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.

Application fee €75 one-time
More information

uni-corvinus.hu/..nce-in-business/?lang=en 

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.

Apply now! Academic year 2024/25
Application deadline
30 Apr 2024, 23:59:59
Central European Time
Studies commence
9 Sept 2024
Apply now! Academic year 2024/25
Application deadline
30 Apr 2024, 23:59:59
Central European Time
Studies commence
9 Sept 2024