Bachelor of Science (Honours) in Data Science
(N/0540/6/0003)(07/33)(MQA/PA19043)
Course overview
Data is shaping the way we understand and solve challenges across industries, from healthcare and business to sport and environmental sustainability. Our Bachelor of Science Data Science will equip you with the mathematical, statistical and computing skills needed to analyse complex datasets, uncover insights and develop data-driven solutions to real-world problems.
Delivered entirely at NUMed Malaysia over three academic years, the programme follows the academic standards and quality assurance framework of 缅北禁地, ensuring a consistent learning experience and assessment standard throughout your studies. You'll explore areas such as machine learning, artificial intelligence, data analytics and computational workflows, while developing the communication skills needed to turn complex data into meaningful insights.
Guided by experts in mathematics, statistics and computer science, you'll gain practical experience through industry-standard opportunities Graduating with a 缅北禁地 degree recognised under both UK and Malaysian quality frameworks, you'll be well prepared for a career in a data-driven world.
Upon successful completion of the programme, you'll graduate with a Bachelor of Science (Honours) in Data Science awarded by 缅北禁地, UK.
Exclusive launch bursary
Students enrolling in the Bachelor of Science (Honours) in Data Science programme for the 2027/2028 intake may be eligible for an Exclusive Launch Bursary of up to RM5,000*.
This bursary is designed to support students joining our inaugural intake.
*Terms and conditions apply.
Stage 1
Stage 1 establishes the foundations of the discipline, building core skills in programming, mathematics and statistics, and the principles of working with data.
Modules
- Foundations of Data Science
- Programming Portfolio I
- Real Analysis
- Introductory Calculus
- Introduction to Probability & Statistics
- Number Systems
- Introductory Algebra
- Multivariable Calculus
Stage 2
Stage 2 builds the mathematical, statistical and computational foundations for rigorous data analysis, and applies them through an industrial placement.
Modules
- Statistical Inference
- Security Programming
- Algorithm Design & Analysis
- Linear Algebra; Probability
- Frontiers in Data Science A
- Numerical Methods with Python
- Stochastic Processes
- Data Visualisation
- Mathematical Biology
- Regression
- Includes an Industrial Placement
Stage 3
Stage 3 develops specialist expertise in health and biomedical data science, spanning statistical modelling, machine learning and clinical applications, and ends with a supervised applied project.
Modules
- Data Innovation Bootcamp
- Biomedical Data Analytics and AI
- Statistical Modelling
- Computer Vision and AI
- Data Science Group Project
- Frontiers in Data Science B
- Foundations of Machine Learning
- Clinical Trials
- Decision Modelling in Health Data Science
- Topics in Medical Statistics and Health Data Science
How you’ll learn
Teaching methods
You'll learn through a combination of lectures, practical computing sessions, small group seminars and supervised project work.
Assessment methods
You'll be assessed through a combination of:
- Coursework
- Practical programming and computing assignments
- Portfolio work
- Data analysis and modelling projects
- Research project or dissertation
- Examinations – practical or online
- Group work
- Presentations
- Report
Skills and experience
Professional skills
In Stage 3, you'll take modules and an applied project designed to build the professional skills for the employment areas our graduates progress to, for example:
- Machine Learning and Artificial Intelligence
- Data Engineering and Big Data
- Data Ethics and Governance
- Applied Statistics and Modelling
- Data Visualisation and Communication
- Applied Data Science Research Project
Applied and industry experience
The programme includes an industrial placement and an applied research project, giving you direct experience of the work the degree leads into. The campus sits within Johor's growing data corridor under the JS-SEZ, placing students close to the regional employers building out analytics and data-centre capacity.
Your future
There is strong and sustained demand for data science graduates across research, industry and the public sector, as organisations work to turn data into decisions. Many of our graduates move into technical and analytical roles, and a proportion choose further study at master's or doctoral level before entering permanent employment.
Data Science graduates typically take up roles such as:
- data scientist
- data analyst
- data engineer
- machine learning engineer
- business intelligence analyst
- data governance or quality specialist
Career support
Career support provides an opportunity to foster skills towards career development. In addition to the resources available here, you can also take advantage of the 缅北禁地 UK careers service.
We aim to support you by providing:
- Career support appointments
- Career workshops
- Inter-professional education (IPE)
- Summer research internship opportunities
- NUMed research fellowships
- Professional placement
- NCL+ Awards
- NCL+ advanced award in research
- Research and further education
- Alumni interaction
Australian Certificate Year 12 / Monash University Foundation Year
Australian Matriculation or Monash University Foundation Year (MUFY) with an average of 70%, including B in Mathematics and one subject from Physics, Chemistry, Biology or Human Biology, Computing, Further Mathematics or Psychology, and one other subject.
Other Australian qualifications are also accepted, including University of New South Wales (UNSW) Foundation, Western Australia Curriculum Council, Higher School Certificate (HSC) Sydney, Trinity College Foundation Studies, Australian University Foundation Programme, South Australia Matriculation (SAM) and Victoria Certificate of Education Year 12.
National Certificate of Education Achievement (NCEA) Level 3 / New Zealand Bursary
Minimum of 80 credits, including two Level 3 subjects endorsed with Merit and one Level 3 subject endorsed with Achieved, equivalent to BBC at A-Level. Subjects must include B in Mathematics and one subject from Physics, Chemistry, Biology or Human Biology, Computing, Further Mathematics or Psychology, and one other subject.
English Requirements
Please refer to the table below on the English Requirements for Bachelor of Science (Honours) in Data Science:
| Test | Examination Board | Malaysian Students | International Students |
|---|---|---|---|
|
SPM1119 |
Cambridge International Examinations |
B |
N/A |
|
CEFR |
Cambridge International Examinations |
C2, C1, B2 |
N/A |
|
IGCSE English - First Language |
Cambridge International Examinations |
C |
N/A |
|
IGCSE English - Second Language |
Cambridge International Examinations |
B |
N/A |
|
MUET |
Majlis Peperiksaan Malaysia |
3 |
N/A |
|
IELTS |
Cambridge English Language Assessment / British Council |
6.5 |
6.5 |
|
Test of English as a Foreign Language (TOEFL) |
Educational Testing Service |
90 |
90 |
|
Pearson Test of English Academic |
Pearson |
62 |
62 |
|
Certificate in Advanced English (CAE), Certificate of Proficiency in English (CPE), Cambridge Linguaskill |
Cambridge English Language Assessment |
176 |
176 |
*IELTS 6.0 in each of the four elements of the test is required.
Fees and funding
A single inclusive fee is charged to cover the costs of tuition, library, laboratory and computing facilities, examination, administration fees and all other academic-related charges. There are no hidden extra costs.
Tuition Fees for Academic Year 2027/2028
|
Student Category |
Base Tuition (RM) |
6% SST (RM) |
Total Tuition (RM) |
|
Malaysian Students |
43,700.00 |
Exempt |
43,700.00 |
|
International Students* |
56,200.00 |
3,372.00 |
59,572.00 |
*The 6% SST applies for international students only.
Sales and Service Tax (SST)
The following education-related charges are subject to SST:
- tuition fees
- registration fees
- admission charges
- co-curricular charges
- books and study materials charges;
- teaching aids/facilities charges; or
- any other charges or fees relating to education imposed by the institution.
Malaysian students are not subject to this tax.
Funding, loans and scholarships
Learn more about our fees and funding here.