
OVERVIEW
About this Programme

Advance your tech career with a globally recognised Master’s in Computer Science at the London School of Business and Finance (LSBF) Singapore. Designed for professionals and graduates seeking to deepen their technical expertise, this comprehensive computer science course in Singapore equips you with in-demand skills in software engineering, AI, cybersecurity, and data science.
Explore advanced computer science qualifications and an industry-relevant curriculum that meets the needs of today’s digital economy. If you’re considering a computer science degree Singapore option, this Masters in Computer Science in Singapore is your gateway to specialised knowledge and leadership roles.
Upon completion, the MSc in Computer Science will be awarded by the University of East London.
Ranked 10th in London for Computer Science
Graduate in just 12 months
Practical and theoretic modules
3 out of 5 modules on Data Sci / AI / Big Data Analytics
MODULES
Designed to explore beyond subject knowledge
The Master of Science in Computer Science programme covers essential and advanced topics, including software engineering methodologies, big data management and analytics, machine learning and AI, cloud infrastructure, and cybersecurity practices.
Graduates will gain expertise in developing scalable software solutions, managing and analyzing large datasets, implementing secure computing systems, and leveraging cloud and AI technologies to drive innovation. This combination of skills ensures readiness for leadership roles in IT and research, addressing the challenges of the rapidly evolving tech landscape.
Advanced Software Engineering
This module equips students with conceptual knowledge of software systems’ analysis, design, and validation. Covering all stages of the software development process—from requirements gathering to modeling, design, testing, and project management techniques—it also offers practical experience in designing and developing software using appropriate methodologies.
Big Data Analytics
This module provides students with the theoretical and practical knowledge necessary for big data analytics and system development. It offers insights into big data management and advanced analytics while equipping students with in-depth practical skills using cutting-edge tools and techniques in the field.
Artificial Intelligence and Machine Vision
This module provides students with foundational knowledge in Artificial Intelligence (AI) and Machine Vision, enabling them to develop competencies in digital image analysis and machine learning approaches for designing and developing computing applications.
Cloud Computing (Elective)
This module provides an overview of Cloud Computing, including its enabling technologies, building blocks, and hands-on experience. Students will explore topics such as data centres, virtualization, cloud storage, and various Cloud paradigms, along with the benefits, challenges, and service models associated with this domain.
Mental Wealth; Professional Life (Dissertation)
This module involves conducting a Master’s level practical project within the scope of the MSc programme, focusing on research, analysis, design, implementation, quality assurance, evaluation, and project management. Students will address ethical, legal, social, and professional issues while reflecting on their strategies to enhance reflective skills, self-awareness, and personal development approaches.
Full programme structure & learning outcomes
Get details and learn about the advantages of learning with LSBF.
what to expect
Advance Your Career in Computer Science
Programme Aims
- Design and develop large-scale service-oriented software systems from requirements to testing and management of the entire development lifecycle.
- Develop knowledge and research skills in artificial intelligence, computer vision, and data analytics to empower learners/students as professionals.
- Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics.
- Tackle a cutting-edge problem from emerging areas in computer science, including its legal, social, ethical, and professional context, resulting in a high-quality research output through the dissertation.
- Develop the professional skills necessary for a senior career in the IT industry.
Learning Outcomes
Knowledge and Understanding
- Design and manage large-scale software systems by overseeing their entire Software Development Lifecycle.
- Utilise artificial intelligence, computer vision, and data analytics tools and techniques to address and solve defined problems.
- Identify, critically evaluate, and implement solutions for complex research or industrial computing challenges.
Skills for Life and Work (General/Transferable Skills)
- Study independently and effectively, presenting complex technical information clearly to professionals and the public.
- Develop strong interpersonal skills and contribute effectively as a team member or leader.
- Integrate research findings into professional practice and articulate results to inform decision-making and innovation.
Skills you will acquire

$92,000+
median Singapore salary for Accounting
483,000+
Singapore job openings in Accounting
75%
of graduates report positive career outcome
programme structure
Assessment, Graduation and Award
Modules are allocated a mark out of 100%. The pass mark for each module is based on an aggregate mark of 50%. The aggregate mark comprises marks from components/modules whose threshold is 40%. Assessment may incorporate one, two, or three components/modules.
The module specifications specify the mode of assessment for each module.
Assessment methods include formal examinations, work, project work, and group exercises.
Learners/Students with disabilities and/or particular learning needs should discuss assessments with the Module Leader to ensure they are able to fully engage with all assessments within the module.
Attendance requirement
International Students: 90%
Local, PR, non-student pass: 75%
Teacher Student Ratio
1:25
STUDENT SUPPORT SERVICES
Why choose LSBF for your education
Study Materials
Students will receive study materials after they have made full payment for their programme. Replacement of study materials is subject to additional charge.
Student Portal
Students have access to the Student Portal. It is a useful site where the course information and learning materials are available for students’ easy reference.
Accessible Faculty
Students may contact their lecturers directly via email outside the lecture hours for any academic related queries.
Recorded Lectures
We will show compassion and care to all stakeholders as we believe the journey is as important as the outcome.
