Master of Science in Business Analytics
Vienna, Austria
DURATION
10 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request the earliest start date
TUITION FEES
EUR 15,000 / per year *
STUDY FORMAT
On-Campus
* payable in one or two installments, non-refundable initial tuition fee installment (€500 EUR) is paid to confirm your acceptance of our offer of admission and is credited towards the 1st tuition fee installment in year 1
Introduction
The Master's in Business Analytics program serves a pressing business need of preparing quantitative professionals and key decision makers for data-driven businesses and has a modular structure of
- Data Engineering,
- Data Analysis,
- Data Science,
- Data Visualization and
- Managing Analytics.
In the program you will learn to:
- 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, and quantitative analysts, and present your analysis in a clear and effective manner
Program Accreditation/Registration
- The program was approved and registered by the New York State Education Department
- Program accredited by the Agency for Quality Assurance and Accreditation Austria (AQ-Austria)
Admissions
Scholarships and Funding
To master’s candidates, we award financial aid based on academic merit. You can apply for financial support for master’s studies in the Funding section of the Online Application Form.
Curriculum
Core courses
The core courses cover coding, statistics, machine learning, data science, big data and cloud computing, and data engineering.
- In the Fall term, foundation courses cover an introduction to R, statistical foundations, data management basics, and a review of open-source and commercial data science and big data tools. We also cover concepts of business intelligence, data visualization, and storytelling.
- In the Winter term, advanced courses cover prediction methods and machine learning, as well as practical and data engineering aspects of putting analytics into production. Use case courses help bring methods learned closer to real-life experiences.
Electives
Deepen your knowledge in analytics and engineering, or take up management and business courses.
- In the Winter term, electives cover advanced machine learning and data engineering, and Python as another language of data science.
- In the Spring term, mastering courses tackle narrow topics such as deep learning and data science team and project management.
- Take further courses anywhere at CEU, from network science to environment and energy economics.
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.
Career Opportunities
Boost Your Career
Land a job or internship anytime, or continue your career working up to three days a week even during term time. In 2020, 91% of full-time students landed a job within three months of graduation.
Where Your Degree Can Take You
- Data science departments of large corporations, where you will be responsible for analyzing and managing data
- Management roles, supervising data scientists
- Smaller companies in need of an expert to set up or revamp data collection and analytics efforts
- The booming analytics startup arena, including developing your startup
Vienna, Europe's Buzzing Business Hub
Vienna is among the European Union's top 10 cities home to large expat communities. It ranks among Europe’s most beautiful cities, biggest tourist destinations, and best places for expats.With additional potential opportunities in Budapest, the two cities are among Europe’s most buzzing financial services and technology hubs. Employers competing for international talent include
- Vienna – DB Schenker, Deloitte, EATON, Franklin Templeton, Google, JP Morgan, LVMH, Raiffeisen Bank, Swarovski and Unicredit
- Budapest – Bank of China, BCG, Blackrock, BP, BT, Citi, EPAM, GE, IBM, KPMG, McKinsey, Morgan Stanley, MSCI, NN, Nokia and TCS.
Vienna and Budapest also have booming innovation scenes. Join a venture capital firm, boutique M&A advisory, or startup, or develop your startup.Austria and Hungary are members of the European Union and the Schengen Area. Housing and living expenses are lower than those in other major Western European cities.Non-European nationals may be employed part-time on their study visas. Students who have a valid Austrian Residence Permit can work up to 20 hours/week. Fresh graduates can extend their student residence permits by a maximum of 12 months.
Program Admission Requirements
Demonstrate your commitment and readiness to succeed in business school by taking the GMAT exam – the most widely used exam for admissions that measures your critical thinking and reasoning skills.
Download the GMAT mini quiz to get a flavour of the questions you’ll find in the exam.