Information
The MSc in Data Science programme 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 programme’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 programme 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 programme 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 programme, 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 to transform data into actionable insights.
Program
First Semester
- DSC 510: Introduction to Data Science and Analytics (offered by CS) 8 ECTS
- DSC 530: Probability and Statistics for Data Science (offered by MAS) 8 ECTS
- DSC 531: Statistical Simulation and Data Analysis (offered by MAS) 8 ECTS
- One Free Elective Course (offered by other entities of the University of Cyprus, e.g. Department of Law, Center for Entrepreneurship etc.) 4 ECTS
Second Semester
- DSC 511: Big Data Analytics (offered by CS) 8 ECTS
- DSC 550: Business Analytics Applications (offered by BUS) 8 ECTS
- DSC 532: Statistical Learning (offered by MAS) 8 ECTS
- One Free Elective Course (offered by other entities of the University of Cyprus, e.g. Department of Law, Center for Entrepreneurship etc.) 4 ECTS
Summer Semester
- Capstone Project in Data Science (1st Phase) 5 ECTS
Third Semester
- Computer Science Track/ Statistics Track/Business Analytics Track Course 8 ECTS
- Computer Science Track/ Statistics Track/Business Analytics Track Course 8 ECTS
- Computer Science Track/ Statistics Track/Business Analytics Track Course 8 ECTS
- Capstone Project in Data Science (2nd Phase) 5 ECTS
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