Program Objectives

Upon successful completion of this program, the graduate will:

1. be able to apply data science and statistical techniques to real-world problems and interpret the results;
2. be able to produce high-quality visualizations; and
3. be able to communicate data science and statistical results to a diverse audience.

 

Program Requirements

CIP Code: 27.0501

Major

Only courses completed with a grade of at least a “C” will count toward the major requirements.

Course List

Code	Title	Hours
University Graduation Requirements
General Education		36
Foundations of Learning
GSD 101	Foundations of Learning	3
Upper division courses (42 hours distributed throughout Major/Supporting/Gen Ed/Free Electives categories)
Major Requirements
Core Courses
CSC 174	Introduction to Programming for Science & Engineering	3
or CSC 190	Object- Oriented Programming I
ENG 300	Introduction to Technical and Professional Writing	3
MAT 239	Linear Algebra and Matrices	3
MAT 244	Calculus II	4
STA 270	Applied Statistics	4
STA 340	Applied Regression Analysis	3
STA 498	Data Science & Statistics Capstone	3
DSC 580	R and Introductory Data Mining	3
or STA 580	R and Introductory Data Mining
STA 575	Statistical Methods Using SAS	3
Choose from three hours of the following: 3		3
DSC 390	Sports Analytics
STA 375	Sampling Methods
STA 380	Nonparametric Statistics
STA 470	Applied Probability
STA 520	Mathematical Statistics I 1
STA 521	Mathematical Statistics II 1
STA 570	Quality Control & Reliability
STA 585	Experimental Design
Choose from three hours of CSC, DSC, MAT, STA courses numbered 300 or above 3		3
Major Electives
Choose from one of the following combinations: 4		6
Data Science:
CSC 210	Data Structures and Programming
CSC 581	Machine Learning
Discrete Mathematics:
MAT 306	Discrete Mathematics
STA 470	Applied Probability
Statistics (recommended for students who want to attend graduate school):
STA 521	Mathematical Statistics II 1
STA 585	Experimental Design
Choose two courses from one of the following categories:		6-8
Accounting:
BUS 209	Fundamentals of Financial and Managerial Accounting
or ACC 200	Survey of Accounting
ACC 350	Accounting Information System Risk and Security
Agriculture:
AGR 374	Genetics of Livestock Improvement
AGR 501	Independent Study in Agriculture:___
or AGR 509	Agriculture Research Methods and Interpretation
Anthropology and Sociology:
ANT 371	Primate Ecology & Sociality
SOC 232	Social Statistics
SOC 310	Population and Society
SOC 395	Research Methods in Sociology
Biology and Environmental Health Sciences:
EHS 280 & EHS 370	One Health: Global Environmental Public Health and Environmental Disease Detectives: Epidemiology
BIO 315 & BIO 533	Genetics and Bioinformatics: Principles and Applications 1
BIO 316 & BIO 532	Ecology and Conservation Biology 1
Management Information Systems:
MIS 335	Database Management
MIS 430	Business Data Mining
or BUS 304	Essentials of MIS
Computer Science and Informatics:
CSC 310	Data Structures 1
CSC 313	Database Systems 1
INF 314	MS Office & Data Analysis 1
Finance:
FIN 201	Personal Money Management
FIN 304	Financial Institutions
or FIN 311	Personal Financial Planning
or FIN 324	Principles of Investments
Global Supply Chain Management:
BUS 306	Essentials of Supply Chain Management
MGT 442	Supply Chain Planning
or MGT 444	Strategic Sourcing
Government:
POL 280	Research and Writing in Political Science 1
POL 400	Capstone Course in Political Science
POL 440	Public Opinion & Voting Behavior
Geosciences:
GEO 351	Geoscience Data and Techniques 1
GEO 353	Geographic Information Systems
GEO 453	Advanced GIS
GEO 456	Remote Sensing
GEO 458	Advanced Geographic Imagery
Marketing:
MKT 301	Principles of Marketing (NB)
MKT 455	Marketing Research and Analysis
or MKT 457	Experimental Design for Marketing
Physics:
PHY 315	Electrical Circuits 1
PHY 406	Advanced Physics Laboratory 1
PHY 460	Classical Mechanics 1
Psychology:
PSY 240	Scientific Literacy in Psychology 1
PSY 315	Sensation and Perception
PSY 340	Research Literacy in Psychology
PSY 590	Tests and Measurements
Risk Management and Insurance:
RMI 370	Principles of Risk and Insurance
or RMI 374	Fundamentals of Life and Health Insurance
or RMI 376	Excess & Surplus Lines
or RMI 382	Claim Handling Principles and Practices
RMI 378	Risk Management
Advisor-Approved:
Two advisor-approved courses from a department other than the Department of Mathematics and Statistics
Supporting Course Requirements
MAT 234	Calculus I G,4	4
PHI 130	Beginning Ethics G	3
Free Electives
Choose from 31-35 hours of free electives		31-35
Total Hours		120

¹

Requires a pre-requisite course

²

Excluding: any 349 courses and MAT 303 . STA 480 Seminar in ___ will count for only approved topics.

³

Courses will not count in different categories.

⁴

Three hours count toward Element 2^G

G

Course also satisfies a General Education element. Hours are included within the 36 hours in General Education.