phd data science malaysia

Doctor of Philosophy in Data Science

Doctor of philosophy in data science ( by research).

(N/0613/8/0002) (08/29) (MQA/PA15774)

Doctor of Philosophy in Data Science is created to provide the knowledge and abilities required for data science research and discovery. The programme also offers substantial applied training that is aimed toward interdisciplinary collaboration because the program’s ultimate goal is to extract information and facilitate discovery from complex data.

• Full Time: 3-5 Years | Part Time: 4-8 Years
• Intake: Ongoing

The Doctor of Philosophy in Data Science gives broad exposure to key concepts and tools from Data analytics, AI, Machine Learning, and more knowledge and abilities to conduct data science-related research and discovery. The objective of this program is to discover information and facilitate innovation from complicated data and to discover in-depth knowledge of data-driven science about research and scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. The program aims to produce data research professionals who are passionate about drawing meaningful insights from data using data science approach.

For successful completion of PhD candidate should publish minimum four research articles in Scopus indexed journals, with Lincoln University College affiliation.

Program Aim

The program Doctor of Philosophy in Data Science will produce professionals who are:

• Knowledgeable and skillful in the theory and practice of areas of Data Science with the concept of research work.
• Competent to practice technically and process interpersonal skill to communication making on various situations and responsibilities during their research work.
• Capable to work ethically and adopt digital and analytical skills to lend support Data Science professional in their specialty.
• Able to adopt the autonomy and responsibilities with the excellent leadership skills that is useful for industrial needs in the field of Data Science.
• Efficient to utilize personal skill to undergo entrepreneurial work in Data Science field effectively.

Career Opportunities

Doctor of Philosophy in Data Science gives students a deep understanding of programming, statistics, data analysis, machine learning, and artificial intelligence. The number of career options in data science is expanding incredibly fast. Graduates of doctoral programs in data science can work as:

• Data Scientist
• Big Data Analyst
• Machine Learning Engineer
• Mining Analyst
• Data Modeler
• Data Architect/Engineer
• Qualitative Analyst

Course Overview

Subject highlights, entry requirements, scholarship programme, download brochure.

+1300 880 111 (Malaysia) +603-7806 3478 (International)

• +603-7806 3479
• [email protected]

How to Apply?

Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.

After you submit your application, an admissions representative will contact you and will help you to complete the process.

• You Get Ready

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Enquiry Centre

Student information, login directory, testimonial.

Everything that I learned at Lincoln University College really helped put me above the competition in the field of my career.

Student Name BA Business Management

PhD in Data Science

(By Research)

Accreditation: (N/0613/8/0007) (MQA/PA 17505)

Doctor of Philosophy in Data Science (PhD DS) support the efforts and initiatives to make the Industry Policy 4.0 or Industry 4WRD planning possible. In line with that, FOUR research clusters are being emphasized in the programmes, they are DATA SCIENCE (DS), INTERNET OF THINGS (IoT), DATA ANALYTICS (DA) and MACHINE LEARNING (ML) which are reflected in the selections of core and elective courses offered.       

• Requirements
• Tuition Fees

Programme Educational Objectives (PEO)                            (PEO1)                        Mastering in Advanced knowledge of latest focus areas in IT to solve real problems in organisation and society.

(PEO2)                        Creating innovative and creative solution of latest focus areas in IT by technically communicating with peers and communities.

(PEO3)                        Leading entrepreneurial ventures and projects in latest focus areas of Information Technology, and demonstrating effective planning, management and decision making.

(PEO4)                        Possessing high accountability and independence in leading life-long learning to generate advanced digital solutions with professionalism and high standards of ethical conducts within organization and society.

Programme Learning Outcomes (PLO)                            PLO 1                     Formulate comprehensive, systematic, integrated, new, complex and abstract ideas of current critical issues in the advanced frontiers of knowledge in the latest focus areas of Data Science.

PLO 2                     Elaborate new, complex, abstract ideas and current critical issues in the most advanced frontiers of knowledge in the latest focus areas of Data Science and other related areas, and modify existing concepts and practices.

