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Bachelor of Science with Honours in Computer Science (Artificial Intelligence) in Collaboration with University of Suffolk (3+0)

(N/0613/6/0142)(01/31)(MQA/PA18692)

Course Information

Mode: Onsite
Duration: Full Time ( 3 Years ) Part Time ( 5 Years 8 Months)
Intakes:

January, May & September

Type: Flexible Full-time/Part-time Mode
Conducted in Malaysia: Yes
Level of Study: Bachelor's Degree Level
Field of Study: Computing & IT
Awarding Country: United Kingdom
Exam Body: University of Suffolk
Fees: RM51,000 / RM75,000 (international)

Course Overview

About University of Suffolk

The University of Suffolk is a modern, innovative institution located in the heart of Ipswich, UK. Established to redefine the traditional university experience, it offers a personalised, supportive learning environment that empowers students to thrive academically and professionally. Ranked 2nd in the East of England for graduate prospects (Complete University Guide 2025) and 2nd in the UK for career prospects, the University of Suffolk is committed to producing career-ready graduates equipped with real-world skills. Furthermore, it ranks 3rd in the UK for spending on academic services, demonstrating a strong investment in student success and learning resources. With a focus on industry-relevant education, close employer partnerships, and a growing reputation for research and enterprise, the University of Suffolk stands out as a dynamic partner for institutions like LSBF Malaysia, delivering globally recognised UK qualifications tailored to future-focused learners.

Programme Overview

This course is provided as a pathway on our BSc (Hons) Computer Science degree. All students begin their studies on the BSc (Hons) Computer Science degree before choosing the Artificial Intelligence pathway towards the end of their first year of study. Students who complete this pathway will receive the specialist BSc (Hons) Computer Science (Artificial Intelligence) award at graduation.

Curriculum

Year 1:

? Computing Fundamentals
? Introduction to Programming
? Networking and Cyber Security
? Introduction to Web Design
? Introduction to AI and Data Science

Year 2:

? Software Engineering
? Databases
? Advanced Programming and Data Structures
? Machine Learning

Year 3:

? Information Systems Engineering
? Advanced Artificial Intelligence
? AI and Data Science Applications
? Cyber Security: Attack and Defence
? Project (1 & 2)

MPU Courses

? Bahasa Melayu Komunikasi 2
? Penghayatan Etika dan Peradaban
? Philosophy and Current Issues
? Integrity and Anti-Corruption
? Bahasa Kebangsaan A
? Effective Listening
? Co-Curriculum: Sustainability Thinking

Industrial Training / Case Study

? Industrial Training

Entry Requirements

Matriculation / Foundation

A pass in Matriculation or Foundation studies with a minimum CGPA of 2.00;

STPM

A pass in Sijil Tinggi Persekolahan Malaysia (STPM) with a minimum grade of C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification;

STAM

A pass in Sijil Tinggi Agama Malaysia (STAM) with a minimum grade of Jayyid in any TWO (2) subjects;

AND a credit in:

a) Additional Mathematics at SPM level or its equivalent; OR
b) Mathematics and any one of the Science, Technology or Engineering subjects at SPM level or its equivalent.

Notes:

? Candidates for category (b) need to take a reinforcement Mathematics with appropriate topics in the discipline of Computer Science, Data Science or Software Engineering at the beginning of the study.

? Students are required to pass the reinforcement Mathematics as a prerequisite before being allowed to take related core courses. The candidate can sit for any subjects that did not indicate Mathematics as a pre-requisite.

? Reinforcement Mathematics can contribute to the overall graduating credit.

English Requirement

IELTS : 5.0
TOEFL iBT : 40
Pearson (PTE) : 47
MUET : Band 3.5
Cambridge : 154
ELS : 107

Career Prospects

Upon graduation from this degree, students can progress into a range of roles, including:

  • Cyber Security Expert
  • Web Developer
  • Data Scientist
  • Artificial Intelligence Expert
  • Mobile App Developer
  • QA Engineer
  • Network Engineer
  • Software Developer
  • Data Analyst
  • All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

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