MSc Data Analytics
Delivery & Mode of Study
Language of Instruction
Credits
Factsheet
Introduction
Also available as Distance Learning.
The MSc Data Analytics programme at UCLan Cyprus is the only programme in Cyprus which offers the SAS Joint Certificate. UCLan Cyprus MSc Data Analytics graduates have the option to receive the SAS Joint Certificate in Business Intelligence and Data Mining in addition to their MSc award. The SAS Joint Certificate equips students with additional knowledge and skills to apply analytics to real business problems using real business data and provides students with a competitive advantage in the marketplace, through a professional certification which is in high demand by the market. The combination of the MSc Data Analytics programme and the SAS Joint certificate curriculum prepares graduates to work in a data-rich business environment and have a rewarding career in the digital age.
Data Analytics is the science that allows decision makers to unveil new business insights by examining large amounts of data to uncover hidden patterns, correlations and other important insights. This course is designed to provide graduates and working professionals with knowledge and a diverse set of skills that span across all layers of the knowledge discovery stack including storage, mining, analytics, decision support frameworks and visualisations, as well as practical experience with modern tools.
In particular, students will learn how to (i) analyse large data sets and summarise their main characteristics with the use of attractive data visualisations; (ii) design and create databases that allow organisations to efficiently manage and query their enterprise data; (iii) discover patterns in large data sets with established techniques from various fields such as statistics, machine learning and artificial intelligence; and (iv) understand today’s turbulent business environment and learn how modern BI tools enable organisations to survive and excel.
Read more about the SAS Joint Certificate here.Â
Career Opportunities
This course is designed to provide graduates and working professionals with skills that enable them to organise, analyse, explore, interpret and visualise their data, as well as acquire practical experience with modern tools. These skills can be used in virtually every industry domain that uses data, such as Business, Finance, Banking, Healthcare, Energy, Manufacturing, Technology, Marketing, etc.
Data Analyst
Focus: Analyzing complex datasets to extract meaningful insights, build predictive models, and guide business decisions using statistical and machine learning techniques.
Business Intelligence Analyst
Focus: Transforming raw data into actionable insights that help businesses improve decision-making, enhance efficiency, and develop strategies.
Data Engineer
Focus: Designing, building, and maintaining data pipelines, systems, and architectures to ensure smooth data flow and accessibility for analysis.
Quantitative Analyst
Focus: Using mathematical models and statistical techniques to analyze financial data, assess risks, and optimize investments.
Course Benefits
SAS Joint Certificate
This programme is the only MSc Data Analytics programme in Cyprus which offers the SAS Joint Certificate in Business Intelligence and Data Mining in addition to the MSc award.
Hands-On Experience with Real-World Data
Students have the opportunity to work on real-world datasets through projects and case studies, enabling them to apply their learning to practical business and industry challenges.
Industry-Relevant Tools & Technologies
The programme incorporates training in key tools and programming languages, such as Python, R, SQL, and big data platforms, which are essential for careers in data analytics and business intelligence.
Strong Career Opportunities
Graduates are equipped to work in various high-demand fields, including business analytics, financial services, healthcare, marketing, and tech, as data-driven decision-making continues to shape industries worldwide.
Cutting-Edge Knowledge & Skills
The programme provides comprehensive training in data analysis, machine learning, data visualization, and statistical techniques, equipping students with the latest skills needed to succeed in the rapidly evolving field of data science.
Access to Industry Networks & Support
UCLan Cyprus has established strong links with industry, providing students with opportunities for internships, networking, and collaboration with leading tech companies and analytics firms to enhance career prospects.
Course Visual Content
Programme Modules
Compulsory
Module Code:
CO4762 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- This module considers the concepts and applications of knowledge discovery. It discusses the architecture of data-warehouses and the processes involved in their creation and maintenance. A useful range of important techniques used to data-mine large datasets — to visualise, explore, and find unsuspected patterns, clusters, correlations, connections etc. — are discussed.The main objectives of the module are to:
- Understand the value of knowledge discovery in solving real-world problems
- Understanding of foundational concepts underlying data mining.
- Evaluate important knowledge discovery techniques
- Apply a wide range of knowledge discovery tools to real-world problems.
- Evaluate the processes involved in the creation and maintenance of data warehouses.
Module Code:
CO4761 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- The main aim of the module is to provide a comprehensive, up-to-date guide to modern management support system technologies, and showcase how they can be used for better decision-making.The main objectives of the module are to:
- Provide an in-depth knowledge of the use of enterprise systems
- Study the type of data that the enterprise systems generate
- Study how that data might be used to support decision making within an enterprise
Module Code:
CO4804 (L7)
Credit Value:
60 UK CREDITS / 30 ECTS
Module Aims:
- To develop the ability to solve complex problems, using appropriate skills and knowledge acquired elsewhere.
