Master of Science in Finance

At a Glance

  • U.S. Master of Science degree
  • September or January start
  • 12 months full-time or 12/18 months part-time (evenings)
  • 60 ECTS credits (54 for courses + 6 for field project)
  • NASDAQ, Empiricus and Future of Big Data scholarships
  • Tuition: EUR 10,000

  

Jumpstart or accelerate your career with an international finance program guided by industry experts:

  • U.S. Master of Science degree from a world-class university
  • Full-time for graduates and career changers, part-time for professionals with existing careers
  • Vast curriculum in finance as well as quantitative methods, technology skills and big data
  • Strong industry focus with capstone field project, Finance@CEU, case studies, simulations and site visits
  • Guided by the MSc in Finance Advisory Committee of senior executives from global employers
  • Careers with 100% placement within three months in 2016, corporate showcases, integrated job platform
  • Global student body, one of the most diverse and far-reaching university networks in the world
  • Extend your studies abroad free of tuition with exchange partner schools in the Americas, Asia and Europe
  • Scholarship and training programs by Hong Kong and London investment firms

The MSc in Finance is a small and densely international program in the best tradition of CEU, ranked among the world's best and most international schools. The Class of 2017 comprises 35 students from 20 countries. The program is taught by research professors and industry professionals who previously taught and earned degrees at Wharton, Chicago, NYU, Yale, Princeton, Boston, Toronto, Cambridge and INSEAD, among others.

 

The program's full-time or part-time design allows students to plan their studies around their career needs. The curriculum has a strong practical focus with a vast range of courses. We continually push the frontier of big data and financial technology through content developed with the MSc in Business Analytics. The Finance@CEU expert speaker series brings you industry experts working at the cutting edge of finance.

 

The MSc in Finance Advisory Committee is a working group of senior executives setting professional standards, advising on and contributing to the curriculum, and assisting with career services.

 

Our graduates are sought after by global employers seeking international finance talent. Budapest is among Europe's fastest rising financial services and technology hubs, home to Avis, Bank of China, Blackrock, BP, BT, Citi, Diageo, ExxonMobil, GE, Morgan Stanley, MSCI, TCS and Vodafone, among many others.

 

Program Head: Prof. Péter Szilágyi (room: N13 405)

Program Administrator: tba

Courses

Title Instructor Credit
Accounting (full-time) Laura Ipacs 2.0
Accounting (part-time) Laura Ipacs 2.0
Banking and Financial Institutions tba 2.0
Banking IT and Fintech: Bank to the Future Szabolcs Szalay 2.0
Behavioral Finance Laura Ipacs 2.0
Boardroom Global Challenge Tibor Voros 2.0
Business Economics Marc Kaufmann 2.0
Business Intelligence in Tableau Ivett Kovács 1.0
Company Valuation Joy Chan 2.0
Corporate Finance and Risk Management Peter Szilagyi 2.0
Corporate Governance Almos Telegdy 2.0
Corporate Restructuring Joy Chan 2.0
Data Analysis 1a: Foundation of Data management in R (full-time) Gergely Daróczi 2.0
Data Analysis 1a: Foundation of Data management in R (part-time) Gergerly Daroczi 2.0
Data Analysis 2: Foundations of Statistics Arieda Muco 2.0
Data Analysis 3: Pattern discovery and regression analysis Gábor Békés 1.5
Data Analysis 3: seminar1: Stata (full-time) tba 0.5
Data Analysis 3: seminar2: R (full-time) tba 0.5
Data Analysis 3: seminar3 : R (part-time) tba 0.5
Data Analysis 4: Prediction Analytics with introduction to Machine Learning Gábor Békés 1.5
Data Analysis 4: seminar2: R tba 0.5
Data Analysis 5: Experiments and causal analysis of interventions Gábor Békés 1.5
Data Analysis 5: seminar2: R tba 0.5
Data Science and Machine Learning 1: Concepts Szilard Pafka 2.0
Data Science and Machine Learning 2: Tools Szilard Pafka 2.0
Data Visualization Krisztina Szűcs 1.0
Entrepreneurial Finance Gabor Baranyai 2.0
Ethical Leaders and Integrity Davide Torsello 2.0
Finance (full-time) Peter Szilagyi 2.0
Finance (part-time for MSc Finance & KEMBA) Peter Szilagyi 2.0
Finance and Strategy Mark Walton 2.0
Financial Trading Design and Technology Ferenc Meszaros 1.0
Fixed Income Analysis Peter Szilagyi 2.0
Investments I (full-time) Adam Zawadowski 2.0
Investments I (part-time) Tibor Turner 2.0
Investments II (full-time) Adam Zawadowski 2.0
Investments II (part-time) Tibor Turner 2.0
Personal Finance Joy Chan 1.5
Private Equity and Venture Capital Gabor Baranyai 2.0
Regulatory and Policy Environment Maciej Kisilowski 2.0
Seminar series on applied data science in companies Gábor Békés 1.0
Strategic Managerial Accounting Laura Ipacs 1.5
Tools for Analytics Lab - SPSS Gyorgy Kormendi 1.0