Master of Science in Computational Finance (MSCF) at Carnegie Mellon University

Master of Science in Computational Finance (MSCF) at Carnegie Mellon University

Established
1994
Type
Full-Time
Tuition
$85,680 - Partial Merit Scholarships Available
Application deadline
Round1: December 10, 2019 | Round 2: March 15, 2020
Location
New York, NY or Pittsburgh, PA
Overview
The Master of Science in Computational Finance (MSCF) program at Carnegie Mellon University is a 16-month financial engineering degree developed through the joint venture of four Carnegie Mellon colleges - Department of Mathematical Sciences, Department of Statistics and Data Science, Heinz College of Information Systems and Public Policy and the Tepper School of Business.

Recognized as the first financial engineering program of its kind, we offer an integrated curriculum that will prepare you with the skills necessary for the evolving financial industry. MSCF alumni attribute their success to our commitment to dedicated faculty, relevant curriculum and a full-service career center. Our staff is committed to helping you succeed by responding to inquiries, enhancing the student community and making you feel at home during your time in our program.


Careers – December 2018 Graduates (Class of 2019)
There is no common standard for reporting placement information among professional financial engineering master’s programs, and the reports of such programs are not audited. MSCF is administered by the Tepper School of Business, and we follow the rigorous business school standards set by the MBA Career Services & Employer Alliance for specialty master’s programs; see mbacsea.org/standards.
  • $103,890 mean base salary (excludes bonuses)
  • 100% of full-time MSCF students obtained summer 2018 internships
  • 98% of full-time MSCF students received full-time offers within three months of graduation
  • 100% of December 2019 graduates obtained summer 2019 internships
For more information, visit MSCF Careers & check out our Alumni Profiles. You can also find our Class of 2019 Employment Report here.

Fall 2019 Entering Class Profile
  • Total Full-Time Students: 98 (New York – 50; Pittsburgh campus – 48)
  • Selectivity/Acceptance Rate: 20%
  • Average GMAT: 746
  • Average Quant GRE: 169
  • Average Verbal GRE: 159
  • Average GPA: 3.79
  • Female: 32%
For more information, view the our Class Profile.

Apply to MSCF
The MSCF program offers 2 application deadlines for the Fall 2020 entering class: December 10, 2019 and March 15, 2020. Applications are reviewed in batches and released in accordance with our posted application dates.

For more information on the application process, required materials and deadlines, visit the MSCF admissions page.

Learn More
Sign up to receive valuable free resources about the MSCF program and stay up-to-date on MSCF news and events.

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CMU MSCF
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Rating
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Latest reviews

After working for a few years in the financial industry, I was looking for a master’s program that could teach me the quantitative tools required to advance in this field. I recently graduated from the MSCF program in December 2019, and I am not disappointed to have chosen this degree. The program helped me develop the skill sets and industry connections required to succeed in the ever-changing and increasingly complex financial industry. I found all the support I needed to succeed, both in terms of academics and career development. The program has a great team of dedicated professors, career and academic counselors, classmates and student clubs. As the previous reviews mention, the program is worth the time and money invested in it.
I graduated from MSCF in December 2019, and I highly recommend anyone who's considering an MFE program to apply for MSCF.

My favorite thing about MSCF is the curriculum. During my summer internship, I truly was using everything I learned in class. The curriculum is always up to date and practical to ensure the students' success in their careers. In addition, the career service is exceptional. The staff will do everything to help you secure a job.

MSCF is also highly selective so you'll take classes with some of the smartest and brightest students from all over the world. It takes a lot of effort to succeed in the program, but by the time you graduate, you'll be 100% prepared for your career and build friendships that will last life time!
After gaining a few years of working experience in accounting and business valuation, I decided to switch my career to quantitative. Joining MSCF is one of the best choices that I ever made.
This is a totally new field for me. Before the program, I thought I learned enough for finance, which turned out to be not true. There is a lot more to learn in the program. MSCF provides a wide range of subjects to every student and prepares students well in academics for their careers. MSCF also adjusts the curriculum to meet the needs of the industries, such as multiple machine learning courses are in the curriculum.
MSCF career services are also extraordinary, comparing to some other schools' programs from what I observed.
Even the tuition is a bit higher, MSCF is totally worthy, considering the value I got from this program.
I just graduated from the MSCF Pittsburgh campus in December 2019. I went straight from my undergraduate study to this program. Having an engineering undergraduate background, I am very grateful to have joined the program. I did not have any experience in finance, financial mathematics and economic study at all. This program well-exposed me to these areas and well-prepared me to find a quant job on the investment banking side. The program's focus on presentation and communication classes help me stand out in my internship program.
Having worked for a few years after my undergraduate degree, going back for my Masters felt like a huge investment. I was giving up my career, current salary, and on top of that would be paying rent and tuition. I knew that if I was going to switch careers and give up everything I was making now that I would not settle for the best program and school. I was looking to maximize my return.

