Financial Analytics M.SC.

Part of the prestigious School of Graduate Studies at Trent University, the Financial Analytics M.Sc. is a new stream in the program of Applied Modelling and Quantitative Methods.

The Financial Analytics Stream is a Master’s of Science degree focusing on the theories and techniques of financial analysis. A professional program of 16 months in length, this exciting new stream prepares graduates for dynamic careers in the growing and evolving financial sector through in-depth study of:

• Mathematical Finance
• Portfolio and Risk Management
• Linear Programming
• Financial Econometrics
• Numerical Methods
• Financial Management

Degree Requirements

• Requires students to complete six courses from the below selections with at least two of the following courses: Foundations of Modelling, Statistical Aspects of Modelling, Mathematical Aspects of Modelling, Computational Aspects of Modelling.
• And at least three of the following courses: Mathematical Finance, Portfolio Theory and Risk Management, Financial Econometrics, Linear Programming, Numerical Methods, Financial Management.
• Completion of a research paper
• Seminar presentation

Career-Ready in the Financial Sector

Graduates of this program are uniquely prepared for success in: equity analysis, financial forecasting, investment banking, commercial banking, corporate planning, portfolio management, pension fund management and the broad range of increasing opportunities in the financial sector.

Trent Graduate Studies Learning Environment

Classes take place on Trent’s architecturally-renowned Peterborough Campus with access to leading-edge technology and computational resources. State-of-the-art learning facilities in intimate class settings are enhanced by sweeping views of the Otonabee River. The new “library of the future” in the Bata Research and Innovation Centre and the Trent University Research and Innovation Park currently under development promise opportunities to connect with entrepreneurial initiatives in a nexus for academic and business connections.

Students will experience a combination of independent and collaborative learning experiences.

Courses

Financial Analytics Courses are divided into modules of learning that provide a broad base of knowledge with in-depth analysis and skills development.

• Mathematical Finance (AMOD 5520H)
  Options, Futures, and Other Derivatives
  Stochastic Processes
  Derivative Asset Pricing Models
   
• Portfolio and Risk Management (AMOD 5530H)
  Fixed Income Analysis
  Portfolio Optimization and Capital Asset Pricing
  Analysis and Management
   
• Linear Programming (AMOD 5510H)
  Simplex Method, Duality, and Integer Programming
  Sensitivity Analysis
  Game Theory
   
• Financial Econometrics
  Time Series, Vector Error Correction, and Vector Autoregressive Models
  ARCH/GARCH Models
  Forecasting
   
• Numerical Methods
  Finite Difference Methods
  Multi-Step, Iterative, and Adaptive Methods
  Systems, Stability, and Convergence
   
• Financial Management
  Financial Planning and Control
  Capital Budgeting
  Dividend and Growth Strategies