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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.

The University of Limassol faculty team of the
 MSc in Data Analytics for Business – Distance Learning)  Program includes:
Click here ↗to learn more.

Recognized by KYSATS and Accredited by CYQAA

Mode of Delivery:

Distance Learning

Language of Study:

English

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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 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.

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

Core Courses

Semester 1

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

Semester 2

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

Semester 3

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

All students are required to select two (2) of the following optional modules.

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

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Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation. [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.