I quickly realized that CMU's MSCF program offered the best focus on career services while integrating industry relevant education in the coursework. It was evident from the breadth of information and transparency about their employment statistics that I could ensure this switch would work out net positive for me. I'm incredibly happy that I ended up at MSCF and feel that the investment has already paid off two-fold.
I graduated from MSCF in December 2019. The best part about MSCF at CMU is that they value student feedback and make changes to the curriculum every year. MSCF steering committee and the faculty are always in touch with industry practitioners.
Recent grad grateful to have chosen CMU. This program is fantastic on account of the caliber of student across both Pittsburgh and New York campuses. As someone with a more entrepreneurial and less quant/finance background coming in, I understood how effective teams depend on a diverse set of skills often coming from different people. As part of this program, I had the opportunity to work with an incredible number of highly intelligent and motivated young professionals. Not only did that make group projects very enjoyable, but it also opened up the possibility for collaboration on projects outside of class as well. For example, two colleagues and I applied some of the material learned in our Machine Learning course to a crypto trading project, which has produced interesting results! To add to it, this program has a fantastic Machine Learning curricula. 1) Because along with Stanford, Berkeley and MIT you are at a center of AI and Machine Learning itself 2) Professor G'Sell is amazing and helps transition students from very limited knowledge of ML to interesting applications with more serious treatment of the material and programs.
I graduated MSCF in December 2018. I had a tremendous experience at Carnegie Mellon and thank classmates, teachers, counselors, and administrators for making my schooling memorable.

Before going into the top ranked program, I was expecting excellent teachers and career services. My expectations were exceeded, and I can confidently say this program is worth every penny. Beyond my expectations, I further found that the academic advisors and administrators provided a feeling of home by offering in depth and personalized guidance, passion for each individual's journey, and an environment to breed success.

I have attained my dream job through the program and strongly suggest undergraduates and early career professionals to consider the opportunities MSCF can provide.
I graduated from the MSCF program in December 2018 and I was on the NYC campus. My experience with the MSCF program was very positive. I joined the program hoping to gain more quantitative knowledge and technical skills to peruse a career in a pure quant filed, and I’m now working as a Data Scientist in Silicon Valley.


Background: I graduated from the UC system with BS degrees in Business and Statistics, and directly joined the program without full-time experience. I had a variety of internship experience in financial services, such as commercial banking, brokerage and risk consulting.

Curriculum: The program curriculum can be split into four branches: financial mathematics, Statistics and Machine Learning, Computer Science, and Finance and Business. This curriculum is very updated to reflect the change in the financial industry and it aims to equip MSCF students with not only quantitative skills but also soft skills such as communication and presentation.

Career Service: Each campus has their assigned career counselors who are available for 1-on-1 appointment for resume editing, mock interviews, and general career guidance. In addition, the MSCF program offers many career opportunities through on-campus interviews, which are exclusive to MSCF students. The program also helps students to connect with alumni, which adds more career opportunities.

Personal Experience:
1. The Staff on campus really cares for every student. Going through this program is very stressful: hard classes, heavy workload, pressure for finding jobs, etc. It is very helpful that there are people there to help you with any issue you have, either on an academic level or personal level.
2. Due to lack to strong math foundation, I was having a very hard time during both stochastic calculus classes. My professors and academic advisor noticed the problem and offered me weekly tutoring sessions with a department Ph.D. candidate free of charge. Moreover, almost every difficult class has tutoring sessions offered by the TA. This program is really trying to help us succeed.
3. The program takes students and alumni opinion very seriously. There are multiple Town Hall meetings where you can go to make your voice heard about any issues you have with the program, and MSCF also updates its curriculum based on alumni feedback after every year.
4. The broad curriculum of the MSCF really makes it possible for its graduates to peruse a career outside of quant finance. For me, what’s covered in Data Science and Machine Learning classes, together with the strong CS classes, was good enough for me to land a job in tech.

All in all, the MSCF program really is a program that cares and tries its best to help students to be successful. I highly recommend it.
As an experienced student who just graduated, I love this program and enjoyed every minute of it very much. I got enrolled as a part-time student with years of experience as a quant in the financial industry. However, I still found the program very informative and it broadened my knowledge horizon with up-to-date materials and topics taught in the classes. The course design is always trying to catch if not lead the trend of this industry. I felt it very worthy to go back to school for this program after so many years of profession.

I have also learned and harvested a lot from the people of this program. Professors and other faculties do care about each of the students. They know each of our names, backgrounds, and to some extent, personalities. Professors and academic faculties spare no efforts on teaching, trying to prepare us as much as possible, while the career service faculties do whatever they can to help students locate their ideal positions. I am very grateful to them for their endless commitment. Also, I really feel amazed at the resources this program provided. I got my internship from a start-up by one of our alumni, and a full-time job offer from another one too!

Peer classmates are even more lovely. Each of the ~100 students has his/her own strengths worthy of appreciation. This brought pretty much fun when we worked on group projects/homework. What could be more touching to you when your team members provided to back you up and encouraged you when they knew you had a job interview tomorrow? I think that is the partial reason why in this highly competitive industry, MSCF network could stay strong and last for long.
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