Overview
The M.Sc. in Data Science at Eötvös Loránd University (ELTE) equips students with essential skills to navigate the complexities of data analysis and management. This two-year programme, comprising four semesters, is designed to prepare graduates for the rapidly evolving field of data science. Students will gain a robust understanding of various data types, data structures, and the methodologies required to analyse and interpret data effectively.
Why Data Science at Eötvös Loránd University?ELTE is renowned for its academic excellence, supported by a highly qualified faculty and state-of-the-art facilities. The university's commitment to research and collaboration with industry partners, such as Deutsche Telekom, provides students with unique opportunities to engage in real-world projects. This programme is structured to ensure that students not only learn theoretical concepts but also apply them in practical settings, enhancing their employability in the data science sector.
Tuition Fee BreakdownThe tuition fee for the M.Sc. in Data Science is €3,200 per semester for both international and European students. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Data Analysis Techniques
- Information Systems
- Machine Learning and Data Mining
- Business Analytics and Reporting Tools
- Visual Analytics Tools
- Big Data Technologies
- Data Ethics and Security
The curriculum emphasises both theoretical knowledge and practical skills, enabling students to design and implement software solutions that support data-driven decision-making. Graduates will be well-versed in scalable data collection techniques and the use of various tools for data processing and analysis.
Careers with Data ScienceGraduates of the M.Sc. in Data Science will find numerous career opportunities in diverse industries. Potential job roles include Data Scientist and Data Analyst. The skills acquired during the programme prepare students to work in sectors such as healthcare, finance, and technology, where data-driven insights are crucial for success. Alumni of the programme are well-equipped to tackle real-world challenges and contribute significantly to their organisations.
Programme Structure
Courses include:
- Data Analysis and Visualization
- Machine Learning and Predictive Modeling
- Big Data Technologies
- Statistics in Data Science
- Data Mining and Knowledge Discovery
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Budapest, Hungary
Disciplines
Data Science & Big Data View 6 other Masters in Data Science & Big Data in HungaryWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Holding a BSc degree in Computer Science or obtaining altogether at least 60 ECTS credits in informatics and mathematical subjects during a completed Bachelor's program related to Computer Science.
Language requirements
Minimum level of language proficiency (oral) (A1-C2): B2Minimum level of language proficiency (written) (A1-C2): B2
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Eötvös Loránd University and/or in Hungary, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents6400 EUR / year≈ 6400 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals6400 EUR / year≈ 6400 EUR / year
Living costs
Budapest
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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