Earn an MSc in Data Science Online

and advance your career with industry & academia experts

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MSc in Data Science – Distance Learning

Duration:
3 Semesters

Qualification Awarded:
Master of Science in Data Science

Language:
English

Mode of Study:
Distance Learning

Earn  an MSc in Data Science Online

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)

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.

  • Renowned faculty from around the world, with extensive industry expertise

  • A fully online course leading to a University of Nicosia degree

  • Option of full-time or part-time study, depending on your schedule and commitments

  • Flexible Specialization, Experiential Learning, Interactive Learning Platform

  • Partnered with Expedia & M Competition: Data Science Instructors with Industry Experience. Data Providers

  • Work on Real Data Science challenges

  • Earn certificates from NVIDIA’s Deep Learning Institute, Google Cloud Skill Badges and Amazon Web Services Academy Cloud Practitioner Certificates

  • Opportunity to participate in the M Competition and the M Conference

  • Courses built based on the industry requirements

  • Earn a degree in one of the most in-demand job fields globally

  • Access to an extended business network & connected with global employers

  • Award-winning e-learning technologies and the first university in Europe to receive triple-certification for online education

Who is this Programme for

The MSc in Data Science 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

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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

  • 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

Flexible Learning Tailored to Your Needs

Our Programme is Tailored to the Needs of 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 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.

Some of Our Courses

  • COMP-542DL – Data Programming
  • COMP-540DL – Mathematics for Data Science
  • COMP-543DL – Data Management and Visualization
  • COMP-544DL – Machine Learning
  • COMP-548DL – Big Data Management & Processing
  • COMP-546DL – Deep Learning and Reinforcement Learning
  • COMP-549DL – Artificial Intelligence
  • COMP-551DL – Business Intelligence
  • COMP-547DL – Social and Web Data Mining
  • COMP-553DL – Data Science in Medicine and Bioinformatics

Our Faculty

Renowned Academics From Around the World With Extensive Industry Expertise

Ioannis Katakis, Associate Professor, University of Nicosia

Athena Stassopoulou, Professor, University of Nicosia

Demetris Trihinas, Lecturer, University of Nicosia

Spyros Makridakis, Professor, University of Nicosia (Institute for the Future), Founder, M-Competitions

Thomas Liebig, Head of Data Science, Materna, Germany

Nectarios Papanicolaou, Professor, University of Nicosia

Ioannis Partalas, Machine Learning Scientist, Expedia, Switzerland

Eirini Spyropoulou, Team Lead, Document Intelligence Center of Excellence, Greece

Kalia Orphanou, Senior Researcher, University of Cyprus

George Portides, Assistant Professor, University of Nicosia

Francois Schnitzler, InterDigital, France

Panagiotis Kasnesis, Certified Instructor, NVIDIA Deep Learning Institute

Our Guest Lecturers

Elia Kouzari
KPMG, Cyprus

Pasquale Cirillo
TU Delft, Netherlands

Dimitrios Kotzias
Google Brain, Switzerland

Adam Woznica
Expedia, Switzerland

Konstantina Christakopoulou
Google Brain, USA

Kevin Na
VISA, United Kingdom

Slawek Smyl
Facebook, California, U.S.A

Evangelia Christakopoulou
Apple, California, U.S.A

Fabian Hadiji
Jodel, Germany

Elizabeth Daly
IBM Research, Ireland

Constantine Dovrolis
Georgia Institute of Technology, U.S.A

Konstantina Bereta
MarineTraffic, Athens

Georgina Tryfou
ImpacTech, Cyprus

Marios Dikaiakos
University of Cyprus, Cyprus

Partnered with Expedia Group

  • One of the Most Technologically Advanced Firms in the Travel & Tourism Industry

  • Instructors that Tackle Real-Wold Data Science Challenges

  • Potential for Internship

Earn an NVIDIA Deep Learning Institute Certificate

  • The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a certificate of competency to support professional growth

  • In collaboration with NVDIA Deep Learning Institute students of the MSc in Data Science, can participate in workshops offered by certified NVIDIA DLI instructors and obtain a certificate from NVDIA DLI in state-of-the-art Deep Learning technologies

