MSc in Business Intelligence and Data Analytics
Limassol, Cyprus
MSc
DURATION
24 months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 8,930
STUDY FORMAT
On-Campus
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
About: The MSc in Business Intelligence and Data Analytics at The University of Limassol trains students across the data analytics lifecycle: business requirements, data acquisition, storage, processing, analysis and business deployment. It blends managerial and technical aspects of data science, emphasizes practical skills for implementing solutions, and boosts decision-making in information technology. The curriculum aims to turn participants into data scientists prepared for the data-driven economy. Keywords: business intelligence, data analytics, machine learning, data engineering.
Career Outcomes: Graduates can pursue data scientist, business intelligence analyst, data analyst, machine learning engineer, data engineer roles in industry, finance, technology and public sectors.
The Master of Science (MSc) in Business Intelligence and Data Analytics is designed to equip students with the necessary knowledge and a diverse set of skills required throughout the data analytics lifecycle. This skillset includes business data requirements, data acquisition and integration, data storage, data processing, data analysis, insights derivation, and ultimately, the business deployment of derived insights in a meaningful and successful manner.
It is a unique and innovative-by-design postgraduate degree that combines both managerial and technical aspects around the data science field. Particular emphasis is given to students acquiring practical skills for implementing data science solutions, as well as enhancing their decision-making capabilities in Information Technology from a data science perspective.
The curriculum is designed to transform the participants into data scientists and equip them with the knowledge and skillset required to contribute and compete in the rapidly advancing data-driven economy.
- Demonstrate understanding of the value of (Big) data and data-driven decision-making.
- Identify the basic concepts that underpin today’s organisational IT infrastructures, such as concepts of databases, information systems, operations and processes, cloud computing, data warehousing and enterprise resource planning.
- Apply data mining/analytics (statistical and machine learning) in order to solve real-world business problems.
- Develop skills related to the data analytics pipeline from collection, processing, analysis and interpretation.
- Effectively communicate to top management the results and implications arising from data analytics, security risk assessments, and emerging technologies.
- Demonstrate professionalism and leadership by taking initiatives within their domain of responsibility while working effectively with other team members.
The European Credit Transfer and Accumulation System (ECTS in short) is a tool of the European Higher Education Area for making studies and courses more transparent. It helps students to move between countries and to have their academic qualifications and study periods abroad recognised. The credits below are based on the ECTS.
To graduate, students are required to earn 90 credits as follows:
- 78 credits from taught core courses (including the final project),
- 12 credits either from one of the three concentration tracks or by combining courses from different tracks.
Core Courses
Basic Functional Skills
- BI395 – Foundations of Business Information Technology
- BI405 – Database Management and Cloud Computing
- BI410 – Data Mining, Visualisation, and Decision Making
- BI415 – Managing Big Data
- BI420 – Python Programming
- BI425 – Information Security Management for Business
- BI130 – Web & Social Media Analytics
- AT600 – Digital Transformation of Business & Organisations
- BI430 – Quantitative Methods & Statistical Analysis
- AT500 – Data Analytics and Artificial Intelligence
- HR495 – Ethics, CSR & Sustainability
- BI500 – Data Science Research Project
Elective Courses
Operations & Project Management (12/24 ECTS)
- MB675 – Operations & Supply Chain Management
- MB710 – Project Management
- AT800 – Project Management in Information Technology
- AT400 – Blockchain and Applications
Technical Entrepreneurship & Innovation (12/24 ECTS)
- AT900 – Technical Entrepreneurship
- GD320 – Digital Business Tools and Digital Business Development
- FB415 – Project & Business Financing
- MB750 – Planning & Starting a New Business
Financial Services (12/30 ECTS)
- FB470 – Innovative Financial Technologies (FinTech)
- FB500 – Financial Innovation and Financial Regulation
- FB415 – Project & Business Financing
- GD320 – Digital Business Tools and Digital Business Development
- AT400 – Blockchain and Applications