Curriculum in Predictive Analytics

The program in predictive analytics is designed to be completed in approximately 11 months of full-time study beginning June 2018 (for AY 2018/19) and consisting of 6 credits in the summer, 13 credits in the fall and 11 credits in the spring, for a total of 30 credits.

Sample courses of study, targeted to particular industries, are given below. Course descriptions can be found HERE.


Summer Semester 
(begins June 2018 for AY 2018/19)
Course Credits
Select Two 3-credit courses from the list below:
ACMS courses in Probability, Statistics or  
     Numerical Analysis
ESTM Accounting or Finance courses

Predictive Analytics

Fall Semester Spring Semester
Course Credits Course Credits
Applied Linear Models 3 Applied General Linear Models 3
Stat Methods in Pattern Recognition and Prediction 3 Time Series 3
Computing with Data 1 Advanced Computing with Data 2
Applied Probability 3 Elective 3
ACMS Elective 3    

















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