MS in Quantitative Risk Analysis and Management (QRAM)
A 30-credit risk-science master combining financial engineering, econometrics and predictive modelling. Required teaching links financial risk and interest-rate models with programming and machine learning.
What you’ll study
Core
- Data Programming for Analytics
- Applied Statistics and Econometrics
- Predictive Risk Modeling
- Financial Risk Management
- Machine Learning for AS and RM
- Financial Engineering
- Interest Rate Models
- Financial Econometrics
Electives
- Valuation of Financial Assets
- Financial Data Analytics
- AI and Machine Learning Applications in Finance
- Derivative Markets
- Advanced Credit Risk Models
- Enterprise Risk Management
- Deep Learning and Generative AI
Source: robinson.gsu.edu ↗
Before you apply
- Maths
- Three semesters of advanced calculus; Two semesters of undergraduate mathematical statistics
- Tests
- GMAT or GRE not required
- Other
- No work experience required; foundation courses assigned following transcript review
Source: robinson.gsu.edu ↗
After graduation
The programme doesn’t publish an employment report.
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What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- Georgia State University - MS in Quantitative Risk Analysis and Management (QuantNet)
- Georgia State: MQRF curriculum review request. (QuantNet)
The programme reports a 2025 mean salary of US$88,059; a median is not published in the accessed outcome data.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.