Earn an MSc in Data Science Online

and advance your career with industry & academia experts at the First University in Europe with 5 QS Stars in Online Education

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MSc in Data Science

Duration
3 Semesters

Qualification Awarded
Master of Science in Data Science

Language
English

Mode of Study
Distance Learning

  • Advance your career with data science skills which are in high demand in a wide range of areas (from Marketing to Finance and from Medicine to Psychology)

  • A wide range of interdisciplinary topics

  • Renown faculty distributed around the world, with industry expertise

  • Partnered with Expedia & M Competition: Data Science Instructors with Industry Experience. Data Providers. Work on Real Data Science challenges. Opportunity to participate in the M Competition and the M Conference. Much more

  • Courses built based on the industry requirements

  • The First University in Europe with 5 QS Stars in Online Education
  • Option of full-time or part-time study, depending on your schedule and commitments

An industry-driven, interdisciplinary MSc Degree

Through the MSc in Data Science of the University of Nicosia you will develop critical skills that will help design the appropriate data analysis pipeline. You will be able to collect requirements, design, implement, evaluate, and communicate a data science solution.

You will be given the opportunity to work in real-world problems with and with real data in collaboration with industrial partners (e.g. Expedia). You will gain hands-on experience with state-of-the-art data science technologies like Deep and Reinforcement learning.

After the completion of the MSc you will be in a position to pursue a career in applied data science positions where interdisciplinary skills are required (e.g. bioinformatics, computational social science, data-driven journalism, financial forecasting, etc.) or to conduct research and create new innovative methods.

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A fully online Master degree from the first university in the European Union to earn a 5-Star rating for online/ distance learning.

The programme is conducted completely online, with three courses delivered over 14 weeks each semester on an e-Learning Environment (Moodle), which includes multiple embedded synchronous and asynchronous learning activities, such as webinars, online chats, discussion fora and wikis. In addition, recorded lectures are designed to enhance student interactivity and active learning by including engaging slides with clickable tabs, interactive quizzes, drag-and-drop activities, matching activities and opinion polls.

Our programme follows standardised and validated pedagogical approaches, ensuring constant tutor-student interaction (webinars, online chats, discussion fora), student to student interaction (online chats, discussion fora, wikis), and student-material interaction (recorded lectures, additional resources).

Our dynamic programme is tailored to the needs of fulltime working professionals and new graduates. By choosing the number of courses per semester, students have the opportunity to determine their time schedule, study pace and workload. In addition, the distance learning mode, comprising online interactive lectures, tutorials, activities, and assignments, allows study outside normal working hours, as well as autonomy and control.

The MSc in Data Science programme is delivered over 3 semesters (18 months full-time, or up to 4 years part-time) and features 6 core courses and 3 elective courses, from a selection of 8 electives.

Who is it for?

This MSc is a perfect fit for…

  • Individuals already working in their own industries and wish to boost their career by gaining the most required skillset today

  • Students just graduating from various disciplines (Business, Finance, Marketing, Psychology, Computer Science) and want to pursue a Data Scientist position in their field

  • People that are excited to do research and innovation by developing their own tools or businesses in the domain of Big Data, Machine Learning and Artificial Intelligence

This MSc is a perfect fit for…

  • Individuals already working in their own industries and wish to boost their career by gaining the most required skillset today

  • Students just graduating from various disciplines (Business, Finance, Marketing, Psychology, Computer Science) and want to pursue a Data Scientist position in their field

  • People that are excited to do research and innovation by developing their own tools or businesses in the domain of Big Data, Machine Learning and Artificial Intelligence

Some of our courses

  • Data Programming

  • Mathematics for Data Science

  • Data Management and Visualization

  • Machine Learning

  • Big Data Processing

  • Deep Learning and Reinforcement Learning

  • Artificial Intelligence

  • Business Intelligence

  • Social and Web data mining

  • Data Science in Medicine and Bioinformatics

  • Data Programming

  • Mathematics for Data Science

  • Data Management and Visualization

  • Machine Learning

  • Big Data Processing

  • Deep Learning and Reinforcement Learning

  • Artificial Intelligence

  • Business Intelligence

  • Social and Web data mining

  • Data Science in Medicine and Bioinformatics

Why study Data Science?

Data-science related occupations: a projected growth rate between 2016-2026 higher than 10%, which places them amongst the top 10 occupations with the highest percent change of employment.

U.S. Bureau of Labor Statistics

Alarming shortage of data expertise in the EU. In the year 2017, the estimated Data Professionals Skills gap reached approximately 449,000 unfilled positions, corresponding to 6% of total demand. By 2025 the gap is expected to expand to 1 million unfilled positions in the EU member states.

EU Report

Amazon estimates that the cloud industry in the Middle East will need 10,000 data scientists.

World Economic Forum

Major gaps in ICT companies (Total Market, Large Companies) with skills like Artificial Intelligence, Big Data Analytics, Data Science.

IDC, Cyprus ICT 2019-2012 Forecast and Analysis

Data-science related occupations: a projected growth rate between 2016-2026 higher than 10%, which places them amongst the top 10 occupations with the highest percent change of employment.

U.S. Bureau of Labor Statistics

Alarming shortage of data expertise in the EU. In the year 2017, the estimated Data Professionals Skills gap reached approximately 449,000 unfilled positions, corresponding to 6% of total demand. By 2025 the gap is expected to expand to 1 million unfilled positions in the EU member states.

EU Report

Amazon estimates that the cloud industry in the Middle East will need 10,000 data scientists.

World Economic Forum

Major gaps in ICT companies (Total Market, Large Companies) with skills like Artificial Intelligence, Big Data Analytics, Data Science.

IDC, Cyprus ICT 2019-2012 Forecast and Analysis

Partnerships

  • Data Science Instructors with Industry Experience

  • Work on Real Data Science challenges

  • Data Providers

  • Internships

  • Prof Spyros Makridakis who is considered the father of Forecasting is part of our teaching faculty

  • Data Providers

  • Students will have the opportunity to participate in the M competition and the M Conference

Faculty

Ioannis Katakis, Associate Professor, University of Nicosia, Cyprus
Spyros Makridakis, Organizer of the M Competitions, Institute for the Future, Cyprus
Athena Stassopoulou, Professor, University of Nicosia, Cyprus
Demetris Trihinas, Lecturer, University of Nicosia, Cyprus
Francois Schnitzler, Lecturer, InterDigital, France
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The University of Nicosia in Numbers

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QS Stars for Online/Distance Education
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in the World for Blockchain & Digital Currency
#0
Ranked University in the EECA Region
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Students from Over 70 Countries
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Largest University in Southern Europe that teaches primarily in English
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Research Centres
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Student Mobility University Partners
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Bachelor, Master and Doctoral Degrees
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UNIC is a Distance Education Leader With the Highest Accolades

5 QS Stars

The University of Nicosia is the first university in Europe to receive a 5-Star rating for Online Education, as well as an overall rating of 4/5 stars, by QS Stars.

E-xcellence Label

The University of Nicosia has received the “E-xcellence Label” by the European Association of Distance Teaching Universities (EADTU).

EFQUEL

UNIQUe Certification for Quality in e-learning and Excellence in use of ICT in Higher Education, by the European Foundation for Quality in e-learning.

UNIQUe

UNIQUe Certification for Quality in e-learning and Excellence in use of ICT in Higher Education, by the European Foundation for Quality in e-learning.

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