utilized to create a competitive advantage, optimize processes and decide on strategy is increasingly becoming more commonplace in organizations today. Software companies have "commercialized" this process and made access to information from datasets available to anyone through easy tools and interfaces, yet this has created an environment full of noise, leading to a loss of the important insights necessary to create value. This course will provide a foundation for students to develop and effectively communicate clear visual insights and actionable data necessary for defined audiences using Tableau and other visualization and presentation tools.

ITAO 34220 Predictive Analytics (3 Credit Hours)

The unprecedented availability of data and information now allows companies to rely on facts rather than intuition to drive their business decisions. Giant online retailers like Amazon.com investigate customers' browsing histories to recommend products that may be of interest to customers. Banks study the payment patterns of old customers to predict the likelihood that new borrowers will default. Wireless providers analyze usage data to predict customer turnover. Firms can make better strategic and tactical decisions and gain competitive advantages by leveraging the tremendous amount of data now available on the table. We'll study the tools and techniques these companies and others use to make better and faster decisions, and we'll learn about how methods such as data mining can be used to extract knowledge from data.

ITAO 34232 Data Management (3 Credit Hours)

This module provides an overview to data management aspects of Data Science. It provides students with an introduction to Databases. Students should learn how to design and create a database using the entity-relationship model, express queries in SQL, understand relational database theory and validation concepts such as normalisation and functional dependencies.

ITAO 34500 Special Topics (1-4 Credit Hours)

University of Sydney - ITAO 34500: Special Topics / Section: Digital Businesses Innovation The Digital Economy, with its focus on information as a key business resource, has changed the way Business Information Systems (BIS) is viewed in organisations. BIS are now seen as enablers of innovation in which people, supported by powerful technology, are considered to be the most important component. This is because problem-solving, innovation and critical thinking skills cannot be outsourced or easily acquired by competitors. This unit is designed to develop your understanding of how businesses operate. It shows how information systems support business operations and management through integration of people, business processes and systems. You will be provided with an introduction to state-of-the-art business analysis techniques, frameworks and models to assist in understanding the nature and contribution of BIS in a range of business contexts. With its emphasis on business rather than IT, this unit does not require prior IT-related experience. In this unit, you will learn about the increasingly important role of IT in business and acquire valuable business analysis and problem-solving skills. MM - Mexico City, Mexico: Special Topics Section: Business Programming This course introduces students to programming logic and database management applied to business contexts. Using tools such as Python, spreadsheets, and SQL, students learn to model information flows, design solutions to business problems, and develop data-driven decision-making skills.

ITAO 34610 Programming Fundamentals (3 Credit Hours)

This is an introduction to computer programming. Students will learn to write simple computer programs, including variables, basic flow control, basic types (including strings).1. write, debug and run simple computer programs. 2. use basic computer programming types (integers, floating-point numbers, Booleans and strings) appropriately in simple computer programs. 3. use basic flow-control constructs (conditionals and loops) in simple computer programs. 4. design algorithms for solving simple computational problems. 5. estimate the complexity of simple computer programs.

ITAO 34620 Digital Transformation (3 Credit Hours)

To develop the students' knowledge of the use of Information and Communications Technology (ICT) in business and organisational systems, and the organisational and technical issues relevant to developing and using such systems. DU - Dublin City University: Invited leaders in Dublin recent shift towards a technology-focused economy give speeches on key concepts on how to be a successful leader/organization in this ever-changing world. Students submit reflection on what they learned from technical, scientific, business/organizational, and political perspectives.

ITAO 34630 Information Systems Technology (3 Credit Hours)

The objective is to provide students with an introduction to information systems and their underlying technologies. Students are introduced to computers and technology, how this technology is used in business, and some of the societal implications of computers and related technology. Students will be given an insight into the use of information technology and information systems in business.

ITAO 34640 Privacy and Security (3 Credit Hours)

This module aims to equip students with the basic knowledge of how local area networks and the Internet work and how they interact. To give them an appreciation of the interaction of the main protocols and the helper protocols combine to provide a hierarchy of communications services. The ability to secure information within a modern enterprise is a growing strategic importance. This course provides the foundation for understanding the key issues associated with protecting information assets. This module provides participants with a comprehensive understanding of the field of cyber security, and the knowhow to develop to policies to implement information security controls.

