Overview
The Data Science and Analytics programme at Universiti Kebangsaan Malaysia is tailored for individuals seeking to delve into the rapidly evolving field of data science. This master's degree is structured to provide students with a robust understanding of data management, analysis, and interpretation, essential for making informed decisions in various sectors. With a strong emphasis on practical skills and theoretical knowledge, the programme prepares students to tackle real-world challenges through data-driven solutions.
Why Data Science and Analytics at Universiti Kebangsaan Malaysia?Universiti Kebangsaan Malaysia is renowned for its academic excellence and innovative research. The university's strategic partnerships with industry leaders enhance the learning experience, providing students with access to cutting-edge facilities and resources. Additionally, the programme is designed to align with current industry demands, ensuring that graduates are well-prepared for the workforce.
Tuition Fee BreakdownThe tuition fee for international students enrolling in the Data Science and Analytics programme is MYR 36,200 for the full duration of the course. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Data Mining and Predictive Analytics
- Statistical Methods for Data Analysis
- Machine Learning and Artificial Intelligence
- Big Data Technologies
- Data Visualisation Techniques
- Research Methodology in Data Science
- Ethics in Data Handling
Graduates of the Data Science and Analytics programme are well-equipped to pursue various career paths in data-driven industries. Alumni have successfully secured positions in leading companies, working as data analysts, data scientists, and business intelligence experts. The skills acquired during the programme enable graduates to thrive in sectors such as finance, healthcare, and technology, where data analysis plays a pivotal role in decision-making processes.
Programme Structure
Courses included:
- Investment Analysis and Portfolio Management
- Issues in Risk Management and Insurance
- Data Science
- Machine Learning
- Unstructured Data Analytics
- Data Visualization and Communication
- Business Analytics
- Mathematical Statistics with Computing
- Data Management
- Multicriteria Decision Making
- Data Mining
- Statistical Methods for Computational Biology
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
Campus Location
- Kuala Lumpur, Malaysia
Disciplines
Data Science & Big Data Data Analytics View 13 other Masters in Data Analytics in MalaysiaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Bachelor’s Degree in relevant field with minimum CGPA 2.50 or equivalent, from any institutions of higher learning recognized by the UKM Senate; or
- Bachelor’s Degree in relevant field with minimum CGPA 2.00 – 2.49 or equivalent, with minimum of 5 years working experience or research project in relevant field. Proof of the working experience of a foreign candidate should be acknowledge by the embassy of the respective country;
- An international student shall obtain minimum results of TOEFL iBT score 46 / IELTS band 5.5 / CEFR band B2 / MUET band 3 (An international student who comes from a country where English is the official language, or who has obtained academic qualifications from any institution of higher learning that uses English as the medium of instruction may be exempted from the requirement for TOEFL / IELTS / MUET); and
- Fulfill other requirements prescribed by the UKM Senate from time to time.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University Kebangsaan Malaysia and/or in Malaysia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents36200 MYR / year≈ 36200 MYR / year
Living costs
Kuala Lumpur
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility