Bachelor of Data Science
Program Overview
The Bachelor of Data Science equips students with the ability to collect, analyze, and interpret large datasets to drive decision‑making. Students gain expertise in statistics, machine learning, data visualization, big data analytics, and artificial intelligence, preparing them to support Sarawak’s digital economy, smart city initiatives, and industry innovation under PCDS 2030.
Category & Alignment
- Academic Discipline: Computing & IT
- PCDS 2030 Alignment Area: Digital Economy / Innovation & Technology
Study Duration
- 3 years (full‑time, on‑campus)
- Standard completion time: 6 semesters
- Extensions or repeated subjects are not funded under FTES
Admission Requirements
- STPM / A‑Levels / UEC with strong passes in Mathematics
- Foundation or Diploma in ICT/Science/Engineering with minimum CGPA ≥ 2.5
- IELTS ≥ 6.0 / TOEFL iBT ≥ 75 / MUET Band ≥ 4
- Anak Sarawak (MyKad “K” status), first bachelor’s degree, full‑time enrollment, no other scholarships or loans
Career Pathways
- Data Analyst
- Data Scientist
- Business Intelligence Specialist
- Machine Learning Engineer
- Big Data Engineer
🎯 Target Employers in Sarawak
- Digital Economy & ICT: Sarawak Digital Economy Corporation (SDEC), local ICT startups
- Energy & Utilities: Sarawak Energy Berhad (smart grid, predictive analytics)
- Telecommunications: Telekom Malaysia, Sacofa, CelcomDigi
- Government & Agencies: Sarawak State Government ICT units (smart city, e‑governance)
- Research & Academia: UNIMAS data science labs, Swinburne Sarawak, Curtin Malaysia
Estimated Local Salary Benchmarks (Monthly, RM)
| Career Stage | Typical Job Title | Salary Range (RM) |
|---|---|---|
| Entry Level (0–2 yrs) | Graduate Data Analyst / Junior Data Scientist | RM 3,000 – RM 3,800 |
| Mid Level (3–7 yrs) | Data Scientist / BI Specialist | RM 5,000 – RM 7,500 |
| Senior Level (8–15 yrs) | Senior Data Scientist / Machine Learning Engineer | RM 8,000 – RM 12,000 |
| Executive Level (15+ yrs) | Head of Data / Chief Data Officer | RM 15,000 – RM 25,000 |