ITAO 34660 Project Management (5 Credit Hours)

Module aims Introduce students to the concepts of Project Management. Make students aware of the issues in identifying and selecting projects and in planning, performing and controlling the project. Give students an understanding of the different possibilities in developing the schedule, resource utilisation, determining costs, managing risk, closing a project and related ethical issues. Introduce students to Project Management responsibilities and skills needed. Introduce students to Project Management Information Systems. NU - Norwich, UK (Univ of E. Anglia) Project management has become an increasingly important approach to managing, both within and between organisations, and skilled project managers are in increasing demand across all sectors of the economy. This module will introduce you to the basic tools, techniques and skills required to create, plan, deliver and evaluate projects. In the module you will work, in teams, to use these skills to develop a project plan and manage a real project for a sponsor, including developing detailed objectives, a time- plan, a budget, a risk register and a communications plan to ensure that all stakeholders remain informed. You will execute your project using controls to ensure that you stay on track and you will develop an evaluation plan to provide robust evidence of outcomes. You will then organise and document a post- project review meeting with your sponsor.

ITAO 34810 SVS Immersion Experience - Projects in Technology (3 Credit Hours)

This S/U course is only for students participating in the SVS experience in Fall semesters. To enroll in this course, permission must be granted by the Director of the SVS program. The course entails independent project work in Silicon Valley through participation in internships and associated written reflection assignments.

ITAO 34820 SVS Immersion Experience (1 Credit Hour)

This S/U course is only for students participating in the SVS experience in Spring semesters. To enroll in this course, permission must be granted by the Director of the SVS program. The course entails attendance at all events organized by ND California related to professional development, career planning and networking.

ITAO 34999 Enterprise Information Systems (3 Credit Hours)

Dublin City University: To develop the students' knowledge of the use of Information and Communications Technology (ICT) in business and organisational systems, and the organisational and technical issues relevant to developing and using such systems.

ITAO 40150 Prescriptive Analytics for Business Decision-Making (1.5 Credit Hours)

Data plays a crucial role in modern business, and firms rely on vast amount of information to understand trends and anticipate key uncertainties, such as customer demand, market conditions, and operational risks. Yet, the true value of data is realized only when organizations can make optimal decisions based on these insights and effectively integrate data into their business processes. This critical step, known as decision (or prescriptive) analytics, extends beyond traditional statistics and predictive analytics. In this course, students will explore simulation and optimization as essential tools for business decision-making. Through a mix of theoretical foundations and hands-on applications, students will learn how to model complex systems, obtain decisions under uncertainty, and identify the best possible actions. We will also examine a variety of real-world applications, ranging from retail and healthcare to revenue management and supply chains.

Prerequisites: (ITAO 20200 or ITAO 24201 or ECON 30331 (may be taken concurrently) or ACMS 30540 (may be taken concurrently) or ACMS 30600 (may be taken concurrently) or GLAF 10003 (may be taken concurrently) or MATH 30540 (may be taken concurrently) or ECON 30341 (may be taken concurrently)) and (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232)

Enrollment is limited to students with a program in Business Analytics, Information Tech. Management or Management Consulting.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40217 Digital Forensic Analysis (3 Credit Hours)

Digital devices and communications are a part of daily life. From computers to cell phones to online accounts, we generate a significant digital footprint. As such, most civil and criminal investigations contain a nexus to digital evidence. This course will cover the principles of digital forensic analysis, including Electronic Discovery and the forensic process of Extraction, Processing, and Analysis. Students will learn and develop skills related to: acquiring smartphone, computer, removable media, and other forensic images; analyzing artifacts, file systems, and registry data; use of multiple methods and verification features to validate findings; and how to generate reports and distribute findings to share digital forensic results quickly and easily. Students will have the opportunity to use commercial digital forensics software to participate in hands-on lectures and practical exercise. This will include conducting digital forensic analysis on a computer, an iOS device, an Android device, and multiple items from cloud accounts. At the conclusion of the course, students will have a firm base knowledge of digital forensics and be able to independently perform digital forensics exams.

