Overview
The M.Sc. in Computational Finance at Carnegie Mellon University provides students with a sophisticated foundation in the quantitative and technological skills required by modern financial institutions. This programme bridges the gap between theoretical mathematics and practical financial application, ensuring graduates can navigate complex global markets. Students develop the expertise to build advanced models while gaining the critical insight necessary to interpret data and communicate findings effectively.
Why Computational Finance at Carnegie Mellon University?
Carnegie Mellon University offers a unique environment where technology and finance converge, providing students with access to locations in both Pittsburgh and New York City. The programme is distinguished by its focus on experiential learning and professional development, including a dedicated speaker series and communication development initiatives. Students benefit from a curriculum designed by world-class faculty and strong corporate engagement that connects the classroom to the heart of the financial industry.
Tuition Fee Breakdown
- International fee: USD 69000 per year
- National fee: USD 69000 per year
- Local fee: USD 69000 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Careers with Computational Finance
Graduates are highly sought after for their ability to leverage machine learning and advanced analytics to solve financial challenges. The programme prepares individuals for diverse roles across the global financial landscape, focusing on the technical and strategic needs of investment banks, hedge funds, and asset management firms.
These roles involve developing models to forecast market behaviour, managing investment risks, and using data-driven insights to optimise financial decision-making. The comprehensive training ensures that alumni are ready to meet regulatory requirements and protect institutional assets through robust risk assessment.
Programme Structure
Courses include
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Key information
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Finance Computational Mathematics View 512 other Masters in Finance in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residents69000 USD / year≈ 69000 USD / year - Out-of-State69000 USD / year≈ 69000 USD / year
-
Domestic
Applies to youIn-State69000 USD / year≈ 69000 USD / year
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational Finance.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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