To
qualify for the bachelor of science in mathematics and statistics for artificial intelligence and data science, a student must
satisfactorily complete with a grade of C or better each of the
following courses with a total of 56 credits:
Foundational Courses (29 credits)
50:640:121 Calculus I (4)
50:640:122 Calculus II (4)
50:640:221 Calculus III (4)
50:640:250 or 253 Linear Algebra or Linear Algebra with Applications (3)
50:960:183 or 185 Elementary Applied Statistics or Introduction to Data Science (3)
50:198:111 Programming Fundamentals (4)
50:198:113 Object Oriented Programming (3)
50:198:171 Mathematical Foundation of Computer Sciences (3)
50:640:199 Explore Careers in Mathematics (1)
Mid-level Required Courses (6 credits)
50:640:331 Probability and Stochastic Processes (3)
50:198:213 Data Structure (3)
Mid-level Elective Courses (3 credits: choose 1 course)
50:640:314 Elementary Differential Equations (3)
50:640:357 Introduction to Computational Mathematics (3)
Upper-level Required Courses (9 credits)
50:960:489 Statistical Models (3)
50:198:414 Artificial Intelligence (3)
50:198:454 Machine Learning (3)
Upper-level Elective Courses (9 credits: choose 3 courses)
50:640:450 Advanced Linear Algebra (3)
50:640:470 Introduction to Optimization (3)
50:640:497 Advanced Computational Mathematics (3)
50:640:499 Data Visualization (3)
50:960:481 Mathematical Statistics (3)
50:960:491 Regression and Time Series (3)
Deviations from the set program must be approved by the mathematical sciences department.
Liberal Arts Colleges 