ITAO 40218 Forensic Psych of Cybercrimes (3 Credit Hours)

The use and interaction with digital devices and the internet are ingrained in our lives. This course will introduce students to the principles of forensic psychology as they apply to cybercrime offenses. Students will learn the psychology of various types of offenders, including those of hackers, online child offenders, cyber stalkers, and identity thieves. Students will also learn the psychology of the online activities of those who have carried out mass killings.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40230 Python for Business Analytics and AI (1.5 Credit Hours)

This course aims to help students develop advanced data analytics and AI skills to tackle real-world business challenges. Using Python, students will learn to clean, transform, and analyze large datasets to uncover meaningful patterns and translate them into business intelligence through insightful visualizations. Students will also learn the essential machine-learning techniques to forecast trends and make predictions. Additionally, students will learn how to build AI agents to automate workflows and enhance decision-making. Emphasizing practical applications, this course will equip students with extensive hands-on experience in the most popular Python libraries including NumPy, Pandas, Matplotlib, Seaborn, scikit-learn as well as modern frameworks for building AI agents such as LangChain, AutoGen, and CrewAI. At the completion of the course, students will be able to leverage data analytics and AI skills to help businesses enhance decision-making, optimize performance, and create competitive advantage. Students are strongly encouraged to complete ITAO 30220 before enrolling in this course.

Prerequisites: ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10116 or EG 10118

ITAO 40250 Unstructured Data Analytics (1.5 Credit Hours)

This course introduces students to the analysis of unstructured data, including text, documents, and other data formats that do not conform to traditional relational database structures. Unstructured data is a dominant source of information in modern organizations and plays a central role in analytics, machine learning, and AI-enabled systems. Students learn how to identify, collect, and prepare unstructured data from sources such as emails, social media, online reviews, and business documents. The course covers foundational analytic techniques for extracting information from unstructured data, including text preprocessing, word counts, document-term representations, and classification methods. Students are also introduced to deep learning approaches for unstructured data and the role of generative AI models in tasks such as text generation, summarization, and information extraction. Through applied exercises and business-focused examples, students develop practical skills for transforming unstructured data into actionable insights. Emphasis is placed on understanding how traditional text analytics, deep learning, and generative AI techniques can be used responsibly to support automation, prediction, and data-driven decision making. Students are strongly encouraged to complete ITAO 40230 before enrolling in this course.

Prerequisites: (ITAO 30220 or ITAO 34220 or ITAO 34221) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232) and ITAO 30100

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40420 Applied Machine Learning (1.5 Credit Hours)

This course introduces the core concepts, methods, and applications of machine learning, a central component of modern artificial intelligence and data-driven systems. Students learn how algorithms identify patterns in data and make predictions or decisions without explicit rule-based programming. The course covers foundational machine learning approaches, including supervised and unsupervised learning, with emphasis on model selection, evaluation, and best practices for responsible deployment. Students examine how machine learning systems are trained, validated, and used in real-world settings, and explore issues related to AI safety, ethics, bias, and transparency. Through applied examples and case studies drawn from a range of domains, students develop an understanding of how machine learning supports automation, prediction, and intelligent decision making. The course prepares students to engage critically and practically with AI-enabled technologies across analytics, strategy, and technology-driven organizations. Students are strongly encouraged to complete ITAO 40230 before enrolling in this course.

Prerequisites: (ITAO 30220 or ITAO 34220 or ITAO 34221) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232) and ITAO 30100

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40430 Customer Engagement Analytics (1.5 Credit Hours)

With the continued disruption of consumer attention caused by changes in technology, understanding how to navigate multi-channel marketing tactics, personalization, privacy and tracking methods is more important than ever. Students will learn to identify and attract desirable audiences and provide them with the appropriate experience to drive engagement and firm value. We will examine the strategies and analytics of customers moving through a typical marketing funnel via different devices, platforms, and stages and learn to apply the correct targeted tactics based on data during the different stages — acquisition, engagement, conversion and retention. Social, search, content and conversion analytics will be explored and applied to maximize the customer value utilizing different tools such as Google Analytics, Customer Data Platforms, Content Recommenders and Data Management Platforms.

