The information and requirements found below apply to the current academic catalog. For other catalog years, please consult the archive.
Data Science Major / Stats and Data Science Major
UNDER CONSTRUCTION
The Department of Mathematics offers a Bachelor of Arts (B.A.) in Statistics & Data Science (SDS), and a Bachelor of Science (B.S.) in Data Science (DS).
The Data Science B.S. offers 4 emphases. With a focus on the capture, maintenance, processing, analysis, and communication of data, these degrees have many common requirements. There are some differences, however. Both programs allow students to pursue graduate degrees or careers in analytics, risk assessment, finance, and other math and science related fields.
For information on selecting the appropriate program and courses to prepare for various types of graduate programs, please speak with your advisor as soon as possible.
Please be sure to read through all applicable degree policies before declaring a major.
Degree Requirements
Bachelor of Arts in Statistics and Data Science
A Bachelor of Arts is not science-intensive. A Bachelor of Arts in Statistics and Data Science will have a strong foundation in mathematics with flexible options across probability, statistics, data science and computer programming. Students pursuing a B.A. in SDS typically take a more broad range of elective outside of the core degree curriculum.
A minor in any subject outside the math department is required with this major.
For a more detailed layout of requirements or a list of changes to the degree requirements from year to year, please see the requirements knowledgebase.
Bachelor of Science in Statistics and Data Science
A Bachelor of Science in Statistics and Data Science is for students looking for a fully immersive, science-intensive experience in courses in probability, statistics, data science and computer programming. With a solid foundation in mathematics, this degree program is less flexible than the B.A. in terms of elective options.
For a more detailed layout of requirements or a list of changes to the degree requirements from year to year, please see the requirements knowledgebase.
Core Courses
The following courses are required for both the B.A. and B.S. programs.
Stats & Data Science B.A. | Data Science B.S. |
MATH 122A AND MATH 122B or MATH 125 — Calculus I MATH 313— Introduction to Linear Algebra DATA 363— Introduction to Statistical Methods DATA 375— Introduction to Statistical Computing MATH 464— Theory of Probability MATH 466— Theory of Statistics DATA 467 — Applied Linear Models DATA 498A — Capstone for Statistics and Data Science ONE upper-division statistics major elective. ↓ |
Upper-Division Major Elective Courses and Emphases
DATA 201 — Foundations of Data Science
DATA 367 — Statistical Methods in Sports Analytics
DATA 396T — Topics in Undergraduate Statistics & Data Science
DATA 412 — Linear Algebra for Data Science
DATA 468 — Applied Stochastic Processes
DATA 474 — Statistical Machine Learning
DATA 496T — Advanced Topics in Undergraduate Statistics & Data Science
Emphasis Options
Molecular and Cellular Biology
The emphasis in Molecular and Cellular Biology is intended for students who are interested in applying data science methods to biology.
Computing
The emphasis in Computing is intended for students who want to learn more about the computational side of data science.
Comprehensive Statistics
The emphasis in Comprehensive Statistics is intended for students planning to attend graduate school in statistics or statistics & data science.
Applied Statistics
The emphasis in Applied Statistics is intended primarily for students wanting a more statistical-focused data science major in preparation for entering the workforce after graduation. This emphasis may also be appropriate preparation for graduate study in fields that rely heavily on statistics and data science.
