MS in Business Analytics

Central European University

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About

Earn a valuable degree

The MS in Business Analytics program covers 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. The program ranked #1 in Central Europe and #51+ in the world in the QS Business Masters Rankings 2020.

Learn to analyze and act upon insights from data. Understand how data analytics can drive business value. Complete your training with use case seminars, specialist courses on text mining, deep learning or agile project management and a capstone consulting project.


Qualification

Duration

Study Mode

MS

10 months

full-time

Start Date(s)

Location

September 1 2022

On-campus


Course details

Core courses

The core courses cover coding, statistics, machine learning, data science, big data and cloud computing, and data engineering.

Sample courses

  • Coding: Data Management and Analysis with R
  • Coding: Data Management and Analysis with Python
  • Coding Practice with R
  • Data Analysis: Exploration – Business Analytics track
  • Data Analysis 2: Finding Patterns with Regressions – Business Analytics track
  • Data Analysis: Prediction and Introduction to Machine Learning
  • Data Analysis: Causal Analysis
  • Data Science: Machine Learning Concepts
  • Data Science: Machine Learning Tools
  • Data Visualization: Introduction to Data Visualization with Tableau
  • Ethics of Big Data
  • Data Engineering: SQL for Analysts
  • Data Engineering: Different Shapes of Data
  • Data Engineering: Big Data and Cloud Computing

Electives

Deepen your knowledge in analytics and engineering, or take up management and business courses.

Capstone Project

The final capstone project puts your applied skills to the test by matching you with an industry partner and exposes you to a complete analytics workflow. Use the full spectrum of skills you have acquired, challenge yourself, and generate valuable content for the partner. Past projects include designing a data warehouse, building a predictive model of customer behavior, fraud detection, and designing and evaluating experiments through data analysis.


Entry requirements

Admissions requirements:

  • Completed online application form
  • Proof of English proficiency
  • Letters of recommendation
  • CV
  • Bachelor’s degree
  • Academic records
  • Statement of purpose
  • GMAT or GRE General Test or CEU Math Test
  • Admission interview

Career outcomes

In 2020, 91% of our full-time students landed a job within three months of graduation.

Vienna is among Europe’s most buzzing financial services and technology hubs. Employers competing for international talent include DB Schenker, Deloitte, EATON, Franklin Templeton, Google, JP Morgan, LVMH, Raiffeisen Bank, Swarovski and UniCredit.

Contact Central European University

https://www.ceu.edu/

admissions@ceu.edu

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