Inspiring Student - Tianyi Liu
MQF is such a great program. It's a good combination of studying, researching, and finding a job - doing an internship.
A graduate of Waterloo’s undergraduate mathematical finance program, Tianyi was a natural fit for the Master of Quantitative Finance program. He knew many of his professors, and appreciated the computing facilities and the support of his department.
Tianyi found that more was expected of him as a graduate student. “As an undergrad, you take courses. You are just expected to know the stuff. But as a graduate student, it’s quite different. You need to know the ins and outs of things, and they test you quite rigorously in exams, and you’re expected to do research. It’s much more difficult, but much more rewarding, I would say.”
Numeric Computation for Financial Modelling was Tianyi’s favourite MQF course because it was useful preparation for his work in the industry. “It took the theory and grouped it with programming and all sorts of complexity analysis and asks you to get your hands dirty and do all these things.”
Tianyi appreciated the industry knowledge gained during his internship. He now has a better understanding of what’s popular in the field and the work people are actually doing. He also saw first-hand just how small the finance world is, and learned the importance of making personal connections to open doors.
The internship experience even helped Tianyi with his course work during the final term of his MQF program. “It’s really nice exposure to do an internship while you’re still at school, and come back and reflect on it.”
The MQF students are interviewing for full-time jobs as they wrap up their studies. Some have accepted offers to stay with their internship group, while others are exploring different opportunities in quantitative finance. Tianyi believes they’re ready. “MQF gave me excellent preparation; knowledge-wise and skill-wise.”
Based in the Department of Statistics and Actuarial Science, this program is built upon the Finance program established in 1995 by founding director, renowned researcher Phelim P. Boyle.
The Master of Quantitative Finance (MQF) program focuses on the fundamental disciplines of mathematics, statistics, econometrics, machine learning, computer science and finance. It provides the analytical tools to solve practical problems in the complex and rapidly evolving world of today's financial industry.
Graduates from the Master of Quantitative Finance are equipped for positions with financial institutions, corporations and government regulatory organizations.
- Financial Engineers in model vetting and risk compliance
- Analysts in portfolio credit risk, market risk, investment banking and auditing
- Asset Managers and Portfolio Managers
- a range of positions requiring advanced skills in quantitative finance
What you will study
This option is appropriate for students who are interested in research and/or pursuing a PhD. In addition to the thesis, this option requires a minimum of four courses including Finance 1 and 2 and two other courses selected in consultation with their faculty advisor. Students elect to do the thesis option during their first term in the program, when they also must choose an advisor.
Students will be required to submit a thesis proposal by the end of their second term of study. Eligibility for the thesis option is subject to approval of the thesis proposal by the Graduate Chair of the Department of Statistics and Actuarial Science.
Research paper option
- ACC 770/ACTSC 970: Finance 1 – Foundations of Finance (no-arbitrage theory in
discrete time, risk management, portfolio selection.)
- STAT 901: Theory of Probability 1 (measure theoretic probability)
- STAT 850: Estimation and Hypothesis Testing
- ACC 771/ACTSC 971: Finance 2 – Asset Pricing, Financial Applications of Machine Learning, Theory and Practice (continuous-time finance, interest rate models)
- STAT 902: Theory of Probability 2 (stochastic calculus)
- Elective Course
- Mandatory internship, possibily in the financial industry
- ACC 772/ACTSC 972: Finance 3 – Current Topics in Finance
- STAT/ACTSC 974: Financial Econometrics
- STAT 906: Computer Intensive Methods for Stochastic Models in Finance
Additional information regarding the MQF degree requirements are noted in the Graduate Studies Calendar. More detailed course descriptions can be found at:
Academic background requirements
Students from various disciplines are invited to apply for admission. Successful applicants have had backgrounds in quantitative fields such as actuarial science, computer science, economics, engineering, mathematics, physics, and statistics.
GMAT and/or GRE scores are not required since we have our own entrance test.
If you are applying to the Master of Quantitative Finance, then your background should closely match the following:
A four-year honours degree (or equivalent) in a quantitative discipline with at least an 80% average
Strong analytical skills and ability to handle rigorous mathematical analysis
Programming skills: Python, Matlab, R, or C++
Superior verbal and written communication skills
General knowledge of financial markets and economics
Demonstrated interest in current developments in finance
Work or co-op experience is an asset
Our program involves a very high level of mathematical rigour and we expect our students to have a solid background in mathematics. Specifically, applicants should be familiar and comfortable with formal, proof-oriented mathematical reasoning and they should be proficient in all of the following subjects:
- Single and multivariable calculus
- Real analysis
- Linear algebra
- Advanced undergraduate probability
- Advanced undergraduate statistics
Proficiency in these subjects is typically documented through strong grades in corrssponding courses. At the University of Waterloo, these would typically include the courses PMATH 351 (Real Analysis) or PMATH 331 (Applied Real Analysis) as well as STAT 333 (Stochastic Processes 1) and STAT 330 (Mathematical Statistics).
