Bachelor of Computer Science (Data Science) with Honours
In a World Overflowing With Data, Insight Becomes Power.
Every click, transaction, message, and sensor reading generates data. The world now produces more than 2.5 quintillion bytes of it every single day. Most of it goes unanalysed. The organisations that can make sense of it — faster, more accurately, and at scale — win. The people who build those capabilities are some of the most in-demand and best-compensated professionals in technology today. This degree gives you the full toolkit to be one of them.
Programme Key Facts
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3 Years
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UNIMY
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Intakes
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70% Coursework
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Accreditation
Future Careers
High-demand skills. Limitless possibilities.
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Big Data Architect
NLP Engineer
Why This Programme Matters
Data science is not one skill — it is a stack of interconnected competencies that must work together. This degree was built to develop all of them in sequence. Students build systems, run analyses, and deliver insights using real datasets from year one — producing a portfolio of genuine work, not exercises.
- Malaysia's big data analytics market growing 73% — from USD 1.1B to USD 1.9B
- Malaysia's hyperscale data centre market projected at USD 40B by 2031
- BARC: big data adoption translates into average 18% profit increase for organisations
- National target: 30,000 data professionals under the MyDIGITAL blueprint
You Will Learn
- Python, R and statistical programming foundations
- Artificial Intelligence from Year 1
- Data visualisation and business intelligence fundamentals
- Machine Learning and applied AI model development
- Big Data Architecture and data engineering workflows
- Data mining and unstructured data analysis
- Natural Language Processing and advanced analytics
- Decision Support Systems and evidence-based business decisions
- Portfolio-ready data science projects using real datasets
AI-Native Learning Experience
Model with AI. Analyse with AI. Decide with AI.
AI from Year 1
Artificial Intelligence is a Year 1 core module — not a final-year elective. Students build genuine AI competency progressively across all three years, graduating with AI fluency, not surface-level familiarity.
Active Data Labs
Purpose-built data science labs with the tools and platforms used by working data professionals. Students work with real datasets across all three years, building a portfolio of genuine analytical work.
Personalised Analytics
Adaptive AI systems continuously monitor progress, identify gaps, and adjust the learning pathway — you always know where you stand and what to focus on next.
Portfolio-Based Assessment
Students build real systems, conduct real analyses and present findings in formats that mirror professional data science practice — reflecting how data employers actually evaluate candidates.
Coursera for Campus
Google Data Analytics, IBM Data Science, IBM Machine Learning, AWS Cloud Practitioner and Google Advanced Data Analytics credentials are available from year one.
Industry Projects & Certifications
Real projects. Recognised certifications. Career advantage.
Industry Partners
Students connect with technology, infrastructure, digital economy and emerging technology partners through industry-informed learning, real data contexts, Tech Talk exposure and applied projects.
Technology
- Microsoft
- AWS
- Alibaba Cloud
- Dell
- Infoline
- Favoriot
- Qwork
National
- MIMOS
- Censof
- Cyberview
- Digital Penang
- TalentCorp
- MHR
- MDEC
Emerging
- Masverse
- Satori Research
- My Blockchain Infrastructure
Earn Microcredentials from the World's Best Universities & Global Tech Giants
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- IBM Machine Learning Professional Certificate
- AWS Cloud Practitioner
- Google Advanced Data Analytics Professional Certificate
- Alibaba Cloud Certifications
Career Outcomes
Progression Pathways
Our graduates are future-ready and in demand from the moment they complete this programme.
Malaysia's data economy is growing at a pace no other technology discipline can match right now — and UNIMY graduates enter that market with real skills, recognised certifications and a real portfolio of work to show.
Student Experience
Innovation Labs
Cutting-edge data science and computing environments with the tools and platforms used by working data professionals — accessible throughout the programme.
Hackathons & Data Competitions
Real problem statements, real data and real judges from industry — building analytical skills and professional reputations simultaneously.
Student Clubs
Peer communities across data science, AI, machine learning, software development and emerging technology disciplines.
Global Exposure
International competitions, student exchanges and industry visits building perspective and professional networks that extend well beyond graduation.
Industry Mentorship
Direct connections with working data scientists, analysts and technology professionals providing honest guidance and direct pathways to employment.
Campus Life
Esports, wellness facilities, regular events and a campus culture built around curiosity, ambition and people who want to build things that matter.
Entry Requirements
- Matriculation / Foundation — Minimum CGPA 2.00 + credit in Add. Maths or Maths & a Science/Tech/Engineering subject
- A-Level — Minimum Grade D in 2 subjects + same Maths & Science requirement
- STPM — Minimum Grade C (GP 2.00) in 2 subjects + Maths & Science requirement
- UEC — 5 Grade B passes incl. Advanced Mathematics
- Applicants without a Grade C in Mathematics must enrol in and successfully complete a pre-requisite Mathematics I module during their first semester.
Scholarships & Financing
- Merit-Based Scholarships
- PTPTN & Government Loan Schemes
- Flexible Instalment & Payment Plans
- Need-Based Financial Aid
Speak to a Future Advisor
Get personalised guidance for your future.