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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... Read more
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.
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... Read more
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.
All programs at CEU require one or more pieces of academic writing for the application, such as a statement of purpose, research proposal, academic essay on a given subject, writing sample, etc. Each academic program has its own writing requirement(s).
10 Months
Sep
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
15,000 EUR
International
15,000 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc in Business Analytics
Central European University, Vienna, Austria
10 monthsProgram duration
15,000 EURTuition Fee/year
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
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...
Read more
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:
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
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:
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.
Read lessProgram overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
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...
Read more
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:
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
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:
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.
Read lessAdmission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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