Admissions status:
Open. The current round closes on October 15, 2025.| Course Details | Description |
|---|---|
| Level | Postgraduate |
| Degree | MS |
| Length | 3 terms (1 year) |
| Department | Department of Economics |
| US degree credits | 30 |
| Austrian degree ECTS credits | 60 |
Program Description
The one-year Master of Science in Business Analytics is a professional degree that helps you gain the skills and knowledge to excel in the rapidly evolving field of data-driven business analytics.
The program provides the full spectrum of skills and knowledge needed to create business value from big data and other sources of quantitative information. With interdisciplinarity as the core component of the MS in Business Analytics, you will delve into data analytics, computer science, data engineering and data visualization in the context of business topics, such as entrepreneurship, banking IT and fintech, as well as technical project management. You will master advanced data science skills, including programming, statistics with machine learning, big data analytics and cloud computing to learn how to make use of data to inform strategic business decisions effectively.
The one-year MS in Business Analytics offers flexible study options to support your professional and academic journey. You may choose to join the program full-time to fast-track to a job or an internship or simultaneously work and complete your degree part-time. Part-time students may extend their education to a second year to take elective courses or to complete their capstone project. Moreover, students have the opportunity to spend up to one semester abroad to gain an international perspective in their area of specialization at one of the partner schools of the Department of Economics. We have bilateral agreements with ACEM, Shanghai Jiao Tong University (Shanghai, China), EBS University of Business and Law (Wiesbaden, Germany), ESSEC Business School (Paris, France, and Singapore), Goizueta Business School, Emory University (Atlanta, United States), ICS Graduate School, Hitotsubashi University (Tokyo, Japan) and IPADE, Universidad Panamericana (Mexico City, Mexico).
How the One-Year MS in Business Analytics Works
The one-year MS in Business Analytics program is delivered as structured, progressive training in the methods and tools of quantitative analysis. The mandatory coursework will guide you through the key theoretical and practical concepts in data analysis, data science, data visualization and managing analytics. You will cover the full spectrum of knowledge and skills necessary to understand the management and economic aspects of data in the context of business decisions, market research, forecasting and reporting. In addition to specialized business analytics training, you will acquire various soft skills essential to leading and participating in collaborative work assignments. These include Agile project management and Scrum techniques, co-operating with stakeholders across technical and non-technical departments, and oral and written presentation skills. Students benefit from the interdisciplinary approach practiced at CEU, drawing from the study of humanities and social sciences to think critically about the challenges to the development of efficient business analytics operations.
You also have the possibility to attend extracurricular language courses in French, German or Spanish at beginner, intermediate and advanced levels to broaden your career prospects on the international job market.
The Master of Science in Business Analytics curriculum contains a strong practical element to enrich conceptual studies with industry case studies and real-life experience. You will attend Use Case Seminars, a series of guest talks with international experts in senior and leadership positions in startups and enterprises, to learn about the current business analytics landscape.
You will implement what you have learned through the final capstone project, which involves working with an industry client and conducting research that generates insights and recommendations from business data.
Who Is This Program For
The MS in Business Analytics is aimed at those who aspire to become the next generation of data scientists and business analysts who take advantage of the vast amount of data for business success.
Companies worldwide increasingly recognize the value of first and third-party data in delivering customer satisfaction and uncovering profit opportunities. This one-year degree provides you with the in-demand advanced skillset of analyzing and acting upon information through data science.
Whether you are a recent graduate or a working professional, this program provides a comprehensive education in the business application of data analytics to help you become a leader in the data-driven economy.
Check If You Meet the Eligibility Criteria
If you plan to pursue a PhD: This master’s program is intended for students with a completed 4-year bachelor’s degree. This allows you to pursue a PhD degree later anywhere in Europe.
If you completed a 3-year bachelor’s degree previously and wish to continue with a PhD degree after you complete your master’s level program, you should choose a 2-year master’s program.
If you do not plan to pursue a PhD: If you have completed a 3-year bachelor's degree and are not interested in a PhD degree later, then, in exceptional cases, you can be allowed admission into this 1-year master’s program. To qualify for the exception, you have to demonstrate substantial experience in quantitative analysis or computer programming, not only documented through academic credentials (degree programs, non-degree certificates and online courses) but also through relevant work experience and individual projects. Please contact us directly to discuss your application.
Program-Specific Requirements
In addition to meeting the general CEU admissions requirements, you must provide a 500-word statement of purpose and proof of a valid GMAT score of at least 600 (or an equivalent GRE General Test or CEU Math Test score).
