MSc in Data Science
The MSc in Data Science from University of Cyprus 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.
Duration
18 months
Starting Date
September, January
Tuition Fee
€ 5,125
Location
Nicosia, Cyprus
About the programme
The MSc in Data Science from University of Cyprus 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 MSc in Data Science from University of Cyprus 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.
Structure
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.
Courses Included
- Probability and Statistics for Data Science
- Statistical Simulation and Data Analysis
- Big Data Analytics
- Business Analytics Applications
- Statistical Learning
- Computer Science Track/ Statistics Track/Business Analytics Track Course
Interested? Get started today!
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