MQF LEVEL 6 • 180 ECTS • ACCREDITED DEGREE
An industry-aligned computing degree blending modern software engineering, cloud systems architecture, algorithmic problem solving, and data analytics to prepare graduates for global tech ecosystems.
Full-Time: 27 months+ 6 months (Dissertation) - Part-Time: 38 months + 6 months (Dissertation).
Fall(November) & Spring(Feburary)
Applied Lab & Industry Projects
The programme will focus on providing theoretical concepts and specific skills associated with computing and information technology and cover areas such as: mathematics, programming, data analytics, software development, data structures, computer systems, website design and development, database design and implementation among many other topics. In second year of study, student will have an opportunity to personalise their studies by choosing one of the specialisations in digital marketing, blockchain or intelligent systems in order to gain in-depth understanding and skills of these areas. Develop comprehensive understanding of mathematics including discrete structures, statistics and calculus. Compare multiple programming languages, paradigms, and technologies. Discuss the factors and challenges of groupwork. Skills: Implement software within multiple programming languages, paradigms and technologies. Formulate responses to well-defined concrete and abstract problems and challenges in computing context demonstrating that there are multiple solutions. Evaluate individual and collective responsibility and individual limitations as well as the limitations of technical tools.
Manage own development and advancement, including managing time, priorities, and progress. Utilise problem- solving techniques where there are many factors, some of which interact and lead to unpredictable outcomes. Encompass an appreciation of the interplay between theory and practice. Develop a capacity for independent thought and be reflectively self-critical. Develop groupwork competences.
You are required to complete all compulsory modules (132 ECTS), and only 1 selected area of specialisation (30 ECTS), as well as the dissertation (18 ECTS) to fulfil the requirements of this bachelor’s degree.
Academic Writing
Mathematics 1
Programming
Website Design and Development
Computer Systems Architectures
Data Analytics
Operating Systems
Client/Server Computing Systems
Computer Networks
Software Development Lifecycles
Compulsory Modules:
Mathematics 2
Discrete Mathematics
Artificial Intelligence
Data Structures and Algorithms
Database Design and Implementation
Specialisation in Digital Marketing Major:
Principles of Marketing
Digital Marketing
Marketing Analytics and Data Science
Social Media Practice
Optimizing your Digital Presence
Specialisation in Blockchain Major:
Introduction to Blockchain Technology
Essentials of Disruptive Technology and Innovation
Introduction to Cryptocurrency
Regulation and Cryptocurrency in the Modern World
Cryptographic Security
Specialisation in Intelligent Systems:
Business Intelligence
Knowledge Representation and Automated Reasoning
Natural Language Processing
Machine Learning
Research Methods in Computer Science
Security
Advanced Programming
The Internet of Things (IoT)
Advanced Algorithms
Database Management Systems
Data Mining
Dissertation
Review the necessary academic qualifications and health clearances for direct BSN admission.
This course is targeted at:
The potential positions for which this programme aims to prepare could be and are not limited to:
Submit your details below to begin your admissions assessment and receive direct guidance from our Computing faculty advisors.
