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.
Outcome:
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.
Intended learning outcomes:
Build strong background in Data Science
_ Master powerful tools that address a wide range
of topics in Data Science
_ Acquire statistical skills at an appropriately
advanced level
_ Acquire deep knowledge in one or more fields
of Data Science
_ Obtain familiarity with basic concepts in other
Natural and/or Social Sciences, pertinent to
data-driven discovery
• Build research foundations
_ Get acquainted with faculty research in fields of
Data Science
_ Demonstrate in depth understanding of a
breadth of disciplines, and become familiar with
the dominant research directions
_ Acquire experience of independent work, ideally
so in the context of class research projects
• Learn to solve real-world problems
_ Identify and assess the needs of an organization
for a data science task
_ Collect and manage the data needed
_ Interpret data science analysis outcomes
_ Transform findings into actionable business
strategies
_ Communicate data science-related information
effectively using audience-appropriate format
and delivery
_ Value and safeguard the ethical use of data
• Build multi-context skills
_ Develop transferable skills such as: oral and
written scientific communication, near fluent
use of scientific English, use of information/
communication technology, organization and
planning of group work
_ Exhibit versatility and innovative thinking in
addressing and managing open questions in
a variety of contexts, as an essential asset
for careers in research, industry, commerce,
education and the public sector
