

Master of Science in Computational Finance
- Private University
Tepper School of Business
Master of Science in Computational Finance at Carnegie Mellon University Overview
The Carnegie Mellon University offers a really good Master of Science in Computational Finance program at the PG level, which lasts for 2 years. To get admission to the program, students must meet the requirements for the course which include having a valid score on tests like IELTS, TOEFL, GMAT and GRE. The Carnegie Mellon University tuition fee for the first year of the Master of Science in Computational Finance is USD 58,800. Also, the students should budget well for living expenses, which has:
- Accommodation (rent or hostel)
- Food
- Books
- Other important utilities
Duration | 1.5 - 2 years |
Tuition & Fees | ₹58.92 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science in Computational Finance at Carnegie Mellon University Fees
The Carnegie Mellon University Master of Science in Computational Finance fees includes first year tuition fee and cost of living for international students. The first-year tuition fee is around USD 58,800. In addition to tuition costs, international students must manage their living expenses such as housing, food, and other utilities, which contribute to the total cost of living, estimated at USD 18,272. The Carnegie Mellon University cost varies depending on the additional cost.
Refer to the table below for a detailed fee breakup of the Carnegie Mellon University Master of Science in Computational Finance.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 58,91,672 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 16,21,275 |
| Insurance | INR 2,68,053 |
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Master of Science in Computational Finance at Carnegie Mellon University Entry Requirements
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- Applicant must hold a four-year bachelor’s degree from an accredited college or university in the U.S. or an equivalent degree from a foreign country prior to the start of the program
- Prerequisites:
- Calculus I and II
- Linear algebra
- Calculus-based probability
- Object-oriented programming course (such as C++, Python, Java or C#)
- Applicants with a deficiency in one of these areas will be considered provided proper remediation is completed before enrollment

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- The Universities' Heinz College occasionally admit students to the program with condition(s) placed on their enrollment. A condition will be clearly stated within the admission offer letter.
Master of Science in Computational Finance at Carnegie Mellon University Application Process
- Upload legible scanned/digitized copies of official transcripts and degree certificates. If the transcript is in a language other than English, an official translation must also be included from World Education Services (WES) Standards
- Proof or ELP scores
- Proof of GRE or GMAT score (Required)
- A statement indicating that the primary language of instruction was English should be listed on the academic documents
Master of Science in Computational Finance at Carnegie Mellon University Rankings
| Rank | Rank Publisher |
|---|---|
| #4 | |
| #6 | |
| #12 |
Master of Science in Computational Finance at Carnegie Mellon University Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes, Students will learn about the inner workings of the financial markets through their summer internship. Over the last five years, 98% of university students have obtained internships |
Carnegie Mellon UniversityStudents Ratings & Reviews
- 27% students never faced discrimination in this university
Master of Science in Computational Finance at Carnegie Mellon University Highlights
- The MSCF curriculum is constantly changing to meet the needs of the financial markets
- MSCF's highly-integrated, interdisciplinary curriculum is well-balanced between theory and practice
- A five-course sequence covers a comprehensive range of topics from data science, including machine learning and statistical methods, all tailored to the challenges of dealing with financial data
Master of Science in Computational Finance at Carnegie Mellon University Scholarships
Class Profile
| Average class profile for this course | |
|---|---|
| Bachelors GPA / Percentage | 3.79 |
| GMAT Score Average | 746 |
| Percentage of International Students | 83 |
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Master of Science in Computational Finance at Carnegie Mellon University Contact Information
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)

