Overview
The Master’s programme in Data Science and Machine Learning at Hellenic Open University focuses on computational (hands-on) applications of these methods, using data from the fields of modern sciences (sciences, engineering, computer science, humanities, health sciences). At the same time, students will be trained in programming languages and modern computational tools. The MSc aims to combine basic knowledge with specific applications so that its graduates have the appropriate modern skills in an ever-changing job market.
Career
- Graduates of the programme can pursue various career paths, working in diverse industries such as technology, healthcare, finance, and research.
- They are equipped for roles that involve data analysis, machine learning algorithm development, and data-driven decision-making.
- Alumni have successfully secured positions in leading organisations, leveraging their expertise to drive innovation and efficiency.
Programme Structure
Courses include:
- Mathematics for Machine Learning
- Foundations in Computer Science
- Algorithmic Techniques and Systems for Data Science and Machine Learning
- Numerical and Computational Techniques for Data Science and Machine Learning
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Patras, Greece
Disciplines
Data Science & Big Data Machine Learning View 4 other Masters in Machine Learning in GreeceWhat 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
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A degree or diploma in a related discipline from an accredited higher education institution.
- Knowledge of English at a B2 level or higher, as the program is offered in English.
- Knowledge of an extra foreign language, good computer/Internet skills and feeling comfortable with math at an International Baccalaureate level are recommended.
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.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Hellenic Open University and/or in Greece, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents1500 EUR / year≈ 1500 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals1500 EUR / year≈ 1500 EUR / year
Living costs
Pátrai
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility