Online Non-Degree Certificate in Advanced Analytics


You must hold a bachelor’s degree and have the background necessary to complete graduate-level courses in advanced analytics gained through either their bachelor’s degree or work experience. 

Those interested in earning this non-degree certificate should email the ISE Grad Programs Office at Please include your prior academic experience so we can determine if this would be a good fit for you. 

Certificate Requirements

Students must complete a total of 12 credit hours with a grade of B or higher in each course.  Students must choose both

  • 8 credit hours from the Advanced Analytics Core list and
  • 4 credit hours from the Advanced Analytics Secondary list (or an additional four hours from the Core course list)

Advanced Analytics Core Courses

  • IE 434 Deep Learning: Mathematics and Applications (4 hours) 
  • IE 522* Statistical Methods in Finance (4 hours)
  • IE 525* Stochastic Calculus and Numerical Models in Finance (2-4 hours)
  • IE 529 Stats of Big Data and Clustering (4 hours)
  • IE 531 Algorithms for Data Analytics (4 hours)
  • IE 532 Analysis of Network Data (4 hours)
  • IE 533 Big Graphs and Social Networks (4 hours)
  • IE 534 Deep Learning (4 hours)

Advanced Analytics Secondary Courses

  • IE 400 Design & Analysis of Experiments (4 hours)
  • IE 410 Stochastic Processes & Applications (4 hours)
  • IE 411 Optimization of Large Systems (4 hours)
  • IE 510 Applied Nonlinear Programming (4 hours)
  • IE 511 Integer Programming (4 hours)
  • IE 514 Optimization Methods for Large-Scale, Network-Based Systems (4 hours)
  • IE 521 Convex Optimization (4 hours)
  • IE 523* Financial Computing (4 hours)
  • SE 524 Data-Based Systems Modeling

* These courses are restricted to students in the MS Financial Engineering Program

Online Course Format

  • Same rigor, assignments, projects, and exams as the on-campus courses and same course deadlines throughout the semester without being on campus.
  • Flexibility to view course lectures when time allows during the week.

Tuition Costs

To learn more about tuition and payments, visit

Course Offerings

A subset of the Advanced Analytics courses is offered online each semester – fall, spring, and summer.  To view the upcoming semester’s course offerings, visit

Questions regarding future course offerings can be directed to the College of Engineering Office of Graduate, Professional and Online Programs at

How to Register

For assistance or questions with registration, contact Frank Hoskinson at

Semester Schedule

The academic calendar is posted at This includes semester start and end dates, tuition refund deadlines for dropped courses, withdrawals, cancellations for the given semester, and much more.

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