Finance (M.S., on campus and online)
An intensive curriculum, with flexibility built in.
The Master of Science in Finance (M.S.F.) is designed for students who want to specialize in finance. The focused curriculum, complemented by relevant electives, can be completed in as little as one year. For students who want to spend a longer time in the program to accommodate internships or other work experience, there is an option to extend the duration.
Learning Competencies
- Students will demonstrate knowledge of the financial instruments used in global financial markets.
- Students will demonstrate an understanding of the ethical, environmental, social concerns, and corporate governance issues in global business.
- Students will demonstrate knowledge of how individual and institutional investors make investment and portfolio decisions in global financial markets.
To learn more about the M.S. in Finance, visit our website.
CIP Code
52.1399 - Management Sciences and Quantitative Methods, Other.
You can use the CIP code to learn more about career paths associated with this field of study and, for international students, possible post-graduation visa extensions. Learn more about CIP codes and other information resources.
The degree requires 30 credits, which cover the core financial knowledge and skills required for computational finance, asset management, corporate finance, and risk management.
Courses for full-time, on-campus students start in the fall and go through three semesters. On-campus students take core courses in the fall, and specialization courses are taken in the spring. On-campus students can choose to complete the last semester of electives either in the summer or the following fall, to accommodate an internship.
Courses for online students are offered in the fall, spring, and summer semesters. Several core courses are taken first, followed by elective courses.
Prerequisites
We'll take a look at your background and decide if you would benefit from some foundational coursework before pursuing the M.S.F. Some students may be asked to take the courses below prior to the start of the program. Students whose examination results do not meet the minimum standards will be required to take foundation course(s) first and postpone relevant core courses.
- GFGB 6002 Basics of Finance (1 credit)
- GFGB 6003 Basics of Economics (1 credit)
- GFGB 8005 Business Communication for Finance- A and GFGB 8006 Business Communication for Finance - B (1 credit total, on-campus students only)
- GFGB 6011 Basics of Accounting (1 credit)
- GFGB 6012 Basics of Statistics (1 credit)
- GFGB 601F Finance Primer (1 credit, on-campus students only)
Curriculum
Course | Title | Credits |
---|---|---|
Required Courses | ||
GFGB 6006 | Corporate Finance Applications | 3 |
GFGB 6007 | Investment Applications | 3 |
GFGB 7039 | Computational Finance | 3 |
One of the following two options | 3 | |
For on-campus students: | ||
Financial Markets and Responsibility A and Financial Markets and Responsibility-B | ||
For online and collaborative students: | ||
Financial Markets and Responsibility | ||
Electives 1 | 18 | |
Total Credits | 30 |
- 1
Electives include any course with the subject code GFGB.
For on-campus students, in addition to electives with the subject code GFGB, up to two of the following non-finance courses can be taken to fulfill M.S.F. electives, with approval from the Faculty Program Director and/or Assistant Dean. Students may also propose other electives for possible approval as one of the two non GFGB classes.
Course | Title | Credits |
---|---|---|
ACGB 6111 | Financial Accounting & Reporting Data Analysis | 3 |
ACGB 7125 | Financial Statement Analysis | 3 |
ACGB 7136 | International Accounting | 3 |
CMGB 75AJ | Financial Media | 3 |
ISGB 6910 | Business Tech & Analytics | 3 |
ISGB 7967 | Machine Learning for Business | 3 |
ISGB 7973 | Data Management and SQL | 3 |
ISGB 7978 | Web Analytics | 3 |
ISGB 7980 | Bus Modeling w/Adv Sprdsheets | 3 |
ISGB 7988 | Business Performance Analytics | 3 |
ISGB 7990 | Cloud Computing for Analytics | 3 |
ISGB 7943 | Programming with Python | 3 |
ISGB 79AA | Advanced Python for Financial Programming | 3 |
MIGB 779H | Marketing Decision Models | 3 |
MIGB 8701 | Marketing Analytics | 1.5 |
MIGB 8709 | Digital Marketing Analytics | 1.5 |
MKGB 779I | Data-Driven Marketing Decisions | 3 |
SDGB 7844 | Stat Methods and Comp I | 3 |