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Jeevan Teja Araveti '24: Quantitative Finance

Finance: Quantitative MS

Quantitative Finance Concentration (STEM program)

The Master of Science in Finance (MSF) with a quantitative finance concentration is a 10-course, 30-credit degree program. The concentration has a mathematical and capital market focus that will appeal to students interested in quantitative financial analysis, risk management, investment management, and financial technology careers.

The quantitative finance concentration is STEM (science, technology, engineering, and math)-designated, offering students on a VISA an extended OPT upon completion of the degree.

Career opportunities

The MSF program prepares you for various career opportunities, including:

  • a financial analyst working for commercial banks, brokerage firms, insurance companies, and in government
  • a securities, commodities, and financial services sales agent working for brokerage firms, investment banks, and trading companies
  • a financial manager or personal financial advisor

Required courses

  • ACT 670: Financial Statement Analysis
  • FIN 650: Finance for Decision Making
  • FIN 655: Quantitative Methods in Finance
  • FIN 670: Investment Analysis
  • FIN 672: International Financial Management
  • FIN 691: Options, Futures, and other Derivatives
  • FIN 698: Financial Institutions Management

Elective courses

Students may choose three electives from the following courses

  • FIN 675: Fixed Income Analysis
  • FIN 692: Financial Risk Management
  • FIN 693: Advanced Corporate Finance
  • FIN 697: Financial Modeling
  • Other graduate course in mathematics, statistics, computer science, or data analytics approved by the program coordinator

Prerequisites or additional requirements (as needed)

  • ACT 500: Financial Accounting
  • FIN 500: Economic Concepts for Managers
  • POM 500: Statistical Analysis

Course descriptions, schedules and requirements

Student success

Jeevan Araveti pictured in front of a Bloomberg Terminal in the Charlton Technology Center
Jeevan Teja Araveti '24: Master of finance

"The master's in finance with a quantitative finance concentration strategically overlaps with the Chartered Financial Analyst (CFA) curriculum, making the program of study the perfect fit for my goals."

International (F-1) students who receive science, technology, engineering, and mathematics (STEM) degrees may be eligible to apply for a 24-month extension of their post-completion optional practical training (OPT). To learn about the eligibility criteria and detailed steps to apply, please review the International Student & Scholar Center (ISSC) OPT page and USCIS resources. F-1 students must consult with the ISSC to apply for STEM OPT.

University requirements for graduate admissions

  • Submit an application via the online portal. Be sure to provide your full legal name and to capitalize the first letter of all proper nouns.
  • Pay non-refundable $60 application fee (American Express, Discover, MasterCard or Visa) via the online portal. For Nursing applicants, the non-refundable application fee is $75.
  • Statement of Purpose, minimum 300 words. Unless otherwise indicated in the program requirement details, indicate your graduate study objectives, research interests and experience, and business or industry experience if applicable. If you are applying for a teaching or research assistantship, include any special skills or experience that would assist us in making assistantship decisions.
  • Resume
  • Transcripts for all post-secondary institutions attended (regardless of whether a credential is earned or not). Unofficial transcripts are accepted for admissions application review, once enrolled a final official transcript is required. International students applying with an transcript evaluation, please submit that document with your unofficial transcripts. International applicants for Data Science must submit semester-by-semester transcripts as well as consolidated transcripts. 
  • Many programs have specific recommendations/requirements, please see the additional program-specific requirements for more information.
  • International students: official TOEFL iBT, IELTS, Pearson PTE or Duolingo (if accepted by program) score. Unofficial scores are accepted for admissions application review, once enrolled official scores are required and must be sent by the testing agency (copies/scans not accepted). This is required of any applicant who did not earn a bachelor’s degree or higher degree from an accredited academic institution in the U.S. or accepted English-speaking country, see exemptions for more details. We require an overall/total minimum score of 72 on the TOEFL iBT or BAND 6.0 on the IELTS or a 52 on the Pearsons PTE Academic for entrance to any program and a minimum score of 79 on the TOEFL iBT or BAND 6.5 on the IELTS for consideration for a teaching assistantship. Some programs require higher minimum scores (see program-specific requirements). Most programs also accept the Duolingo with a minimum score of 95. The following programs do not accept the Duolingo: Art Education, Biology/Marine Biology, Nursing (MS, DNP, PhD), Psychology: Clinical, and Public Policy. 
  • All official documents are required for enrollment, please have documents (ie. test scores) sent prior to the expiration. 

Program-specific requirements

Candidates must submit the required application materials, university requirements and program-specific requirements, for consideration.

  • GMAT, LSAT or GRE score (minimum score of 500). Alternatively, some applicants may qualify for GMAT waiver.
  • 2 letters of recommendation: preferably from a faculty member or an employer. Applicants will be required to provide each recommender's name and email address so we can contact the recommender for the letter of recommendation.
  • International students should have a minimum English Proficiency score of TOEFL iBT 80, IELTS 6.5, Duolingo 110 or the Pearsons PTE Academic 58.

Program deadlines

Finance: Quantitative MS faculty

Duong Nguyen, PhD
Gopala Vasudevan, PhD
Michael Anderson
Michael Anderson, PhD
Zhenzhen Sun, PhD
Zhaojin Xu
Zhaojin Xu, PhD
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