Rutgers University Rutgers Business School 28 courses 45 total credits
Financial managers and related professionals are playing an increasingly important role in mergers, consolidations, global expansion, and financing, where their extensive specialized knowledge helps to reduce risks and maximize profit. The role of these professionals is also changing in response to technological advances; finance professionals now perform more analysis and serve directly with senior management in planning for profit maximization. The Rutgers Business School: Graduate Programs-Newark and New Brunswick's master of quantitative finance program is a unique and exciting degree program designed to prepare you for employment in this interdisciplinary, technologically sophisticated, specialized field. The master of quantitative finance program qualifies as a science, technology, engineering, or mathematics (STEM) field for international students that are considering Optional Practical Training (OPT). More information about OPT and STEM is available at U.S. Immigration and Customs Enforcement .
| Total Credits | 45 credits |
Core Courses
Machine Learning in Finance (22:839:685)* Derivatives (22:839:609) Stochastic Calculus for Finance (26:711:563) or Stochastic Processes (26:960:580) Contemporary Topics in Finance (22:839:664) (for full-time students only) *pick two of the three courses
Electives (15 credits)
Quantitative Methods in Financial Engineering 22:839:656 Risk Management (22:839:670) Stochastic Processes (26:960:580) MQF Research (22:839:690) Market Risk Management (22:839:607) Portfolio Management Active vs. Passive (22:839:695) Large Language Models (22:544:654) Business Data Management (22:198:603) Business Analytics Programming (22:198:660) AI Methods with Neuro Networks with Deep Learning (22:544:635) Financial Modeling - Corp. and Projects (22:390:680) Stochastic Programming (26:711:555) Scarlet Fund I&II (22:390:700/701) Algorithm Trading and Portfolio Management (16:958:591) 1. Econometrics (26:220:507) and Financial Time Series (26:960:685) are substitutable core courses....
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