Study Data Science in Malaysia

A data science course normally teaches statistics and probability, programming in a language such as Python or R, databases and data cleaning, and then data visualisation, machine learning and the communication of results. Many courses use real or realistic data sets for their assignments, and later years often include a project or dissertation in which students analyse a data set of their own choice.

Titles can include analytics, business analytics or big data, and some courses are aimed at a particular field, such as business or health. Courses differ in how technical they are: some stress the statistics and the programming, and others stress how to explain findings to people who are not specialists. Artificial intelligence, computer science and information technology have their own pages, linked below.

Data science suits students who like finding the answer hidden in a large set of figures and then explaining it clearly to someone else. It asks for comfort with statistics and with programming, and also for care, because conclusions are only as sound as the data and the method behind them. If you want to build systems that learn from data, rather than analyse it, compare the artificial intelligence page.

Study levels in Malaysia follow a ladder. A foundation course is a pre-university year for students whose school qualification does not give direct entry to a bachelor's degree. A diploma is shorter and more practical, and some universities let diploma graduates join a degree in a later year; each university decides how much credit it gives. A bachelor's degree is the main undergraduate qualification, a master's degree follows it, and a PhD is a research degree.

At bachelor's level, data science is a full degree or a specialisation inside a computing or business degree. A master's degree is often taken after a first degree in another subject and expects some statistics or programming. A PhD is a research degree. Diploma and foundation courses in computing or business give routes into a degree, and universities decide the credit they allow.

Pages for a single study level: Bachelor's Degree in Data Science in Malaysia

Read the list of subjects on the course page and look at how much is statistics, how much is programming and how much is about the field of application. Check which programming languages and tools are named, and what mathematics or programming the entry requirements assume.

• Entry requirements. They differ between universities and courses. Compare the entry requirements on the course page with your own certificates.
• English language. Most courses state a minimum score in a test such as IELTS. The scores stored for these courses are in the summary above.
• Recognition. Each university states how its courses are approved or accredited. Zawqari does not confirm a university's status, so ask the university to confirm it in writing if it matters for your plans.
• Fees and intakes. Fees and intake months are set by the universities and can change. Each course page shows the source and date of every figure.

Listed alphabetically. The order is not a ranking.

• Asia Pacific University of Technology & Innovation5 courses
• Limkokwing University of Creative Technology1 course
• Lincoln University College3 courses
• Multimedia University1 course
• UCSI University2 courses
• Universiti Tenaga Nasional1 course

• Study Artificial Intelligence and Data Science in Malaysia

  Artificial intelligence, machine learning, data science and analytics courses in one list.

• Study Artificial Intelligence in Malaysia

  Artificial intelligence and machine learning courses.

• Study Information Technology in Malaysia

  Information technology courses: systems, networks, databases and software for organisations.

Need to improve your English first? See English courses at language centres in Malaysia.