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Featured byCentral European University (CEU)
Overview
The Business Analytics program at Central European University (CEU) offers you the full spectrum of skills and knowledge you need to create business value from big data and other sources of quantitative information. Learn to analyze and act upon insights from data. Understand how data analytics can drive business value. 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.
Analyze and Act on Insights from Data
- 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
Study in Vienna
Apply now and study in Vienna, consistently ranked among the world’s most livable cities by the Economist Intelligence Unit. Located in the heart of Europe, the Austrian capital has much to offer, from a wide range of academic opportunities to vibrant student life.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 run with 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 you land a full-time job, you may request a change of status and become a part-time student.
Join part-time as a working professional. As a part-time student, you may request a second year to continue taking elective courses or to complete your capstone project.
Boost Your Career
More than 95% of CEU 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.
Accreditation
- Program approved and registered by the New York State Education Department
- Program registered as a non-degree post-graduate specialization program by the Hungarian Educational Authority (HEA)
Programme Structure
Core courses
The core courses cover coding, statistics, machine learning, data science, big data and cloud computing, and data engineering.
Sample courses
- Data analysis: patterns, prediction and causality
- Data science and machine learning
- Ethics of big data
- Big data and cloud computing
- Business intelligence
- Data infrastructure in production
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 work by matching you with an industry partner. Its goal is to expose 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.
Key information
Duration
- Full-time
- 10 months
- Part-time
- 10 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before
-
More details
- Feb. 1: financial aid
- March 15: self-financing candidates requiring a study visa
- Aug. 15: self-financing candidates not requiring a study visa
Language
English
IELTS 6.5
PTE Academic 59
TOEFL® IBT 88
Credits
36 alternative credits
- US degree credits: 36
Delivered
On Campus
Disciplines
Business Intelligence & Analytics Machine Learning View 5 other Masters in Machine Learning in AustriaAcademic requirements
GRE® Required
GMAT 600
English requirements
IELTS 6.5
PTE Academic 59
TOEFL® IBT 88
Other requirements
General 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
- Visa requirement for part-time applicants
Tuition Fee
To alway see correct tuition fees
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International
15000 EUR/yearTuition FeeBased on the tuition of 15000 EUR per year during 10 months. -
EU/EEA
15000 EUR/yearTuition FeeBased on the tuition of 15000 EUR per year during 10 months.
Generous scholarships contributed by CEU's endowment and industry partners are available to accepted students from any country.
Living costs for Vienna
861 - 1331 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Applying for part-time? Apply with your colleagues.
- Corporate Tuition Scheme for Part-time Students
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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