MS 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.

1 Year Master's in BUSINESS ANALYTICS - TURN NUMBERS INTO KNOWLEDGE

Become a tech-savvy business analytics professional and build your career at top companies

You learn to 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.

The Master's in Business Analytics program serves a pressing business need of preparing quantitative professionals and key decision makers for data driven businesses and has a modular structure of

• Data Engineering,
• Data Analysis,
• Data Science,
• Data Visualization and
• Managing Analytics.

In the program you will learn to:

• 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 program ranks #1 in Central Europe and world #50 in the QS Masters in Business Analytics Rankings 2019. In economics, CEU ranks #101-150 in ARWU ShanghaiRanking 2019 and #151-200 in QS World University Rankings 2019.

The Class of 2022 has 18 students from 12 countries, from full-time graduates and career changers to part-time company executives. CEU brings together 1,320 students from 103 countries, and a global alumni network reaching 147 countries.

Study in Vienna

The program is accredited as a Master of Science degree in the U.S. The Austrian accreditation of the program was finalized in June 2022. If you are a full-time non-EU/EEA student, you will hold an Austrian study visa and residence permit.

Study and Work at the Same Time

Join full-time and land a job or internship anytime. In 2018, 93% of full-time students landed a job within three months of graduation.

Join part-time to continue your career. You may request a second year to take elective courses or to complete your capstone project.

Budapest and Vienna rank among the EU’s top financial services and technology hubs, and best places for expats. Employers competing for international talent include BCG, BlackRock, Citi, Deloitte, GE, Google, IBM, JP Morgan, McKinsey, Morgan Stanley, MSCI, NN, 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, or develop your own startup.

Join Exchange Partners on Four Continents

Go for a semester or just a week in the summer. Specialize further into finance, or broaden your skills with MBA courses. Partner schools include EBS (Germany), Emory (U.S.), ESSEC (France, Singapore), Hitotsubashi (Japan), IPADE (Mexico) and Shanghai Jiao Tong (China).

Scholarship and Internship Programs

• Oct 18 if you are from a countrly with lengthy visa process
• Feb 1 if you seek financial aid
• March 15 if you need a study visa
• August 15 if you do not need a study visa.

We follow a rolling admission model where we evaluate and decide on applications as we receive them.

	Miklós Koren Professor Head of MS in Business Analytics
	Dominika Dash MS in Business Analytics Coordinator Room QS B507