Doctor of Philosophy (PhD) in Data Science (by Research)
PhD Degree
Free consultation for this program
We are ready to help you with your difficulties and processing.
Duration
3 years
Study Format
On Campus
No. of Student Mentors
63
Total Tuition Fees
59,796 RM (Approx)
Free consultation for this program
We are ready to help you with your difficulties and processing.
Duration
3 years
Study Format
On Campus
No. of Student Mentors
63
Total Tuition Fees
59,796 RM (Approx)
Program
Key information
University
Program structure
Tuition fees
Admissions
Possible Career Pathway
Student's testimonials
F&Qs
ABOUT THIS PROGRAM
The Doctor of Philosophy in Data Science is a full research programme, which enables students to focus
on specific areas of research while placing a strong emphasis on self- directed work. This will impart the students on the knowledge to become experts in the field and equip them with management skills, positive personal qualities and self-motivation. This programme aims to develop data science experts and leaders with positive attitudes and values who will become a catalyst for the nation’s aspiration towards an innovative community and using science and technology as a tool for sustainable management and development.
Highlights
Data science is a field that works with a large amount of data and uses cutting-edge tools and techniques to uncover hidden patterns which aids the business processes specifically in the decision-making process.
Data science leverages on advanced statistical predictive analyses and machine learning. Data Scientist has been ranked among the best jobs since 2016.
KEY INFORMATION
Degree
PhD
Language
English
Location
Malaysia
Intake Start Date
Jan 2026
Study Format
On Campus
Duration
3 years
Program Highlight
Standard Program
Total Semester
9
Total Tuition Fees
59,796 RM (Approx) / in total
Application deadline
Oct 2025
ABOUT UNIVERSITY
Asia Ranking 2025
EduRank Ranking 1488
Programs
140
Students
80,000
Why INTI?
- At INTI, we believe in an education that will empower you for life.
- Gain the best quality education with world class facilities and resources, regardless of your field of studies.
- Achieve an added edge while expanding your global perspectives through our collaborations with highly acclaimed international universities.
- Experience quality education that prepares you to face the challenges in the global market.
The Way We Teach
Our innovative and collaborative approach through a holistic teaching and learning management system and strong collaboration with global industry leaders prepare you for the real world. Using the Canvas Learning System students can experience the following benefits:
Transparent, real-time collaborative platformto ensure every student contributes to team success.
Equipping students with 21st century skill sets such as critical thinking, creativity, collaboration and communication.
International Partnerships
Take your learning experience to a whole new level by studying with the INTI Edge. Our collaboration with highly acclaimed universities around the world enables your to gain an added edge of qualification while expanding your global perspectives.
Going beyond paper qualification, our internationally recognised education will enrich you with the right skills and attributes to excel at whatever you do and wherever you go.
At INTI, we have taken the lead to champion a whole new learning experience with an International, Innovative and Individualised kind of education.
Individual Development
Studying at INTI gives you an opportunity to develop and enhance your academic and personal development.
Every year more and more graduates join the workforce. Among a sea of graduates, there’s only one decisive way to stand out from the crowd and to get the job that you want – to demonstrate outstanding 21st century skills and gain work experience even before you graduate.
From our hands-on learning experience to our partnerships with industry leaders like LinkedIn, Google My Business, Microsoft and IBM our programmes truly enhance your employability.
Our Belief
Education must change to meet the needs of tomorrow’s world.
Our Vision
Be the champion of change, reinventing education for the dynamic leaders of the future.
Our Mission
We will provide the most international, innovative and individualised education.
Our core values
- Student-centric
- Trustworthy
- Accountable
- Respectful
- Spirited
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PROGRAM STRUCTURE
- Research Methodology
- Proposal Defence
- Research Thesis Supervision
- Students are required to produce a minimum 40,000-word thesis for fulfilment of the graduation requirement
- Must publish a minimum of one paper in an international journal
- Viva Voce in the final year
TUITION FEES
Tuition fees
59,796 RM (Approx) / in total
Application fees
3,120 RM
Application fee cannot be refunded.
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ADMISSIONS PROCESS
A Master’s Degree (Level 7, MQF) in Computing or related fields as accepted by the University 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 the university; 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 a thorough rigorous assessment as determined by the university 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) in Computing or related fields recognised by the Government of Malaysia as equivalent to the above requirement.
Meet any of one the following English language requirements:
A Master’s Degree conducted in English*; or
Credit 6 in MCE / SPM / GCE level; or
IELTS score of 6.0; or
Equivalent score from any of the above obtained at undergraduate level at a recognised university*.
* A copy of the document from the university is required during submission as proof of English proficiency
Possible Career Pathway
Data Analyst, Business Analyst, Project Manager, System Engineer, Enterprise Manager, Data Scientist, Machine Learning Engineer, Machine Learning Scientist, Applications Architect, Enterprise Architect, Data Architect, Infrastructure Architect, Data Engineer, Compliance Associate, Business Research Consultant and more.
STUDENT's TESTIMONIALS
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