PLO 3                     Build mastery of practical, technical skills/practices and scientific skills at the forefront of one or more areas of specialisation and develop new complex skills, techniques and solutions to solve new, highly complex and emerging problems.

PLO 4                     Create effective collaboration with different people in learning and working communities and other groups and networks, ethically and professionally.

PLO 5                     Compile information, insights, ideas and problems, and propose solutions cogently/coherently to peers, scholarly community and society in the latest focus areas of Data Science.

PLO 6                     Develop new appropriate tools/methodologies to support and enhance research in the latest focus areas of Data Science.

PLO 7                     Critically formulate numerical and scientific data using quantitative or qualitative problem-solving tools.

PLO 8                     Construct substantial autonomy, independence, leadership, and professionalism in research management to contribute to the technological, social and cultural progress of academic and professional practice to the society at large on emerging issues at professional levels.

PLO 9                     Improve responsibility to integrate knowledge for lifelong learning with developing new ideas, solutions and systems, and overall management of one’s research organisation.

PLO 10                     Invent entrepreneurial ventures and projects in the latest focus areas of Data Science.

PLO 11                     Discuss emerging ethical, legal and professional issues, their complexities and implications for advancing research in the fields and professionally maximise contribution to social, technological and economic developments.

First semester:

List of Compulsory Courses

• TDS5908 Research Methodology
• TDS5101 Advanced Data Science
• TDS5901 Research Seminar

TDS6999 Doctoral Research (Stage-1)

• Research proposal writing

Second semester:

Choose one elective course      

• TDS5201 Programming for Data Science
• TDS5301 Big Data Analytics
• TDS5401 Advanced Data Engineering

TDS6999 Doctoral Research (Stage-2) Completing research proposal

• Proposal defend should be approved maximum in one year.

Third – Sixth semester:

• TDS6999 Doctoral Research (3-6)
• Viva-Voce of thesis defense examined by internal and external examiners.
• Prior to Viva Voce, at least two publications in SCOPUS-indexed journal or conference proceedings.

Programme Duration (Full Time)

3 years (6 semesters)

Entry Requirements

• A Master’s degree (Level 7, MQF) in Computing or related fields as accepted by the Senate; OR
• A Master’s degree (Level 7, MQF) in non-Computing fields with a minimum of five (5) years of working experience in Computing or related fields must undergo appropriate prerequisite courses as determined by HEP; OR
•  A Master’s degree (Level 7, MQF) in non-Computing fields with less than five (5) years of working experience in Computing or related fields must undergo rigorous internal assessment as determined by HEP to identify the appropriate prerequisite courses that equivalent to their working experience in the Computing or related fields; OR
• Other qualifications equivalent to a Master’s degree (Level 7, MQF) recognised by the Malaysian Government.

English Requirement

English Competency Requirement for International Student:

• Test of English as a Foreign Language (TOEFL) score of 500, or 
• International English Language Testing System score of 5.0 or its equivalent, or
• Achieve a minimum Band 4 in Malaysian University English Test (MUET), or 
• Any equivalent to Common European Framework of Reference for Languages, CEFR (B2).

MYR 3,625/ Semester                         (Local Students)

MYR 5,125/ Semester                         (International Students)

Excluding immigration fees, insurance and dormitory.

• Student pass fees for international students are subjected to a determination under the Malaysian Immigration Department.
• Student insurance fees are subjected to the statutory provisions of the University and local authorities.
• Student accommodation fees are determined by university rules and are available upon request.

Muhammad Akmal Remli 

Senior lecturer (visiting).

Areas of Expertise 

Artificial Intelligence, Deep Learning, Machine Learning, Computational Systems Biology.

Ph.D., Computer Science, 2018, Universiti Teknologi Malaysia (UTM), Malaysia.

Master, Computer Science, 2014, Universiti Teknologi Malaysia (UTM), Malaysia.

Bachelor, Computer Science, 2006, Universiti Teknologi Malaysia (UTM), Malaysia.

