Program in Quantitative Finance and Risk Analytics Lally School of Management Rensselaer Polytechnic Institute

Program in Quantitative Finance and Risk Analytics Lally School of Management Rensselaer Polytechnic Institute

Troy, NY
location
Private
type
Suburban
setting
0%
0%
student ratio
0
total students
Not Reported
average amount to complete degree
January 1
fall application deadline
26%
acceptance rate
2 Degrees Offered
degrees offered

Overview

Rensselaer's Lally School of Management & Technology

The Lally School of Management & Technology at Rensselaer Polytechnic Institute is dedicated to helping future business leaders acquire the ability to effectively work across business functions. It has full accreditation from the Association to Advance Collegiate Schools of Business (AACSB).

The school offers programs that emphasize "innovation and technology entrepreneurship in the global economy." It has 2 academic centers: the Severino Center for Technological Entrepreneurship, and the Center for Financial Studies.

The Lally School provides excellent opportunities for students to gain understandings of the global business environment. It has international exchange programs with 19 universities and is involved with numerous international research collaborations.

The Master of Science in Quantitative Finance and Risk Analytics (QFRA) at Rensselaer Polytechnic Institute

The MS Program in Quantitative Finance and Risk Analytics at Rensselaer Polytechnic Institute helps students acquire expertise in financial theory and computational and analytical techniques needed to address challenges in the finance and banking industries. Students receive rigorous training in empirical research and modeling through the use of a wide-variety of professional database and computer software applications. The interdisciplinary program, which is administered through the Lally School of Management and Technology, exposes students to emerging ideas, practices, and techniques in the field.

Career Options for Graduates

Graduates of the MS Program in Quantitative Finance and Risk Analytics can pursue a wide-range of career tracks, including those of quantitative analyst, financial analyst, credit risk specialist, loan portfolio analyst, quantitative risk analyst, financial controller, and financial modeling expert.

Graduates work in a number of businesses such as commercial and investment banking, brokerage and investment firms, consulting and accounting firms, and insurance companies.

MS in Quantitative Finance and Risk Analytics Curriculum

The MS in Quantitative Finance and Risk Analytics is a 30-credit program that can be completed in 1 year of study. It includes 2 areas of concentration: quantitative finance and financial risk analysis.

The curriculum consists of 4 basic foundation courses and 6 courses in an area of concentration. Students who do not have finance or management backgrounds may take 6 additional credit hours of mathematics and statistics courses.

Core Courses

The program's core courses provide students with comprehensive knowledge about finance theory and modeling and computational techniques.

Core courses include "Financial Modeling;" "Financial Computation;" "Options Futures;" and "Derivatives Markets." Students may choose from 2 different concentration areas.

Quantitative Finance Track

Students in the quantitative finance concentration gain in-depth understandings of the technology-based tools and techniques that are used in finance. Courses focus on topics such as risk management, linear programming, time series analysis, financial mathematics and simulations, and financial trading and investing.

Risk Analysis Track

Students who choose the risk analysis concentration learn how to use a variety of technology-based resources to effectively analyze and use financial data. They may choose to take a variety of courses including courses on advanced financial statement analysis, financial econometrics modeling, advanced corporate finance, risk management, and international finance.

Well-Rounded Faculty Members

Faculty members -- like Aparna Gupta, PhD, John Teall, PhD, and Albert S. Paulson, PhD -- are skilled teachers, accomplished researchers, and successful professionals in a variety of industries. Research interests include risk management, applied statistics, mathematical modeling, finance, and insurance. Their research has been published in numerous academic journals.

Admissions Process at Rensselaer Polytechnic Institute

The graduate admissions process at Rensselaer Polytechnic Institute involves submitting the following items: an online application; GMAT or GRE scores; 2 essays; and a resume. International students should consult the website for additional requirements.

Rensselaer Polytechnic Institute -- the Nation's Oldest Technological University

Rensselaer Polytechnic Institute is located in Troy, New York, in the northeastern region of the United States. The institute, which is the oldest technological university in the nation, has more than 145 bachelor's, master's, and doctoral programs.

Innovative educational programs, cutting-edge research, and expert faculty members ensure that Rensselaer's 7,000 students receive high-quality educations that enable them to successfully compete in the global job market.

Because the university is located in New York's capital region, it is within reach of a variety of cultural and recreational opportunities including art galleries, museums, musical events, sporting events, shopping venues, festivals, mountains, lakes, and parks.


Location & Contact

Program in Quantitative Finance and Risk Analytics

Lally School of Management
Rensselaer Polytechnic Institute

110 8th Street
Troy, NY 12180-3590
United States

Dr. Gina O'Connor

Graduate Program Director

Phone: 518-276-6842
Email: oconng@rpi.edu

Office of Graduate Admissions

Phone: 518-276-6216
Email: gradadmissions@rpi.edu

Request More Info

Degrees & Award

  • Degrees Offered
    • Major Degree Levels Offered
    • Financial Engineering Master of Science (MS)
      Master of Science/Master of Business Administration (MS/MBA)
  • Degrees Awarded
    • Master's Degrees 61
    • Doctoral Degrees 0
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported
    • * Shows the number of degrees awarded for the last academic year that data was reported.
  • Earning Your Degree
    • Part-time study available? Yes
    • Evening/weekend programs available? No
    • Distance learning programs available? No
    • Terminal master's degree available? Not reported
  • Degree Requirements
    • Master's Degrees Not reported
    • Doctoral Degrees Not reported
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported

Admissions

26% of applicants are admitted.
  • Acceptance Rate
    • Applied 361
    • Accepted 95
    • Acceptance Rate 26
    • Enrolled 41
  • Applying
    • Application Fee - Domestic $75
    • Application Fee - International $75
    • Electronic applications accepted? Yes
    • Applications processed on a rolling basis? Yes
  • Application Deadlines
    • Type Domestic International Priority Date
    • Fall deadline January 1st January 1st Not Reported
    • Winter deadline Not Reported Not Reported Not Reported
    • Spring deadline Not Reported Not Reported Not Reported
  • Entrance Requirements
    • Master's DegreesGMAT or GRE
    • Doctoral's DegreesNot Reported
    • First-Professional's DegreesNot Reported
    • Other Advanced DegreesNot Reported
    • International DegreesTOEFL required, 570 paper based, TOEFL iBT, IELTS required, IELTS paper based

Tuition & Fees

  • Tuition & Fees *
    • Tuition & FeesNot Reported
    • *Average dollar amount (tuition & fees) required to complete the degree
  • Financial Support
    • Financial award applicants must submitNot Reported
    • Application deadlines for financial awardsJanuary 1
    • Types of financial support availableScholarship and/or loans

Student Body

  • Gender
    • Total Graduate Students0
    • Female Percentage0%
    • Male Percentage0%
  • Participation
    • Total Graduate Students0
    • Part-time Percentage0%
    • Full-time Percentage100%
  • Ethnicity
    • Hispanic / LatinoNot Reported
    • Black / African AmericanNot Reported
    • White / CaucasianNot Reported
    • American Indian / Alaskan NativeNot Reported
    • AsianNot Reported
    • Native Hawaiian / Other Pacific IslanderNot Reported
    • Two or more racesNot Reported
    • UnknownNot Reported

Faculty

  • Faculty Breakout
    • Total Faculty
    • Full-time PercentageNot Reported
    • Part-time PercentageNot Reported
    • Female PercentageNot Reported
    • Male PercentageNot Reported

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