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 – 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)

Broaden your portfolio of knowledge

Data science students can gain broader their business knowledge while MBA students will learn analytical methods to lead the way in business.

Quantitative skills with a business perspective

Students will complete the dual degree in seven semesters and leave prepared to be big data quantitative business managers. They will graduate with an advanced knowledge of both business administration and data analytics, increasing their value to businesses.

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 – Econometric Modeling for Analytics (3 hours)

Summer 2

• MSA Internship or Elective

Innovative

The MSA/QRAM dual degree brings together the quantitative methods used in not only banking and capital but also insurance markets. Our graduates enjoy the flexibility to work in any financial services sector.

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 Department of Risk Management and Insurance 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 – Econometric Modeling for Analytics (3 hours)
• MSA 8600 – Deep Learning Analytics (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)
• Elective (3 hours)

Spring 2

• RMI 8300 – Predictive Risk Modeling (3 hours)
• QRAM 8610 – Financial Engineering (3 hours)
• Elective (3 hours)
• Elective (3 hours)