We recommend a working knowledge of at least one programming language such as Python. Other useful languages are VBA, SQL, or C++.
English language proficiency
For students required to meet University English language proficiency certification, the minimum scores required for the Internet-based TOEFL Test (iBT) is a score of 100 with a minimum of 26 in Speaking and Writing. Alternative English test scores are: IELTS (7.5), CAEL (70), PTE (68), Cambridge English (191) and EFAS (80% in 400 level). For additional information, see the English Language Proficiency guideline.
Upload copies of your ELP at the time of application. The Education Testing Service (ETS) uses 0996 as the Institution Code for the University of Waterloo and 01 as Department Codes for Graduate Studies and Postdoctoral Affairs when reporting TOEFL.
The internship is a degree requirement for students in the Research Paper option. It provides students with practical experience in a real-world setting. We provide assistance to students in networking with companies in the financial industry. Our students may be hired by companies in the financial industry including major banks, pension funds, asset managers, insurance companies, and other financial institutions. Many students are offered full-time positions by their internship employers.
The program is well respected by top firms in the financial industry and we have an excellent track record in developing internship placements and career opportunities for graduates.
How to apply
You must apply for admission online.
The application deadline is January 15 each year for September admission. It is recommended that you apply by early December to allow time for referees to respond.
After your online application has been submitted, complete instructions as to how to upload your documents will be emailed to you from the University of Waterloo.
It may take four or five business days before you receive these instructions.
As part of your application, you will be required to provide names and contact information of three referees (two must be academic).
Your referees will be contacted directly by the University after you submit your application.
Documents you will be required to upload:
- Copies of all your university transcripts (including those where you did not complete a degree)
- Completed Supplementary Information Form (you will have access to this from UWaterloo)
- Your résumé
When you access the Supplementary Information Form you will be able to input information, save and return to the form later. After you submit the form, you cannot make changes to your application.
The following are the questions on the Supplementary Information Form:
- List courses relevant to quantitative finance. Include course title, main topics and marks achieved. Typical subject areas: finance, mathematics, statistics, probability, economics, and computing. Since the system does not keep your formatting, you will need to place three or four spaces between each course so it is easier to read (about one or two pages total).
- If you have work experience in the financial area, then provide a brief description including company name, your position, time period, responsibility and duties.
- Describe any activities in which you have been involved that demonstrate your leadership skills.
- List the programming languages (such as R, Matlab, C++, Python, etc.) that you know and the level of skill, for example basic knowledge, intermediate or expert.
- Provide a short statement (about half a page) outlining your interest in the Master of Quantitative Finance (MQF) program. How does the program relate to your past education and experience and your future career goals?
If you experience problems providing document uploads to the University of Waterloo, then the Graduate Studies and Postdoctoral Affairs can help.
Student selection after application
The Master of Quantitative Finance (MQF) admits 20 to 25 students each year. Since we typically receive many applications for the program from qualified individuals, the competition is quite rigorous and standards of admission are high.
- After the January 15 deadline, all applications are reviewed by the admissions committee who look closely at transcripts, supplemental information forms, references, and résumés. The admissions committee is chaired by the Director of the program.
- From this review, a short list of applicants are selected to write the entrance test.
The entrance test is required as part of the admission process.
- More details will be provided to those applicants who are short-listed for the test.
- This is a two hour diagnostic online test with questions on a wide range of topics including: mathematics, statistics, and finance, as well as some other topics relating to the program such as computational skills and career goals.
- The format of the test is a series of multiple choice, short answer and short essay questions involve some problem solving (we do not provide sample tests for study, but you may review our reading list to understand the topics needed for the program).
From those who write the entrance test, another screening is made and selected applicants are then interviewed by the committee. The interview is a mostly quantitative questions, but applicants will be asked about their career goals. For applicants are given the option to meet in person, by telephone, or online (video conference).
A list of topics and resources may be found at recommended reading.
Admission offers are sent to the successful applicants in mid-March.
Fees and financing
For a complete breakdown of fees for full-time graduate study refer to the graduate fee schedule.
The Master of Quantitative Finance (MQF) program research paper option has three academic terms (full time) and one term for an internship. Students begin the program in September and complete the program in December of the following year. The regular schedule is 16 months long.
The thesis option normally requires three to five academic terms to complete. The time required depends upon the research progress of the individual student.
The program does not provide financial support to students.
Other potential sources of financial support available to graduate students are:
- Natural Sciences and Engineering Research Council of Canada (NSERC) postgraduate scholarships
- Limited research assistantships on an ad hoc basis.
- Domestic, thesis students may be eligible for the new Math Domestic Graduate Student Award (Math DGSA)
- Ontario Student Assistance Program (OSAP)
For additional information please contact our scholarship coordinator for the Department of Statistics and Actuarial Science.