Stand Alone Graduate Diploma in Financial Engineering
Of interest to those with strong quantitative backgrounds in economics, mathematics, statistics, engineering science, or computing, Financial Engineering is a Schulich based Graduate diploma established in cooperation with the Department of Mathematics & Statistics.
Financial Engineering graduates will have the theoretical knowledge and specialized skills necessary to develop new financial instruments and to understand the role of financial instruments in risk management.
Graduates will find career opportunities in the financial industry with banks, investment firms, brokerage houses and other financial institutions as well as risk management departments of large corporations and consulting firms.
The Diploma consists of five master-level half-courses offered by the Schulich School of Business and the Graduate Program of Mathematics & Statistics.
Click schedule on the left to see the projected scheduling of the next offering. As such, the diploma offers a unique opportunity for graduates with relevant degrees to apply their profession to the financial industry sector thus taking advantage of their prior quantitative training.
The required courses are as follows:
Applicants to the Diploma must have a four-year bachelor’s degree from a recognized university, and must have a minimum B average over the last two years of academic study. Applicants’ university study must have prepared them for the highly quantitative and computer-based aspects of the program. Examples of degrees studied that provide appropriate levels of pre-entry knowledge include Mathematics, Computer Science, Engineering, Economics, Chemistry, and Physics. For more information contact MARY AMATI at FNEN@SCHULICH.YORKU.CA.
To apply online click here:
Applicants are expected to have familiarity with financial market/economic concepts. This can be demonstrated by the successful completion of one economics/business course in prior undergraduate studies with a minimum grade of B or by successful completion of the Canadian Securities Course offered by the Canadian Securities Institute (or an equivalent). See Appendix for equivalent programs.
Alternatively the familiarity with financial market/economic concepts can be satisfied by two years work-related experience in a business context dealing specifically with financial market/economic concepts.
Applicants whose first language is not English must submit evidence of English proficiency, with the exception of those who have studied for at least two years at a university in which the language of instruction is English. The Schulich School of Business will accept one of the following tests as evidence of English proficiency.
It is essential that students be able to particiapte fully in class and contribute to small group discussions and analysis, and therefore a test that includes oral proficiency is preferred. The IELT does test oral proficiency. OEFL does not test oral ability, and therefore, applicants may be required to be interviewed in person or by telephone
In special circumstances, admission to Schulich may be conditional upon taking an intensive English language course.
A joint committee composed of faculty members from the Schulich School of Business and the Graduate Program of Mathematics and Statistics will assess admission qualifications.
Students who are enrolled in the Financial Engineering Diploma (Stand Alone) will pay the regular Schulich part-time fee in each of the three terms required to complete the program.
Please refer to the Schulich or Registrar's Office course schedules for finalised course offerings.
* Courses may be interchanged.
FNEN 6210 3.0 – Theory of Portfolio Management
This course deals with portfolios of financial assets such as stocks and bonds. It explores the basic principles underlying rational portfolio choice and what these mean for prices determined in the marketplace. Much of the analysis developed in the course is equally applicable to real assets. The first part of this course is devoted to the problems of decision-makers - how to structure their problems so that they are left with a manageable number of alternatives. The second part of the course deals with rational choice among these alternatives, methods for implementing and controlling the decision process, and equilibrium conditions in the capital markets to which the previous analysis leads. The course takes a rigorous approach to portfolio management and builds upon the use of symbolic and numerical tools. Maple will be used from the very beginning as a computer algebra system and then as a generator of codes in C++ and/or FORTRAN.
FNEN 6810 3.0 - Derivative Securities
FNEN 6850 3.0 – Fixed Income
MATH 6910 3.0 - Stochastic Calculus in Finance
MATH 6911 3.0 - Numerical Methods in Finance
For further information about this program please contact Mary Amati at 416-736-5690; by email at firstname.lastname@example.org or visit Room N211 Seymour Schulich Building. To apply online please visit
Accreditation from a program such as: