MSc in Data Science
University of Cyprus
Key Information
Campus location
Aglantzia, Cyprus
Languages
English
Study format
On-Campus
Duration
18 months
Pace
Full time
Tuition fees
EUR 5,125
Application deadline
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Earliest start date
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Introduction
The MSc in Data Science program brings together the expertise of three departments in the University of Cyprus – Business and Public Administration, Computer Science, and Mathematics and Statistics – to prepare the next generation of data-oriented thinkers.
Data science is a modern interdisciplinary field that uses scientific methods, processes, algorithms, and systems in order to extract knowledge and insights from data. The program’s objective is to offer a strong understanding of basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and business analytics.
The program is designed for students that have a background in STEM or in Business and Economics, who can demonstrate good knowledge of English, and who, as part of their undergraduate degree, have completed an introductory statistics course, as well as a course in a programming language such as Python and/or R (see Admissions for further information).
The duration of the program is 18 months (90 ECTS). The first two semesters are dedicated to core courses and homogenize students’ knowledge on the basics of data science. The third semester allows students to select one of three tracks: Computational Science, Statistics, and Business Analytics. In the summer semester, the Capstone project brings students in contact with real-world problems and helps them cement the knowledge and skills they acquired.
At the completion of the program, students will have gained skills that are critical in a modern data-driven world and will be in a position to think across disciplines and transform data into actionable insights.
Why study
Premier research university
Striving for excellence in education, research, and innovation, the University of Cyprus has managed, in less than 30 years, to become one of the leading institutions of higher education in Europe. Ranked 1st in securing European funding from all organizations from the 27 WIDENING countries, the University of Cyprus has secured nearly 100 research projects with total funding of more than €60 million.
Academic Quality
Aspiring to function as a beacon of science and creativity, the University of Cyprus enjoys a reputation for cutting-edge research and high-quality teaching and offers an increasing range of graduate programs in English. With around 7.000 students, 800 faculty and staff members, and 15 well-funded research centers, UCY is a rapidly expanding university and the biggest employer in Cyprus for young researchers.
Cutting Edge Facilities
Classrooms fully equipped for hybrid learning. A data center with high-performance computing clusters. A world-class library, open 24/7. A beautiful and growing campus with restaurants, cafes, and stores. The University of Cyprus’ infrastructure compares favorably to top European Universities.
World-Class Faculty
Our faculty in the MSc in Data Science program includes editors of top tier Academic Journals, has been featured in top scientific and media outlets, including CNN and the New York Times, has won multi-million Euro competitive European grants, and has been invited to help to lead the US and European brands in sectors that include retail, clothing, media, and pharmaceuticals, analyze their data and solve complex problems.
Industry Connections
The MSc in Data Science launches with strong support from leading Cypriot organizations. Real-world experience and networking opportunities will help launch and accelerate our graduates’ careers.
Gallery
Admissions
Scholarships and Funding
Erasmus+ Master Degree Loans
The European Investment Fund (EIF) is working with the University of Cyprus to launch a new pilot scheme, allowing students to use the Erasmus+ Master Degree Loans to finance their Master degree studies in an Erasmus+ Program country. This agreement will support students resident in any of the 32 other Erasmus+ Program Countries to move to Cyprus in order to undertake their Master's program at the University of Cyprus.
To be eligible to apply for an Erasmus+ Master Degree Loan:
- You must hold a recognized first-cycle (undergraduate) qualification.
- You have not obtained your previous academic qualifications from any Institution in Cyprus.
- You have applied for and been accepted for a Master’s place in one of the Master's degree programs of the University of Cyprus
- You have not already entered into a student loan covered by the Erasmus+ program with an entity other than the University of Cyprus.
- You must be a resident of a program country other than Cyprus.
Scholarships
The University of Cyprus offers a limited number of tuition scholarships to selected students admitted to the program. All applicants for admission will be considered for these awards on a competitive basis. These scholarships will cover a portion of the tuition costs.
Data science is a modern interdisciplinary field that uses scientific methods, processes, algorithms, and systems in order to extract knowledge and insights from data. The program’s objective is to offer a strong understanding of basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and business analytics.
The program is designed for students that have a background in STEM or in Business and Economics, who can demonstrate good knowledge of English, and who, as part of their undergraduate degree, have completed an introductory statistics course, as well as a course in a programming language such as Python and/or R (see Admissions for further information).
The duration of the program is 18 months (90 ECTS). The first two semesters are dedicated to core courses and homogenize students’ knowledge on the basics of data science. The third semester allows students to select one of three tracks: Computational Science, Statistics, and Business Analytics. In the summer semester, the Capstone project brings students in contact with real-world problems and helps them cement the knowledge and skills they acquired.
At the completion of the program, students will have gained skills that are critical in a modern data-driven world and will be in a position to think across disciplines and transform data into actionable insights.
Curriculum
The Master in Data Science is a highly selective program for students who want to begin or advance their careers in Data Science.
The duration of the program is 1,5-years (90 ECTS), while the language of instruction is English. The program offers 3 tracks (Computer Science Track / Statistics Track / Business Analytics Track). The first two semesters will be dedicated to core courses; students will select a track at the end of the second semester. Part of the program is the Capstone project in Data Science, where students tackle specific and practical problems of an interdisciplinary nature. In this course, students engage in all aspects of the lifecycle of data science projects – from process modeling, data extraction, cleaning, and validation, to data interpretation and visualization. The capstone project will begin in the summer term, after the end of the second semester.
Course Schedule
First Semester | ECTS |
DSC 510: Introduction to Data Science and Analytics (offered by CS) | 8 |
DSC 530: Probability and Statistics for Data Science (offered by MAS) | 8 |
DSC 531: Statistical Simulation and Data Analysis (offered by MAS) | 8 |
One Free Elective Course (offered by other entities of the University of Cyprus, e.g. Department of Law, Center for Entrepreneurship, etc.) | 4 |
Second Semester | ECTS |
DSC 511: Big Data Analytics (offered by CS) | 8 |
DSC 550: Business Analytics Applications (offered by BUS) | 8 |
DSC 532: Statistical Learning (offered by MAS) | 8 |
One Free Elective Course (offered by other entities of the University of Cyprus, e.g. Department of Law, Center for Entrepreneurship, etc.) | 4 |
Summer Semester | ECTS |
Capstone Project in Data Science (1st Phase) | 5 |
Third Semester | ECTS |
Computer Science Track/ Statistics Track/Business Analytics Track Course | 8 |
Computer Science Track/ Statistics Track/Business Analytics Track Course | 8 |
Computer Science Track/ Statistics Track/Business Analytics Track Course | 8 |
Capstone Project in Data Science (2nd Phase) | 5 |