Prerequisites: ITAO 30230 or ITAO 34231 or ITAO 34230 or ITAO 34232

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40450 Data Acquisition (1.5 Credit Hours)

There is no shortage of data in the world. While data is constantly swirling around us, actually acquiring it can prove difficult. To make actionable insights, we need a way to collect that data and prepare it for analysis. In this course, you will learn how to acquire data through several methods: application programming interfaces (APIs), web scraping, web-based surveys, and streaming. We will take an in-depth look at each of these technologies, so that you can apply them in any real analytics scenario. You will be able to use these various technologies to collect data and conduct analyses commonly seen for each type of method (from standard modeling techniques to factor analysis and beyond). This course will focus on using R, Python, and Qualtrics to collect and analyze data, in addition to exploring modern data streaming technologies. While Qualtrics will be used for survey creation and administration, the survey methodology skills will translate to any survey program.

Prerequisites: (ITAO 20200 or ITAO 24201 or ECON 30331 (may be taken concurrently) or ACMS 30540 (may be taken concurrently) or ACMS 30600 (may be taken concurrently) or MATH 30540 (may be taken concurrently) or GLAF 10003 (may be taken concurrently) or ECON 30341 (may be taken concurrently)) and (ITAO 20210 or ITAO 24210 or ACMS 20220 or EG 10118 or EG 10116) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34242)

Enrollment is limited to students with a program in Business Analytics.

ITAO 40510 Ethics of AI and Data Analytics (1.5 Credit Hours)

Artificial intelligence and data-driven decision-making have afforded unprecedented opportunities for value creation, while also introducing a complex set of risks for organizations and society. These risks extend beyond technical performance to how data and AI systems are designed, deployed, and governed—and to concerns about agency, dignity, accountability, privacy, trust, and safety. Grounded in foundational ethical inquiries, the course equips students to analyze complex, ethically inflected AI decisions in the light of individual actions, organizational challenges, social and regulatory environments, and operational realities. Students examine the ethics of data creation, collection, storage, use, and transfer in a landscape increasingly dominated by AI-powered algorithms.

Enrollment is limited to students with a program in Business Analytics, Business Analytics, Business Intelligence or Information Tech. Management.

ITAO 40515 AI Auditing and Governance (3 Credit Hours)

As artificial intelligence systems shape organizational and societal outcomes, there is a growing need for professionals who can evaluate, stress-test, and govern these systems responsibly. This course introduces AI auditing, the systematic evaluation of AI systems across the data, model, and deployment lifecycle. Students examine issues such as bias, fairness, transparency, privacy, and robustness using a combination of computational labs and case-based analysis. Through hands-on team-based audits, students develop practical skills in documenting datasets, evaluating models, red-teaming generative AI systems, and translating technical findings into organizational recommendations. The course emphasizes AI as a sociotechnical system and prepares students to contribute to AI governance, risk management, and responsible deployment in real-world settings.

ITAO 40520 Sports Analytics (1.5 Credit Hours)

This course develops essential data analytics and AI skills through the engaging context of sports, teaching students to think probabilistically, make decisions under uncertainty, and extract insights from complex datasets including box score data, play-by-play sequences, Statcast tracking data, and GPS performance metrics. Students will master fundamental analytical techniques, performance quantification through KPIs, ranking systems, simulation modeling, and machine learning approaches, using sports as a data-rich laboratory where analytical decisions have immediate, visible impact. Through hands-on work and strategic use of AI tools, the course covers core business analytics capabilities: cleaning messy data, identifying meaningful patterns, controlling for confounding factors, building predictive models, and communicating data-driven recommendations to diverse audiences. The course culminates in a student-designed analytics project that replicates the complete workflow of a professional sports analytics team, from problem identification and data acquisition through modeling, interpretation, and executive presentation, providing hands-on experience with the end-to-end analytical process used by organizations to drive strategic decisions.

