Mailing Address:
No 3, Jalan Lebuh Cemerlang,
Taman Desa Cemerlang,
81800 Ulu Tiram,
Johor, Malaysia.
Opening Hours:
Mon - Fri 9.00am – 5.00pm
Tel: +607-8636 888 or
WhatsApp +6019-784 3688
For programme enquiries, WhatsApp
+6019-784 3688
+6011-35433040 (Diploma in Airline Services)
For Accounts-related matter, WhatsApp +6011-13052006 (Finance)
For Course Information, please email: marketing@crescendo.edu.my
For International Students enquiry, please email: international@crescendo.edu.my
For Suggestions/Complaints/Grievances, please email:
feedback@crescendo.edu.my
For Scholarship/Bursary, please email:
studentsupport@crescendo.edu.my
[Note: For students coming from household income of less than RM4,000 per month.]
The BSc Computer Science will allow you to develop a wide and practical skillset in computing, with strong programming and mathematics skills, as well as softer skills in project management, presentation and teamwork. You will also have a portfolio of work that you can present to potential employers. The Degree comprises of modules from specialisations such as data science, games development, virtual reality, web and mobile development, machine learning & artificial intelligence and physical computing & internet of things.
With the BSc Computer Science, you will be qualified for a range of computational and mathematical jobs in the creative industries, business, finance, education, medicine, engineering and science. Typical job titles include application programmer, software engineer, creative coder, video game developer and systems analyst.
Goldsmiths, University of London
The academic content for the BSc Computer Science degree has been developed by the Department of Computing at Goldsmiths, one of the UK's top creative universities.
World-renowned teaching
Founded in 1891, Goldsmiths is world-renowned for teaching and research in creative, cultural and computational disciplines. Goldsmiths encourages students to explore ideas, challenge boundaries, investigate fresh ways of thinking, and stretch themselves intellectually and creatively. The Department of Computing at Goldsmiths is driven by a view of computer science that captures this spirit.
Interactive degree
Goldsmiths believes that studying computer science is learning by doing and experimenting. The department uses a project-based style of teaching for a range of topics from computer and data science all the way through to art, music, social science and journalism.
This ethos has created highly interactive degrees that make use of the latest technology and education. You will learn from experts in computing, whose experience spans many regions and industries.
Besides computer science, Goldsmiths' Department of Computing research and teaching also covers an array of topics including computational art, virtual reality, computer music, digital sociology and education technology.
An Innovative Degree designed by Leading Academics at Goldsmiths
Goldsmiths is one of the UK's top creative universities. The BSc Computer Science from the University of London gives you the skills to achieve your career goals. The degree which is powered by Coursera (the world's leading MOOC's), use creative interactive approaches to provide immersive learning experiences that will help you build the technical and transferable skills you need for a fulfilling career. Your learning journey will also be supported by the lecturing team at Crescendo.
Career Focused
Whether you want to work with the latest digital technologies, artificial intelligence or develop the next hit video game, the BSc Computer Science degree will help you learn through project work, developing the skills and portfolio you need to boost your job prospects.
Final year in London
Optional
Students have the option to study on campus at Goldsmiths in the final year.*
*Terms & Conditions apply
Software Engineer | Application Developer | Systems Analyst |
Mobile Software Engineer | Games Developer | Data Engineer |
Computer Programmer | Machine Learning Engineer | Data Analyst |
April (for Crescendo's DCS Graduates into Year 2 only)
September (for all)
Pass A Level with 2 D's + Pass SPM with 5 Credits (incl B in Maths, C in English, C in one science subject + 2 other credits)
Pass STPM with 2 C's + Pass SPM with 5 Credits (incl. B in Maths, C in English, C in one science subject + 2 other credits)
Pass Matriculation with CGPA 2.5 + Pass SPM with 5 Credits (incl B in Maths, C in English, C in one science subject + 2 other credits)
MQA Accredited Foundation with CGPA of 2.5 + 5 Credits in SPM (incl. B in Maths, C in one science subject + 3 other credits)
MQA Accredited Diploma in Computer Science or equivalent with CGPA of 2.5 + 3 Credits in SPM (incl. B in Maths) -> Enter Year 1
Crescendo's Diploma in Computer Science with a minimum CGPA of 2.5 -> Enter Year 2
5 Credits (A~B) in UEC (incl. Additional Maths) + 3 Credits in SPM (incl. B in Maths, C in English + 1 other credit)
Note: UEC & SPM Subjects must be different or "non-overlapping" and are acceptable to the University of London.
IMPORTANT: If your qualification does not meet the minimum entry requirements above (e.g. CGPA < 2.5, SPM < 3 credits, SPM Maths = C, etc), please check with us. You may be able to qualify under a category which we didn't list above.
1st Year |
2nd Year |
3rd Year |
4th Year |
Semester 1 Introduction to Programming I Fundamentals of Computer Science Computational Mathematics How Computers Work Semester 2 Introduction to Programming II Discrete Mathematics Algorithms and Data Structures I Web Development |
Semester 1 Object-Oriented Programming Software Design and Development Programming with Data Agile Software Projects Communication Skills/Bahasa Kebangsaan Semester 2 Computer Security Graphics Programming Algorithms and Data Structures II Databases, Networks and the Web Malaysian Economy |
Semester 1 Data Science Advance Web Development Physical Computing and the Internet of Things Mobile Development 3D Graphics and Animation Hubungan Etnik Tamadaun Islam & Tamadun Asia Self Development Semester 2 Games Development Natural Language Processing Machine Learning and Neural Networks Artificial Intelligence Final Project |
Semester 1 Industrial Training |