Bachelor of Computer Science in Data Science - Study (Monash Malaysia)

KPT/JPT (R/0613/6/0076) 09/29 - MQA/FA12435

Enter a world of opportunity.

This is the era of big data and artificial intelligence. Data science, a distinct but related field to computer science, represents a cutting-edge discipline which applies scientific methods, mathematics, algorithms and artificial intelligence to extract and visualise intelligent insights from huge volumes of complex data.

In the fast-progressing world of the Information Age, these insights have the potential to fuel innovation and transform decision making. Data scientists deal with the challenges of big data – its interpretation, management and use – in fields as diverse as marketing, information systems, engineering, finance, arts, humanities, science and medicine.

Monash brings a breadth of expertise to bear on issues relating to big data. If you aspire to solve real-world problems based on the information challenges of big data, then specialising in data science will equip you with the practical skills to excel in your chosen career.

The world faces a substantial talent gap in the field of big data analytics and data engineering, so get your foot in the door now.

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Course map

Handbook

Course guide

At a glance

Areas of study

Why Monash?

Career paths

Entry requirements

Duration

3 years

Intakes

February, July and October

Fees

In 2027, the annual tuition fees for this course are:

• RM48,480 for Malaysian students
• RM57,600 for international students.

General fees

• Application (once only) - RM100
• Registration (once only) - RM200
• General amenities (per semester) - RM100
• International student pass application - Click here.

Credit transfer

Applications for credit can include credit transfer for previous study or recognition of prior learning.

The Bachelor of Computer Science in Data Science degree program consists of 14 compulsory (core) units in computer science, data science and mathematics, two restricted electives chosen from an approved list of data science topics, eight free elective units, and an industry attachment.

The free electives can be taken as a sequence in a specific field of study within the school or from a discipline offered by another school. A capstone project spanning both semesters of the third year concludes your studies.

Choose from these areas of study:

• Mathematical statistics: Unleash your potential in mathematical statistics. Dive deep into statistical inference, mastering estimation, hypothesis testing, data analysis, and unlocking valuable insights that create real-world impact.
• Principles of data science: Embark on an exciting journey of understanding the multifaceted world of data through real-life case studies. Gain practical knowledge on data handling, storage, preparation, and analysis, empowering you in the ever-evolving field of Data Science.
• Modelling for data science: Immerse yourself in the captivating world of Data Science at Monash University. Explore statistical modeling foundations, and gain invaluable insights into data analysis, hypothesis testing, predictive models, and estimation techniques, equipping you with essential tools to excel in this fascinating field.
• Business intelligence and data warehousing: Explore the impact of automation and technology on data accumulation in businesses. Delve into data warehousing and OLAP technology, uncovering the requirements for efficient reporting, flexible analysis, and hands-on design of data repositories in this captivating journey.
• Data analytics and visualisation: Dive into the realm of data visualisation, leveraging visual perception to comprehend data. Explore the application of interactive visualisations in business, engineering, design, and sciences, gaining hands-on experience in designing impactful visuals using computer tools for your chosen domain.
• Big data management and processing: Explore data engineering and build the essential software infrastructure for data science. Gain insights into big data processing, handling large volumes, diverse formats, and data streaming while exploring software tools and techniques in this unit's immersive journey.
• Deep learning and artificial intelligence: Explore deep learning, the driving force behind AI and the Fourth Industrial Revolution. Gain a comprehensive understanding of deep learning theory and practical skills in computer vision and natural language processing through hands-on experiences in this transformative unit.
• Malicious AI and dark side security: Gain practical experience and develop the essential skills of a Chief Security Officer in this study area. Engage in role-playing case studies, where you'll face off against fellow students, exploring the latest technologies used by attackers and learning how to counter them in the realm of AI and security warfare.

More information The Monash University Handbook has detailed information about the course structure and requirements.

Download the course map here.

Quality education

Monash University is ranked #48 in the world for data science and artificial intelligence and #51 for computer science and information systems (QS World University Rankings by Subject 2026).

Professionally accredited

The Bachelor of Computer Science in Data Science degree program is accredited by the Australian Computer Society (ACS). This means after graduation, you can become a ACS member and access career support, groundbreaking reports and more.

Get hands on

Apply for the Industry-based Learning program and join a leading IT organisation for a 22-week industrial placement. This is a great opportunity for you to apply the skills you’ve learnt in the classroom in the corporate world. To top it off, the host organisation will award you with a scholarship throughout the duration of your placement.

Go for an internship

As an alternative to the IBL program, you’re required to go for a 12-week internship in an industry-based environment after your second year. This internship will give you a strong foundation and framework for experiential learning. Our students have interned for Astro, Axiata, F-Secure, Intel, Mimos Berhad, Petronas, Photobook, and more.

Broaden your perspective

As a Monash IT student, you’ll have special access to career talks and panel discussions with invited industry guests, industry competitions, as well as professional certification programs.

