Bachelor of Science - Data Science

Required: 52 credits minimum, (30-32 credits upper division); 80required supporting = 60 total credits

Required Courses

• DATA 215: Introduction to Data Science

• DATA 315: Data Wrangling

• DATA 340: Mathematics for Machine Learning

• DATA 350: Technology, Ethics and Applications

• DATA 440: Machine Learning

• CSC 225: Advance Computer Programing With Python

• MATH 231: Statistics for the Sciences

• MATH 241: Discrete Mathematics

• DATA 480: Data Capstone

16 Elective Credits from

• DATA 360: Advanced Visualization

• DATA 450: Machine Learning in Practice

• CSC 210: Introduction to Computer Programming

• CSC 220: Advanced Computer Programming

• CSC 310: Algorithms

• CSC 322: Introduction to Robotics

• CSC 331: Systems Analysis

• CSC 335: Software Engineering

• CSC 340: Operating Systems

• CSC 360: Computer System Security

• CSC 410: Database Management Systems

• MATH 252: Calculus II

• MATH 261: Calculus III

• MATH 331: Data Analysis With R

• MATH 341: Graph Theory/Combinatorics

• MATH 343: Linear Algebra

• MATH 352: Probability and Statistics I

• BUS 256: Business Analytics I

• BUS 301: Communication for Managers

• BUS 342: Marketing Research/Consumer Behavior

• BUS 356: Business Analytics II

• BUS 381: Info Systems & Organization Design

• COMM 306: Business and Professional Communication

• ECON 311: Statistical Methods

• ECON 312: Quantitative Analysis in Business

• ECON 450: Econometrics

• PHIL 350: Technology and Value

• POLS 421: The Politics of Data

• SPMG 411: Sport Analytics and Research Methods

Required Supporting Courses

• CSC 110: Concepts of Programming

• MATH 245: Applied Calculus or MATH 251:Calculus I