ELIGIBILITY
Who can apply
Minimum Academic Entry Requirement
Learners/Students who have successfully completed either of the following:
- Bachelors degree from a recognised University with minimum 2 classifications
- Students, who have obtained equivalent qualifications in relevant fields (usually professional qualification), will be assessed case-by-case and subjected to university approval
Minimum English Language Entry Requirement
- Applicants who have not studied prior qualifications in English require IELTS 6.0 or equivalent in an accepted English language test.
Minimum Age
21 years or above
TUITION FEES (Price inclusive of GST)
$ 18,203.00
(local students)
$ 21,800.00
(international students)
FAQs
Is this programme eligible for SkillsFuture (SSG) or Post-Secondary Education Account (PSEA) funding?
SkillsFuture (SSG) and Post-Secondary Education Account (PSEA) funding are currently applicable only to selected programmes offered by public institutions such as NUS, NTU, and SMU. While this programme is not covered under those schemes, we’re pleased to offer exclusive rebates and promotional rates. To learn more about the available fee support and eligibility, please contact our Education Consultants at +65 6580 7700 or get in touch here.
What career opportunities are available after this degree?
Graduates can pursue roles such as leadership and management roles within Tech sector, Software Architect, Solutions Engineer, IT Project Manager, Systems Consultant, AI or Data Analytics Specialist, Cloud Engineer, or Cybersecurity Professional. The programme equips students with advanced technical and problem-solving skills applicable across a wide range of industries.
What can I study after this degree?
After completing this degree, you may choose to pursue a PhD or further specialise through professional certifications in artificial intelligence (AI), cloud computing, cybersecurity, or data science.
What if I want to pivot away from pure tech roles?
No problem. Your problem-solving and technical knowledge can lead to roles in tech consulting, digital transformation, or education.
How do I get started?
Reach out to our experienced education consultants at +65 6580 7700 or visit us at 80 Robinson Road, #01-00, Singapore 068898. We’re here to help you plan your next step.
I don’t have a Computer Science degree. Can I still enrol?
Yes, applicants from non-computing backgrounds may be eligible to enrol by completing the required bridging modules before progressing to the Master of Science in Computer Science, subject to meeting the University’s admission requirements. Please speak to our Education Consultants to determine the most suitable pathway for your academic background.
Is this computer science degree Singapore programme recognised internationally?
The MSc in Computer Science is awarded by the University of East London (UEL), a public university recognised by the UK government. As a UK-conferred qualification, it may support graduates seeking career opportunities outside Singapore.
What if I have limited programming or technical experience?
The Master of Science in Computer Science is designed to build both theoretical knowledge and practical skills in areas such as software engineering, artificial intelligence, cloud computing, cybersecurity, and big data analytics. If your academic background is not directly in Computer Science, our admissions team can advise whether you meet the entry requirements or if additional preparation may be recommended before starting the programme.
Can I study while working full-time?
Yes, the Master of Science in Computer Science is available in both full-time and part-time study modes, giving working professionals the flexibility to advance their qualifications while balancing career commitments.
How long does a master’s in CS take — full-time vs part-time?
The programme can be completed within 12 months. There is an option to take day or evening class.
What are the entry requirements for this master of Science in Computer Science without a related Bachelor’s?
Applicants without a bachelor’s degree may be considered if they hold equivalent qualifications in relevant fields, such as professional qualifications.
Is this programme more focused on computer engineering or software/data topics?
This programme is focused on software and data topics rather than computer engineering. The curriculum centres on Advanced Software Engineering, Big Data Analytics, and Artificial Intelligence and Machine Vision, with electives in Cloud Computing and Computer Security.
How does this comp sci masters program compare to a masters in IT Singapore?
A Master of Science in Computer Science focuses on advanced computing disciplines such as software engineering, artificial intelligence, data science, and cybersecurity. On the other hand, a Master’s in Information Technology emphasises the implementation, management, and application of IT systems.
What English language score is needed for this Master of Science in Computing degree?
Applicants who have not studied prior qualifications in English require IELTS 6.0 or equivalent in an accepted English language test.
Are there instalment plans or scholarships for this master’s in computer science in Singapore?
To learn more about the available fee support and eligibility, please contact our Education Consultants at +65 6580 7700 or get in touch here.
What intakes are available for this Master of Science in Computer Science?
Please refer to the programme page for the latest intake dates and study options, or speak to one of our Education Consultants for further assistance.
Is the dissertation topic self-chosen in this MSc Computer Science programme?
Yes, students are encouraged to choose a dissertation topic that aligns with their academic interests and career aspirations, subject to their supervisor’s approval. Throughout the dissertation, you will be guided by an academic supervisor who provides support on research planning, methodology, and research development.
The module is designed to enhance your employability by providing opportunities to engage with industry trends and participate in professional development activities. Students can benefit from career support initiatives offered by the Singapore Computer Society (SCS), including career resources and, where applicable, professional networking opportunities, to help them choose industry-relevant topics. Regular webinars, guest talks, and industry engagement sessions also provide valuable insights from technology professionals, helping you stay current with the latest developments in the field and build connections that can support your future career.