If you do not have title for your research, you may consider these topics

Hadhrami Ab Ghani

Intersection of cutting-edge communications, artificial neural networks, network security, computer vision, and data science. I delve into these domains to explore and innovate, bridging the gaps between technology and theory.

Ph.D., Electrical Communication, 2011, Imperial College London, United Kingdom.

Diploma, Communication and Signal Processing, 2007, Imperial College London, United Kingdom.

Master, Telecommunication Engineering, 2005, University of Melbourne, Australia.

Bachelor, Computer Science, 2002, Multi Media University (MMU), Malaysia.

Other Programmes

PhD In Business and Management

PhD in Information Technology

PhD in Education

PhD in Social Science

PhD in Islamic Studies

PhD in Computational Science and Engineering

PhD in Architecture

PhD in Service Design

MBA Master of Business Administration

MSc in Computing

MSc in Computing covers the expertise of Information Technology, Computer Science, Artificial Inellegence…

25 Best universities for Data Science in Malaysia

Updated: February 29, 2024

• Art & Design
• Computer Science
• Engineering
• Environmental Science
• Liberal Arts & Social Sciences
• Mathematics

Below is a list of best universities in Malaysia ranked based on their research performance in Data Science. A graph of 86.7K citations received by 6.67K academic papers made by 25 universities in Malaysia was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. University of Malaya

For Data Science

2. University of Technology Malaysia

3. University of Science, Malaysia

4. National University of Malaysia

5. MARA University of Technology

6. Putra Malaysia University

7. University of Malaysia, Pahang

8. Petronas Technology University

9. Multimedia University

10. Northern University of Malaysia

11. Sultan Idris University of Education

12. International Islamic University Malaysia

13. Technical University of Malaysia, Melaka

14. Tenaga National University

15. Sunway University

16. Tunku Abdul Rahman University

17. University of Kuala Lumpur

18. University of Malaysia, Sarawak

19. Tun Hussein Onn University of Malaysia

20. University of Malaysia Sabah

21. UCSI University

22. Islamic Science University of Malaysia

23. University of Malaysia Perlis

24. University of Malaysia, Terengganu

25. Darul Iman University, Malaysia

The best cities to study Data Science in Malaysia based on the number of universities and their ranks are Kuala Lumpur , Johor Bahru , George Town , and Bangi .

Computer Science subfields in Malaysia

• Faculty of Computer Science & Information Technology
• [email protected]
• +603-79676300

Doctor of Philosophy (Ph.D)

The Doctor of Philosophy (PhD) is the highest degree awarded by the university. It requires the conduct of an original research project, writing and defence of a thesis.

Career Opportunity

• Computer Support Specialist
• Computer Systems Analysts
• Network and Computer Systems Administrator
• Network Systems and Data Communications Analysts
• Academician/Researcher
• Computer Specialists
• Web Content Developer
• Information Broker
• Information Scientist
• System Analyst
• Software Project Manager
• Software Designer
• Software Configuration Manager

Course Structure

Entry requirement.

• a Bachelor’s degree in the relevant field; and
• a Master’s degree in the relevant field; and
• evidence of adequate training, work experience and ability to undertake research

International applicants are required to have: Universiti Malaya requires all postgraduate candidates to be proficient in the English language. Entry requirements for those who are writing their Thesis in English:

• A band 6 for IELTS; OR
• A score of 550 paper based total, a score of 213 for computer-based total or a score of 80 for internet-based for TOEFL.
• PTE Academic /PTE Academic (Online) score 59

Intake Schedule

• International

Associate Professor Dr. Por Lip Yee @ Por Khoon Sun Programme Coordinator +603 7967 6410 [email protected]

Mrs. Azarina Bohari Administrative Assistant +603 7967 6380 [email protected]

