All applications and supporting documents should be submitted to the Graduate School. Please note the MSF program does not require letters of recommendation.

Spring admission is considered if either one of the following two conditions is met:

• Applicant plans to finish the program in more than two semesters.
• Applicant's undergraduate major is finance with a GPA greater than or equal to 3.0.

Completion of the application does not guarantee admission into the MSF program. Applicants will be evaluated primarily based on their undergraduate grade point average (GPA), their GMAT/GRE scores, and their TOEFL/IELTS scores.

• Resume or CV.
• Minimum undergraduate GPA requirement is 2.75.
• Undergraduate transcript. Please note: Transcripts in SECURE pdf files need to be printed out, re-scanned, and uploaded. Our system will not be able to read it otherwise.
• Minimum GMAT is 550, and minimum GRE is 300.
• GMAT or GRE: The Institution Code for the UK Graduate School is 1837 for both GMAT and GRE.

• Resume or CV.
• TOEFL / IELTS / DUOLINGO accepted. Minimum TOEFL score is 550 (paper-based), 213 (computer-based), or 79 (internet-based). The minimum IELTS score is 6.5. The minimum DUOLING is 115, (add comma) plus an online interview. The TOEFL Institution Code for the UK Graduate School is 1837.
• Undergraduate transcript. Please note: Transcripts in SECURE pdf files need to be printed out, re-scanned, and uploaded. Our system will not be able to read it otherwise.
• Minimum GMAT is 550, and minimum GRE is 300.
• GMAT or GRE: The Institution Code for the UK Graduate School is 1837 for both GMAT and GRE.

International students in the program must take at least nine credit hours per semester in order to maintain the full-time student status. Students may apply for a reduced course load the last semester.

TOEFL/IELTS waiver can be offered to students who earned their bachelors' degrees from other U.S. universities.

For more information, contact Yingnan Song.

Select five of the course below:

FIN 600 - Corporate Financial Policy
FIN 650 - Investments
FIN 630 - Financial Modeling and Analysis
ACC 621 - Understanding Financial Statements
FIN 685 - Investments Practicum I
FIN 695 - Python Predictive Analytics

Select five of the course below:

FIN 623 - International Financial Management
FIN 688 - Financial Analytics Tools
FIN 645 - Corporate Investment and Financial Policy
FIN 686 - Investments Practicum II
FIN 691 - Current Issues in Finance
FIN 652 - Options, Futures, and Derivatives
FIN 695 - Python Predictive Analytics

Nationally Recognized

The John Maze Stewart Department of Finance and Quantitative Methods has been accepted into the CFA Institute University Recognition Program every year since 2012. The Master of Science program has been included in the CFA Institute University Recognition Program since 2017. This status is granted to institutions whose degree programs incorporate at least 70% of the CFA Program Candidate Body of Knowledge (CBOK).

Students are provided with a solid grounding in the CBOK*, and are prepared to sit for the CFA exam. Each year, the CFA Institute allots 13 scholarships to finance students. (MSF or undergraduate). Students with scholarships will be able to access CFA preparation materials for free and take CFA exams at a significantly lowered rate.

Financial statements communicate information about a business and its operations. Students will gain an understanding of the information being communicated (or not communicated) by the business entity. Emphasis is on the uses of information, rather than its preparation.

A study of financial management from the viewpoint of the corporate financial officer. Areas studied include capital budgeting, capital structure, financing decisions, working capital management, dividend policy, and mergers and acquisitions.

This course provides an overview of financial management at the international level. Topics covered include: The nature and uses of international financial markets, the financial behavior of multinational corporations, exchange rates, and hedging in international business.

This course provides students with the skills necessary to apply modern financial theories to real world applications in both corporate finance and investments. Students will get hands-on experience implementing models from areas such as capital budgeting, financial planning, and asset valuation.

Emphasizing both theory and practice, this course is an in-depth study of long-term corporate investment and financing decisions. Topics include valuation, capital budgeting, cost of capital, leasing, dividend policy, capital structure, and mergers and acquisitions.

Analysis and valuation of securities and the effects on investment decisions.

A derivative security is a financial instrument whose value depends upon the value of another (i.e., underlying) asset. Examples of derivatives include forwards, futures, options, and swaps. The market for derivatives is enormous. As of December 2018, there was $544 trillion in notional principal of over-the-counter derivatives. This course introduces students to the theory of and practical application of derivative securities. We will focus on institutional aspects of derivatives markets, no arbitrage pricing of derivatives by payoff replication, and ways to use derivatives to speculate and hedge financial risks. Futures, options, and swaps on different underlying assets will be covered. Emphasis will be on pricing and application.

The course gives students a working knowledge of, and experience applying the basic principles of value-oriented equity investing. Students manage a real-money equity portfolio, making all buy/sell decisions.

This is the second of a two course sequence that gives students a working knowledge of, and experience applying the basic principles of value-oriented equity investing. Students manage a real-money equity portfolio, making all buy/sell decisions.

This course will expose students to tools such as Alteryx, Tableau, SAS JMP Pro, RapidMiner, and Python, so they may exploit these in conducting financial analytics. The course emphasizes salient features of these tools and provides students with opportunities to apply them to self- selected financial data to generate analytics of interest to the individual students and student teams.