Note: Please consult the separate application and tuition information if you wish to take one or more of our prerequisite courses as a non-degree ("non-matriculated") undergraduate student.

Non-degree students can take courses from the curriculum for the MS in Mathematics Degree with Option in Mathematical Finance. If you are not enrolled in a degree program at Rutgers and do not wish to pursue the MS degree, you should submit the application package (steps one and two) as a non-degreegraduate student, with the following adjustments:
  • Transcripts may be unofficial.
  • Test scores (GRE, TOEFL), letters of recommendation, or personal statement are not required.
  • Résumé is recommended.
Transcripts are needed to demonstrate that you have taken the pre-requisites (at Rutgers or elsewhere) for any courses for which you wish to register. When your application has been approved, we will provide you with special permission numbers or pre-requisite overrides for course registration, a process with which our program administrator can provide assistance; in addition, you may need to contact a course instructor directly for permission to register for his or her course.

When applying to Rutgers as a non-degree mathematics graduate student, you may choose to apply as a standard mathematics (16640) or mathematical finance (16643) graduate student. Which option you choose affects your tuition rates, your ability to enroll in certain mathematical finance courses, and it may affect how your major field of study is desigated on your Rutgers transcripts (whether standard mathematics option or option in mathematical finance). There is also a limit on the number of credits you can take while a non-degree student and later redesignate for degree credit, so we ask that you read the following information carefully. Please do not hesitate to contact us with any questions.

Registration for Mathematical Finance Core Courses

Non-degree students taking the following core mathematical finance three-credit courses (offered during the Autumn or Spring semesters only) must be enrolled as mathematical finance (16643) graduate students:
  • 16:643:621 Mathematical Finance I
  • 16:643:622 Mathematical Finance II
  • 16:643:623 Computational Finance
  • 16:643:624 Credit Derivative Modeling
  • 16:643:628 Topics in Mathematical Finance
Tuition for all Rutgers courses (regardless of subject code or whether undegraduate or graduate) while coded as mathematical finance graduate student is billed at the special mathematical finance option rate during regular Autumn or Spring semesters. Students can only be coded in one way for any given semester. If you are a non-degree student with another major (whether standard mathematics (16640), statistics (16960), or other), you must apply for admission as a non-degree mathematical finance option graduate student (16643) to take any one of the above three courses.

Registration for Courses at Rutgers Business School

Registration for courses at Rutgers Business School is only open to students who are part-time or full-time degree candidates for the MS in Mathematics with Option in Mathematical Finance.

Limit on the Number of Credits taken as a Non-Degree Student

No more than twelve (12) credits can be taken as a non-degree student and credited for the MS degree if you later apply to be a degree candidate for the MS in Mathematics with Mathematical Finance Option. This twelve credit limit includes any coursework taken at another university which you request for transfer credit to Rutgers.

News & Announcements

Alumni & Graduates Celebration- Class 2019

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Launching Three New Certificate Programs in Fall 2019

Graduate Certificate in Data Science (for MSMF and FSRM students) - Click for details.

Graduate Certificate in Financial Statistics and Risk Management (for MSMF and MSDS students) - Click for details

Graduate Certificate in Mathematical Finance (for all students except MS Statistics students) - Click for details

For more information, please contact Professor Paul Feehan, Director of the Mathematical Finance Master’s Degree Program feehan (at) math.rutgers.edu.

Upcoming Events

Tue Oct 22 @12:00PM - 01:00PM
Mathematical Finance Master's Program- Admissions Information Session
Come join us for MSMF Admissions Information Session.
RSVP at: https://rumsmfinfosession.eventbrite.com

Tue Nov 05 @11:50AM - 12:50PM
Ruimeng Hu, Columbia University
Tue Nov 19 @11:50AM - 12:50PM
Resolving Asset Pricing Puzzles with Price Impact
Xiao Chen- Rutgers University
Tue Mar 24 @12:00AM
Kiseop Lee-Purdue University

Past Events

Tue Sep 24 @11:50AM - 12:50PM
Optimal Bookmaking
Bin Zou - University of Connecticut
Tue Oct 01 @11:50AM - 12:50PM
Viscosity solutions for controlled McKean–Vlasov jump-diffusions
Max Reppen - Princeton University
Tue Oct 08 @ 9:00AM - 10:00AM
Rutgers Mathematical Finance Open House Webinar
Come join us for our monthly MSMF open house webinar
Register here: https://msmf2019networkingevent.eventbrite.com
Tue Oct 08 @11:55AM - 12:55PM
Inverting the Markovian projection, with an application to local stochastic volatility models
Dan Lacker - Columbia University
Tue Oct 15 @12:00PM - 02:30PM
Rutgers University- Camden, Graduate/Professional School Fair