Dual Degree Programs

Innovative

This dual degree combines the quantitative methods used in not only banking and capital but also insurance markets. The program enables graduates to widen their career perspectives in any financial services sector.

Only one more semester

Each individual degree comprises three semesters, but the dual degree program requires only one additional semester. With just a little extra investment of time, graduates will differentiate themselves from the competition by anticipating the rapidly emerging needs of financial services employers, including insurers, banks, asset managers, and hedge funds.

Highly acclaimed

Robinson's Maurice R. Greenberg School of Risk Science is accredited as a Center of Actuarial Excellence by the Society of Actuaries, and our M.S. in Quantitative Risk Analysis & Management is one of only two programs in the U.S. that holds a PRMIA Risk Accreditation by the Professional Risk Managers’ International Association.

Course Sequence

Fall 1

• MSA 8010 – Data Programming for Analytics (3 hours)
• ECON 8740 – Applied Statistics and Econometrics (3 hours)
• AS 8340 – Life Contingencies (3 hours)
• QRAM 8600 – Theory of Risk Sharing (3 hours)

Spring 1

• AS 8350 – Insurance Mathematics (3 hours)
• MSA 8200 – Econometric Modeling for Analytics (3 hours)
• QRAM 8610 – Financial Engineering (3 hours)
• Elective (3 hours)
• Elective (3 hours)

Summer

• Internship

Fall 2

• ECON 8780 – Financial Econometrics (3 hours)
• QRAM 8630 – Interest Rate Models (3 hours)
• QRAM 8640 –  Advanced Credit Risk Modeling (3 hours)
• AS 8430 – Loss Distribution and Credibility Theory (3 hours)
• AS 8360 – Insurance Ratemaking (3 hours)

Spring 2

• RMI 8300 – Predictive Risk Modeling (3 hours)
• Elective (3 hours)

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.

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 – Life Contingencies (3 hours)

Spring 1

• MSA 8050 – Scalable Data Analytics (3 hours)
• MSA 8150 – Machine Learning for Analytics (3 hours)
• MSA 8200 – Predictive 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)
• MSA 8600 – Deep Learning Analytics (1.5 hours)
• Elective (3 hours)
• Elective (3 hours)

Spring 2

• AS 8350 – Insurance Mathematics (3 hours)
• Elective (3 hours)
• Elective (3 hours)

Broaden your portfolio of knowledge

Data science students can gain in-depth information in marketing and marketing students can easily acquire data science skills.

Take customer data to a new level

Over the two-year program students will learn how to design and execute marketing strategies that are guided by data analytics, implementing best practices in customer data.

Creativity and analytics intersect

Students may have the opportunity to work in the Institute for Insight data analytics lab, tackle a consulting project with a real company or organization, and participate in guest speaker and networking sessions to explore how creativity and analytics intersect in today’s business environment.

Course Sequence

Early start date: August

• MRM 8000 – Mathematical Foundations for Analytics (2 hours)

Fall 1

• MSA 8010 – Data Programming for Analytics (3 hours)
• CIS 8040 – Fundamentals of Database Management Systems (3 hours)
• MSA 8190 – Statistical Foundations for Analytics (3 hours)

Spring 1

• MBA 8145 – Marketing Management (3 hours)
• MK 8100 – Buyer Behavior (3 hours)
• MK 8620 – Product Management (3 hours)
• MK 8200 – Marketing Research (3 hours)

Summer 1

• MK 8010 – Marketing Metrics (3 hours)
• MK 8720 – Data-Driven Marketing (3 hours)

Fall 2

• MK 8720 – Digital & Social Media Marketing (3 hours)
• MK 8600 – International Marketing (3 hours)
• MK 8710 – Customer Relationship Management (3 hours)
• MK 8510 – Business to Business Marketing (3 hours)

Spring 2

• MSA 8050 – Unstructured Data Management (3 hours)
• MSA 8100 – Operations Research Models and Methods (3 hours)
• MSA 8150 – Machine Learning for Analytics (3 hours)
• MSA 8200 – Predictive Analytics (3 hours)

Summer 2

• MSA Internship or Elective

Innovative

This dual degree equips students with the data analytics skills and quantitative finance methods used in financial institutions. Successful graduates are transformed into highly sought-after data scientists with financial/risk modeling expertise. Their skill set stands out from traditional data scientists.

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.

Highly acclaimed

Our Maurice R. Greenberg School of Risk Science is accredited as a Center of Actuarial Excellence by the Society of Actuaries, and our MS in Quantitative Risk Analysis and Management is one of only two programs in the U.S. that holds a PRMIA Risk Accreditation by the Professional Risk Managers’ International Association.

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)
• QRAM 8600 – Theory of Risk Sharing (3 hours)

Spring 1

• MSA 8050 – Scalable Data Analytics (3 hours)
• MSA 8150 – Machine Learning for Analytics (3 hours)
• MSA 8200 – Predictive Analytics (3 hours)
• QRAM 8610 – Financial Engineering (3 hours)

Summer

• Internship
• MSA 8020 – Data Visualization (1.5 hours)

Fall 2

• ECON 8780 – Financial Econometrics (3 hours)
• QRAM 8630 – Interest Rate Models (3 hours)
• QRAM 8640 –  Advanced Credit Risk Modeling (3 hours)
• Elective (3 hours)

Spring 2

• RMI 8300 – Predictive Risk Modeling (3 hours)
• MSA 8600 – Deep Learning Analytics (1.5 hours)
• Elective (3 hours)
• Elective (3 hours)

Fluency and flexibility
Fluency in legal and business language and concepts makes you a more valuable asset to your employer because you are uniquely positioned to consult clients and colleagues on a range of matters.

Increase in industry options
From entry-level to C-suite positions, an increase in credentials means an increase in the industries in which you can work and your earning potential. Dual-degree students also are ideally positioned to handle governance, risk management and compliance responsibilities in the medical, insurance and  financial fields, as well as other growing, highly regulated fields.

Efficient evolution
Working as a full- or part-time student, you can save money and time by simultaneously attaining two degrees. Each program accepts credits from the other, resulting in a lower number of courses you must complete.

Develop your network
Whether you're a full-time student or working for a leading organization, you'll find a strong network of the peers and mentors from a wide variety of industry perspectives who can help inspire and ignite your career.

After being accepted, students will work with their academic adviser to create a plan of study for the MBA/J.D. degree.