Partnered with M Competitions

  • The University of Nicosia hosts the M Competitions, one of the largest data forecasting competitions in the world

  • Over 30,000 teams globally participated in the M5 competition

  • The current fifth edition (M5) of the Competition is taking place in collaboration with other leading universities in the field of forecasting (INSEAD and the National Technical University of Athens) and some of the most advanced and innovative corporate users of data science in the world (Google, Walmart, and Uber)

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

  • Students will have the opportunity to work with data from the competitions, interact with the organizers and participate in future competitions and conferences

Google Cloud

  • COMP-543DL “Managing and Visualizing Data” and “COMP-548DL: Big Data Management and Processing” are supported by the Google Cloud Platform (GCP) by graciously offering its Students with free credits, interactive labs and online teaching resources

Each AWS Academy Cloud Practitioner Certificate

  • UNIC has partnered with AWS Academy to offer its students with interactive labs and hands-on training to acquire cloud computing skills tailored to Data Scientists and earn the AWS Cloud Practitioner Certificate

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Tuition and Scholarships

The total cost of the master’s programme is €12,060.

Scholarships

The University of Nicosia believes strongly in expanding accessibility to and affordability of higher education. Over the last decade, the University of Nicosia has awarded over €100 million euros of financial aid to students through a combination of merit scholarships, need-based scholarships and work-study programs.

Since the MSc program has a rolling admissions policy, scholarships are reviewed and awarded monthly, in conjunction with admissions decisions.

Data Science Merit Scholars

Type: Merit BasedAmount: 20%- Students with strong undergraduate academic records. Minimum level for consideration is a GPA > 3.2 or equivalent.- Publications in peer-to-peer data science conferences/journals will be considered.- Data Science related achievements (e.g. excellence in Kaggle competitions, contributions to open source projects) will be considered.- Industry experience/leadership in data-driven applications will be appreciatedLEARN MORE
20%
Number Available
Up to 3 per month (up to 36 annually)

Application Process
Submit MSc in Data Science Scholarship Application, including supporting documents.

Opportunity Scholars

Type: Need Based
Amount: 20% to 70%

- Students with financial need who can benefit from this program are eligible to apply for this need-based scholarship award.
- To be considered for this scholarship, in addition to the scholarship application, students need to provide an income statement / evidence of financial need.
- Scholarships are awarded based on a sliding scale based on financial need metrics and subject to budget availability.

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20-70%
Number Available
Up to 3 per month (up to 36 annually)

Application Process
Submit MSc in Data Science Scholarship Application, including an income statement / proof of financial need.

Data Engineering Work-Study Scholars

Type: Work-Study
Amount: 15%-30%

- Students with the interest and capability to work as research assistants at the University of Nicosia and tackle challenging tasks in the data science arena.
- Positions are allocated based on position and project availability.

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15-30%
Number Available
Up to 2 per month (up to 24 annually)

Application Process
Submit MSc Data Science Scholarship Application, including a brief proposal explaining what services you can provide to the university.

UNIC Alumni Scholarship

Type: UNIC Alumni
Amount: 10%

- Students who graduated from the University of Nicosia with a Bachelor’s or Master’s degree (Alumni).

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10%
Number Available
Unlimited

Application Process
Submit MSc Data Science Scholarship Application, including your UNIC Student ID number.

Scholarship Terms

  • Scholarship applications are reviewed on a monthly basis. Applications must be submitted by the last day of the month to be eligible for that month’s review.
  • Only students who have completed their MSc application and have been accepted to the MSc are eligible to submit a scholarship application.
  • Students eligible for more than one type of Scholarship/Financial Aid will be awarded the scholarship constituting the highest amount.
  • Scholarships are applied on a pro-rata basis to each course in the MSc.
  • The University of Nicosia reserves the right, at its sole discretion to award or not award any scholarship to any student and/or to change the number of scholarships awarded, their eligibility requirements or any other aspect of the financial aid program.