Facilities designed to inspire

Our teaching labs are equipped with the latest technology to support a full range of units. We have dedicated labs for multimedia, intelligent systems, and networking, including a fully operational hands-on data centre running on Cisco technology.

Student Leaders Network

This one-year program lets you engage with industry professionals through workshops, industry site visits, networking evenings, and a student-organised leadership summit. You'll develop critical employability skills, such as leadership, teamwork and communication,that are highly regarded by employers.

Graduates with data science skills are in high demand. Possible careers could include:

• business intelligence analyst
• chief data officer
• data analyst
• data architect
• data mining engineer
• data scientist
• quantitative analyst
• quantitative researcher.

You'll be able to work in a wide range of industries, such as:

• digital humanities
• consulting
• cybersecurity
• law
• scientific research
• marketing
• robotics
• engineering
• business analytics
• banking.

To enter Monash University, students must satisfy particular academic, English language and age requirements.

Entry score

You will need the following entry scores for the Bachelor of Computer Science in Data Science:

*The undergraduate entry requirements published are for students who commence the MUFY program in 2024.

**The Malaysian Qualification Agency (MQA) accepts a minimum D Grade in A Level to be equivalent to the STPM Pass grade. For more information, please click here.

***The Monash College Diploma Part 2 entry requirements published are for students commencing their undergraduate destination degree in 2025.

Note: According to the MQA Program Standards, only Diploma applicants who completed a Diploma in Science and Technology or a Diploma in Computing fields can be considered for enrolment into a bachelor’s degree in computer science.

∆ To be assessed based on case-by-case basis.

Prerequisites

Mathematics (Australian Year 12 Higher equivalent) is a formal prerequisite for the Bachelor of Computer Science in Data Science.

Courses with maths and science prerequisite subjects

If the course you are applying for requires maths and/or science as prerequisite subjects, you can meet the requirements in the following ways:

• Australian Year 12 or International Baccalaureate (IB) Diploma Programme: You must meet the maths and/or science prerequisite subject required for your chosen course as specified above.
• Other qualifications recognised by Monash: If you have completed maths and/or science subjects in the relevant discipline at the required grade level, it is assumed that you have knowledge equivalent to the Australian Year 12 (VCE equivalent) prerequisite subject required for your chosen course. It is strongly recommended that you check that you have covered the assumed knowledge required for your course by completing the Assumed Knowledge Skills Analysis. This online activity includes multiple-choice questions based on your prior studies and helps you identify areas for revision, so you can start your course feeling confident and prepared. Once you accept your Monash offer and set up your student account you can complete the Assumed Knowledge Skills Analysis before starting your course.

These guidelines do not apply to the Bachelor of Medical Science or Doctor of Medicine.

"I’m glad I made the decision to study at Monash. I met many inspiring students from around the world and was exposed to a wide range of research projects, which eventually helped to shape my interest in artificial intelligence. With the wealth of opportunities offered by both Australian and Malaysian campuses, Monash was all that I’d expected and more. It gave me invaluable knowledge and experiences, and moulded me into a well-rounded individual."

Thung Hui Ling Bachelor of Computer Science Software Engineer at Strands

Frequently Asked Questions (FAQ) About Bachelor of Computer Science in Data Science

What are the entry requirements for the Data Science degree at Monash?

Entry requirements for the Data Science specialisation include completing a recognised pre-university or secondary school qualification, such as A Levels, ATAR or STPM, with strong results in mathematics. Both domestic and international applicants must also meet Monash University's English language proficiency requirements. Detailed prerequisite scores are available under the entry requirements tab.

What is the tuition fee for Monash Malaysia's Data Science degree?

In 2026, the annual tuition fee for the Bachelor of Computer Science in Data Science is RM47,040 for Malaysian students and RM54,720 for international students. Please note that, from 1 July 2025, a 6% service tax applies to tuition and related fees for international students at private universities in Malaysia.

Can I transfer credits from diploma to Monash University's Data Science degree?

Yes. Monash University Malaysia accepts credit transfer applications based on previous studies, relevant diploma qualifications or recognition of prior learning. Credit exemptions are assessed on a case-by-case basis, depending on syllabus alignment and the relevance of prior study.

What career paths follow a Data Science degree at Monash Malaysia?

Graduates are equipped for high-demand technical roles in Malaysia and globally. Potential career paths include data scientist, data engineer, business intelligence analyst, machine learning engineer and software engineer. Monash graduates work across multinational companies, data analytics consultancies and technology start-ups.

How long does the Data Science degree at Monash Malaysia take?

The Bachelor of Computer Science in Data Science is a three-year, full-time program. Intakes are available three times a year, in February, July and October.

Related courses

• Bachelor of Computer Science
• Bachelor of Computer Science in Artificial Intelligence
• Bachelor of Computer Science (Honours)

Get in touch

For more information about this degree, contact us.