WorldQuant University
Not-for-profit data science university From Wikipedia, the free encyclopedia
WorldQuant University (WQU) is a U.S. accredited[1] not-for-profit online university. Its programs are entirely-free. As of March 2025, WQU has graduated over 1500 students from the Master of Science in Financial Engineering program and conferred credentials from their Lab offerings to more than 4,000 learners from over 150 countries.[2]
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Other name | WQU |
|---|---|
| Motto | "Talent is equally distributed globally, but opportunity is not" |
| Type | Private (non-profit), distance education university |
| Established | 2015 |
| Accreditation | DEAC |
| Affiliation | Distance Education Accreditation Commission |
| Students | 16000+ |
| Location | , |
| Campus | Online |
| Language | English |
| Website | www |
Overview
Summarize
Perspective
WorldQuant University was founded by Igor Tulchinsky[3][4][5] in 2015[2] on the premise that talent is equally distributed but opportunity is not. The University is funded by the WorldQuant Foundation.[6] After being licensed by the Louisiana Board of Regents, the Foundation launched WQU in 2015 enrolling several hundred students in a free, online Master's degree in Quantitative Finance.[6] As its first president, Sarah McCue, PhD, conceptualized and led the launch of WQU's financial engineering Master's Degree.
Daphne Kis, who had served on the University's Advisory Board,[7][8] was brought on as CEO and Board Director in 2017.[6] In 2023, Ms. Kis transitioned from CEO to President. John Endrud, formerly of Collegis Education, was brought in as CEO.
In late 2016, the university was awarded the 2016 Dive Award: Startup of the Year by the publication Education Dive.[9] By June 2017, it had enrolled 700 students from 40 countries.[8][7] In 2021, WQU was accredited by the Distance Education Accrediting Commission (DEAC). Through WorldQuant, it is a Strategic Partner of the Milken Institute and the World Economic Forum (WEF).[10]
Relationship to WorldQuant, LLC
Igor Tulchinsky, Founder, Chairman, and CEO of WorldQuant, LLC, established the WorldQuant Foundation, which sponsors WorldQuant University.
Advisory board
WorldQuant University’s Advisory Board is a group of prominent leaders in the finance, business, and education sectors who function as advocates and advisors. Active members provide support regarding educational requirements, professional preparation, and overall workplace development to WQU leadership.
WQU’s Advisory Board meets on a regular basis. Members of the Advisory Board include Linda Ban, Lydiah Kemunto Bosire, Lenore Blum, Marc Carletti, Bruno Dupire, Esther Dyson, Paul Tudor Jones, Ann Kirschner, Alex Lipton, Christopher Mason, Mel Ochoa, David Shrier, and Susan Wolford.
Academics
Summarize
Perspective
WorldQuant University currently offers an entirely-free, two-year Master of Science in Financial Engineering (MScFE) degree program and free, self-paced credentialed offerings in the Applied Data Science Lab and Applied AI Lab: Deep Learning for Computer Vision. Successful completion of the former results in the student earning an accredited Master's degree; upon completion of the labs, students attain a shareable Credly certification.
Accreditation
WorldQuant University is accredited in all 50 states by the Distance Education Accrediting Commission (DEAC), a United States Department of Education authorized accreditor.[11][12] The State Authorization Reciprocity Agreement (NC-SARA) has also approved WQU to offer its online education programs to students in 49 US states, the District of Columbia, and US territories. The University also enrolls students in California under a non-profit exemption.
MSc in Financial Engineering
WorldQuant University's entirely-free, accredited, online MSc in Financial Engineering Program integrates mathematical, statistical, and computer science tools with finance theory and professional business skills. The two-year program consists of nine graduate-level courses and a Capstone course during which students complete a culminating project. Course topics span financial markets, data feeds, and computational finance, among other subjects.[13]
Applied Data Science Lab
The Applied Data Science Lab is a free, credentialed offering where students use data analysis to solve real-world meaningful, and complex problems.
During this self-paced course, students complete eight projects that range from exploring housing prices in Mexico to predicting air quality in Kenya. They work with publicly available datasets, upon which they can develop larger portfolio projects. Students receive real-time feedback as well as opportunities to collaborate with their peers and to participate in live office hours with their instructor.
Applied AI Lab: Deep Learning for Computer Vision
The Applied AI Lab: Deep Learning for Computer Vision is a free, credentialed offering where students use impactful application of deep learning to interpret complex visual data.
During this self-paced course, students complete six projects ranging from facial recognition of celebrities in India to medical data analysis in Spain. Those who participate in this program learn to clean and transform visual, as well as training custom computer vision models. Students receive real-time feedback and have the opportunity to collaborate with peers and participate in live office hours.
See also
References
External links
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