Major in Data Science (B.S.)
Data Science is a uniquely multidisciplinary field, integrating concepts and methodologies from mathematics, computer science, business and a wide range of applied domains.
The Data Science major gives students the opportunity to learn the mathematical theories and statistical foundations that power data analysis, while also gaining experience with software, programming languages and tools currently used by data scientists. This coupling of theory and practice equips graduates with the technical and critical thinking skills needed to succeed in data-driven careers.
Major Requirements
The data science major consists of twelve required courses and two electives. Some elective options may require additional prerequisites.
Complete the following required courses
- MTH 251 Calculus III
- MTH 301 Discrete Mathematics
- MTH 346 Statistics for Scientists
- MTH 348/ECO 418 Advanced Statistics/Econometrics
- MTH 362 Linear Algebra
- MTH 421 Probability Theory
- MTH 400 Research Methods (0.5)
- MTH 451 Senior Paper(0.5)
- CS 150 Programming in Python or CS 220 Computer Science I
- IS 380 Foundations of Data Science with Python
- IS 423 Database Management Systems
- BUS 320 Survey of Business Analytics
Complete one elective from the following courses
- MTH 311 Mathematical Modeling
- MTH 341 Differential Equations
Complete one elective from the following courses
Courses that require additional prerequisites are noted with an *.
- MTH 311 Mathematical Modeling or MTH 341 Differential Equations
- MTH 342 Applied Analysis* (prereq: MTH 341)
- MTH 351 Mathematics of Finance
- MTH 422 Mathematical Statistics
- CS/MTH 302 Discrete Mathematics II: Structures and Algorithms
- CS 310 Computer Organization and Programming in Assembly* (prereq: CS 220)
- PHY 407 Data Science and Mathematical Methods for Physics* (PHY 121 and PHY 122)
- BIO 410 Bioinformatics* (BIO 200, BIO 201, BIO 315)