Last Update: 04/11/2024

• PROSPECTIVE STUDENTS
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Database has always been a crucial component in any information system. Current trends have shown the tansition of the traditional centralized relational database approach to become more advanced database. Research interest in database area include the following leading sub-areas: semantic web; databse (centralised, distributed, parallel, mobile, multimedia, bio-medical); data quality; data warehouse; query formulation, processing and optimisation; integrity, integration, privacy and security in databases; applications, models and frameworks for e-commerce, e-governmence; and ontology management. ENTRY REQUIREMENT Click here for details LIST OF EXPERTS Faculty of Science Prof. Dr. Habshah Midi Assoc. Prof. Dr. Noor Akma Ibrahim Assoc. Prof. Dr. Jayanthi A/P Arasan Assoc. Prof. Dr. Mohd Bakri Bin Adam Assoc. Prof. Dr. Choo Wei Chong Dr. Wendy Ling Shin Yie Faculty of Computer Science and Information Technology Prof. Dr. Rahmita Wirza O. K. Rahmat Assoc. Prof. Dr. Azreen Azman Assoc. Prof. Dr. Lilly Suriani Affendey Assoc. Prof. Dr. Mas Rina Mustaffa Assoc. Prof. Dr. Muhamad Taufik Abdullah Assoc. Prof. Dr. Nor Asilah Wati Abdul Hamid Assoc. Prof. Dr. Nurfadhlina Mohd Sharef Assoc. Prof. Dr. Razali Yaakob Assoc. Prof. Dr. Shyamala A/P C. Doraisamy Assoc. Prof. Dr. Thinagaran Perumal Assoc. Prof. Ts. Dr. Fatimah Sidi Dr. Raihani Mohamed Dr. Hazlina Hamdan Dr. Khairul Azhar Kasmiran Dr. Maslina Zolkepli Dr. Nor Azura Husin Dr. Noridayu Manshor Dr. Siti Khadijah Ali Dr. Siti Nurulain Mohd Rum Ts. Dr. Iskandar Ishak Institute for Mathematical Research Prof. Dr. Lee Lai Soon Assoc. Prof. Dr. Nor Asilah Wati Abdul Hamid Assoc. Prof. Dr. Nurfadhlina Mohd Sharef Assoc. Prof. Dr. Masnida Hussin Dr. Ng Keng Yap Dr. Azree Shahrel Ahmad Nazri Halal Products Research Institute Ts. Dr. Iskandar Ishak

Updated:: 13/09/2024 [aslamiah]

Universiti Putra Malaysia, 43400 UPM Serdang, Selangor

Contact List by Unit Staff and Services

Programme Offered

• Doctor of Philosophy

Mode of Study: Research Registration Status: Full Time & Part Time

INFORMATION SCIENCE & TECHNOLOGY PROGRAMME

Faculty of information science and technology.

PROGRAM SUMMARY

The Faculty of Information Science and Technology offers 2 programmes, the Master Programme and Doctor of Philosophy Programme.

The goal of the PhD programme is to prepare the next generation of leading researchers. The PhD is a programme of an independent, self-directed academic research degree, supported by a team of supervisors that makes an original contribution to knowledge written up in a publishable thesis and high impact journals. The PhD programme also supports the development of research and generic skills to equip students to operate successfully as a professional researcher in any setting.

LIFE AT THE FACULTY

The Faculty of Information Science and Information Technology is a stimulating environment in which new ideas, experimental designs, and robust systems are plentiful. 

Our teaching programmes are always among the top in Malaysia. We also enjoy strong links with industries, which helps to ensure that our research and teaching is well informed and relevant to the needs of society. 

Life for undergraduate majors centers around the various educational computing facility which is housed in the faculty. Apart from the major academic courses, all undergraduate students will participate in various Special Interest Groups (SIGs), aiming to promote students in applying and fostering their skills dan knowledge to industries and communities. 

These SIGs ranging from Intelligent Machines Club, Cyber Hack & Ethics to Video Innovation inculcate creativities and innovations of our students. In the final year of the four years of the undergraduate programs, students will embark on a final year project and five months of industrial attachment.

Life for postgraduate students will mainly focus on the three research centers within the faculty: the Center for Artificial Intelligence (CAIT), the Center for Software Technology & Management (SOFTAM), and the Center for Cyber Security (Siber). Students will belong to either of these research centers which support conducive and supportive research environments. 

