Data Science
The Data Science Major is offered in conjunction with the Department of Mathematics and contains 30 hours of math and computer science foundational courses along with 12 hours of a concentration to serve as a field of application. Key areas of focus include: computational and statistical thinking, mathematical foundations, model building and assessment, algorithms and software foundation, data curation, and knowledge transfer.
The Data Science Major offers seven concentrations in the major:
- General Concentration (Computer Science and Math)
- Accounting Concentration
- Biology Concentration
- Economics Concentration
- Finance Concentration
- Psychology Concentration
- Sociology Concentration
Data Science Major
Foundation Courses
- Programming in Python
- Statistics
- Matrix Algebra
- Calculus and Analytic Geometry I
- Data Analytics
- Statistical Methods
- Data Visualizations
- AI and Machine Learning
- Data Security and Privacy
Choose a Concentration
General Concentration Courses
12 hours of MAT/CSC electives with a minimum of 9 hours of UL electives.
Accounting Concentration Courses
- Principles of Accounting I
- Principles of Accounting II
- Accounting Information Systems
Biology Concentration Courses
- Experimental Design & Biostatistics
- Environmental GIS
- Special Studies in Cell and Molecular Biology
Economics Concentration Courses
- Principles of Macroeconomics
- Principles of Microeconomics
- Intermediate Macroeconomics
- Intermediate Microeconomics
- International Economics
Finance Concentration Courses
- Principles of Accounting I
- Principles of Macroeconomics
- Business Financial Management I
- Corporate Finance
- Investment Analysis
- Financial Markets and Institutions
Psychology Concentration Courses
- Statistics for the Psychological Sciences
- Abnormal Psychology
- Research Design and Methodology for the Psychological Sciences
- Behavioral and Cognitive Theories of Learning
- Psychological Measurement and Assessment
- Introduction to Counseling
Sociology Concentration Courses
- Principles of Sociology
- Social Research I
- Social Research II
Minor in Data Science
- Intro to Computer Science
- Discrete Mathematics
- Programming in Python
- Statistics
- Matrix Algebra
- Calculus and Analytic Geometry I
- Data Analytics
- Data Visualizations
- AI and Machine Learning