BSc Data Science in Business
| Study location | Hungary, Budapest |
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| Type | Undergraduate/Bachelor, full-time |
| Nominal duration | 8 semesters (240 ECTS) |
| Study language | English |
| Awards | (BSc Data Science) |
| Tuition fee | €3,300 per semester *The fee must be paid to NON EEA for the whole academic year, the amount for the two semesters in a single payment. |
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| Application fee | €75 one-time |
| Entry qualification | High school / secondary education (or higher) Your qualification must be legally recognised to be equivalent to a Hungarian high school diploma (Act C, Recognition, 2001). Mathematics proficiency – one of the following is required with the minimum scores stated: If you do not have one of the above you will be required to pass Corvinus’ internal mathematics exam. If your qualifications are not in English or Hungarian, official translations into English or Hungarian will be required for all diplomas and transcripts. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Territory requirements | If you are a Hungarian citizen and have studied at a school in Hungary, please apply via Felvi As of December 2021, Hungarian dual nationals and Hungarians who studied overseas or at international high schools in Hungary can apply to Corvinus as regular international students. |
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| Language requirements | English Applicants must have a minimum B2 level of English. The following secured English language tests with the minimum scores stated are accepted as proof: |
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| More information |
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Overview
The wizards of Big Data study at Corvinus!
Wondering how to use your mathematics and IT knowledge in value creation? Interested in supporting decision making and enhancing business operations? Are you keen to discover insights in big data?
You will learn how to:
• Evaluate insurance claims with the help of machine learning
• Optimise production processes by using machine learning algorithms
• Detect factors influencing tax avoidance
• Identify fake news with Natural Language Processing (NLP) methods.
Our practice-oriented degree programme provides you opportunities to explore these areas and acquire competences in data modelling and data analytics. Individual work and teamwork will equip you with strong methodological, IT and business competences.
If you want to continue your academic journey in this field, you can apply for several Masters and later PhD studies.
This programme offers a fantastic networking opportunity for future diplomats and others international professionals.
Entry requirements:
High school graduation
Mathematics proficiency (see above)
B2 Level English (see above)
Entrance exam:
Yes – if mathematics proficiency is not met
Type of entrance exam:
Written test
Entrance exam location:
Online
Entrance exam description:
We will evaluate your online application and supporting documents. Subject to paying the application fee, you will then be invited to participate in an online oral exam (interview).
Programme structure
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Career opportunities
Career possibilities include:
-Data Architect
-Data Engineer
-Data Scientist
-Statistician
-Business IT Analyst.
Central European Time
Central European Time