Programme Requirement

A person who intends to apply for a doctoral programme should have the following qualifications:

• Master’s Degree from a University or any institution of higher learning recognized by the Malaysian Qualifications Agency (MQA) and/ or have accreditation recognized by a foreign Accreditation Body, or an institution with accreditation as prescribed by a programme;
• other qualifications equivalent to a masters degree or other qualifications with experience recognised by the Senate; or
• a student currently pursuing full time master’s programme under sub regulation 6 (a) at the University and recommended by the Faculty’s/ Institute’s Graduate Studies Committee for status conversion to a doctoral programme with approval from the Dean/ Director; or
• Bachelor Degree with distinction from the University or any institution of higher learning subject to what is prescribed by the Faculty/ Institute and approval by Malaysian Qualifications Agency (MQA) and/ or with accreditation recognised by a foreign Accreditation Board
• any other qualification recognised by the Senate obtained through the Accreditation of Prior Experiential Learning (APEL); or
• fulfils other requirements prescribed by the programme (if applicable); and
• fulfils requirements of the Malaysian Qualifications Agency (MQA)

ENGLISH LANGUAGE PROFICIENCY REQUIREMENTS

1. An international candidate is required to fulfill the English Language proficiency requirements as follows:

a) Obtained TOEFL (550), IELTS(6) or MUET (4) results which fulfil the score or minimum band requirements prescribed by the programme; or

b) For certain programmes, a candidate is required to sit for an English Proficiency Test (EPT) and if he/she fails to achieve the level specified by the programme, the candidate is required to attend and pass the English Proficiency Module (EPM) in a maximum period of two (2) semesters before he is allowed to register for the study programme. The candidate shall register as a Non Graduating Student.

2. The Faculty/Institute may grant exemption to the requirements specified in subregulation (1) for the international candidate who:

a) will be writing his/her thesis/dissertation in the Malay/ Arabic languages;

b) has the academic qualifications obtained from any local universities recognised by the Senate; or

c) is originally from a country where English is the official language or he/she has the academic qualifications obtained from any higher learning institution which uses English as the medium of instruction.

The candidate may be exempted from the requirements stated in subregulation (2), but the candidate shall sit for the English Proficiency Test (EPT) and if he/she fails to obtain the level specified by the programme, the candidate is required to attend and pass the English Proficiency Module (EPM).

How Much It Will Cost Me?

Please contact Centre for Academic Management for further details:

Tel: +603 8911 8173/ 8027/ 8456 Fax: +603 89118471 Email:  [email protected]

Please contact Shaping Advanced & Professional Education Center (UKMShape) for further details:

Tel: +603-8921 3366 / 4196 / 3997 /5377 Fax: + 603-8925 1391 Email: [email protected]

Why This Programme?

• Discover your full potential as an independent researcher by working closely with our experienced faculty members who will supervise you throughout your study.
• Participate in various projects ranging from laboratory-based or field research (hospitals or community) to inculcate genuine interest in your specialised research area.
• Our graduates are equipped with research knowledge and skills to support their career development/improvement in every area of academic or fundamental/applied pharmaceutical sciences which requires professional research and development scientists. 
• Opportunity to join the postgraduate society to take advantage of increased networking, career development, and learning opportunities.

How To Apply

• Candidates have to apply online via: http://www.ukm.my/join/
• Intake for coursework and mixed mode are open twice a year, which is every October (for the March intake of the following year) and every April (for the October intake).
• Application for research mode programmes can be made any time throughout the year.
• The duration for Masters programme requires 2 to 4 semester of study on fulltime basis and 4 to 8 semesters on a parttime basis and for Doctor of Philosophy programme is 6 to 12 semesters on fulltime basis and 8 to 14 semesters on a part-time basis.

