MSc in Business Intelligence and Data Analytics
Limassol, Cyprus
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 8,930
STUDY FORMAT
On-Campus
Key Summary
Introduction
The Master of Science (MSc) in Business Intelligence and Data Analytics is designed to equip the students with the necessary knowledge and a diverse set of skills required throughout the data analytics lifecycle. This skill set 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 of 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.
The program is nationally accredited by CYQAA and recognized by KYSATS.
Admissions
Curriculum
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 recognized. 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.
Basic Functional Skills
- BI395 – Foundations of Business Information Technology
- BI405 – Database Management and Cloud Computing
- BI410 – Data Mining, Visualization 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 & Organizations
- 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
Elective Courses
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
Elective Courses
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
Program Outcome
- Demonstrate understanding of the value of (Big) data and data-driven decision making.
- Identify the basic concepts that underpin today’s organizational 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) to solve real-world business problems.
- Develop skills related to 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 initiative within their domain of responsibility while working effectively with other team members.
Program Admission Requirements
Demonstrate your commitment and readiness to succeed in business school by taking the GMAT exam – the most widely used exam for admissions that measures your critical thinking and reasoning skills.
Download the GMAT mini quiz to get a flavour of the questions you’ll find in the exam.