Prerequisites: ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232

Enrollment is limited to students with a program in Business Analytics, Business Analytics or Business Intelligence.

Enrollment limited to students in the Mendoza College of Business college.

ITAO 40530 Human Performance Analytics (1.5 Credit Hours)

This course applies data analytics, machine learning, and AI tools to optimize individual athlete performance and health management using diverse data sources including GPS tracking, wearable sensors, heart rate monitors, and game statistics. Students learn to quantify training load, assess injury risk, monitor recovery, and make data-driven decisions that balance performance maximization with athlete health. Through hands-on work and strategic use of AI for code development and analysis, the curriculum covers calculating performance metrics from GPS data (speed zones, acceleration events, player load), developing advanced indicators that capture movement complexity, and building predictive models for injury risk and performance outcomes. Students also track their own physical performance metrics throughout the semester, applying course concepts to personal data and experiencing firsthand the insights and limitations of performance monitoring systems. These skills, working with time-series sensor data, leveraging AI to accelerate analytical workflows, creating actionable dashboards, balancing competing objectives, and communicating technical findings to non-technical stakeholders, transfer directly to healthcare analytics, wearable technology development, workplace wellness programs, and human factors optimization across industries. The course culminates in a project addressing real performance questions such as injury prediction, load management optimization, or player development strategies, replicating the analytical workflows used by professional sports science teams to drive evidence-based athlete management decisions.

Prerequisites: (ITAO 30220 or ITAO 34220 or ITAO 34221) and (ITAO 30230 or ITAO 34230 or ITAO 34231 or ITAO 34232) and ITAO 40250

Enrollment is limited to students with a program in Business Analytics.

ITAO 40540 Survey of Software Engineering with Python (1.5 Credit Hours)

In this course, students will learn how to deploy machine learning models for other people to use. Students will be introduced to several different frameworks for putting models into production and visualizing relationships, all while becoming more familiar with Python, Visual Studio (VS) code, and GitHub. This class will also cover issues related to defensive programming and how to handle errors.

Prerequisites: ITAO 40230

ITAO 40550 Networks, Data, and Computational Methods (1.5 Credit Hours)

Nothing operates in isolation. People are connected to their friends, family, and neighbors. Organizations rely on their supply chains, and knowledge of their competitors, to make business decisions. Information systems link users and data to inform operational processes. The interconnected nature of these entities means their outcomes depend on the type and structure of their ties. These patterns of connections between actors lead to complex networks that influence behavior, decision-making, and results. This course focuses on the application of network methods to interpret complex systems. Students will learn the fundamentals of network science theory, as well as the core analytical techniques for analyzing network data. Topics covered include: data creation and cleaning, visualization, centrality, community detection, and computational methods. By the end of this course students will be able to construct and analyze networks, and use what they’ve learned to understand organizations, communities, and themselves.

Prerequisites: ITAO 30220 or ITAO 34220 or ITAO 34221

ITAO 40560 Data Engineering (1.5 Credit Hours)

Traditional computer workstations and servers were sufficient for performing data storage and analysis until the emergence of the internet and the exponential growth in data it facilitated. This is when companies were forced to rethink how storage and computation existed together. This dilemma gave birth to a plethora of technologies that would change the landscape of how we store, manipulate and analyze data today. In this course we will explore the evolution of these technologies. In addition, we will investigate how these technologies reshaped industries and created a space for data science to flourish at scale. We will cover the benefits and limitations of technologies like MapReduce, HPC, the Apache ecosystem, and a variety of databases. Minimal programming will be required for this course.

ITAO 40570 AI & Machine Learning for Urban Analytics (3 Credit Hours)

Urban regions will experience most future population growth, bringing opportunities and challenges. At the same time, advances in technology are transforming what is possible in data-driven decision-making and long-term planning in complex urban systems. This course introduces modern urban analytics through an AI/ML lens, emphasizing statistical reasoning, interpretability, and real-world urban case studies. We begin with data science essentials starting from data acquisition, exploratory data analysis (EDA), and visualization along with tools for reproducible reports. We then develop core modeling skills, progressing from classical statistical and machine learning methods to fundamental concepts in deep learning and generative AI. We will cover contemporary approaches for large-scale and complex urban data, including spatial, network, and unstructured data commonly encountered in urban studies. By the end of the semester, students will master popular methodologies, and gain hands-on skills in turning urban data into actionable insights.

