7 Master Degrees in Computational Finance 2024
- Padua, Italy
Full time
2 years
On-Campus
English
Computational Finance in Quantitative methods has deeply transformed the world of finance and insurance. Nowadays, new computational tools and artificial intelligence techniques are bringing revolutionary changes in these sectors. This Master’s degree is a cross-disciplinary program providing solid expertise in computational and quantitative methods applied to the solution of problems in finance and insurance. Students will be able to master the techniques for analyzing, modeling, and managing financial risks, combining knowledge and competencies in economics, mathematics, statistics, and informatics.
- Belgrade, Serbia
Full time
1 year
On-Campus
English
The Master in Computational Finance (MCF) program from the School of Computing (RAF) creates a new type of financial experts. They combine strong problem-solving skills with advanced knowledge of finance.
- Swansea, United Kingdom
Full time, Part time
On-Campus
The MSc in Mathematics and Computing for Finance is designed to meet the demand for specially trained mathematicians in the world’s finance and insurance markets.
Master of Science in Computational Finance
Carnegie Mellon University Tepper School of Business
Featured
- Pittsburgh, USA
Blended
English
The Master of Science in Computational Finance (MSCF) curriculum was developed from the joint venture between four Carnegie Mellon University colleges.
Master of Science in Computational Finance
Kellstadt Graduate School of Business, DePaul University
Featured
- Chicago, USA
On-Campus
The globalization of markets and competition brings new complexity to business finance. Continual, rapid innovation in financial markets, instruments and institutions, demands a high
- Rostov-on-Don, Russia
Full time
2 years
On-Campus
English
Courses, offered in master’s program cover a wide range of areas. Student will gain the skills, which he/she can apply in future career in science or industry. You will gain the fundamental skills of mathematical modeling and using software in qualitative research, which they can apply in a future to real-world problems. Modern methods of data analysis and decision making require tools from probability, statistics, optimization, machine learning, scientific calculations. The program will present these tools in an accessible way through numerous examples.
- Suzhou, China
Full time
On-Campus
English
With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services, for a variety of tech-savvy talent to deliver business solutions on a global scale.