- To develop student’s ability to critically reflect on their work and on the work of others.
- To enable students to demonstrate disciplines of time management, project planning and reporting on progress.
- To encourage students to read to discover best practice.• To develop the ability to apply theory in the real world.
- To foster an attitude of constructive criticism in evaluation.• To use theory appropriately when communicating about project work
Module Code:
CO4820 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- The module aims to develop students’ research, critical analysis and academic writing skills to Masters level.
Optional
Module Code:
MD4099 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- This module aims to examine both the strategic and operational decisions that managers must make in order to engage in global activities. By engaging with the theoretical literature and examining international business in action, students will assess the links between globalisation and competitiveness, both at corporate and national levels. As a result students will be able to evaluate the impacts of globalisation and internationalisation. Detailed research into case-studies will also be conducted as a means of explaining the real-time situations they experience.
Module Code:
CO4102 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- Discuss the evolution of information systems and their historical role in organizations and importance of systems integration.
- Introduce and discuss the components and architecture of ERP (Enterprise Resource Planning) systems.
- Explore the role of an ERP system in an organization in terms of its efficiency and worker productivity.
- Critically evaluate the implementation process of an ERP system, including ERP selection, selection criteria, success factors and effective programme management.
- Identify the ethical, legal, global and security challenges related to ERP systems and implementations and how to protect the company assets.
- Discuss the role and goals of CRM (Customer Relationship Management) systems in the context of ERP.
Module Code:
CO4519 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- Demonstrate various AI models and techniques to develop understanding of AI solutions of a range of problems and explore the expected performance of such models.
- Practically explore a wide range of AI techniques, which are being applied in industry and/or research.
- To demonstrate an awareness of current and new/future developments in the field of AI and its applications.
- Identify and explore real-world problems and determine which AI approaches are suitable for their solutions.
Module Code:
CO4609 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- The aim of this module is to provide learners with the skills and knowledge to understand online marketing concepts and techniques together with key factors in implementation, measurement and evaluation of successful campaigns. It aims to provide students with
- Confidence and ability to discuss the use of Communication/Web Technologies in Marketing
- A sound understanding of both theory and practice of online marketing (referred to as e-marketing)
- An ability to make e-marketing decisions using case study material;
- An appreciation of the practical issues concerned with e-marketing
Module Code:
CO4759 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- This module addresses the needs of a business for a well-designed information system. The module studies the design processes in forming both logical and physical database models, leading to the development of a fully functional database system.The main objectives of the module are to:
- Apply design techniques to construct an information model.
- Study a relational database management system.
- Study and use the Structured Query Language (SQL)
- Design and develop a relational database according to the requirements of an organisation
Module Code:
CO4760 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- The aim of this module is to provide all the necessary tools for analysing datasets and visualising their properties.The main objectives of the module are to:
- Provide essential exploratory techniques to describe data
- Introduce computational methods for solving statistical problems
- Introduce the R programming language, its packages, statistical functions, plotting systems
- Demonstrate the principles for constructing visual representations of the data• Evaluate the information discovered from data analysis
Module Code:
CO4512 (L7)
Credit Value:
20 UK CREDITS / 10 ECTS
Module Aims:
- An increasing level of security threats and the existence of vulnerabilities expose organisations to frequent security risks. Managing those risks is essential not only for protecting organisational and clients’ assets but also as a competitive business advantage. This module exposes students to Information Security Management and Information Risk Management concepts and their use in practice to enforce preventive security.The aims of the module are:
- To introduce information security and risk management standards and methods that students will most likely encounter as a security professional.
- To evaluate the applicability and critically analyse alternatives for information security management and risk assessment.
- To apply techniques and conduct activities involved in the process of information security and risk management.
- To critically evaluate the benefits and pitfalls of compliance-based security.
Learning Outcomes
A1. Understand and appreciate the role that an analyst plays in the organizational and development processes of a company.
A2. Develop a systematic understanding of statistical data analysis and data mining techniques used in data analytics and areas of its application.
A3. Describe and evaluate principles, practices and techniques relevant to data mining and decision support.
A4. Develop a practical understanding of different forms of data (unstructured, semi-structured, structured), information modelling and the development of databases.
A5. Critically evaluate skills, tools and techniques necessary for the effective application of data analytics.
A6. Initiate and complete a major piece of individual study independently for a research or industry related topic.
B1. Describe and apply appropriate knowledge of statistical methods, algorithms and quantitative techniques suitable for data analysis and mining in a broad range of application areas.