ITAO 40575 Pricing Analytics (3 Credit Hours)

This course will teach you how marketing managers make decisions about pricing and distribution, using data. We begin with understanding pricing and promoting to an individual customer, and use this foundation as we move to more aggregate decisions, such as setting regular and promoted prices at the product level and managing category pricing. A key part of the class is understanding the limitations of different types of data and how better planning can both simplify the analysis and increase your confidence in the findings. This class is designed to be very practical and hands-on. A working knowledge of statistics (e.g., t-test and regression analysis) is required and you will learn R for the analysis.

ITAO 40630 Sociotechnical Studies of Data Science (3 Credit Hours)

This course provides an introduction to the emergent field of social studies of data-intensive analytics for the examination of how "things are done with data." The goal is to cover a wide range of examples and practical applications to introduce questions of design and implementation, privacy and surveillance, as well as governance and stewardship of digital tools and infrastructures. Following the performative aspect of data, we will explore social, technical, political, and economic dynamics that involve data extraction, sharing, literacy, and analysis. From little to big data practices, we will examine at the interface level the professional and institutional applications, development histories, and current political economy of data to situate ourselves as engaged technologists and researchers, not detached critics or passive users. There are no prerequisites for this course: no previous experience in statistics or programming is needed, but independent study of the supplementary materials we provide is highly encouraged.

ITAO 40730 Cloud Computing (3 Credit Hours)

Cloud computing is a transformative force in the development of technology solutions that meet business requirements. Firms no longer need to make significant capital investments in large-scale data centers that sit idle for extended periods of time. The cloud model offers flexible, scalable, and cost-efficient access to computing resources on a just-in-time basis. In this course, we will explore the applications of cloud computing to common business problems. We will explore full-stack cloud solutions, including the use of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) technologies.

ITAO 40850 Analytics Capstone Project (3 Credit Hours)

This course is the culmination of students' undergraduate business analytics studies and provides an intensive, integrative experience. Students work in teams with an industry partner on a real-world analytics problem. Using skills acquired throughout their analytics studies, students develop a thorough understanding of the problem and the associated data, then develop and execute a project work plan that analyzes the data, develops actionable recommendations and conclusions, and provides insight into the basis for those recommendations. Skills developed include effective communication regarding the analytics process and results, and an understanding of key aspects of analytics solution development.

Students cannot enroll who have a program in Business Analytics.

ITAO 40860 Early Bridges to Data Science (3 Credit Hours)

Advances in data science, analytics, and artificial intelligence are reshaping society, the economy, and everyday decision making. Developing data literacy and a foundational understanding of how data and AI influence the world has become essential for informed citizenship and future careers. This course focuses on building early data science awareness and enthusiasm among middle school students, with particular attention to historically underrepresented or under-resourced communities. This community-engaged service course provides undergraduate students with the opportunity to Grow the Good in Business by applying data science and analytics for positive social impact. Students work in small teams as mentors in local middle school science classrooms, where they build relationships with youth partners, assess their existing understanding of data and technology, and guide them through introductory lessons on data acquisition, exploration, visualization, and interpretation. Students support youth partners in developing a data-informed project that culminates in a clear and compelling data story. To ground this experiential learning, the course includes lectures, readings, and in-class activities centered on the question: How do we make a good story out of data? Students explore principles of data storytelling, ethical and responsible data use, and effective communication of insights while developing leadership, communication, and project management skills.

Prerequisites: ITAO 30220 or ITAO 34220 or ITAO 34221

Enrollment is limited to students with a program in Business Analytics.

ITAO 40865 Early Bridges to Data Science Consultation (0 Credit Hours)

Faculty consultation for students in Early Bridges to Data Science. This 0-credit class is required to be taken alongside ITAO 40860 Early Bridges to Data Science. Early Bridges faculty consultants will provide assistance to the students in their field work.

