Master of Science in Data Science and Analytics
Dual-Degree Programs
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?
Email Us
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)
Master of Science in Analytics/Master of Business Administration
Broaden your portfolio of knowledge
- Data science students can broaden 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.
Program Cost
- In-state students
- $48,110
- Out-of-state students
- $79,007
*These amounts are estimates and subject to change.
Questions?
Email Us
Course Sequence
- Fall 1
-
- MBA 8000 – Managing in the Global Economy (3 hours)
- MBA 8015 – Strategic Business (3 hours)
- MBA 8025 – Financial Statement Analysis (3 hours)
- Spring 1
-
- MBA 8165 – Leadership and Organizational Behavior (3 hours)
- MBA 8030 – Legal Environment: Ethics and Corporate Governance (3 hours)
- MBA 8045 – Analytics Experience (1.5 hours)
- MBA 8115 – Managerial Accounting and Control Systems (1.5 hours)
- Summer 1
-
- MBA 8135 – Corporate Finance (3 hours)
- Fall 2
-
- MSA 8010 – Data Programming for Analytics (3 hours)
- MSA 8190 – Statistical Foundations for Analytics (3 hours)
- MSA 8040 – Data Management for Analytics (3 hours)
- MSA 8020 – Data Visualization (1.5 hours)
- Spring 2
-
- MSA 8600 – Deep Learning Analytics (1.5 hours)
- MSA 8150 – Machine Learning for Analytics (3 hours)
- MSA 8050 – Scalable Data Analytics (3 hours)
- MSA 8200 – Predictive Analytics (substitutes for MBA 8040) (3 hours)
- Summer 2
-
- MBA 8125 – Digital Innovation (3 hours)
- Fall 3
-
- MBA 8145 – Strategic Marketing Management (3 hours)
- MBA 8820 – Global Strategic Management (3 hours)
Course Sequence
- Summer (if applicable)
-
- MSA 8005 – Mathematical Foundations for Analytics (Not a required course, option for students who wish to develop advanced mathematical skills)
- Fall 1
-
- MSA 8010 – Data Programming for Analytics (3 hours)
- MSA 8190 – Statistical Foundations for Analytics (3 hours)
- MSA 8040 – Data Management for Analytics (3 hours)
- MSA 8100 – Optimization for Analytics (1.5 hours)
- Spring 1
-
- MSA 8050 – Scalable Data Analytics (3 hours)
- MSA 8600 – Deep Learning Analytics (1.5 hours)
- MSA 8150 – Machine Learning for Analytics (3 hours)
- MSA 8200 – Econometric Modeling for Analytics (substitutes for MBA 8040) (3 hours)
- Summer 1
-
- Elective or MSA Internship* (3 hours)
- Fall 2
-
- MBA 8000 – Managing in the Global Economy (3 hours)
- MBA 8015 – Strategic Business (3 hours)
- MBA 8025 – Financial Statement Analysis (3 hours)
- Spring 2
-
- MBA 8165 – Leadership and Organizational Behavior (3 hours)
- MBA 8030 – Legal Environment: Ethics and Corporate Governance (3 hours)
- MBA 8045 – Analytics Experience (1.5 hours)
- MBA 8115 – Managerial Accounting and Control Systems (1.5 hours)
- Summer 2
-
- MBA 8135 – Corporate Finance (3 hours)
- Fall 3
-
- MBA 8125 – Digital Innovation (3 hours)
- MBA 8145 – Strategic Marketing Management (3 hours)
- MBA 8820 – Global Strategic Management (3 hours)
* Students with no prior work experience are required to have an MSA internship.
Master of Science in Analytics/Master of Science in Marketing
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.
Program Cost
- In-state students
- $65,813*
- Out-of-state students
- $75,250*
*These amounts are estimates and subject to change.
Questions?
Email Us
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
Master of Science in Analytics/Master of Science in Quantitative Risk Analysis and Management
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.
Program Cost
- In-state students
- $48,120
- Out-of-state students
- $72,736
*These amounts are estimates and subject to change.
Questions?
Email Us
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)
Master of Science in Data Science and Analytics/J.D.
The J.D. and Master of Science in Analytics dual-degree program is offered by the Legal Analytics & Innovation Initiative and Robinson College of Business.
Develop skills and knowledge through the latest in data science methodologies to answer legal questions and problems. Exploit advances in artificial intelligence, machine learning and programming to glean new insights from legal materials and become an advocate for others.
Georgia State University works with legal and corporate partners to put analytics into practice, develop new opportunities, and share cutting-edge research insights to solve legal and business problems. Be at the forefront of the big data revolution in the legal world.
Curriculum
Earn two degrees in a shorter time and at a lower cost than if pursued separately. For students with a strong math background, it’s possible to obtain two degrees in 3.5 years (if summer school courses are taken). Students must consult with advisors in both the College of Law and Robinson College of Business to determine the most appropriate curriculum for their interests and background.