Master of Science in Analytics Dual Degree Programs

We are accepting applications for two new dual degrees:

To apply for a dual degree, select “Joint Degree Programs” in the online application. Then select the dual degree you wish to pursue.

Email us if you have questions 
First of their kind
Robinson is the first major research business school in North America to formally combine degree programs in data science and actuarial science (MSA/MAS), and data science and financial engineering (MSA/MRM).
Only one more semester
Although each individual degree is a three-semester program, by extending the program of study by only one semester, graduates of the dual degree programs can significantly differentiate themselves from their competition in the labor market by anticipating the rapidly emerging needs of financial services employers including insurers, banks, asset managers, and hedge funds.
Easily broaden your portfolio of knowledge
Because the course work is coordinated, students in any of the three individual degrees can seamlessly acquire expertise across multiple programs even if they do not fully commit to earn the second degree: data science students can gain depth in actuarial science or financial engineering; and students whose primary interests are in actuarial science or financial engineering can easily acquire data science skills.

Master of Science in Analytics/Master of Actuarial Science

Tuition

In-state students
To be posted soon.
Out-of-state students
To be posted soon.

Course Sequence

Early start date: August
  • MRM 8000 – Introduction to Analytical Programming and Numerical Methods (2 hours)
Fall 1
  • MSA 8010 – Data Programming for Analytics (3 hours)
  • CIS 8040 – Fundamentals of Database Management Systems (3 hours)
  • FI 8000 – Valuation of Financial Assets (3 hours)
  • MRM 8600 – Theory of Risk Sharing (3 hours)
Spring 1
  • MSA 8050 – Unstructured Data Management (3 hours)
  • MSA 8150 – Machine Learning for Analytics (3 hours)
  • MSA 8200 – Econometric Modeling for Analytics (3 hours)
  • MRM 8610 – Financial Engineering (3 hours)
Summer 2
  • Internship
Fall 2
  • AS 8340 – Life Contingencies (3 hours)
  • MSA 8100 – Operations Research Models and Methods (3 hours)
  • Elective (3 hours)
  • Elective (3 hours)
Spring 2
  • MRM 8320 – Stochastic Risk Management Models (3 hours)
  • AS 8350 – Insurance Mathematics (3 hours)
  • AS 8810 – Actuarial Science Graduate Seminar (3 hours)
  • Elective (3 hours)

Master of Science in Analytics/Master of Science in Mathematical Risk Management

Tuition

In-state students
To be posted soon.
Out-of-state students
To be posted soon.

Course Sequence

Early start date: August
  • MRM 8000 – Introduction to Analytical Programming and Numerical Methods (2 hours)
Fall 1
  • MSA 8010 – Data Programming for Analytics (3 hours)
  • CIS 8040 – Fundamentals of Database Management Systems (3 hours)
  • FI 8000 – Valuation of Financial Assets (3 hours)
  • MRM 8600 – Theory of Risk Sharing (3 hours)
Spring 1
  • MSA 8050 – Unstructured Data Management (3 hours)
  • MSA 8150 – Machine Learning for Analytics (3 hours)
  • MSA 8200 – Econometric Modeling for Analytics (3 hours)
  • MRM 8610 – Financial Engineering (3 hours)
Summer 2
  • Internship
Fall 2
  • MRM 8630 – Stochastic Interest Rate and Credit Models (3 hours)
  • MRM 8640 – Advanced Credit Risk Models (3 hours)
  • ECON 8780 – Financial Econometrics (3 hours)
  • MSA 8100 – Operations Research Models and Methods (3 hours)
Spring 2
  • RMI 8370 – Financial Risk Management (3 hours)
  • MRM 8320 – Stochastic Risk Management Models (3 hours)
  • MSA 8300 – Value Through Analytics: Model Deployment and Life Cycle Mgmt (3 hours)
  • Elective (3 hours)