Dual Degree Programs
By completing just one more semester of coursework, you can earn a dual degree in either big data analytics or quantitative risk analysis. Developing additional skills will make you especially attractive to employers, and enable you to tap into more than one job market.
Master of Science in Analytics/Master of Actuarial Science
- First of its kind
- Robinson is the first major research business school in North America to formally combine a degree program in data science and actuarial science.
- Only one more semester
- Although each individual degree is a three-semester program, by extending the program of study by only one semester, MSA/MAS graduates 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, dual degree students can seamlessly acquire expertise in actuarial science and data science even if they do not fully commit to earn the second degree.
Tuition
- In-state students
- $48,120
- Out-of-state students
- $72,736
*These amounts are estimates and subject to change.
Questions?
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Course Sequence
- Fall 1
-
- MSA 8010 – Data Programming for Analytics (3 hours)
- ECON 8740 – Applied Statistics and Econometrics (3 hours)
- MSA 8040 – Data Management (3 hours)
- AS 8340 – Insurance Ratemaking (3 hours)
- Spring 1
-
- MSA 8050 – Scalable Data Analytics (3 hours)
- MSA 8150 – Machine Learning for Analytics (3 hours)
- MSA 8200 – Econometric Modeling for Analytics (3 hours)
- MSA 8600 – Deep Learning Analytics (3 hours)
- Summer 2
-
- Internship
- Fall 2
-
- QRAM 8600 – Theory of Risk Sharing (3 hours)
- AS 8430 – Loss Distribution and Credibility Theory (3 hours)
- Elective (3 hours)
- Elective (3 hours)
- Spring 2
-
- AS 8350 – Insurance Mathematics (3 hours)
- Elective (3 hours)
- Elective (3 hours)