10 monthsProgramme duration
15,000 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Master's
Study Mode
On Campus
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.
QUICK FACTS
Full-time/part-time duration:
10 months
Starting in:
September
Tuition fee:
€15,000 per year
Location:
Vienna
Degree:
U.S. degree
Study and work at the same time
The MS in Business Analytics is designed expressly so you can study and work at the same time. Core courses and main elective courses run two days a week from 1:30 p.m. Some courses involve weekend-only classes.
Join full-time as a graduate or career changer. As a full-time student, you may land an internship at any time. Should this happen, you may request to change your status and become a part-time student.
Join part-time as a working professional. As a part-time student, you may request to extend your studies with a second year to continue taking elective courses or to complete your capstone project.
Boost your career
In 2020, 91% of our full-time students landed a job within three months of graduation.
Budapest and Vienna are among Europe’s most buzzing financial services and technology hubs. Employers competing for international talent include:
- Budapest – Bank of China, BCG, Blackrock, BP, BT, Citi, EPAM, GE, IBM, KPMG, McKinsey, Morgan Stanley, MSCI, NN, Nokia and TCS
- Vienna – DB Schenker, Deloitte, EATON, Franklin Templeton, Google, JP Morgan, LVMH, Raiffeisen Bank, Swarovski and UniCredit.
Study your passion
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.
Apply
Apply by January 2, 2023 and benefit from a 30% early bird discount!
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
Other Application Deadlines:
- February 1, 2023 for applicants to master’s programs who wish to be considered for graduate CEU financial aid (where available)
- March 15, 2023 for self-financing master’s applicants who are citizens of countries outside the EU/EEA area and require a study visa
- August 15, 2023 for self-financing master’s applicants with citizenship or permanent residency in an EU/EEA country.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Master's
Study Mode
On Campus
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.
QUICK FACTS
Full-time/part-time duration:
10 months
Starting in:
September
Tuition fee:
€15,000 per year
Location:
Vienna
Degree:
U.S. degree
Study and work at the same time
The MS in Business Analytics is designed expressly so you can study and work at the same time. Core courses and main elective courses run two days a week from 1:30 p.m. Some courses involve weekend-only classes.
Join full-time as a graduate or career changer. As a full-time student, you may land an internship at any time. Should this happen, you may request to change your status and become a part-time student.
Join part-time as a working professional. As a part-time student, you may request to extend your studies with a second year to continue taking elective courses or to complete your capstone project.
Boost your career
In 2020, 91% of our full-time students landed a job within three months of graduation.
Budapest and Vienna are among Europe’s most buzzing financial services and technology hubs. Employers competing for international talent include:
- Budapest – Bank of China, BCG, Blackrock, BP, BT, Citi, EPAM, GE, IBM, KPMG, McKinsey, Morgan Stanley, MSCI, NN, Nokia and TCS
- Vienna – DB Schenker, Deloitte, EATON, Franklin Templeton, Google, JP Morgan, LVMH, Raiffeisen Bank, Swarovski and UniCredit.
Study your passion
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.
Apply
Apply by January 2, 2023 and benefit from a 30% early bird discount!
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
Other Application Deadlines:
- February 1, 2023 for applicants to master’s programs who wish to be considered for graduate CEU financial aid (where available)
- March 15, 2023 for self-financing master’s applicants who are citizens of countries outside the EU/EEA area and require a study visa
- August 15, 2023 for self-financing master’s applicants with citizenship or permanent residency in an EU/EEA country.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
International
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