B2. Specify, design and construct fit for the purposes databases making use of appropriate modelling techniques.
B3. Apply various technologies, techniques tools and methods in the full spectrum of data analytics including databases, data warehouses, distributed data management, data mining and decision support.
B4. Demonstrate the ability to work with software, software packages and software suites in order to automate tasks and perform data analysis.
B5. Conduct an in-depth analysis of a problem using evidence and deliver and present solutions to real-world problems using various visualization techniques.
C1. Evaluate ideas, methods and systems in a coherent and thorough manner, identifying limitations and opportunities for further development.
C2. Integrate, analyse and evaluate data and scenarios, using a wide range of appropriate techniques and transform those into options and solutions.
C3. Analyse and evaluate appropriateness of complex information, methods and techniques related to data analytics issues.
C4. Locate and integrate information from multiple sources and use conceptual, analytical and quantitative skills for decision making.
C5. Formulate solutions to complex problems and use appropriate methods to communicate such solutions effectively to a professional audience.
D1. Develop a highly analytical approach to problem solving.
D2. Effectively work as part of a group or as a group leader.
D3. Communicate effectively in context through presentations and written reports to a diverse audience.
D4. Utilize Information and Communications Technology (ICT).
D5. Develop individual self-management, and independent learning skills and manage resources and time in order to achieve intended goals.
D6. Reflect critically on professional experience, devising and evaluating new approaches.
Entry Requirements
The minimum entry requirements for this programme are:
Requirement 1
Bachelor's degree, with at least Lower Second Class grade or equivalent.
Requirement 2
Proof of English Language knowledge to a score of at least IELTS 6.5, or other equivalent according to the Common European Framework of Reference for Languages (CEFR).
Academic Faculty
Dr Panayiotis Andreou
DEPUTY HEAD OF THE SCHOOL OF SCIENCES, ASSOCIATE PROFESSOR IN DATA MANAGEMENT AND COURSE LEADER OF MSC DATA ANALYTICSLEARN MORE
Dr Panagiotis Kontakos
Deputy Head of School of Business and ManagementAssistant Professor in International Business
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Dr Josephina Antoniou
Deputy Head of the School of SciencesAssociate Professor in Computing
Course Leader of MSC Computing
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Dr Christos Karpasitis
Acting Head of School of Arts, Media and CommunicationAssistant Professor In Digital Media
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Dr Olga Kvasova
Associate Professor in Marketingand Course Leader of BA (Hons) Advertising and Marketing Communications
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Dr Andria Procopiou
Lecturer in Artificial Intelligence and CybersecurityCourse Leader of MSc Computing
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Dr Christoforos Charalambous
Lecturer in Data AnalyticsCourse Leader of MSc Data Analytics Distance Learning
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Dr Christiana Ioannou
Assistant Professor in CybersecurityCourse Leader of MSc Cybersecurity / MSc Cybersecurity Distance Learning
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How To Apply?
Step by Step Application Process.
Complete the UCLan Cyprus application FORM.
Provide copies of:
– School Leaving Certificate & Marksheet
– Bachelor’s Degree & Transcript
– English Language Qualification (see Entry Requirements)
– CV & Personal Statement
– 2 Reference Letters
– ID/Passport
Payment of €50 application fee (non-refundable) for the Admissions Department to officially evaluate your application and if successful to receive your Offer for a Place to Study at UCLan Cyprus.
APPLY NOW * International Applicants: once you receive your Offer Letter, you will proceed to the Visa Application Steps. Find more information here.Quick Links
Student Stories
School of Sciences
I finished my Bachelor’s degree in Mathematics & Statistics at UCLan Cyprus, and I continued with my postgraduate degree at Data Analtycis at UCLan Cyprus, This gave me the opportunity to be employed at the audit firm KPMG, Data Analytics combines statistics and programming, which both are on fire now in the market. I have discussed with the professor of the programme, at the university, and I realised that this has significant prospects for career and progression.
Kalia Athanasiou
MSc Data AnalyticsSchool of Sciences
I am very glad that I transferred my studies to UCLan Cyprus and I am satisfied with both my lecturers and my overall study experience. Also I am so grateful for the way the student support assisted me whenever I needed their help to make this dream a reality
Artem Plakhotuyuk
BSc (Hons) ComputingSchool of Sciences
The academics are very experienced, also in the professional field, which is very important. The practical nature of the curriculum and the opportunities that you have to work on different projects and research studies help you get into what you will work in the future. I believe that with the experience and the skills that I gained through UCLan Cyprus, I will be part of the technology of tomorrow.
Alberto Bullo
MSc ComputingSchool of Sciences
Currently, I am working as a software engineer. During my studies, I learned the foundational principles of engineering and analytical thinking. Practical experience in my final year of study equipped me with invaluable problem-solving skills that have proved crucial for the beginning of my professional journey.
