Apply to join the largest MScFE program in the world

 Upon acceptance into the Program, you are required to submit official transcripts, which are sent directly from your former college or university to WQU via postal mail or email. Official transcripts that are not in English will need to be evaluated by a member of NACES and submitted to the University for review. Please refer to the policy in the University Catalog.

Students with undergraduate experience in mathematics and programming have the best rates of success in the Program. Those qualified, interested, and committed from a wide range of fields are encouraged to apply.

The skills listed are not required, but are indicators that you are a good fit for the Program:

Undergraduate degree in a technical discipline such as physics, mathematics, computer science, engineering, or economics

Experience with analyzing datasets

Knowledge of linear algebra, probability, and statistics

Thorough knowledge of Python programming

Experience in other programming languages such as R, C++, Java, etc.

Experience with Discrete Optimization

Relevant work experience in financial management, banking, quantitative trading, algorithmic trading, data analytics, etc.

Take the Quantitative Proficiency Test

Once you have created your account, you'll be prompted to take the Quantitative Proficiency Test to determine your mathematical and statistical proficiency as well as basic Python knowledge. It may take up to two hours and must be completed in one sitting, so make sure you have enough time before you begin. You must earn a minimum passing score of 75% to be eligible for admission.

If you fail the first attempt, you may retake the test after a waiting period of seven (7) days. If you do not pass the test on your second attempt, you are eligible to reapply to the Program following a waiting period of six (6) months from the date of your second attempt.

How can I prepare for the Quantitative Proficiency Test?

The Quantitative Proficiency Test assesses your mathematical and statistical proficiency as well as fundamentals in Python programming and data structures to help determine your eligibility for admission to the MScFE Program.

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Financial Engineering is a multidisciplinary field that combines financial theory, mathematics applications, engineering methods, and programming practices — making the field a good fit for students from a range of backgrounds.

A completed bachelor’s degree

Passing score (75% or above) on Quantitative Proficiency Test

Government-Issued Photo ID (e.g., national ID card, passport, or driver’s license)

Official transcripts from highest college/university degree earned¹ (Bachelor’s degree required)

Proof of English proficiency (Duolingo English Test, TOEFL, IELTS, or PTE scores, etc.)²

Completed online application with all required documents

Applynow