Faculty Information

Campus: Bangi, Selangor Faculty: Faculty of Information Science and Technology Degree: Doctor of Philosophy (PhD)

• Research & Mixed Mode Programme – Full Time (Min 6 Semester) / Part Time (Min 8 Semester)

Contact :  Faculty of Information Science and Technology Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor Malaysia

Tel: +603 8921 6812 / 7043 / 6785 / 6077 Fax: +603-8925 6732 Email: [email protected] Website: www.ukm.my/ftsm  

Centre for Academic Management Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor Malaysia

Tel: +603 89118468 / 8389 Fax: +603 89118471  Email: [email protected] Web: www.ukm.my/akademik

Ready to Be A UKM Student?

All in Ringgit Malaysia (RM)

Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor Malaysia Tel: +603-8921-5555 Fax: +603-8921-4097 Email: [email protected] 

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• Conferences
• Last updated July 15, 2024
• In AI Trends & Future

7 Leading Malaysian Universities Where You Can Study Data Science

• Published on February 15, 2019
• by Ambika Choudhury

With demand for data science increasing, students are looking for full-time Masters programmes to gain a deep understanding of this buzzing field and strive ahead in their career. Malaysia has emerged as one of the best options. The country provides cost-effective learning opportunities with a thriving data science ecosystem and that’s why many international students are attracted towards Malaysian Universities.

In this article, we list 8 top data science courses (undergraduate and postgraduate) provided by prominent universities in Malaysia.

1| BSc (Hons) In Computer Science With A Specialism In Data Analytics By Asia Pacific University Of Technology & Innovation

Course Content: The first year is packed with modules like systems analysis and design, mathematical concepts for computing, introduction to networking and other modules. It provides a foundation in the area of software development. A sound grasp of mathematical techniques and skills in algorithmic thinking are important prerequisites for your second and third-year studies in this area. Computer architecture, operating systems, networks, databases, data analytics, behavioural science, and marketing analytics are the area of the platform or underlying analytics systems. Introduction to management introduces the third key area, understanding personal and organisational development, along with independent learning and teamworking skills.

Duration: 3 years

Course Fees: RM 85,800 (For Malaysian Students) and RM 86,400 (For International Students)

2| Bachelor of Computer Science (Hons.) Specialising in Data Science By Multimedia University

About Programme: This programme provides focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.

Course Content: Based on the specialisation, students can opt for two subjects. The subjects for data science specialisation module includes data management, visual information processing, and social media computing while the elective subjects include system analysis and design, artificial intelligence, introduction to data science, data mining, and few others.

Course Fees: RM 59,040( Total Tuition Fee )

3| Statistical Data Science Under-Graduate Degree Programme By Heriot-Watt University

About Programme: This programme provides a blend of both theoretical and applied elements of modern statistics, and aims to give students the training in modelling, analysing and interpreting real data that is required in the economy, industry, and research. The final two years focus on data science along with the specialist topic of statistical modelling and advanced courses in mathematics.

Course Content: The course for year one includes multivariable calculus and real analysis A & B, linear algebra, probability, and statistics A & B, among other modules. The second-year includes stochastic processes, Bayesian inference and computational methods, ordinary differential equations and the last year includes subjects on optimization, statistical machine learning, time series analysis, statistical computing, and few others.

Course Fees: RM 43,920 ( Local students ) and RM49,920* ( International Students )

4| MSc In Data Science And Business Analytics By Asia Pacific University Of Technology & Innovation (APU)

About Programme: The programme is designed to provide students with knowledge and skills in data science, big data analytics, and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques and to enhance data science knowledge and critical interpretation skills. They will understand the impact of data science and be able to identify and implement specific tools, and techniques to enhance the analysis of data.

Course Content: Graduates will be equipped with knowledge, skills, and experience in three major dimensions: Strategic and Commercial application, “hands-on” ICT skills and Statistics & Analytics. The core modules include big data analytics and technologies, behavioural science, social media and marketing analysis, business intelligence systems, applied machine learning, data analytical programming, multivariate methods for data analysis, advanced business analytics and visualisation.

