Data Science Program (BS)

A. Programming Foundations (8 credits)

• One from:

• CSC 175 - Problem Solving and Programming I (4)
• CSC 176 - Problem Solving and Programming I in Java (4)
• CSC 179 - Problem Solving and Programming I in Python (4)

•  

• One from:

• CSC 275 - Problem Solving and Programming II (4)
• CSC 276 - Problem Solving and Programming II in Java (4)
• CSC 279 - Problem Solving and Programming II in Python (4)

B. Core Courses (39-40 credits)

• CIS 314 - Computer Ethics (4)
• CSC 375 - Data Structures (4)
• CSC 384 - Database Design (4)
• CSC 430 - Information Storage and Retrieval (4)
• CSC 446 - Artificial Intelligence (4)
• DSC 402 - Data Visualization for Exploratory Data Analysis (4)
• DSC 411 - Advanced Data Mining Algorithms and Applications (4)

•  

• One from:

• MTH 272 - Introduction to Statistics (4)
• MTH 372 - Probability (4)

•  

• One from:

• MTH 275 - Introduction to Probability (4)
• MTH 375 - Mathematical Statistics (3)

•  

• MTH 306 - Introduction to Data Science (4)

C. Mathematics (8 credits)

• MTH 121 - Calculus I (4)
• MTH 122 - Calculus II (4)

D. Track of Choice (16 credits)

One of the following tracks:

E. Internship (3 credits)

• CIT 401 - Technology Internship (1-4) , elected for 3 credits

F. Capstone Experience (8 credits)

• CIT 480 - Technology Capstone I (4)
• CIT 485 - Technology Capstone II (4)

G. Additional Requirements

All requirements of the College of Innovation and Technology Bachelor of Science degree , including General Education Program  requirements and University of Michigan-Flint graduation requirements .