Scholarship Application for MSc in Data Science

Study at the University of Nicosia (UNIC)

  • Ranked among the Top 501–600 universities in the world (THE WUR 2026)
  • Ranked among the Top 151 universities in the European Union (THE WUR 2026)
  • #1 among Greek and Cypriot universities for Research Quality (THE WUR 2026)
  • Ranked in the global Top 600 for sustainability impact (THE Sustainability Impact Ratings 2026)
  • Ranked 301–400 globally for Good Health and Wellbeing (THE Sustainability Impact Ratings 2026)

UNIC’s Vibrant Urban Campus

With Probably the Best Student Residences in all of Europe

  • Vibrant campus situated amid the urban landscape in the bustling suburb of Engomi in Nicosia

  • 20 purpose-built and customised modern buildings

  • 70+ restaurants, cafeterias and shops within walking distance of the main campus buildings

  • UNIC Residences are some of the most stunning and architecturally distinct student residences in the world

  • Diverse and multicultural student community of 11,500+ students from over 100 countries

Student Success Stories

See what it means to be part of the UNIC family and find out what it feels like to follow your dreams and THINK BIG. EVOLVE.

“The MSc Data Science program combines a well-structured curriculum with many lectures, experienced professors experts in their fields always ready to help you and guide you, guest lectures, and connection with the industry. We had the opportunity to meet up with experts from around the world, learn from their experiences, and also get an insight into new areas of Data Science and AI. Last but not least, it allowed me to start a new career as a Machine Learning Researcher in the UNIC’s AI Lab.”

Evangelos Mathioudis (Greece), MSc in Data Science - Distance Learning

“After a thorough research of my options regarding an MSc in Data Science, I decided to study at the University of Nicosia. Right from the start, I realized that I had made the best decision, and by the time I completed my studies, due to the guidance-expertise of my professors, and the optimal structure of the program, I had gained a vast amount of knowledge in Data Science. Also, I had developed other skills which are equally important. For example, I considerably improved my critical thinking, the communication, research, self-teaching and time-management skills. As a result, before even finishing the program, I managed to land my first job in Data Science in one of the best companies in Greece, and not only to meet the expectations of my role, but also to surpass them. And imagine that before my studies I didn’t have a clue in things like programming!”

Nikolaos Fritzalas (Greece), MSc in Data Science - Distance Learning

“Are you in doubt whether you would need a computer science degree in order to become a data scientist? Please think again! I studied chemical engineering (and working as a chemical engineer) and I am now pursuing this fascinating master’s degree in Data Science at UNIC which I am really enjoying! The programme is very well structured (100% online and very interactive), professors are always willing to advise and support their students and guest lectures (that we are very lucky to have) help students to understand data science in the real world through some very interesting talks.”

Natasa Petrou (Cyprus), MSc Data Science - Distance Learning

“The UNIC MSc Data Science program is the study opportunity you are looking for. A step towards your next job in the field of AI. Thanks to the professors and guests, academia experts and industry professionals, this program provides all the knowledge necessary to start a career in Data Science. It helps you grow and develop yourself in this field and prepares you to overcome the future challenges of AI.”

Pierluigi Costanzo (Poland), MSc Data Science - Distance Learning

“The University of Nicosia MSc Data Science program offered me a very exciting and flexible learning experience even though I had full time job commitments. The program offers broad hands-on skills and exposure to real world experiences through interactions with industry experts from renowned companies such as Google, Facebook, IBM, and Expedia.  I liked the program’s emphasis on ‘techniques, concepts and methodologies, which persist’ rather than tools that may suddenly emerge and vanish. Sounds good? Better still, the greater portion of my fees was covered by a scholarship, thus enabling me to successfully complete my studies.”

Bigboy Mutichakwa (Zimbabwe), MSc Data Science - Distance Learning

“I wanted a master program that has a thorough in-depth curriculum in data science but is also teaching how to apply those concepts in the real world. The UNIC MSc Data Science program is carefully curated to this effect. But what really exceeded my expectations are the teachers that are experts in their fields from academia and the industry that provide you the knowledge and help you need to understand what it takes to succeed in this field.”

Philipp Beer (Germany), MSc in Data Science - Distance Learning