B.Sc. in Computing

Course Description

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.

The overall course objectives are:

Knowledge:

• Give due consideration to and test the workings of systems fundamentals, including architectures and organization, operating systems, networking and communication, parallel and distributed computation, and security.
• Develop 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 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 modeling 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, behavior, ethical and professional conduct in complex business situations; · Develop a plan of action for groupwork.
• Evaluate 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 competences.

Entry Requirements

Candidates who apply for this course must be in possession of the following:

• a qualification at MQF Level 4 in subjects related to Mathematics, Science or Computing (minimum two ‘A’ Levels or equivalent);

AND

• a pass in English at MQF Level 3 (‘O’ Level or equivalent).

Preference is given to students having a Level 4 diploma in engineering or computing and an A-level standard in mathematics.

Target Audience

This course is targeted at:

• Individuals seeking academic and professional advancement in computing.
• Mid-career break professionals looking for opportunities to return or change their career.

Career Paths

The possible positions for which this programme aims to prepare you for include, but are not limited to:

• Data Base Administrator
• IT Technical Support Officer
• Applications Programmer
• Systems Programmer
• Systems Analyst
• Programmer

Modules

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.

How you’ll be assessed

The course comprises:

• Evening classes for part-time courses.
• Classes 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 proposed solution.
• Original contribution to the generation of new knowledge/hypothesis/models.
• Scholarly presentation meeting academic standards.
• Show a clear ability to analyse and synthesize information and to clearly formulate a problem description.