Data Analytics Major (B.S.)
The Data Analytics major prepares students to harness data for strategic decision-making in modern organizations. Students learn to apply analytical techniques to real-world business challenges, integrating skills in data management, statistical analysis, and predictive modeling with core business knowledge in areas such as finance, marketing, operations, and management. The major emphasizes the use of data to improve performance, identify opportunities, and guide strategic planning. As businesses increasingly rely on data to drive innovation and efficiency, data analytics has become a vital and rapidly evolving field. This interdisciplinary program combines quantitative rigor with practical business insight, equipping graduates with the tools to lead data-informed initiatives across a wide range of industries.
The major also provides a pathway for students pursuing the 3+1 program for the Master of Science in Data Analytics degree (MSDA). Students planning to enroll in the 3+1 program must take the graduate-level course options during their senior year, after acceptance into the program. Please work closely with your 3+1 advisor.
(Please note that the 3+1 program for the MSDA will not be offered until the 2027-28 academic year. The graduate-level courses are listed below strictly for planning and advising purposes.)
Major Requirements
69-74 credits
Mathematics and Computer Science Core (20 credits)
Complete the following to prepare for upper-level mathematics and computer science courses.
| CSCI-1040 | Computer Science I: Intro to Comp Sci | 4 credits |
| CSCI-2025 | Data Manipulation and Visualization | 4 credits |
| MATH-1075 | Single Variable Calculus | 4 credits |
| MATH-2025 | Multiple Regression Analysis | 4 credits |
| MATH-2080 | Introduction to Proofs and Discrete Math | 4 credits |
Students who place out of MATH-1075 Single Variable Calculus must take MATH-2075 Multivariable Calculus instead. In this event, MATH-2075 may still count toward the Advanced Electives category.
Business Core (14 credits)
Complete the following to prepare for upper-level business courses.
Data Analytics Core (14 credits)
Complete the following data analysis core curriculum track. The 5000-level options are open only to students admitted into the 3+1 program for the MSDA degree.
Students planning to complete the 3+1 program for the Master of Science in Data Analytics must complete the 5000-level options above during their senior year. These students should consult with their advisor before registering.
Decision Sciences (4 credits)
Complete at least one of the following courses. Students intending to complete the 3+1 for the MSDA should consult with their advisor before registering.
| BUSN-3000 | Management Science | 4 credits |
-
| or | |
| DATA-5000 | Management Science | 4 credits |
-
| | |
| BUSN-4050 | Princ of Productions & Operations Mngmnt | 4 credits |
Students enrolled in the 3+1 program must take the 5000-level options above during their senior year.
Advanced Electives (16 credits)
Complete at least four courses (16 credits) from the courses listed below. At least one of these courses must have a BUSN, FINC, or MKTG prefix and at least one must have a MATH or CSCI prefix and be at the 3000-level or higher.
| BUSN-3250 | Cybersecurity for Business | 4 credits |
| CSCI-2040 | Computer Science II: Data Structures | 4 credits |
| CSCI-3040 | Design and Analysis of Algorithms | 4 credits |
| CSCI-4055 | Numerical Computation | 4 credits |
| ENVS-3051 | Intro to Geographic Info System (GIS) | 4 credits |
| FINC-3030 | Principles of Finance | 4 credits |
| FINC-4032 | Investment Theory and Practice | 4 credits |
| MATH-2075 | Multivariable Calculus | 4 credits |
| MATH-3025 | Probability and Mathematical Statistics | 4 credits |
| MATH-3050 | Differential Equations | 4 credits |
| MATH-3060 | Linear Algebra | 4 credits |
| MATH-4025 | Statistical Machine Learning | 4 credits |
| MATH-4050 | Real Analysis | 4 credits |
| MATH-4TD9 | Special Topics in Data Analytics | 1-4 credits |
The Special Topics course above is distinct from MATH and CSCI Special Topics courses.
Capstone (1-4 credits)
Complete at least one of the following courses. Students intending to complete the 3+1 Data Analytics Master’s program should take DATA-6990 or consult with their advisor for further guidance.
| BUSN-4990 | Business & Accnting Capstone: Sr Seminar | 4 credits |
| MATH-4990 | Math-Physics-CS Capstone | 1 credit |