Awarding Body:
Award: MSc Computer Science – University of Wolverhampton
Credits: 90 ECTS – 180 CATS
Level: MQF L7 – EQF L7 – UK L7
Study Mode: Full-Time / Part-Time
Full-Time Schedule:
Start: Tuesday, 22nd September 2026
End: Friday, 24th September 2027
Lectures: 3 times a week
Lecture Time: 18:00 - 21:00
Part-Time Schedule:
Start: Tuesday, 22nd September 2026
End: Friday, 22nd September 2028
Lectures: 2 times a week
Lecture Time: 18:00 - 21:00
Duration:
Full-Time: 1 Year
Part-Time: 2 years
Future Intakes: September 2026
Assessment Method: Examinations and assignments
Delivery Method: Face to Face Lectures
Administration Fee: €€150
Nationality:
Tuition Fee:
Tuition Fee:
Tuition Fee:
Please contact us for pricing
MSc Computer Science
The MSc Computer Science is ideal for students with a degree in Computer Science or a related field. The programme develops advanced knowledge in specialised areas and trains students to analyse problems, evaluate solutions, and apply new ideas. It also prepares students for professional roles and improves career prospects.
This postgraduate degree combines theory and practical skills. Students work on applied projects that enhance technical, analytical, and professional abilities. Graduates of the MSc Computer Science are ready for roles in software development, systems analysis, consultancy, and other high-level positions in the tech industry.
The entry requirements for the MSc Computer Science are as follows:
Academic Pathway
- A degree classification of 2:2 or above in Computer Science or equivalent or a closely related subject.
OR
- A Postgraduate Certificate in Computer Science or a related subject with a minimum grade of 50% in all modules.
Work Experience Pathway
- Evidence of industrial certifications in Information security such as CISSP, CEH, BCS will also be considered for suitable candidates with a minimum of 3 years working experience in related industries.
- All work experience-based applicants will be required to provide a reference detailing your role(s) and responsibilities from your line manager. This would be requested after you have successfully applied.
English Certification
- International English Language Testing System (IELTS) – Overall Score of 6.5 with no component less than 6.0
- TOEFL – Overall Score of 79 with no component score less than 21
- Cambridge: Advanced English, First English – Overall score of 176 with no component scores less than 169
- Cambridge: English Proficiency (Online Verification Required) – Overall score of 176 with no component scores less than 169
The University accepts regional based qualifications deemed to be equivalent. Qualifications must have been completed within the last 5 years.
Visa Requirements
All students who are not from EU/EEA countries or Switzerland will require a visa to study in Malta. For all information related to visas, please visit the Identità Malta page directly by clicking here.
Important Notice
Kindly note that students must complete a health screening within the first two weeks of arrival in Malta, ideally before the course begins. If any issues are identified during screening, the application for residency approval cannot be finalised. For further information, please refer to the following link: Foreign Students Studying in Malta | HPDP
- 7CC005: Web Technologies (Credits 10 ECTS – 20 CATS)
- 7CC009: Research Methods in Computing (Credits 10 ECTS – 20 CATS)
- 7CC012: Mobile Application Development (Credits 10 ECTS – 20 CATS)
- 7CS106: ITM and Computer Science Dissertation (Credits 30 ECTS – 60 CATS)
- 7CS107: Advanced Artificial Intelligence and Machine Learning (Credits 10 ECTS – 20 CATS)
- 7CS108: Data Science and Data Mining (Credits 10 ECTS – 20 CATS)
- 7CS109: Immersive Application Development (Credits 10 ECTS – 20 CATS)
- Display mastery of the principles and practices of advanced Computer Science topics; integrate and apply knowledge and skills to complex problems in a new area or form.
- Demonstrate a critical understanding of the concepts and technologies underpinning modern distributed systems, mobile platforms and the internet.
- Apply appropriate tools and advanced techniques to develop sophisticated web sites and Internet applications.
- Make informed judgements on the application of appropriate models and techniques in modern data handling systems.
- Demonstrate expertise in programming; apply well-chosen techniques and methodologies to generate sophisticated applications through team work.
- Conduct research into advanced areas of Computer Science; apply and extend an understanding of the nature of research and development; demonstrate the professional skills required to produce a high-quality deliverable and communicate results clearly through appropriate media.
This course is eligible for government funding under the Get Qualified Scheme.
If you would like to learn more about these schemes, please click here.
