Once you get accepted into the MSc in Financial Engineering program or the Introduction to Data Science module, you will be given the credentials and instructions for logging into the learning platform, where you can access the courses online.
WQU is currently licensed only in the State of Louisiana. Licensure does not constitute accreditation, guarantee the transferability of credit, or signify that programs are certifiable by any professional agency or organization.
Accreditation is a multi-year process of peer review and evaluation. As part of its conditional approval by the State of Louisiana, WQU is working toward accreditation through a US Department of Education-recognized accreditor.
The designated institution code for WorldQuant University is B325. Including this code upon registration allows the organization providing the test to make the results digitally available to our admissions team.
A bachelor’s degree or an equivalent 4-year degree is the minimum academic requirement for admission into the MSc in Financial Engineering program at WQU. If you do not have a bachelor’s degree and are not sure if your credential/degree/certification is considered equivalent to a bachelor’s degree, you can get it evaluated by World Education Services (WES) and provide WQU with your transcripts as well as proof of the evaluation.
Here's an overview of the admission requirements for the MSc in Financial Engineering program at WQU:
Passing score on eligibility quiz
Completed Online Application
Transcripts for all previously earned college/university degrees (bachelor's degree or equivalent 4-year degree required)
Passing score on numeracy, statistics, and calculus proficiency test
TOEFL, IELTS, or PTE exam scores* / English proficiency test
*The Test of English as a Foreign Language (TOEFL), the International English Language Testing System (IELTS), or the Pearson Test of English (PTE) is required of applicants whose native language is not English. The only exception is for applicants who have earned a degree at an institution where the language of instruction is English.
Applicants who are required to submit TOEFL, IELTS, or PTE test scores as proof of their English proficiency are responsible to cover the fees associated with these tests. Once accepted into the program, there are no other costs or fees.
In order to graduate from WQU, students must have earned a total of 42 credit hours. According to our transfer of credit policy, students can transfer up to 21 credit hours from previously completed coursework. For an overview of this policy and other graduation requirements, please have a look at the WQU Catalog.
As part of the online application, you must submit scanned copies of your transcripts from all previously earned college or university degrees in order to verify that your previously earned degree(s) meet the academic requirements for admission.
Upon acceptance into our MSc in Financial Engineering program, you are required to submit official transcripts for all previously earned college or university degrees. There are two ways you can submit your official transcripts:
via postal mail, in a sealed envelope and signed by the appropriate university official
digital transcripts, which should be sent to [email protected] along with the associated verification instructions and/or code.
In both cases, official transcripts must include the official grading scale of the academic institution and be submitted directly from the university attended to the WQU Admissions Office.
Official transcripts must be received by WQUprior to the completion of the fourth course session of enrollment. We highly recommend that you request official transcripts from your previous colleges and universities immediately upon acceptance.
If your transcript is in a language other than English, an official translation must be included.
WQU accepts new students into the MSc in Financial Engineering program seven times a year. Students can begin their studies on the closest academic session start date following the acceptance of their application. We recommend submitting an application ca. 6 weeks prior to the desired start date. For an overview of our academic calendar, please visit our Program page.
Financial engineering applies mathematical and quantitative methods to financial problems. This multidisciplinary field combines financial theory, mathematics applications, engineering methods, and programming practices.
It is an emerging field, and is increasingly in demand. Financial innovation is driving demand for the rigorous analytic capabilities and training of financial engineers.
Financial engineers pursue professional roles as quantitative researchers, quantitative developers, quantitative traders, algorithmic traders, and portfolio managers for financial institutions. Those who focus on public policy often work for governments developing state and federal financial policies or conducting research at think tanks.
You will need access to a computer and a high-speed internet connection in order to participate in the online courses. For proctored exams, you will also need a webcam.
You can access the program contents from any web-enabled computer. There are no necessary plug-ins. You do not have to use the same computer to log into the program every time. We recommend that you have a word-processing program (Microsoft Word is best) and the latest version of Internet Explorer, Google Chrome, Safari, or Firefox.