What Awaits You
The MS in Business Analytics offers a comprehensive data analyst education. All students attend a compulsory pre-term program in the first two weeks of September to refresh their knowledge of mathematics and provide an introduction to informatics. In the first term, you will explore foundation courses that cover an introduction to R, statistical foundations, data management basics, open-source and commercial data science, and big data tools. You will also examine concepts of business intelligence, data visualization and storytelling.
In the second semester, you will attend advanced data science courses, such as prediction methods and machine learning, as well as learn about practical and data engineering aspects of putting analytics into production.
In the third semester, you will work on the practical application of the knowledge gained during the program and produce an individual capstone project for an industry client. Examples of past projects include designing a data warehouse, building a predictive model of customer behavior, fraud detection and designing and evaluating experiments through data analysis.
Program Overview
Program Overview
- Mathematics and Informatics Pre-Session for Business Analytics
- Coding 1: Data Management and Analysis with Python
- Data Analysis 2: Finding Patterns with Regressions - Business Analytics track
- Data Engineering 1: SQL and Different Shapes of Data
- Data Engineering 2: Cloud Computing
- Data Visualization 1: Introduction to Data Visualization
- Data Visualization 2: Charting in Python
- Courses from the list of electives
- Data Analysis 3: Prediction and Introduction to Machine Learning
- Data Science 1: Machine Learning
- Discovering Discrimination with Data
- Use Case Seminars 1
- Courses from the list of electives
- Designing Analytics Projects (Capstone Project Development Seminar)
- Use Case Seminars 2
- Courses from the list of electives
- Agile Project Management and Scrum
- Banking IT and Fintech: Bank to the Future
- Coding 2: Web Scraping with Python
- Coding 3: Introduction to R
- Coding Practice With Python
- Company Valuation
- Data Analysis 4: Causal Analysis
- Data Engineering 3: Batch Jobs and APIs
- Data Engineering 4: Big Data Computing with Apache Spark
- Data Science 2: Deep Learning
- Data Visualization 3: Practical Data Visualization with R
- Data Visualization 4: Building Dashboards
- Entrepreneurship and Innovation
- Financial Management
- Introduction to Geospatial Data Science
- Maximizing Your Future
- Scientific Python
- Sustainable Finance
- Time Series Forecasting
This program overview is provided as an example based on previous years' curricula. It is for informational purposes only and subject to change. Course offerings, schedules and content may be updated or modified at any time without prior notice. Please refer to official sources or contact the relevant department for the most current program details.
Program Accreditation
The one-year MS in Business Analytics at CEU is registered with the New York State Education Department in the United States and accredited by AQ Austria in Austria. CEU is accredited in the United States by the Middle States Commission on Higher Education (MSCHE).
Find out more about accreditation at CEU.
Your Instructors
After Graduation
Your Career Prospects
The one-year Master of Science in Business Analytics degree is a gateway to an exciting professional and academic career where data is creatively put to work. After graduating from this program, you will be familiar with all aspects of business analytics, including applications that assist business decision-making. You will understand the pressing questions posed by managers, the methodological challenges of statistics and the power and limitations of modern technologies.
The MS in Business Analytics at CEU graduates are sought-after for key technical positions in internationally operating enterprises - in 2020, 91% of full-time students landed a job within three months of graduation. Some of our past students applied their expertise to innovative data-driven business solutions and became entrepreneurs in the booming analytics startup arena.
After graduating with an MS in Business Analytics, you may consider exploring roles with the following job titles:
- Analytics Consultant
- Analytics Manager
- Asset Manager
- Business Analytics Consultant
- Business Development Manager
- Business Intelligence Analyst
- Commercial Analyst
- Chief Technical Officer (CTO)
- Data Architect
- Data Engineer
- Data Officer
- Data Scientist
- Machine Learning Engineer
- Market Research Analyst
- Marketing Analyst
- Operations Research
- Risk Analyst
- Startup Founder
5 Reasons to Choose the Master of Science in Business Analytics in Europe
- Dual degree: Earn both an American and Austrian degree and expand your doctoral training prospects internationally.
- Develop in-demand business analytics skills: Companies in private and public sectors all over the world recognize the need to harness the opportunities offered by widely accessible data but lack the necessary know-how. Join the ranks of highly sought-after professionals trained in the key aspects of data science for business applications.
- Flexible study options: The MS in Business Analytics program is designed expressly so you can study and work at the same time. Choose either the full-time or part-time options to fit with your schedule.
- Focus on interdisciplinarity: Hone your critical thinking skills to assess complex situations, evaluate different perspectives and formulate data-driven business recommendations.
- Join an international community: Become part of an ever-growing international network of CEU students, engage in inspiring discussions, collaborate with peers and exchange experiences.
