One of the following 12-unit courses can be taken to replace 12 units of MSCF electives as an approved substitute. Students can also request that other CMU courses be used as approved substitutes. These requests must be approved by the designated Steering Committee member to count as approved substitutes.

Students should note that CMU Elective courses are not taught by the MSCF program, and are not under the program's control and (1) may not be offered in a remote format, making them unavailable to students at the New York City location; (2) are subject to enrollment limits that may preclude MSCF students from taking them; (3) could be unavailable because of a schedule conflict with required MSCF courses; (4) will conform to the standard University calendar which can differ from the MSCF calendar, especially around the times of final exams; (5) must be taken for a letter grade.

Approved Substitute CMU Electives:

• 10-605, Machine Learning with Large Datasets
• 10-703, Deep Reinforcement Learning and Control
• 11-611, Natural Language Processing
• 11-785, Introduction to Deep Learning

Read More Academic FAQS

Understanding the robust market information provided through the Bloomberg terminals is vital for success in the quant finance industry. The Bloomberg Market Concepts certification prepares you for your internship and helps translate your classroom learning to the real-world.

The summer internship provides an opportunity to experience the inner workings of the financial markets and apply the skills learned in your first year of the program. Recruiter interest in our students is strong and our career counselors will work closely with you to assist you in the internship search.

This second-year course focuses on solving risk management and trading problems and the process for selling derivative deals. The highlight of the MSCF Studies in Financial Engineering is a series of in-class team case presentations for practicing client pitches on complicated financial products.

Focused exclusively on data science and machine learning, the MSCF Capstone builds on the five-course data science curriculum during the first year of the program. As a second-year MSCF student, you will implement various data and statistical methods to address a real-world challenge at a financial firm.

Joining the MSCF Trading Club will give you access to up-to-date financial market knowledge and the opportunity to participate in a series of financial market seminars and simulated trading sessions. For more information, visit our Student Experience page.

The MSCF Speaker Series features presentations from industry practitioners on various quant finance topics including applications, products, and market challenges. It is an invaluable opportunity to gain first-hand industry knowledge and learn about unique experiences and perspectives from quant finance veterans.

For the MSCF Virtual Pitching Event, you will collaborate with a team of fellow students to develop a stock opportunity and present it to MSCF alumni for feedback and recommendations. The pitching event is just one of several opportunities MSCF students have to interact with MSCF alums.