MScData Science
| Study location | Hungary, Debrecen |
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| Type | Master, full degree studies |
| Nominal duration | 4 semesters (120 ECTS) |
| Study language | English |
| Awards | MSc |
| Course code | Computer Science and Information Technology |
| Entry qualification | Bachelor diploma (or higher) Relevant bachelor’s degree in information technology The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English English language proficiency equivalent to CEFR level B2 |
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| Other requirements | At least 2 reference(s) should be provided. |
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| More information |
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Overview
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:
Yes
Type of entrance exam:
oral
Entrance exam location:
Electronic
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.)
Contact:
Ms Lilla Almási-Fónai
Admissions Officer
lilla.fonai@edu.unideb.hu
Preparatory year available:
No
Specialisation year available:
No
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.