Overview

The Master of Science in Data Analysis and Machine - Statistical Learning at the University of Crete is a comprehensive programme that prepares students for the evolving landscape of data science. This degree is integrated within a collaborative academic ecosystem involving the Department of Mathematics and Applied Mathematics, the Department of Computer Science, and the Foundation for Research & Technology Hellas (FORTH). The programme is structured to foster innovation, research, and practical applications in statistical learning and data analysis.

Why Data Analysis and Machine - Statistical Learning at the University of Crete?

The University of Crete is renowned for its commitment to providing high-quality education and facilitating partnerships between academia and industry. The institution boasts cutting-edge facilities and a strong emphasis on research output, creating an ideal environment for students to thrive. The collaborative efforts with FORTH enhance the learning experience, offering students access to advanced resources and expertise in the field.

Tuition Fee Breakdown

The tuition fees for the programme are structured as follows:

International students: EUR 3,500 per year
European students: EUR 2,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to provide a robust foundation in data analysis and machine learning, comprising three types of courses: Preparatory, Core, and Elective. The key components include:

Preparatory courses to equip students with essential knowledge and skills.
Core courses focusing on fundamental principles of statistical learning and data analysis.
Elective courses allowing students to specialise in areas of interest within the field.

Careers with Data Analysis and Machine - Statistical Learning

Graduates of this programme can expect to find diverse career opportunities across various sectors. Alumni have successfully secured positions in leading companies and organisations, focusing on roles such as data analysts, machine learning engineers, and research scientists. The skills acquired through this programme prepare students for impactful careers in industries ranging from technology to finance and beyond.

Programme Structure

Courses include:

Data Structures

Data Science

Mathematical and Computational Statistics

Numerical Algorithms

Advanced Machine Learning

Big Data Analytics

Computer Aided Geometric Design

Design and Analysis of Algorithms

Key information

Duration

Full-time
- 18 months

Start dates & application deadlines

Starting 2026-09-01 00:00:00
- Apply before 2026-05-26 00:00:00

Language

English

Credits

90 ECTS

Delivered

On Campus

Campus Location

Rethymno, Greece

Disciplines

Statistics Data Analytics

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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

The programme accepts applicants with a strong background in mathematics, computer science, engineering, statistics, and applied mathematics. Suitable candidates should hold a recent university degree in any of the above or similar disciplines.

The selection criteria are:

personal interview,
undergraduate scores,
recommendation letters, awards, or any other academic achievements.

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 now

Starting 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 University of Crete and/or in Greece, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

3500 EUR / year

≈ 3500 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

2000 EUR / year

≈ 2000 EUR / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Analysis and Machine - Statistical Learning.

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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