Statistics (BS)

The requirements for the degree include courses that develop a strong foundation in the methods of applied mathematics and data analysis, while allowing students to also take courses in a wide variety of application areas. The specific requirements for the bachelor of science in statistics, beyond the university and college requirements are as follows.

CHEM 10171
CHEM 11171
Introduction to Chemical Principles
and Introduction to Chemical Principles Laboratory 1
4
CHEM 10172
CHEM 12172
Organic Structure and Reactivity
and Structure and Reactivity tutorial 1
3
or CHEM 10122 General Chemistry: Fundamental Principles and Biological Processes
PHYS 10310
PHYS 11310
PHYS 10320
PHYS 11320
Engineering Physics I: Mechanics
and Engineering Physics I Laboratory
and Engineering Physics II: Electromagnetism
and Engineering Physics II Lab 1
8
Select one of the following sequences:8
Applied Calculus I 
and Applied Calculus II
Calculus I
and Calculus II
ACMS 20550
ACMS 20750
Introduction to Applied Mathematics Methods I
and Introduction to Applied Mathematical Methods II
7
ACMS 20210Scientific Computing3.5
or ACMS 20220 Scientific Computing with Python
ACMS 20620Applied Linear Algebra3
ACMS 30530Introduction to Probability3
ACMS 30600Statistical Methods & Data Analysis I3.5
ACMS 30550Mathematical Statistics3
ACMS Statistics Electives (chosen from a list of approved courses)9
Design of Experiments
Time Series Analysis
Advanced Biostatistical Methods
Spatio-Temporal Statistics for Environmental Applications
Machine Learning
Computational Statistics
Topics in Statistics
Any graduate ACMS course in statistics or probability
MATH/ACMS (numbered 30000 or above) 23
Science elective3
Total Hours61
1

Equivalent or higher sequences in science may be substituted, e.g., Honors Mathematics I (MATH 10850), Honors Mathematics II (MATH 10860) for Calculus I (MATH 10550), Calculus II (MATH 10560).

2

Introduction to Mathematical Reasoning (MATH 20630) is also an acceptable elective.

These requirements total 43 credits in ACMS and MATH and 61 credits in Science.

Statistics Sample Curriculum

Plan of Study Grid
First Year
First SemesterHours
ACMS 10550 Applied Calculus I  4
CHEM 10171
CHEM 11171
Introduction to Chemical Principles
and Introduction to Chemical Principles Laboratory
4
PHYS 10310 Engineering Physics I: Mechanics 4
University Requirement 1 3
University Requirement 1 3
FYS 10101 Moreau First-Year Seminar 1
 Hours19
Second Semester
ACMS 10560 Applied Calculus II 4
CHEM 10172
CHEM 11172
Organic Structure and Reactivity
or General Chemistry: Fundamental Principles and Biological Processes
4
PHYS 10320 Engineering Physics II: Electromagnetism 4
University Requirement 1 3
University Requirement 1 3
 Hours18
Sophomore Year
First Semester
ACMS 20550 Introduction to Applied Mathematics Methods I 3.5
ACMS 20620 Applied Linear Algebra 3
Language 3
University Requirement 3
Elective 3
 Hours15.5
Second Semester
ACMS 20750 Introduction to Applied Mathematical Methods II 3.5
ACMS 20210
Scientific Computing
or Scientific Computing with Python
3.5
ACMS 30530 Introduction to Probability 3
Language 3
University Requirement 3
Elective 3
 Hours19
Junior Year
First Semester
ACMS 30600 Statistical Methods & Data Analysis I 3.5
ACMS/MATH Elective 3
Language 3
University Requirement 3
Elective 3
 Hours15.5
Second Semester
ACMS 30550 Mathematical Statistics 3
ACMS Statistics Elective 3
University Requirement 3
Science Elective 3
Elective 3
 Hours15
Senior Year
First Semester
ACMS Statistics Elective 3
Science Elective 3
Elective 9
 Hours15
Second Semester
ACMS Statistics Elective 3
Electives 9
Moreau Senior Capstone 1
 Hours13
 Total Hours130
1

A student should take three core requirement courses during the first year, including one course that is designated a University Seminar. It is recommended that one course in history or social sciences be taken in the first year and one philosophy and one theology be taken by the end of sophomore year.