MS-QCF/MS-CSE Shared Credit Agreement – Two degrees in two years!

The MS in Quantitative and Computational Finance Program and the MS in Computational Science & Engineering Program have entered into a Shared Credit Agreement reducing the number of courses required to earn both degrees from 22 to 18 classes. Advanced studies in computational modeling, high performance computing, data mining and visualization, etc. paired with the MS QCF program makes this a highly employable pairing of degrees in today’s data science-focused finance industry. Students admitted to either program can apply for the Shared Credit Agreement after completion of one semester enrolled. Those admitted through the Shared Credit Agreement will be able to double-count 4 courses between the degree programs for a total of 54 credits for completion in two years.

MS-QCF: A Rigorous Curriculum for Rewarding Results

Learn from a practical regimen designed to give you the tools necessary for a successful professional career. The interdisciplinary QCF curriculum pairs a comprehensive core to give you the foundation you will need with flexible elective options to customize the program to your specific career goals.

Our smaller class size allows more access to our renowned faculty and provides opportunities for practical, "real-world" projects.

QCF Core Curriculum (18 Credit Hours)

The QCF core curriculum is well structured to not only cover the fundamentals needed to understand and model a wide variety of problems in finance, but to allow specialization to build expertise in specific approaches, techniques, and problem areas.

Six core courses make up the QCF core:

  • Finance and Investments
  • Stochastic Processes in Finance I
  • Design and Implementation of Systems in Computational Finance
  • Derivative Securities
  • Fixed Income Securities
  • Numerical Methods in Finance
QCF Capstone Course (3 Credit Hours)

The Practice of QCF is a practicum or project-based capstone course for QCF students. As such, the class is a project-based seminar involving student presentations of papers, methodologies, implementation and results.

QCF Targeted Electives (6 Credit Hours)

Targeted electives are offered to QCF students only, and are tailored to build upon the core curriculum. Students choose two from a selection of three classes (for a total of 6 credit hours):

  • Management of Financial Institutions
  • Financial Optimization
  • Data Mining & Statistical Learning
QCF Free Electives (9 Credit Hours)

Free electives provide the flexibility to design the remainder of your course plan to specialize in areas of greatest interest to you and most relevant to your future career. These free electives may be comprised of graduate courses from any of our prestigious Colleges here at Georgia Tech as long as they are relevant to the degree. Frequently, students will choose free electives in topics such as machine learning, big data in analytics, time series or regression analysis, corporate restructuring, etc.

  • Computational Data Analysis 

  • Statistical Modeling & Regression Analysis 

  • Machine Learning 

  • FinTech Ventures & Cryptocurrencies 

  • High-Performance Computing 

  • Time Series Analysis 

  • Data & Visual Analytics 

  • Advanced Statistical Modeling 

  • Corporate Restructuring 

  • Numerical Linear Algebra 

  • Computational Science & Engineering Algorithms 

  • Entrepreneurial Finance & Private Equity 

  • Modeling & Simulation: Fundamentals & Implementation 

  • Computational Statistics 

  • Deep Learning