The M.S. in Financial Planning and Wealth Management 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 Master’s in Financial Planning and Wealth Management program is available under Plan B (without thesis), and the program of study is determined in consultation with, and with the approval of, the program director at the time of enrollment. The program commences at the beginning of the fall semester and ends at the completion of the spring semester.
A total of 30 Credits are required for the degree. 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 they may begin the program.
Flexibility in the choice of courses is the key characteristic of the M.S. in Financial Planning and Wealth Management 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 financial planners including traditional planning topics along with relationship development and building skills.
An example of a set of courses completing the M.S. degree with the full 30 credits is as follows:
Issues in estate planning and income tax planning for the financial planner and wealth management advisord shaping data.
Advanced retirement planning, client management, planning tools and software applications. Case-based capstone course resulting in the creation of a comprehensive financial plan.
Essential financial theories and quantitative tools related to the field of investments. Topics include behavior and distribution of stock returns, mean-variance optimization model of portfolio selection, basic asset pricing theories and market efficiency.
Security risk and return concepts. Security analysis and concepts of market efficiency. Emphasis on equity investments. Bonds, options, futures and international securities.
Fundamental analysis of individual stocks. Discounted cash flow valuation, relative valuation and special situations. Portfolio implications.
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.