BSc in
Data Science in Business
Create business value from data by combining maths, informatics, business expertise and communication
Wondering how to use your math and IT knowledge in value creation? Interested in supporting decision making and enhancing business operations? Are you keen to discover insights in big data? Do you want to possess the knowledge about how to
evaluate insurance claims with the help of machine learning
optimize production processes with using machine learning algorithms
detects factors influencing tax avoidance
identify fake news with Natural Language Processing (NLP) methods?
Our practice-oriented degree program provides you opportunities to explore these fields and acquire competences in data modelling and data analytics. Individual and teamwork will equip you with strong methodological, IT and business competences. You can improve your skills at our partner universities and companies. If you want to continue the journey in this field, you can apply for several Masters and later PhD studies.
This programme is only available in English.
Programme name: Data Science in Business
Programme award: Bachelor, BSc
ECTS: 240
Duration: 8 semesters (4 years)
Teaching hours: approx. 16-18 hours/week
Intership: approx. 480 hours
Start date: September 2025
Tuition fees (EEA): coming soon…
Total tuition fees (EEA): coming soon…
Tuition fees (Non-EEA): coming soon…
Total tuition fees (Non-EEA): coming soon…
What will you study?
Core Modules*
- Business economics, Accounting
- Mathematics
- Introduction to the data science and programming, Advanced programming, Database systems
- Project management in data science
Core Modules*
- Business and operation management, Management accounting, Marketing
- Statistics and data visualisation, Statistical modeling
- Software developing, Advanced database systems
- Data wrangling (project subject), Self-service BI, Data analytics in an enterprise environment
Core Modules*
- Data science in supply chain management, Corporate finance, Data analysis of financial markets (project subject), Decision techniques
- Statistical methods of time series analysis, Panel modeling
- Big data architecture, Machine learning in Practice, Text mining,
- Data warehouses and business analytics
Internship, elective courses
* The above is not an exhaustive list. Corvinus University of Budapest reserves the right to change modules.
Application Requirements
- Completed high school/secondary education (or higher)
- Pass mathematics exam
- B2 level of English, proven by a certificate
- For more, please click here!
For Hungarian Citizens
You can ask the Student Services for further information via felvi.corvinus@uni-corvinus.hu email address.
Hungarian citizens with foreign high school diplomas can now apply to Corvinus through DreamApply.
Preparatory Programme
If you do not meet the requirements, you can apply for our preparatory programme.
Note: there are three ways to apply to Corvinus as an international student:
Self-funded route (available for all applicants)
Stipendium Hungaricum route – non-EU applicants only, further restrictions apply
Diaspora scholarship route – non-EU nationals with Hungarian heritage only, further restrictions apply
There are three ways to apply to Corvinus as an international student
Borbásné Szabó Ildikó
Programme Director
Associate Professor
From the Programme Director…
You have probably visited the bottom of this page because you want to embark on the exciting and challenging journey that this training programme offers you. You want to be equipped with the competencies to overcome the obstacles that arise from inadequate data structures and challenging business processes. You are interested in uncovering the hidden relationships behind data and communicating your findings to stakeholders in a convincing way. If you recognize yourself, you are welcome to apply for our degree programme!
Accreditations and Rankings
#2 Best Business School
Eduniversal Eastern Europe rankings. 2020 (1st in 2019, 2nd in 2017, 2018)
#300-350 for Business and Management studies
Career Opportunities
- data scientist
- BI analyst
- BI consultant
- data analyst
- financial data analyst