Master of Science in Financial Engineering (MScFE)

Learn How to Apply
Completely Online | 100% Free of Cost | Rigorous Focus on Applied Learning

The MScFE program combines programming and data science to meet the future of finance. With a rising interest in financial engineering driven by global innovation, WQU's program prepares students for roles in securities, banking, financial management, consultancies, insurance companies, and more.

Program Highlights:

• Cost: Free

• Duration: Two Years

• Start Date: January 7, 2025

• Applicant Deadline: December 31, 2024

• Commitment: 20-25 Hours/Week

• Credential Awarded: Master of Science in Financial Engineering Degree + Sharable Credly Certification

What You Will Learn: WQU’s MScFE program blends mathematical, statistical, and computer science tools with finance theory. The fully online, collaborative setting helps graduates excel in fast-paced professional environments. The curriculum spans nine graduate-level courses and a Capstone Course. The program includes practical, project-based learning, with a focus on computational, mathematical, and financial modeling.

Why Free? The program is free to support global talent, removing financial barriers to education. It allows qualified students worldwide to advance their careers and develop valuable skills without cost.

Course Structure:

1. Financial Markets (7 weeks)

   • Introduction to financial markets, participants, and regulations.

2. Financial Data (7 weeks)

   • Focus on econometric modeling and financial data analysis.

3. Financial Econometrics (7 weeks)

   • Advanced econometrics techniques in finance.

4. Derivative Pricing (7 weeks)

   • Methods for pricing derivatives in financial markets.

5. Stochastic Modeling (7 weeks)

   • Mathematical models for stochastic processes in finance.

6. Machine Learning in Finance (7 weeks)

   • Application of machine learning techniques in finance.

7. Deep Learning for Finance (7 weeks)

   • Exploring deep learning methods for financial analysis.

8. Portfolio Management (8 weeks)

   • Building and managing investment portfolios.

9. Risk Management (8 weeks)

   • Techniques for managing financial risk.

10. Capstone Course (10 weeks)

    • A culminating project applying all skills learned.

Program Outcomes:

• Computational Skills: Proficiency in Python and machine learning.

• Mathematical Skills: Advanced techniques in probability, linear algebra, and calculus.

• Statistical Skills: Hands-on experience with financial data and econometrics.

• Financial Skills: A toolkit for tackling financial challenges.

• Collaborative & Critical Thinking: Group work and problem-solving.

• Communication Skills: Creating technical and non-technical reports.

How to Apply:
Apply by December 31, 2024 to start the program on January 7, 2025. For more details, visit WorldQuant University MScFE Program.

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