Quantitative Finance
Major: Quantitative Finance
Degree Awarded: Master of Science in Quantitative Finance (MSQF)
Calendar Type: Quarter
Total Credit Hours: 45.0
Classification of Instructional Programs (CIP) code: 52.1399
Standard Occupational Classification (SOC) code: 11-3031
About the Program
The STEM-designated master's in Quantitative Finance will empower you to make important strategic financial decisions using data-driven insights. The program is designed to prepare you for a wide range of careers including business valuation, risk management, credit analysis, and investment management. Course content is also aligned with sections of the Chartered Financial Analyst (CFA®) and Financial Risk Manager (FRM®) exams.
Admission Requirements
The following items are required for admissions consideration:
- GMAT or GRE score (GMAT preferred)
- Official transcripts from all colleges/universities attended
- Two letters of recommendation
- Personal statement
- Resume
- TOEFL or IELTS score (for international students)
GMAT or GRE is acceptable for consideration to graduate programs. GMAT is preferred. Our admissions committee prefers a minimum GMAT test score of 570 or above or a combined GRE score of 310 or above; however, admissions decisions are based on the entire application package.
International Applicants:
TOEFL or IELTS is required for applicants who did not earn an undergraduate or graduate degree in the United States. For admission consideration, we look for an overall minimum TOEFL score of 90 (with a 22 or higher in Speaking and Listening).; alternatively, an overall minimum IELTS score of 6.5 (with a minimum score of 6.5 in Speaking and Listening).
The admission committee will evaluate your candidacy based on test scores and undergraduate GPA with some consideration given for work experience. Work experience is preferred and will enhance the composite admission score but is not mandatory. There is no specific minimum score requirement for GMAT and/or TOEFL as admission is based on a composite score.
Additional Information
Please contact Drexel LeBow's Graduate Admissions Office directly with any questions concerning required entrance exams (such as the GMAT), evaluation of undergraduate or graduate records (grades, scores, total years and subjects studied, etc.), and any other issues regarding application to the College.
Degree Requirements
| ECON 540 | Intro to Econometrics and Data Analysis | 3.0 |
| ECON 550 | Econometrics | 3.0 |
| STAT 610 | Statistics for Business Analytics | 3.0 |
| Required Finance Courses | ||
| FIN 601 | Corporate Financial Management | 3.0 |
| FIN 602 | Advanced Financial Management | 3.0 |
| FIN 622 | Financial Institutions & Markets | 3.0 |
| FIN 624 | Risk Management | 3.0 |
| FIN 626 | Investment Management | 3.0 |
| FIN 642 | Business Conditions and Forecasting | 3.0 |
| FIN 650 | Derivative Securities | 3.0 |
| FIN 790 | Seminar in Finance | 3.0 |
| or FIN 794 | Seminar in Investments | |
| Elective Graduate Courses * | ||
| Select three (3) of which no more than 1 from FIN | 9.0 | |
| Microeconomics | ||
| Macroeconomics | ||
| International Economics | ||
| International Macroeconomics | ||
| Applied Industrial Analysis | ||
| Trade Policy: Theory and Evidence | ||
| Business & Economic Strategy: Game Theory & Applications | ||
| Corporate Governance | ||
| Entrepreneurial Finance | ||
| Mergers and Acquisitions | ||
| International Financial Management | ||
| Comparative Financial Analysis | ||
| Advanced Portfolio Management | ||
| Applied Portfolio Management | ||
| Inter-Active Decision Support Systems | ||
| Database Analysis and Design for Business | ||
| Predictive Business Analytics with Relational Database Data | ||
| Managing with Enterprise Application Software using SAP - Logistics | ||
| Managing with Enterprise Application Software using SAP-Accounting & Analytics | ||
| Managerial Decision Models and Simulation | ||
| Operations Research I | ||
| Operations Management | ||
| Applied Regression Analysis | ||
| Multivariate Analysis | ||
| Datamining for Managers | ||
| Data Mining for Business Analytics | ||
| Experiential Learning Requirement | 3.0 | |
| Graduate Internship | ||
| International Business Seminar and Residency | ||
| Business Agility and IT | ||
| Managing and Leading the Total Enterprise | ||
| Leading for Innovation | ||
| Business Consulting | ||
| Negotiations for Leaders | ||
| Tax Experiential Learning | ||
| Total Credits | 45.0 | |
| * | Select three (3) electives; no more than one (1) can be a finance course, 2 courses must be from the approved STEM list (see advisor). Courses other than those listed are acceptable with approval of the Finance Department Head or the MS Finance Advisor. Additional specialization can be achieved by concentrating the electives in one of the following fields: banking, investments, or systems management. |
Sample Plan of Study
| First Year | |||||||
|---|---|---|---|---|---|---|---|
| Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
| FIN 601 | 3.0 | ECON 540 | 3.0 | ECON 550 | 3.0 | Experiential Learning Requirement | 3.0 |
| STAT 610 | 3.0 | FIN 602 | 3.0 | FIN 626 | 3.0 | ||
| Elective | 3.0 | Elective | 3.0 | Elective | 3.0 | ||
| 9 | 9 | 9 | 3 | ||||
| Second Year | |||||||
| Fall | Credits | Winter | Credits | ||||
| FIN 622 | 3.0 | FIN 650 | 3.0 | ||||
| FIN 624 | 3.0 | FIN 794 or 790 | 3.0 | ||||
| FIN 642 | 3.0 | ||||||
| 9 | 6 | ||||||
| Total Credits 45 | |||||||
