MSc in Data Analytics for Business – Distance Learning
Program Overview
The MSc in Data Analytics for Business program is a gateway to the dynamic intersection of Business and Data Science. Designed for both students and professionals, this unique degree equips students with the skills to harness the potential of data in solving real-world business challenges and driving informed decision-making.
The MSc in Data Analytics for Business is delivered in distance learning mode, providing flexibility and accessibility without compromising on quality.
MSc in Data Analytics for Business – Distance Learning) Program includes:
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Admissions Requirements
1.Bachelor’s degree and transcripts from an accredited program. In terms of GPA, we expect 2:2 and above from UK schools, 3.0 and above from US schools, and 6.5 and above or the equivalent from Cypriot and Greek Universities and colleges. Candidates with a lower grade than the above, might be admitted if they have compensatory strengths in terms of work experience or other accomplishments (for example, CFA, ACCA, or ACA).
2.Native speaker of English or graduate of a high school or university where the language of instruction is English, or IELTS with a score of at least 5.5, or TOEFL with a score of at least 250 (computerized) or 550 (conventional), or Password-plus 5.5.
3.Knowledge of English language. Click here to learn more.
The University of Limassol grants a number of competitive scholarships based on academic criteria and subsidised tuition fees on socioeconomic criteria.
Program Learning Outcomes
- Develop deep understanding of digital transformation challenges in data-driven companies
- Demonstrate proficiency in information security concepts
- Identify and comprehend basic concepts of organizational IT infrastructures
- Apply data mining/analytics theories effectively for real-world business problem-solving
- Evaluate applicability of business intelligence and data analytics techniques across various contexts
- Acquire practical skills in managing the data analytics pipeline efficiently
- Master data visualization techniques for clear communication of results
Program Requirements
To graduate students are required to earn 90 ECTS credits as follows:
60 ECTS from taught Core courses
20 ECTS from taught Elective courses
10 ECTS from the final project which can be either a real-world practical project or a research-oriented project.
Core Courses
1. BAN601 – Quantitative Methods for Business Analytics
ECTS Credits: 10
2. BAN602 – Programming for Business Analytics
ECTS Credits: 10
3. BAN603 – Data Management and Business Intelligence
ECTS Credits: 10
1. BAN621 – Data-driven Decision Making in Business
ECTS Credits: 10
2. BAN622 – Digital Transformation of Businesses and Organizations
ECTS Credits: 10
3. BAN623 – Data Visualization and Reporting
ECTS Credits: 10
1. BAN700 – Project in Business Analytics Applications
ECTS Credits: 10
2. Elective Course 1
ECTS Credits: 10
3. Elective Course 2
ECTS Credits: 10
Elective Courses
1. BAN631 – Information Security Strategy for Business
ECTS Credits: 10
2. BAN632 – Agile Project Management
ECTS Credits: 10
3. MB870 – Strategic & Digital Marketing Management
ECTS Credits: 10
4. MB880 – Strategic Decision Making & Planning
ECTS Credits: 10
5. DF622 – Data-driven Financial Analytics
ECTS Credits: 10
6. DF623 – Applications of Artificial Intelligence in Finance
ECTS Credits: 10
Instructors
Program Director
Dr. Christodoulos Efstathiades
PhD in Computer Science (Data Management and Analytics), National Technical University of Athens
MSc in Networked Computer Systems, University College London (UCL)
BSc Computer Science, University of Cyprus
1. Dr. Theodosis Mourouzis | Associate Professor
PhD in Information Security and Cryptography, University College London (UCL),
Master of Research (MRes) in Security Science, UCL
Master of Advanced Study in Mathematics, Cambridge University
BA/MA with Honors in Mathematics, Cambridge
2. Dr. Luca Ferrarini | Assistant Professor
Ph.D. in software engineering (Machine Learning and Computer Vision,
Leiden University Medical Center
M.Sc. in Computer & Software Engineering (cum laude),
University of Modena and Reggio Emilia, Italy
3. Dr. Andreas Artemiou | Professor
Ph.D in Statistics, Pennsylvania State University
MSc in Statistics, Pennsylvania State University
BSc in Mathematics and Statistics (minor Computer Science), University of Cyprus
4. Dr. Waldermar A. Pfoertsch | Professor
Masters in Economic and Business Administration, Freie Universität Berlin
PhD in University Technology Transfer, 1981, Freie Universität Berlin
5. Dr. Paris Cleanthous | Associate Professor
MA, MSc, and PhD in Economics, Yale University
BSc Economics and Mathematics University of Michigan, Ann Arbor
6. Dr.Andrey Afanasiev | Associate Professor
Ph.D. in Finance, 2003, Institute of Economics, RAS
MSc Finance and Credit, 1996, Pacific State University of Economics
Ph.D. in Mathematics, 1993, Steklov Mathematical Institute, RAS
MSc Systems of Automatic Control, 1989, Moscow Institute of Physics and Technology (State University)
7. Dr. Ioannis Kiouvrekis | Visiting Professor
PhD Mathematics (Topological Models, Computer Science Semantics and Applications of Logic in AI), National Technical University of Athens
MSc Mathematics, National Technical University of Athens
Diploma (Eng) Mathematics, National Technical University of Athens
8. Dr. Michalis Christofi | Visiting Professor
PhD in Algorithmic Design, King’s College London
MSc in Operations and Research, London School of Economics (LSE)
BA in Mathematics, University of Cambridge
9. Dr. Sotirios Zikas| Visiting Professor
PhD candidate in AI (Neurosymbolic Computation in Explainable Artificial Intelligence), University of Thessaly
MSc Cognitive Systems, University of Cyprus and Open University of Cyprus
BSc Energy Engineering, University of West Attica
10. Dr. Anna Lahtinen| Visiting Professor
Doctor of Business Administration, 2010, Grenoble School of Management, France
Master of International Business, 2005, Stockholm School of Economics, Sweden
Executive MBA, 2005, Stockholm School of Economics, Sweden
Bachelor of Business Administration, 2003, Helia University of Applied Sciences (currently known as Haaga-Helia University of Applied Sciences), Finland
English (UK) 
Ελληνικά