Prepare for a Future in the Data Sciences
Our rigorous degree Master's Program and continuing education Module prepare capable students for distinguished careers in research, strategy, trading, and technology.
Amplify your current position or open up a new world of exciting career opportunities.
Our Offerings are Online and Entirely Free
The mission of WorldQuant University is to make advanced, quality education accessible to capable students everywhere by leveraging technology at scale to deliver entirely free online programs.
Education is most effective when educators, employers, and students work together to create pathways for mutual success. Technology makes advanced learning locally available across geographies and enhances outcomes by connecting capable candidates and prospective employers.
Which Offering is Right For Me?
Master of Science in Financial Engineering (MScFE)
Proof of English proficiency
Passing score on Quantitative Proficiency Test
Financial Engineering is a multidisciplinary field that combines financial theory, mathematics applications, engineering methods, and programming practices. Financial engineers apply mathematical and quantitative methods to financial problems.
Our fully accredited, two-year online program offers nine instructor-guided courses and a Capstone project with a unique emphasis on applied learning and collaboration. By working together to solve real-world problems, our students not only master essential skills but also learn how to work effectively in real-world settings.
Our students master the skills that modern employers demand, from Python and machine learning to econometric modeling.
Applied Data Science Module
Passing score on skills quiz
WQU’s Applied Data Science Module is entirely free and includes access to a ready-to-use Python environment.
The Module consists of two eight-week units and equips students with 21st century data science and analytics skills that are critical for high demand jobs across industries.
In Unit I, students gain a comprehensive introduction to scientific computing, Python, and the related tools data scientists use to succeed in their work.
In Unit II, students utilize the tools from Unit I to engage in statistical analysis with real-world data.
Grow your skills today without leaving your home or incurring burdensome debt.
“The modern marketer, the new human resources professional, the
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