Skip to Main Content

FINA - Master of Science in Finance (M.S.)

Download as PDF

Business GM MS

Program Title

Finance

Program Type

Major

Degree Designation

MS

Department(s)

Business

Program Description

Effective: Fall 2019

Modifications Made to Curriculum: Fall 2021

Drew University’s Master of Science in Finance program is a one-year immersion in the quantitative and analytical methods and tools used throughout the finance industry.  

Immersive Experience:

The financial internship allows students to apply their classroom skills within a time-sensitive business environment.  Drew’s proximity to New York provides numerous opportunities for internships in the Wall Street sector and beyond.  

Integrative Learning:

The Capstone experience brings together the skills and perspectives gained through the program, as students work in small groups on analyzing and presenting a multifaceted financial case requiring both quantitative and qualitative assessments of the firm and market environments.

Requisites

Foundational Courses (12 Credits)

Students must demonstrate proficiency in or complete the below courses before enrolling in the Finance required courses.

  • ECON101 - Principles of Microeconomics

  • ECON102 - Principles of Macroeconomics

  • STAT117 - Introduction to Statistics

  • MATH150 - Calculus and Analytical Geometry I

  • CSCI150 - Introduction to Computer Science*

*For students concentrating in Financial Engineering only

Degree Requirements (30 credits)

I. Core Courses (24 credits)

Students may choose to pursue a concentration in either Financial Engineering or Investment Management, or to graduate without a concentration. Students pursuing a Master of Science in Finance should complete the courses listed in the appropriate subsection below, as well as the course - Finance Internship and course - Finance Capstone courses, which are required for all Master of Science in Finance students.

A. Financial Engineering Concentration

AND

  • course - Programming in Python* AND course - Business Analytics

    OR

  • course - Applied Regression Analysis AND course - Machine Learning

* Students with more advanced quantitative and analytical undergraduate training may elect to take course and course, instead of course and course. Please consult the Program Director for guidance on course selection.

B. Investment Management Concentration

  • course - Financial Statement Analysis

  • course - Financial Risk Management

  • course - Investments I

  • course - Corporate Finance

  • course - Financial Economics

  • course - Personal Financial Planning

  • course - International Finance

  • course - Behavioral Finance

  • course - Special Topics in Finance

II. Internship (3 credits)

III. Capstone (3 credits)

Option: Master of Science in Finance with No Concentration

Students that are interested in graduating with a more general Master of Science in Finance degree (i.e. no concentration) can accomplish this by taking:

First Semester:

  • course - Financial Statement Analysis

  • course - Investments I

  • course - Financial Economics

  • One 500-level or above Finance or Data Science course

Second Semester:

  • course - Corporate Finance

  • Three 500-level or above Finance or Data Science courses

Summer Semester:

Powered by Coursedog