BSc in

Data Science
in Business

Apply now Brochure International mobilities Quick links

About the programme

Use maths, stats and IT to turn business data into insights – and gain a competitive edge over AI

You can become a data scientist who is confident in mathematics, statistics, IT and competent in applying a combination of these skills to solve business situations.
You will participate in a series of hands-on, practical courses analysing real company data and using state-of-the-art tools to discover deeper connections and draw valuable consequences for business.
You can gain advanced data science and business intelligence skills to excel in the fastest-growing fields such as big data, AI and analytics, as projected by the World Economic Forum for 2030. Human expertise is essential for successful prompt engineering in generative AI.
Learn to detect factors influencing tax avoidance or identify fake news with Natural Lanaguage Processing (NLP) methods.
Extensive further education options, top demand from corporate partners, and scholarships from industry leaders like Allianz.
It gives you the foundation to continue with a range of one or two-year Master’s programmes, and even pursue a PhD later on.
The first DS Bachelor’s degree accredited in this region.

Who is expected to attend the training

If you enjoy solving problems, want to understand economic phenomena, and later get an exciting and well-paying job, then this is the place for you.

Details

Programme name Data Science in Business

Programme award Bachelor, BSc

ECTS 240

Duration 8 semesters (4 years)

Teaching hours approx. 16-18 hours/week

Includes internship approx. 480 hours

Start date September 2025

Tuition fee (EEA)

990 000 HUF/semester

cca. 2 500 EUR/semester*

Tuition fee (Non-EEA)

3 300 EUR/semester

*The official price list can be found in the annex to the Regulation on Student Fees and Benefits.

This programme is available only in English.

What will you study?

Year 1

Core Modules*

Business economics, Accounting
Mathematics
Introduction to the data science and programming, Advanced programming
Database systems, Advanced Database Systems

Year 2

Core Modules*

Management of Processes and Operations, Managerial accounting, Marketing
Statistics and data visualisation, Statistical modeling
Software developing, Project Management in Data Science
Data wrangling (project subject), Self-service BI, Enterprise Data Analysis

Year 3

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
Large-scale (big) data architecture, Machine learning in Practice, Text analytics,
Data warehouses and business analytics

Year 4

Core Modules*

Internship, elective courses, thesis work

* The above is not an exhaustive list. Corvinus University of Budapest reserves the right to change modules.

In the first two years, there is a strong emphasis on the study of mathematical and statistical concepts and models (using Excel and R) and on developing programming skills (Python, SQL etc.) to lay the foundation for artificial intelligence and machine learning methods. No prior programming knowledge is required, but you should be open to delving deeper into this area.

International opportunities

Exchange programmes

Corvinus has nearly 200 partners worldwide, and depending on the type of funding, you can apply to study at these institutions.

Application for international students

Application for Hungarian students

Borbásné Szabó Ildikó

Associate Professor

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.

Amirkhan Nurgul

Kazakhstan

Student - Data Science in Business

Studying Data Science in Business at Corvinus University has been the start of an incredible journey into the world of data and analytics. The curriculum combines essential theoretical courses like Linear Algebra, Statistics, Programming in Python with hands-on opportunities to tackle real-world challenges using Machine Learning, Big Data, and other advanced technologies. Beyond academics, the university provides various opportunities for student growth by organizing Business & Career Festivals, AI conferences, and lecture guests from international industry leaders, creating a truly enriching and empowering learning experience.