Data Science, B.S. (67 hours *)

Data Core (24 hours, plus internship)

All Data majors must complete the following courses.

• DS 1123 - The Power of Data in the Modern World (3)
• DS 2063 - Modern Computing Applications for Analytics (3)

• Note: DS 2503 - Intro to Analytics is an approved substitute for DS 2063 as needed.

• DS 3213 - Principles of Data Science (3) F
• DS 3123 - Information Ethics and Policy (3) F
• DS 3223 - Information Structures (3) SP
• DS 3323 - Principles of Statistical Analysis and Decision Modeling (3)
• DS 4223 - Data Mining and Analysis (3) SP
• DS 4403 - Practical Applications in Data (3) (SP)
• BA 390V - Internship in Business (0-10) F, SP, SU

Programming Sequence - Choose One (9 hours)

Select one programming sequence from the listing below for a total of 9 hours.  Students who have not had instruction and/or experience in Python should select the Python-based pathway.  All upper-level DS courses taught with Python, and thus familiarity with that language is essential.  Students with prior experience in Python may elect the advanced C++-based programming sequence if desired to gain additional knowledge for working in high performance algorithms and other advanced use cases.   

Other Required Courses

• MA 1314 - Calculus I (4) F, SP, SU
• MA 2314 - Calculus II (4) F, SP, SU
• MA 2903 - Logic, Proof, and Mathematical Modeling (3) SP
• MA 3123 - Mathematical Theory of Statistics (3) F
• MA 3213 - Linear Algebra (3) SP
• AC 2503 - Financial Accounting (3) F, SP, SU
• EC 2403 - Principles of Macroeconomics (3) F, SP, SU
• CS 2243 - Database Management Systems (3) F
• IT 2223 - Web Application Development I (3) F, SP
• IT 2233 - User Interface Design (3) SP
• IT 3313 - Network Principles (3) F, SP
• IT 3413 - Systems Analysis and Design (3) F
• SEC 3113 - Fundamentals of Information Security (3) F, SP