Students take one course at a time, in a designated sequence. Each course is taken over a seven-week period. There is a one-week break between courses, except at the end of the academic year when the break is longer. Each course is organized into week-long modules. The content for each module is released on a Tuesday (Day 1) and ends with a weekly live lecture on the following Monday (Day 7).
You must obtain a final grade of 70% or greater to successfully pass a course. Upon successful completion of a course, you can self-enroll in the next course. If you do not earn a passing grade for a course, you may retake that course. Each course is a prerequisite to the following course. You can see the complete list of courses in order here.
Students who meet all of the graduation requirements will receive a diploma. Once the graduation requirements have been verified, the student will be notified via email and the diploma will be made available.
The MScFE program is offered quarterly, so there are four start dates per year. Students take one course at a time in a prescribed sequence. New students can begin training at the closest start date following the acceptance of their application. Our current course schedule is shown on our Program page.
HNDs are not considered equivalent to a 4-year bachelor’s degree, which is the minimum academic requirement for admission into the MSc in Financial Engineering program at WQU. If you are not sure if your diploma/degree/certification is considered equivalent to a bachelor’s degree, you can get it evaluated by World Education Services (WES). If WES determines that your qualifications are equivalent to a bachelor’s degree, your application can be considered for acceptance if you provide WQU with proof of the WES evaluation.
Students can receive transfer credit for up to 50% of the courses in the MSc in Financial Engineering program (7 courses, which equals 21 total credits).
If you have previously completed similar graduate-level coursework, you might be eligible for transfer credit. We recommend that you apply for transfer credit before enrolling at WQU. Your request will be evaluated by the Academic Dean and you will be notified of the decision. Once approved, you will be issued an Enrollment Agreement.
For more details on the transfer of credit policy at WQU, please check out our Catalog.
You are welcome to apply for the Introduction to Data Science module. However, keep in mind that this course will require a significant time investment in addition to your MSc studies. Furthermore, this course is not a graduate level course and does not award credit. Students enrolled in the MSc in Financial Engineering program who are advanced in their studies may find a significant portion of the course to be review.
The Introduction to Data Science module and the MScFE program are two independent offerings. Admissions for each program are handled separately, and admission or completion of either program does not guarantee admission into the other.
The Introduction to Data Science module is an 8-week continuing education unit. To qualify, you must have experience with algebraic concepts such as functions and variables, which are frequently used in programming. Preference is given to applicants with familiarity in programming fundamentals, basic statistics, linear algebra, and calculus.
No. As a continuing education unit, the module does not require you to have any prior degrees - just the algebraic experience necessary to handle the material. In short, you must have experience with algebraic concepts such as functions and variables, which are frequently used in programming. Preference is given to applicants with familiarity in programming fundamentals, basic statistics, linear algebra, and calculus.
All assignments must be completed within the eight-week duration of the course. However, students are free to review the video lectures and complete the assignments at their own pace within those eight weeks.
Assignments are automatically evaluated, providing students instant feedback in the form of a score. While students will not receive a grade for the course, students are required to complete all assignments for certification, and students who achieve particularly high scores will receive a distinction on their certificate.
The core of the module is an interactive learning platform where students access learning materials and complete their assignments. Two live lectures are delivered each week and are available on YouTube for those who cannot attend. On the discussion board, students can ask questions and communicate with fellow participants and instructors. Most frequently asked questions and concerns serve as the basis of of twice weekly virtual office hours, which are also available on YouTube for those who cannot join in real-time or who wish to further review the material covered.
In addition to viewing the lecture videos, students should expect to spend between two and six hours per week to complete the assignments and engage in individual study. Average class participation level is expected to be roughly 8 to 10 hours per week.
Be an active participant and organize your time. Prioritize your tasks assignments each week by allocating time slots in your diary or calendar. For work that requires a lot of concentration, schedule multiple short slots in the week to help you avoid cramming and give your brain a chance to absorb and retain the information. Take advantage of the discussion board and communicate with other students and your instructors.
Other than that which is incidental, WorldQuant, LLC cannot derive any private benefit from WQU. In accordance with representations made to the US Internal Revenue Service, WorldQuant, LLC cannot hire any WQU students or graduates until at least 12 months after the student left or graduated from WQU.