ITAO 44420 Machine Learning (2 Credit Hours)

Machine learning is the science of getting technology systems to act without following prescriptive software. Most AI is unknowingly used daily by humans in their cars, homes, companies and experience it in the infrastructure of our nation. Most think we are in the midst of a new industrial revolution that is driven by AI software accompanied by sensors and big data that feed the software what it needs to act. This course will teach machine learning techniques and the application of those techniques. The course will cover supervised learning, unsupervised learning, best practices and AI safety or the ethics of AI. The course will examine real life examples such as robotic control, text understanding, medical informatics, and many other areas being impacted by machine learning.

Corequisites: ITAO 34220

ITAO 44430 Customer Engagement Analytics (1.5-3 Credit Hours)

This module will familiarise the student with basic data analytics techniques as used in present and future-generation marketing. It will cover the basic statistical approaches as well as the data analytics pipeline of data acquisition, cleansing, storage, mining, actioning, and visualisation. It will include hands-on access to some aspects of this pipeline as well as the use of advanced analytics including psychometric profiling and machine learning (both supervised and unsupervised)

ITAO 44510 Professional Practice for Enterprise Computing (3 Credit Hours)

The aim of this modules is to provide the learner with an ability to communicate effectively in business settings, to prepare students for the workplace (INTRA) and to provide an appreciation for the Social, Legal, Ethical and issues associated with a professional work environment. IR - Dublin, Ireland This module explores ethical issues in the design and use of information and communication technologies (ICTs). It examines ethical theories and practices from historical, interdisciplinary and cross-cultural perspectives relating to current and emerging ICTs. We study the major ethical frameworks such as consequentialism, deontology, virtue ethics etc. We look at how they are applied to issues around privacy, security, social media interactions, access, health, game design and so on. And we also explore how the design of technological systems and structures can support ethical principles.

ITAO 44540 Survey of Software Engineering (3 Credit Hours)

The IT Architectures module is primarily focused on different architectural solutions when building a large IT System. The course is designed to incorporate about architectural styles for different application types, document and assess the strengths and weaknesses of each approach, and ultimately include insights into the state of the art and newer software architecture patterns and standards included but not limited to Service Oriented Architectures, Microservices, and Serverless Architectures.

ITAO 44550 Society and Networks (2 Credit Hours)

Social networks emerge from the interactions between human beings, between their organizations, and between human beings and their organizations. The analysis of such networks in corporate and public administration is applied in human resource development, economic planning, marketing, organizational behavior and organizational learning, decision-making, and beyond to corporate and industrial governance, industrial relations, mergers, monopolies and similar combinations, consulting services, and enterprise resource planning. Studies of social capital, competition, the diffusion of innovations, the spread of contagion, geopolitics, and even start-ups have all been significantly advanced by the employment of social network analysis.

ITAO 44780 Developing Internet Applications (3 Credit Hours)

This module covers the process of designing, creating and deploying an internet application. Students will look at the various components necessary to develop an internet application including, but not limited to: 1. The hardware/software on which the application runs; 2. The software stack necessary to build and execute the application; 3. Issues of performance and security which must be considered in the case of internet applications.

ITAO 48499 Sports Analytics Research (1 Credit Hour)

This research-focused course offers students an in-depth exploration of sports analytics through hands-on experience with real-world data. Designed for those interested in the intersection of sports, data science, and statistical communication, this course emphasizes both analytical rigor and the skill of conveying complex findings in accessible terms. Throughout the semester, students will engage in data analysis projects that mirror industry practices, leveraging statistical techniques to uncover insights into athletic performance, strategy, and decision-making. A primary objective of this course is to develop students’ abilities to interpret and translate quantitative findings for broader audiences, preparing them to effectively communicate in a field where data-driven insights inform decision-making for diverse stakeholders. This course is ideal for those aspiring to careers in sports analytics, data science, or any field that values evidence-based decision-making and clear communication of technical results.

Course may be repeated.

ITAO 48910 Undergraduate Independent Research (1-6 Credit Hours)

Research in collaboration with members of the faculty. Evaluation of performance will be accomplished through regular discussions with the faculty member in charge of the course.