B.Sc. in Computing
Course Description
The Bachelor of Science in Computing is a practical qualification that will prepare you for a successful career in IT and computing.
The programme will cover areas such as mathematics, programming, data analytics, software development, data structures, computer systems, website design and development, and database design and implementation, amongst many other topics.
In your second year of study, you will have the opportunity to tailor the programme to reflect your particular interests or career aspirations by specialising in one of three areas: digital marketing, blockchain or intelligent systems.
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.
If you stop here, you will get:
Certificate in Computing
Don’t stop now! Go for that Bachelor's Degree 🚀
If you stop here, you will get:
Diploma in Computing
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Specialisation in Digital Marketing Major
Specialisation in Blockchain Major
Specialisation in Intelligent Systems
If you stop here, you will get:
Higher Diploma in Computing
Don’t stop now! Go for that Bachelor's Degree 🚀
🏁 Amazing! You’ve just achieved your Bachelor of Science.
B.Sc. in Computing
How you’ll be assessed
This is a part-time programme and will typically take 39 months to complete. The method of assessment is assignment-based.
The course comprises:
- 6 lectures per module (twice a week);
- 3-hour lectures (evening);
- 12 hours of guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos;
- Self-study hours comprising research, reading and assignment work.
Assessment
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.
Course Intake Dates
TBA 2023
Reading for the entire Bachelor of Science (B.Sc.) in Computing as presented in this brochure costs €9,000.*
The cost for the different exit points is as follows:
- Certificate in Computing: €2,000
- Diploma in Computing: €4,000
- Higher Diploma in Computing: €6,000
Upon successful completion of this course, students will be eligible for a 70% refund of the cost through the ‘Get Qualified’ scheme.**
Due to the modular structure of the course, you may also opt to take individual modules as stand-alone. The entry requirements still apply.***
*Prices are applicable to students who reside in Malta at the time of applying.
Learning Outcomes
- Develop advanced knowledge of software development lifecycles including programming, data structures, algorithms and complexity.
- Develop comprehensive understanding of mathematics including discrete structures, statistics and calculus.
- Define professional, ethical, security and social issues and responsibilities in relation to the opportunities and limitations of computing.
- Implement software within multiple programming languages, paradigms and technologies.
- 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.
- 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.