Master in Computational Finance (MCF)

This is the right moment for smart decisions. Master in Computational Finance (MCF) program currently accepting applications for the Academic year 2024-25. The coursework starts on December 1st, 2024. It commences with a two-month Bootcamp (Dec-Feb) Before the beginning of the program, we organize an approximately two month preparation course where students can learn programming (Python, some R), math and probability theory that are needed for computational finance. By the end of the course students should be able to confidently write codes in Python and R addressing typical problems in finance and economics, working efficiently with financial data and creating sophisticated data visualizations. Students will understand some of the key concepts in calculus, linear algebra and probability and learn how they apply to challenges that we face in finance and economics. No prior programing knowledge is assumed. The program website contains some of the key info about the program: https://mcf.raf.edu.rs

Raiffeisen Bank Scholar: Ognjen Zakic Junior Corporate Credit Risk Manager at Raiffeisen Bank I graduated from the London School of Economics and Political Science. I am currently a student in the Master in Computational Finance (MCF) program. I would like to emphasize two of the most important aspects of this program: First, flexibility. If you are working, you can still manage the program. I was doing an internship while studying, and with the support of colleagues and professors, I was able to overcome that challenge. Second, this master’s program is very engaging. There are many different projects and assignments, which I enjoy because they are highly practical. ?? No prior programming or finance knowledge is required — just the motivation to learn! ?? Join the MCF Network: https://mcf.raf.edu.rs/ #ComputationalFinance #MastersEducation #RiskManagement #Bank #Finance?

Alumni Testimonial: Sofija Milosavljevic Integrated Risk Officer, Strategic Risk Department, Raiffeisen Bank The most valuable aspect of the Master in Computational Finance (MCF) program is the people. I’ve gained knowledge in areas I was less familiar with, such as financial derivatives, and learned to use Python, which has greatly improved our efficiency compared to traditional methods in Excel. I particularly appreciate how the program balances theoretical knowledge with practical application, allowing me to see real results. Working with a team from diverse backgrounds has also been invaluable, as we can share expertise across different fields. ?? Unlock the future of finance with advanced skills and global opportunities.? ?? Apply now: https://mcf.raf.edu.rs/ #ComputationalFinance #MastersEducation #RiskManagement #Finance?

Alumni Testimonial: Mina Mitrovi? Business Technology Consultant at FIS I joined Master in Computational Finance (MCF) program because of the recommendation I got. When I met with Branko to discuss what the program is and what its vision is, I knew it was the program for me. Coming from a technical background and with a personal interest in finances, MCF provided just the right amount of technical and financial subjects. Up to this day, the knowledge I got from the programme, is helping me in my everyday work activities. Since I work with financial institutions daily, it helps to know the basics and understand how and why certain decisions are made. I had the amazing opportunity to learn from people who are not only well-versed in theory but have worked in the field as well. This course represents the best mixture of theoretical and practical knowledge. I would recommend it to anyone who is up to change and likes to have a hands-on approach to things. ?? Join the next generation of finance professionals. ?? Start Your Application: https://mcf.raf.edu.rs/

Join the companies that help talents grow into experts. Graduates of the Master in Computational Finance (MCF) program are making an impact at some of the world’s leading companies across the globe. From top financial institutions to cutting-edge tech firms, our alumni are applying their skills in data science, quantitative finance, and machine learning to solve complex challenges and drive innovation in the industry. ??Join a program that opens doors to global opportunities! ?? Start Your Application: https://mcf.raf.edu.rs/ #MastersEducation #Finance #ComputationalFinance #MCF #GlobalCareers #DataScience #QuantitativeFinance

Alumni Testimonial: An?ela Ba?i? With a background in computer science from Hong Kong, I worked as a software developer at a hedge fund. I recommend joining a boot camp to connect with peers and solidify the material before starting. Although I had little knowledge of finance initially, I was drawn to the idea of modeling financial derivatives. Completing the Master in Computational Finance (MCF) program was absolutely worth it. Become part of the future of finance and accelerate your career.? Apply now: https://mcf.raf.edu.rs/ #ComputationalFinance #MastersEducation #Mathematics #Finance #investing?#softwaredeveloper #hedgefunds #FinancialDerivatives

Learn directly from an industry leader! ?? Meet the Expert Behind Our Master in Computational Finance (MCF) program: Ante Dodig, PhD Ante is an Assistant Professor of Economics and Finance at the School of Computing, Union University. He is a finance professional with over fifteen years of institutional and private global financial investments experience. Works as an Investment Officer with the International Finance Corporation (IFC) where he leads investment transactions in the financial sector in emerging economies. He is an expert project manager incorporating principal themes in all phases of the investment process. He was a Fullbright scholar and Magna Cum Laude from the George Washington University, USA. He received a PhD in Business Administration from the School of Economics, University of Sarajevo. ?? Applications are open for the 2024-25 academic year! ?? Don't miss out on this opportunity — apply now! https://mcf.raf.edu.rs/ #ComputationalFinance #MastersEducation #Mathematics #Finance #investing #projectmanagement

Alumni Testimonial: Essam Saied Investment Consultant I currently develop Machine learning investing & trading algorithms for my clients and myself. I joined the Master in Computational Finance (MCF) program to boost my knowledge and skills. What I liked most about the program was the amount of live interaction in the lectures, the practical projects in addition to the quality of provided material supported by excellent instructors was really helpful and provided great experience. Unlock the future of finance with advanced skills and global opportunities. Apply now: https://mcf.raf.edu.rs/ #ComputationalFinance #MastersEducation #Mathematics #Finance #investing #trading

Introducing Our Esteemed Advisory Board Our advisory board keeps us on track with business needs of todays ?nancial markets helping us to design our courses to the requirements of the top global ?nancial organizations. The goal is to elevate the level of education and prepare individuals to address the demands of 21st-century businesses and the finance industry. ?? The Master in Computational Finance (MCF) program is currently accepting applications for 2024-2025. ?? Visit https://mcf.raf.edu.rs/ to learn more and apply. #ComputationalFinance #MastersEducation #Finance #Programming #DataScience #MachineLearning

Join Exclusive Master’s Education in Belgrade! Nikola Krivacevic Senior Software Engineer, Trading team, Crypto exchange Bitstamp Throughout my career, I have gained experience in building and designing products as a software engineer, consultant, quant, and startup founder. I am passionate about finance, blockchain, machine learning, and tech in general. Currently, I work as a Software Engineer at Bitstamp, the world’s longest-running crypto exchange. I also hold two master's degrees—one in Software Engineering and the other in Computational Finance. Shape your career in computational finance and lead the industry transformation.? Explore the Master in Computational Finance (MCF) program: https://mcf.raf.edu.rs/