The M.S. in Finance program is designed to provide graduate-level finance training to individuals with either career experience in finance or an undergraduate degree in finance / related field.
The curriculum is flexible and allows students to choose courses that will meet their specific professional needs. Courses are offered in all of the major areas of finance, including financial management, financial modeling, investments, financial data analytics, machine learning in artificial intelligence, and international finance.
The program is available only under Plan B (without thesis), and the program of study is determined in consultation with, and with the approval of, the graduate program director at the time of enrollment. The program commences at the beginning of August and ends at the completion of the summer semester.
A total of 30 credits are required for the degree. A student’s program of study must be approved by the director of the program. All students must meet the requirements specified below:
Students who have not completed equivalents of MTH 124: Survey of Calculus I and STT 315: Introductory Probability and Statistics for Business must take appropriate remedial math coursework before the program begins.
Flexibility in the choice of courses is the key characteristic of the M.S. in Finance program. Subject to certain broad guidelines, each student’s program of study is developed to further the student’s chosen professional objectives and to build on the student’s prior academic background.
The curriculum covers a variety of topics important to the finance profession, including financial modeling, investments, risk management, real world financial data analytics, deep learning and neural networks in finance, and international finance. An example of a set of courses completing the M.S. degree with the full 30 credits is as follows:
Investment decisions by firms. Value creation, risk and return, pricing models, and financial markets. Financing alternatives, market efficiency, capital budgeting, and leverage and risk relationships. Optimizing firm value. Agency problems and effects on investment and financing decisions.
Applications of financial theory through computer modeling. Financial forecasting, cash flow modeling, and valuation.
Security risk and return concepts. Security analysis and concepts of market efficiency. Emphasis on equity investments. Bonds, options, futures and international securities.
Theories concerning domestic and international financial markets and instruments. Effects of risk and maturity on prices. Arrangement of business and portfolio risk and returns with options and futures.
Fundamental analysis of individual stocks. Discounted cash flow valuation, relative valuation and special situations. Portfolio implications.
Capital budgeting, capital structure decisions, cash management, foreign currency markets and exchange rate risk management. Ethical and tax considerations.
Financial planning and control using financial theory and management techniques. Applications in international settings. Use of business cases.
Financing of entrepreneurial startups, venture capital and private equity. Valuations of entrepreneurial startups, structuring venture capital, and private equity deals and partnerships.
Introduction to the analysis of real-world financial data in a variety of settings. Applying textual analysis to large documents, identifying “sentiment” in Google search data, and back-testing trading strategies. Developing the programming skills necessary to both collect and prepare data for analysis. Identifying, downloading, cleaning, and shaping data.
A survey of methods from economics and statistics with applications to financial problems. Topics include the economics of the firm, strategic behavior, regression analysis, decision analysis, simulation, forecasting and project management.
Field study of the financial function of the modern firm. EIC analyses and applied cases integrating capital budgeting, valuation, capital structure, mergers, international issues, working capital management and ethical considerations.
The impact of international law on business practices. Government regulation of international business. Legal issues in international financial decisions.
The students in the Master of Science in Finance degree program in the Eli Broad Graduate School of Management regard the principles of truth and honesty as fundamental to the finance profession. The Honor Pledge is an agreement that a student makes with his or her fellow students to adhere to these principles. The Honor Pledge allows each student to fully develop his or her individual potential and protects the integrity of scholarship and grades at Michigan State University.
All members of the Department of Finance – students, faculty, and staff – are responsible for reporting Honor Pledge violations to the instructor of the course, or to the department chair for a non-course-related violation. The rights of students accused of such violations are specified in Article 5 of the Graduate Rights and Responsibilities, Spartan Life: Student Handbook and Resource Guide. Article 5 also specifies the sanctions against students who are found guilty of Honor Pledge violations.
I pledge that I will not lie, cheat, steal or plagiarize in my academic endeavors, and that I will conduct myself truthfully and honestly to uphold the integrity of Michigan State University.