Master of Science in Quantitative Risk Analysis and Management

Georgia State University

Atlanta, Georgia, USA
Master of Science in Quantitative Risk Analysis and Management
Duration16 Months
LevelMasters Program
  • The modern curriculum combines disciplinary knowledge in risk analysis, modeling and credit analysis with data analytics skills to solve real-world problems
  • The program is well-suited for students with undergraduate and graduate degrees in mathematics, statistics or similar technical disciplines
  • Robinson graduates have secured analytical and technical positions within financial institutions, risk management advisory organizations, and treasury departments of non-financial corporations
Fees componentsAmount
Tuition & fees3353952 INR
Hostel & Meals459801 INR
Insurance195844 INR
Transportation64671 INR
Seat Deposit Fee18310 INR
Athletic Fee20141 INR
Health Fee2930 INR
Technology Fee6225 INR
Student Activity Fee3955 INR
Miscellaneous Fee10913 INR
Books & Supplies146480 INR
Transportation Fee4175 INR
Personal Expenses180537 INR
Total1113982 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • International credentials must be equivalent to a U.S. four-year baccalaureate degree from an accredited institution, which will be determined by an in-house evaluation or a professional course-by-course evaluation depending on your college, school or institute of interest
ExamsTOEFL: 90

IELTS: 6.5

GRE: Accepted

GMAT: Accepted
  • The GMAT is preferred, but applicants may submit GRE scores

Additional info
  • While work experience is not required, it is preferred
  • For Robinson’s M.S. in Quantitative Risk Analysis and Management program, the following alternatives to submitting a GMAT or GRE test score are available:
    • The applicant already has earned an advanced degree (master’s, specialist or doctorate)
    • The applicant already has at least 5 years of full-time professional experience that includes for some time the responsibility of managing others or managing a budget, or experience in information technology or data analysis
    • The applicant has at least a 3.25 undergraduate GPA from an accredited college or university and at least 3 years of full-time professional experience
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