Duration: 12 months (Full-Time) and 2.5-3 years (Part-Time)

Course Fees: RM 36,800 ( Malaysian Student) and RM 42,400 (International Students)

5| Master in Business Intelligence and Analytics (MBIA) By International Islamic University (IIUM)

About Programme: This programme is offered in response to the emerging trends in advanced applications of ICT technologies to enhance intelligence and analytical capabilities in business decision-making. The program will help you understand how to apply Big Data analytical methods and strategies for advanced data analysis and visualization, implement quantitative modeling and data analysis techniques to business problems, communicate findings and effectively present results using data visualization techniques and use of advanced statistical tools and data programming techniques to solve practical problems in data analysis.

Course Content: The programme requires 40 credits. The courses for year one include big data across verticals and domains, data quality, unstructured data analytics, Islamic world’s view on IT and Society, data warehousing and modelling, tools for data science, visualization for decision making, data security and governance. The year two courses include datathon and bootcamp.

Duration: 2 years (Full-Time) and 3 years (Part-time)

Course Fees: RM 18,120 (Local Students) and RM 28,400 (International Students)

6| Master of Data Science Coursework By University Of Malaya

About Programme: This university is situated in the southwest of Kuala Lumpur and it allows full-time mode classes for the students who wish to strengthen their career prospects in data science to acquire in-depth knowledge and skills to analyse, visualize and transform vast quantities of data in different fields into valuable insights.

Course Content: The credits of the course counts as Core Course (24 Credits), Elective Course (8 Credits) and Data Science Research Project (10 Credits). The core courses include research methodology, principles of data science, data analytics, programming for data science, data mining, machine learning for data science and big data management. The elective courses include parallel and distributed computing, big data applications and analytics, network and security and numerical optimization. However, it is to be noted that not all courses will be offered every semester, the actual courses offered will depend on the availability of the staff and the number of students registering.

Duration: 6 semesters

Course Fees: The tuition fee in Malaysian ringgits (RM) is RM 18,897.00 ( For Citizens ) and RM 33,270 ( For Non-Citizens )

7| Master Of Data Science By UKM (National University Of Malaysia)

Course Content: This is a 40 credit programme which includes courses such as fundamental of data science, statistical methods for data analytics, unstructured data analytics, information modelling & databases, big data analytics and management, machine learning for data science., decision support & business intelligence.

Duration: 1-2 years(Full-Time) and 2-4 years (Part-Time)

Course Fees: RM 24,000 (Local Students) and RM 32,000 (International Students)

8| Master of Science (Data Science and Analytics) By Universiti Sains Malaysia

About Programme: The programme aims to produce specialists in the field of Big Data Analytics capable who can make data-driven decisions and apply advanced big data analysis across many domains.  

Course Content: The course includes principles and practices of data science and analytics, big data storage and management, big data storage, and management, enabling technologies and infrastructures for data science, data visualisation and visual analytics, business intelligence and decision analytics, predictive business analytics, text and speech analytics, and few others.

Duration: Min 3 semesters / Max 6 semesters (Full-Time)

Course Fees: RM 12,220.00 (Local students) and USD 5,157.50 (International Students).

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PhD in Data Science (PhD) University Putra Malaysia Seri Kembangan

Program details, minimum cost of living, requirements.

About University Putra Malaysia:

The Universiti Putra Malaysia was first opened in 1931 as an agricultural college. As a multidisciplinary university with a long history of 89 years, Universiti Putra Malaysia is world-renowned for its outstanding educational and academic disciplines and courses, which have made great contributions to its knowledge and develop qualified human capital since 1931.

About Malaysia:

The Island is next to other booming economies in the region Thailand, Indonesia, and Philippines making networking and access to different tourist destinations and work markets easier. There are multiple airlines flying directly to different airports on the Island, the region and beyond. Studying and living in Malaysia offers a beautiful natural scenery i.e. beaches, mountain tops, and serene evergreen forests.

About the city:

Seri Kembangan is a township formerly known as Serdang New Village. Located within the borders of Selangor, it is fairly located at only approximately 20 minutes away from the city centre of Kuala Lumpur.  Seri Kembangan is known for its good and varied street food, incorporating Chinese, Malay, Indian and other races' influences into its literal melting pot.