18 Credits of Core Courses Required.
All Data Science students must take the following Core Courses:

Credit
Hours
Course
No.
Course
Title
3MAP 5196Mathematics for Data Science
3CAP 5768Introduction to Data Science
3STA 5207Applied Regression Methods
3STA 5635Machine Learning
3CAP 5771Data Mining
2PHI 5699Data Ethics
1STA 5910Professional Development Seminar

6 Credits (or more) Scientific Computing Electives Required.

Credit
Hours
Course
No.
Course
Title
3ISC 5228Monte-Carlo Methods
3ISC 5307Scientific Visualization
3ISC 5305Scientific Programming
4ISC 5315Applied Computational Science I
3ISC 5318High-Performance Computing
3ISC 5XXXCloud Computing
3ISC 5XXXComputational Probabilistic Modeling
3ISC 5XXXData Science for Health
3ISC 5XXXNeural Differential Equations

6 Credits (or more) Free Electives offered by the participating IDS degree programs:

Computer Science
Data Science Electives
Mathematics
Data Science Electives
Scientific Computing
Data Science Electives
Statistics
Data Science Electives


Example course mapping for a three-semester degree:

Fall
Year 1
Spring
Year 1
Fall
Year 2
[ Core Course ]
Mathematics for Data Science
(3 credits)
MAP 5196
[ Core Course ]
Machine Learning
(3 credits)
STA 5635
[ Elective ]
Scientific Visualization
(3 credits)
ISC 5307
[ Core Course ]
Introduction to Data Science
(3 credits)
CAP 5768
[ Core Course ]
Applied Regression Methods
(3 credits)
STA 5207
[ Elective ]
Applied Computational Science I
(4 credits)
ISC 5315
[ Core Course ]
Data Mining
(3 credits)
CAP 5771
[ Core Course ]
Data Ethics
(2 credits)
PHI 5699
[ Elective ]
Monte Carlo Methods
(3 credits)
ISC 5228
[ Core Course ]
Professional Development
(1 credit)
STA 5910
[ Elective ]
High-Performance Computing
(3 credits)
ISC 5318


Graduation

Graduation Requirements - M.S. in Data Science