MSc in Business Analytics

Central European University, Vienna, Austria

Shortlist

10 monthsProgram duration

15,000 EURTuition Fee/year

YesScholarships

Business AnalyticsMain Subject Area

Shortlist

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 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.

Read less

Program overview

Main Subject

Business Analytics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Earn a valuable degree

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

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

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.

Read less

Admission Requirements

Cambridge CAE Advanced

180+

PTE Academic

59+

TOEFL

88+

IELTS

6.5+

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).

Program Duration

10 Months

Starting Month(s)

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 Fee and Scholarships

Domestic Students

Tuition Fee/year

15,000 EUR

Tuition Fee (Out of State)

International Students

Tuition Fee/year

15,000 EUR

Other Expenses

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

MSc in Business Analytics

Central European University, Vienna, Austria

10 monthsProgram duration

15,000 EURTuition Fee/year

YesScholarships

Business AnalyticsMain Subject Area

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Exam Scores

Important Dates

Application

Tuition Fee and Scholarships

Tuition Fee

Domestic Students

International Students

Scholarships

In this guide you will find:

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