Blending Knowledge, Skills and Experience in a Professional Science Master’s Program

Presenter

Paul W. Eloe

Department of Mathematics

Date: October 14

, 2011

Overview of Program

      Comprehensive (Private) University (7000 undergraduate, 4000 graduate, College of A&S, Schools of Business, Engineering, Education and Law, very strong tradition of liberal arts & science) MFM program (in Department of Mathematics, Finance delivered through MBA program, good cooperation between Math and Finance) Intended to serve Financial Services industry regionally (Chicago Board of Trade, Actuarial Science, Banking, …) Entrance requirements set to attract students from broad range of undergraduate majors 11 course program of study (research is satisfied in a 3 credit hour course called Mathematics Clinic); feasible to enter in August and graduate in December, 15 months later.

Currently 33 active folders with at least 6 joining the program in January; support 3 on assistantships; domestic students, International students (Chinese, Saudi Arabian)

Knowledge

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Analysis, Ito Calculus, Stochastic Processes (continuous time, discrete time)

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PDE and Optimal Control in Finance

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Statistics and Time Series

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Numerical Analysis, deterministic and stochastic

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Credit Markets, Pricing Models

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Financial Derivatives and Risk Management

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Interest rates, Fixed Income Models

Skills

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Software applications to portfolio management, risk management, financial asset trading, hedging

 

Programming skills Data Analysis

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Portfolio Management

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Communication skills (interface with clients, business partners)

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Interviewing Skills

Experience

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Work experience (internships)

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Research experience Hands-on experience with, say, case studies or projects

Challenges to Deliver

-Assume a baccalaureate degree

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Math major

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Statistics major

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Finance major



Computer Science major

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Engineering major

Business Partners (current project)

   

A Business Partner; opportunities for internships (in Dayton), training provided by the Business Partner, research done in teams and data driven Student obtains skills (interviewing, communication, data analysis, software package experience, programming, supervised team working skills) Student obtains experience (internship, research, hands-on) Goal to move this opportunity into the curriculum possibly with a three credit hour case studies course