Master of Science in Business Analytics

In a data-rich world, firms manage data as a strategic asset to improve decision-making. Learn to analyze and act upon insights from data. Understand how data analytics can drive business value. Study full-time as a graduate or career changer, or keep your career and study part-time.

At a Glance

  • U.S. Master of Science degree
  • 10 months full-time or part-time
  • 36 credits (72 ECTS credits)
  • Tuition: EUR 15,000

Learn more from the MS in Business Analytics Data Sheet and Video

Analyze and Act on Insights from Data

Cover a unique mix of data analytics, computer science and business topics including programming, statistics with machine learning, big data and cloud computing, and data engineering. Complete your training with use case seminars, specialist courses on text mining, deep learning or agile project management, and a capstone consulting project.

  • Use statistical analysis to find patterns and evaluate past and future business interventions
  • Write code, apply predictive analysis and models of causal analysis
  • Collect and parse data, and translate it into actionable insights
  • Get familiar with key tools, frameworks and platforms, and learn to implement processes in production
  • Manage a data-driven business and create knowledge from big data and other sources of quantitative information
  • Collaborate with software development specialists, quantitative analysts, and present your analysis in a clear and effective manner

Join a World-Class International Community

The MS in Business Analytics ranks #1 in Central Europe and world #50 in the QS Masters in Business Analytics Rankings. In economics, CEU ranks #151-200 in ARWU ShanghaiRanking and QS World University Rankings.

The Class of 2019 has 25 students from 8 countries, from early career professionals to senior executives. CEU brings together students from 118 countries and an alumni network reaching 146 countries.

Balance Your Studies and Career

Land a job or internship anytime, or continue your career working up to three days a week even during term time. In 2017, 93% of full-time students landed a job within three months of graduation.

Budapest and Vienna rank among the EU’s most buzzing tech hubs and best places for expats. Firms competing for talent in Budapest include BlackRock, EPAM, IBM, McKinsey, Morgan Stanley, MSCI, Nokia and TCS.

Your degree can take you places. Join a global employer in a data science or management role. Work for a smaller firm in need of data collection and analytics expertise. Enter the booming analytics startup arena, and start a venture in our award-winning CEU InnovationsLab incubator.

Partner Schools on Four Continents

Go for a week or an entire semester free of tuition. Partner schools include EBS (Germany), Emory (U.S.), ESSEC (France and Singapore), Hitotsubashi (Japan), IPADE (Mexico) and Shanghai Jiao Tong (China).

Application Deadlines

  • January 31, 2019 for scholarships
  • May 1, 2019 if you need a student visa
  • August 30, 2019 if you are an EU/EEA candidate.

After January 31, 2019 we follow a rolling admission model where we evaluate and decide on applications as we receive them.

Gabor Bekes
Assistant Professor
Head of MS in Business Analytics
Eszter Fuchs
MS in Business Analytics Coordinator
Room N13/414, email