Kristina Telegraph
BEng (Hons) Electrical & Electronic EngineeringSchool of Sciences
My bachelor’s degree helped me succeed in understanding the fundamental principles of Electrical and Electronic Engineering. During my studies, I learned to design and analyse circuits, gain proficiency in programming languages, and develop problem-solving skills, which are crucial for my current role. Practical experience from the first year of study helped me apply theoretical knowledge to real-world scenarios. The hands-on projects in the laboratories also enhanced my ability to troubleshoot and innovate, helping me build a strong foundation for my career in research. Being eligible to register with ETEK (Cyprus Technical and Scientific Chamber) benefited me in terms of professional development and opportunities. It provided me with a platform to stay updated with industry standards, network with professionals, and access resources that contribute to my growth in the field of AI and data analysis.
Spiros Millas
BEng (Hons) Electrical & Electronic EngineeringSchool of Sciences
I graduated from UCLan Cyprus with a BEng (Hons) in Electrical & Electronic Engineering. I am currently working as an Electrical Engineer. In this role my responsibilities include designing and optimising solar power systems, conducting feasibility studies, and implementing innovative solutions to improve energy efficiency. the BEng (Hons) in Electrical & Electronic Engineering helped me succeed in my current role by providing a solid foundation in theoretical concepts and practical skills, relevant to the field.
Nearchos Papaxenopoulos
BEng (Hons) Electrical & Electronic EngineeringSchool of Sciences
I finished my Bachelor’s degree in Mathematics & Statistics at UCLan Cyprus, and I continued with my postgraduate degree at Data Analtycis at UCLan Cyprus, This gave me the opportunity to be employed at the audit firm KPMG, Data Analytics combines statistics and programming, which both are on fire now in the market. I have discussed with the professor of the programme, at the university, and I realised that this has significant prospects for career and progression.
Kalia Athanasiou
BSc (Hons) Mathematics & StatisticsSchool of Sciences
It is with great joy that I embark on this new chapter of my life at UCLan Cyprus, which has opened its doors to me, giving me the opportunity to study in the BSc (Hons) Sport & Exercise Science programme. I would like to thank the management and academic staff for their excellent cooperation, and I am confident that both I and the university will gain many benefits from this long journey.
Elias Georgiou
BSc (Hons) Sport & Exercise ScienceSchool of Sciences
After conducting a research about the different universities in Cyprus, I decided to come to UCLan Cyprus for many reasons, mainly for the double – awarded degree, one from Cyprus and one from the UK, which gives a global scope compared to completing a programme in Greek, which could limit me to Cyprus and Greece. During my studies, I succeeded in thinking more scientifically. My professors played a huge role in my development, and in helping me with studies because they were always by our side and are excellent scientists. In the University’s Sports Lab, we had the tremendous opportunity to work with high-level atheletes, and had the opportunity to analyse our data based on our state-of-the-art equipment.
Christos Xennofontos
BSc (Hons) Sport & Exercise ScienceSchool of Sciences
At UCLan Cyprus, we stay ahead of the curve in Computer Science by embracing cutting-edge technologies, innovative research, and hands-on practice with industry-standard tools that shape the future of the digital world.
Giorgos Lazari
BSc (Hons) ComputingSchool of Sciences
UCLan Cyprus was my first choice because it is the only British University in Cyprus I was surprised with the modern facilities and the learning environment I am really enjoying my time here and would suggest anyone looking for higher education to opt for UCLan Cyprus.
Vanja Popovic
BSc (Hons) ComputingSchool of Sciences
I chose UCLan Cyprus for its excellent facilities and the friendly environment I found at the University.
Andreas Makris
BSc (Hons) Sport & Exercise ScienceSchool of Sciences
I chose to study BSc in Computing at UCLan Cyprus, specialization in Computer Games Development as I look forward to working in this area in the future
John Hassapis
BSc (Hons) ComputingSchool of Sciences
I chose UCLan Cyprus because of the high standards of education it offers, as well as the low tuition fees, which is very important to consider. Moreover, the university has up-to-date facilities, and the courses are taught in English, providing a universal way of learning and using vocabulary that is recognized worldwide. Lastly, an important factor for me is that the university is located in my district.
Giannis Parpounas
BSc (Hons) ComputingSchool of Sciences
There are many reasons for that, but I believe the number one reason is the financial factor! I was accepted by a university in Greece, but I always wanted to stay in Cyprus, so UCLan Cyprus gave me that opportunity.
Kyriakos Trikos
BSc (Hons) ComputingRequest More Information
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