overview
overview

 

New Course-Based MSc Streams in Financial Analytics and Big Data Analytics

Our new course-based streams were approved by Senate in November 2015, complementing our existing thesis-based stream. Course based students will be able to enrol full time or part time, with a September start date.  Thesis base students are able to enrol full time or part time, with start dates at the beginning of every academic term (September, January, May).

Requirements for the Financial Analytics Stream:

  • two courses from the following selection: Foundations of Modelling, Statistical Aspects of Modelling, Mathematical Aspects of Modelling, Computational Aspects of Modelling
  • four courses from the following selection: Mathematical Finance, Portfolio Theory and Risk Management, Financial Econometrics, Linear Programming, Numerical Methods, Financial Management
  • completion of a research paper
  • seminar presentation

Requirements for the Big Data Analytics Stream:

  • three courses from the following selection: Foundations of Modelling, Statistical Aspects of Modelling, Mathematical Aspects of Modelling, Computational Aspects of Modelling, Introduction to Data Analytics with R
  • four courses from the following selection: Data Visualization, High Performance Computing, Data Mining, Introduction to Databases, Big Data
  • completion of a research paper
  • seminar presentation

For more information, please email amod@trentu.ca

AMOD Overview

Applied Modelling and Quantitative Methods
is an interdisciplinary program which provides for study towards an M.Sc. or M.A. degree in the application of techniques and theory of modelling in the natural sciences and social sciences. It encompasses the following traditional disciplines: Biology, Business Administration, Chemistry, Computer Science, Economics, Geography, Humanities, Mathematics, Philosophy, Physics & Astronomy, and Psychology. The program is designed to overcome some of the barriers to interdisciplinary collaboration by bringing together, at the graduate level, students who are actively applying modelling techniques in their thesis research in a broad range of disciplines. The research is in the social and natural sciences, and in fields in which Trent has demonstrated strong research performance. Although it is oriented towards quantitative models, utilizing computational, mathematical or statistical techniques, it is discipline-based and is not a program in applied mathematics.

There are three primary objectives:

  1. The teaching of fundamental and common analytical modelling techniques required for research in a large number of quantitative fields.
  2. The cross-fertilization that comes from sharing ideas with researchers in other disciplines, and the development of the communication skills required for this to occur.
  3. Sufficient training of the student in his/ her chosen discipline, including coursework and a research thesis, to permit progression to a disciplinary Ph.D. program at another institution.

For the thesis-based stream, students are involved both in thesis research and course work in their "home" discipline, and in interdisciplinary study. They carry out coursework in the foundations and methods of quantitative modelling and participate in an interdisciplinary seminar. In this seminar, the student discusses, in a way comprehensible to the audience, the system being modelled, the model developed, and the means of validation of the model; here the emphasis is upon the modelling process itself rather than on the relevance of the results to the discipline of the research. Through this seminar, the students develop the skills required to communicate with researchers outside their own discipline, and develop a perspective on their own and other disciplines not obtainable from within a single-discipline context.