Students
Tuition Fee
Start Date
2026-09-01
Medium of studying
On campus
Duration
3 years
Details
Program Details
Degree
Bachelors
Major
Computer Science | Data Science | Software Development
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2026-09-01-
About Program

Program Overview


BSc (Hons) Computer Science

The BSc (Hons) Computer Science degree at Manchester Metropolitan University is designed to provide students with a comprehensive understanding of the principles and practices of computer science. The course covers a wide range of topics, including programming, computer architecture, algorithms, data structures, and software engineering.


Course Overview

The course is a three-year full-time program, with an optional four-year placement route. The first year provides a foundation in the core disciplines of computer science, including programming, mathematics, computer architectures, web development, and databases. In the second year, students build on this foundation, studying topics such as algorithms, data structures, computer networks, and operating systems. The final year allows students to specialize in areas of interest, with options including artificial intelligence, scalable architecture, and cloud computing.


Entry Requirements

To be eligible for the course, students must meet the following entry requirements:


  • GCE A levels: grades BBB, with a minimum grade B in one of the following subjects: IT, Computer Science, Mathematics, CCEA Digital Technology, Software Systems Development, or a science subject.
  • Pearson BTEC National Extended Diploma or OCR Cambridge Technical Extended Diploma: grade DDD in IT or Computing.
  • Access to HE Diploma: Pass overall in Computing, IT, or Science with a minimum of 122 UCAS Tariff points.
  • IB Diploma: Pass overall with a minimum overall score of 30 or minimum 120 UCAS Tariff points from three Higher Level subjects, including HL5 in at least one of IT, Computing, Mathematics, or a science subject.
  • IELTS score: 6.0 overall with no component below 5.5, taken within two years of the course start date.

Fees and Funding

Tuition fees for the 2026/27 academic year are still being finalized. However, the university offers a range of scholarships and bursaries to help students with the cost of their studies.


Careers Support and Prospects

The course is designed to provide students with the skills and knowledge required for a successful career in the computing industry. The university's careers service offers support and guidance to help students achieve their career goals, including placement opportunities, internships, and graduate jobs.


Study and Assessment

The course is taught through a combination of lectures, seminars, and practical sessions. Assessment is based on coursework, with no exams in the first two years. The final year includes a large-scale technical project, which allows students to specialize in an area of interest and demonstrate their skills and knowledge.


Features and Benefits

The course offers a range of features and benefits, including:


  • A four-year placement route, which provides students with the opportunity to gain practical experience in the industry.
  • A common first year with the BSc (Hons) Software Engineering program, allowing students to transfer between courses after the first year.
  • Access to cutting-edge equipment and specialist laboratories, featuring high-performance computers and industry-standard software.
  • Strong industry links, with opportunities for placements, internships, and graduate jobs.
  • A range of extracurricular activities, including hackathons, gaming events, and the Students' Union Computing Society.

Accreditations, Awards, and Endorsements

The course is accredited by the Chartered Institute for IT (BCS) and has received recognition from the Institute of Coding and the Computing Technology Industry Association (CompTIA). The university has also been awarded a gold rating in the Teaching Excellence Framework (TEF) and has a strong reputation for research and innovation in the field of computer science.


Research Areas

The university's Department of Computing and Mathematics has a strong research profile, with areas of expertise including:


  • Artificial intelligence and machine learning
  • Data science and analytics
  • Cyber security and networking
  • Human-computer interaction and user experience
  • Software engineering and development

Department and Faculty

The course is part of the Department of Computing and Mathematics, which is located in the Faculty of Science and Engineering. The department has a strong reputation for teaching and research, with a range of undergraduate and postgraduate programs available. The faculty is also home to a range of other departments, including engineering, mathematics, and physics.


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