Master of Science in Data Science

Required Foundational Courses

CSCI 532Algorithms3
STAT 541Experimental Design3
M 508Mathematics of Machine Learning3

Curriculum for a student with a dominant interest in Computer Science:

Year 1Credits
CSCI 532 - Algorithms3
CSCI 540 - Advanced Database Systems3
CSCI 547 - Machine Learning3
M 441 - Numerical Linear Algebra & Optimization3
STAT 408 - Statistical Computing and Graphical Analysis3
Year Total: 15
Year 2Credits
CSCI 535 - Computational Topology3
CSCI 550 - Data Mining3
M 508 - Mathematics of Machine Learning3
STAT 511 - Methods of Data Analysis I3
STAT 541 - Experimental Design3
Year Total: 15
Total Program Credits: 30

Curriculum for a student with a dominant interest in Mathematics:

Year 1Credits
CSCI 532 - Algorithms3
CSCI 547 - Machine Learning3
M 441 - Numerical Linear Algebra & Optimization3
M 560 - Methods of Applied Mathematics I3
STAT 408 - Statistical Computing and Graphical Analysis3
Year Total: 15
Year 2Credits
CSCI 535 - Computational Topology3
CSCI 540 - Advanced Database Systems3
M 508 - Mathematics of Machine Learning3
STAT 511 - Methods of Data Analysis I3
STAT 541 - Experimental Design3
Year Total: 15
Total Program Credits: 30

Curriculum for a student with a dominant interest in Statistics:

Year 1Credits
CSCI 532 - Algorithms3
M 441 - Numerical Linear Algebra & Optimization3
STAT 408 - Statistical Computing and Graphical Analysis3
STAT 511 - Methods of Data Analysis I3
STAT 512 - Methods of Data Analysis II3
Year Total: 15
Year 2Credits
CSCI 547 - Machine Learning3
M 508 - Mathematics of Machine Learning3
STAT 536 - Time Series Analysis3
STAT 537 - Multivariate Analysis I3
STAT 541 - Experimental Design3
Year Total: 15
Total Program Credits: 30