More information 


Program description:
The aim of the program is to train professionals who can understand the properties of different types of data and the structure of complex data sets, unfold the relationships inherent in the data, apply the necessary transformations to raw data to prepare it for analysis, analyze data, draw conclusions from the data, and model real-world processes. They will also be able to develop and manage data-oriented applications, perform and coordinate R&D tasks and continue their studies in PhD programs.

Entry requirements:
Relevant Bachelor degree

Entrance exam:

Type of entrance exam:

Entrance exam location:

Entrance exam description:
The professional evaluation of the educational materials (degree, transcripts, results) is the task of the relevant Faculty. This evaluation is followed by a Skype interview with one of the professors of the Faculty, which aims to check the applicant’s level of motivation, language skills and professional knowledge. (In case of a missing certificate about the English language proficiency we conduct a Skype interview in order to check the applicant’s English language skills.)

Ms Lilla Almási-Fónai
Admissions Officer

Preparatory year available:

Specialisation year available:

Programme structure

Main subjects typically include (this list is indicative and may change):

Year Main subjects
1 Machine Learning Fundamentals, Statistical Foundations of Data Science, Optimization in Data Science, Data Visualization Methods, Data-oriented Programming, Cloud Computing, Information Security, Data Ethics
2 Modern Deep Learning Frameworks, Advanced Machine Learning, Advanced Reinforcement Learning, Big Data Technologies, Advanced Robotics, Self-driving Cars, AI Security, Financial Models, Genetics and Big Data

Internship, practice: Students should complete a 6-week internship either at the university working on research projects or at a multinational or local company.

Career opportunities

Data Science, MSc graduates have a comprehensive knowledge of the principles and methods of data science, as well as the technical background required to efficiently handle large and complex data sets. With these skills, graduates have a wide range of opportunities in a variety of industries, including positions such as data scientist, data analyst, data engineer, business analyst, or machine learning software developer.

Not available for applying at the moment

Application deadlines apply to citizens of: United States

Not available for applying at the moment

Application deadlines apply to citizens of: United States

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