Bachelor of Science in Computing
Mosta, Malta
BSc
DURATION
44 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Apr 2026
TUITION FEES
EUR 16,500
STUDY FORMAT
On-Campus
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 the 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 an in-depth understanding and skills of these areas.
The overall course objectives are:
Knowledge:
- Give due consideration to and test the workings of systems fundamentals, including architectures and organisation, operating systems, networking and communication, parallel and distributed computation, and security.
- Develop a comprehensive understanding of mathematics, including discrete structures, statistics and calculus.
- Compare multiple programming languages, paradigms, and technologies.
- Develop advanced knowledge of software development lifecycles, including programming, data structures, algorithms and complexity
- Define professional, ethical, security and social issues and responsibilities in relation to the opportunities and limitations of computing.
- Compare the applicability of research methods for the computing fields of study.
- 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 the computing context, demonstrating that there are multiple solutions.
- Use current computing technologies and methods for the design and implementation of solutions in industry.
- Design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
- Develop comprehensive ability to use computer science theory and current techniques, skills, and tools necessary for computing practice, including mathematical and algorithmic tools in the modelling and design of computer-based systems.
- Evaluate individual and collective responsibility and individual limitations, as well as the limitations of technical tools.
- Analyse the importance of maintaining personal integrity, behaviour, ethical and professional conduct in complex business situations; · Develop a plan of action for group work.
- Evaluate the group’s performance.
Competences:
- Develop a capacity to provide computer-based solutions, insight, and support for organisations.
- Create and collaborate in emergent computing technologies leading to innovative solutions for industry.
- Develop/design and implement an independent undergraduate research project that integrates relevant literature and appropriate methodologies with the purpose of addressing specific issues.
- 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 competencies.
This course is targeted at:
- Individuals seeking academic and professional advancement in computing.
- Mid-career break professionals are looking for opportunities to return or change their career.
Compulsory
- 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
- Mathematics 2
- Discrete Mathematics
- Artificial Intelligence
- Data Structures and Algorithms
- Database Design and Implementation
- Research Methods in Computer Science
- Security
- Advanced Programming
- The Internet of Things (IoT)
- Advanced Algorithms
- Database Management Systems
- Data Mining
- Dissertation
Specialisation in Digital Marketing Major
Elective
- Principles of Marketing
- Digital Marketing
- Marketing Analytics and Data Science
- Social Media Practice
- Optimising your Digital Presence
Specialisation in Blockchain Major
Elective
- 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
Elective
- Business Intelligence
- Knowledge Representation and Automated Reasoning
- Natural Language Processing
- Machine Learning
For Communication Skills:
The learner will be able to:
- Convey ideas in a well-structured and coherent way to peers, supervisors and clients.
- Formulate practical and theoretical responses to abstract and concrete problems and make judgements related to computing.
- Develop presentation skills to share the groupwork experience.
For Learning Skills:
The learner will be able to:
- Evaluate own learning and identify learning needs necessary to undertake further learning.
- Engage with fellow students in a peer learning process to share own learning and development, and assess and comment on the progress of others in the context of the material being taught.
- Develop advanced knowledge and understanding to systematically and creatively upgrade computing-related practices.
- Assess the social, legal, ethical, and cultural issues inherent in the discipline of computing.
- Develop a systematic approach towards organising and managing group activities to ensure the accomplishment of the group objectives.
The possible positions for which this programme aims to prepare you include, but are not limited to:
- Database Administrator
- IT Technical Support Officer
- Applications Programmer
- Systems Programmer
- Systems Analyst
- Programmer
The course comprises:
- Evening classes for part-time courses.
- Classes are held throughout the day for full-time courses.
- Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
- Self-study hours comprising research, reading and assignment work.
Assessment
Assessment is carried out via two mandatory components:
- Assessment 1
- Assessment 2
The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools, which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.
Dissertation Assessment
Assessment of dissertations is primarily based on:
- Depth of critical understanding of the theoretical framework.
- Application of appropriate research tools.
- Critical approach to analysis, interpretation and evaluation of research findings.
- Depth and level of argumentation build-up or of the proposed solution.
- Original contribution to the generation of new knowledge/hypothesis/models.
- Scholarly presentation meets academic standards.
- Show a clear ability to analyse and synthesise information and to clearly formulate a problem description.