Data Science Program (BS)

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Prerequisites (14 credits)

CIT 100 - Technology Foundations (4)
CSC 122 - Introduction to Programming (3)
CSC 137 - Fundamentals of Unix/Linux Systems (3)
CYB 101 - Security Fundamentals I (4) , elected for 4 credits

Requirements (120 credits)

D. Track of Choice (16 credits)

One of the following tracks:

Quantitative

MTH 222 - Multivariate Calculus (4)
MTH 301 - Introduction to Mathematical Modeling (4)
Two from:
MTH 329 - Advanced Linear Algebra (4)
MTH 362 - Combinatorics, Data and Graphs (4)
MTH 377 - Methods of Operations Research (4)

Computational

CYB 440 - Data Science for Cybersecurity (4)
DSC 425 - Big Data Analytics (4)
DSC 428 - Deep Learning (4)
Four additional credits in CIS, CIT, CSC, CYB, DSC, ITI, and/or SWE courses at the 300 level or above, or PHY 304.

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 .

Honors Program

All bachelor-degree-seeking students with GPAs of 3.5 or higher are eligible to apply to the University of Michigan-Flint Honors Program . Please contact the Honors Program Manager or the Honors Program Director for further information.