Doctor of Philosophy in Data Science (By Research)
(N/0613/8/0002) (08/29) (MQA/PA15774)
Programme Overview
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.
Subject Highlights
| Sl.No. | MQA Subject Code | Subject Name | Credits |
|---|---|---|---|
| 1. | PHDDS 101 | Research Methodology | NA |
| 2. | PHDDS 102 | Data Analysis and Thesis Writing | NA |
| 3. | PHDDS 103 | Research Work (Any one of the following specialties) | NA |
| · Data Mining | |||
| · Knowledge Management | |||
| · Data Analytics | |||
| · Business Intelligence | |||
| · Artificial Intelligence | |||
| · Data Visualization | |||
| · Big Data Integration | |||
| · Statistics | |||
| · Extensive Computations | |||
| · Complex Modeling | |||
| · Simulation | |||
| · Optimization and Visualization |
Entry Requirements
Entry Requirements
i Masters (Level 7 Malaysian Qualifications Framework, MQF) or equivalent AND candidates must have completed at least one of their previous studies (Bachelor/Masters (Level 6 or Level 7 MQF)) in Computing or related to Computing.
Note: There is no direct entry from Bachelor’s degree level (MQF Level 6) to Doctorate (MQF Level 8) by research. Candidates with a Bachelor’s degree (MQF Level 6) who are registered for a Master’s program (MQF Level 7), may apply to change their study registration to a Doctoral program (MQF Level 8) by research subject to the following conditions:
a. Application for exchange is within one year of registering for the Master’s program (Level 7 MQF) for full-time candidates and two years for part-time candidates;
b. Have demonstrated competence and ability in conducting research at the Doctoral level (Level 8 MQF) through thorough internal evaluation by the HEP; and
c. Approval from the PPT Senate.
ii PPT can accept excellent Bachelor’s graduates (MQF Level 6) in the field of Computer Science or related to Computer Science or related fields for direct admission to Doctoral program (by research) Level 8 MQF with the following conditions:
a. Students obtain a first class Bachelor’s qualification (MQF Level 6) or equivalent; or
b. Obtain a Cumulative Grade Point Average (CGPA) of at least 3.67 or equivalent from an academic program or Technical and Vocational Education and Training (TVET) program; and
c. Thorough internal evaluation by PPT; and
d. Received approval from the PPT senate and was accepted as a candidate for the Doctoral program (Level 8 MQF). Students need to show appropriate progress during the candidature period.
Students should be informed that students will not be awarded with a Master’s qualification (MQF Level 7) as an exit award if they do not meet the achievements at the Doctorate level (MQF Level 8).
International student:
Have evidence of good oral and written English proficiency. For example scale 6.0 for /international English Language Testing System (IELTS)/equivalent.
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
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.
FAQ
About The Program
What is the Doctor of Philosophy (PhD) in Data Science program about?
The program offers an in-depth exploration of Data Science, focusing on research methodologies and advanced analytical techniques. It encompasses areas such as data analytics, artificial intelligence, machine learning, and big data, aiming to equip students with the skills necessary to conduct independent research and contribute to the field of Data Science.
What is the focus of the Doctor of Philosophy (PhD) in Data Science?
The focus is on developing research professionals who are proficient in extracting meaningful insights from complex data sets. The program emphasizes the application of Data Science principles to facilitate innovation and discovery across various domains.
How does the Doctor of Philosophy (PhD) in Data Science prepare students for international careers?
By providing comprehensive training in Data Science research and methodologies, the program prepares graduates for roles in academia, research institutions, and industries worldwide. The curriculum aligns with global standards, ensuring that students are equipped to tackle data-driven challenges on an international scale.
What career support is available for Doctor of Philosophy (PhD) in Data Science students?
Lincoln University College offers a supportive environment aimed at helping students build industry contacts and gain real-world experience.
What kind of experience do faculty members bring to the Doctor of Philosophy (PhD) in Data Science program?
The program is part of the School of AI Computing & Multimedia, which is committed to blending technology with real-world applications. Faculty members are dedicated to equipping students with the necessary skills and knowledge to excel in technology-driven careers.
Who should consider the Doctor of Philosophy (PhD) in Data Science program?
Individuals with a strong background in computing or related fields who are interested in conducting advanced research in Data Science should consider this program. It is ideal for those aiming to pursue careers in academia, research, or specialized roles in the Data Science industry.
What are the dates for the Doctor of Philosophy (PhD) in Data Science intake?
March, July, and November.
Admission
What are the minimum academic qualifications required for admission into the Doctor of Philosophy (PhD) in Data Science program?
Applicants must have a Master’s degree (Level 7 Malaysian Qualifications Framework, MQF) or equivalent in computing or a related field.
Is work experience required for admission into the Doctor of Philosophy (PhD) in Data Science program?
Preferably candidates should have 2 to 5 years of professional work experience, in the computing filed.
What documents are required for the application process?
The typical documents required for application includes:
• Academic transcripts from all institutions attended.
• Updated resume or CV outlining work experience, academic qualifications, and professional achievements.
• Proof of English proficiency (for non-native English speakers).
Do I need to attend an interview as part of the admission process in the Doctor of Philosophy (PhD) in Data Science program?
The admission process for Doctor of Philosophy (PhD) in Data Science includes an interview, depending on the applicant’s qualifications and the discretion of the admissions committee.
Can I apply if I am currently finishing my Master’s degree?
Yes, applicants who are in the final semester of their Master’s studies can apply, provided they meet the admission requirements upon completion.
Is there a minimum age requirement for the Doctor of Philosophy (PhD) in Data Science program?
There is no specified minimum age requirement; however, applicants must meet the academic qualifications for admission.
What is the typical profile of a successful candidate for the Doctor of Philosophy (PhD) in Data Science program?
Successful candidates are likely to have a strong academic background in computing or related fields, a keen interest in Data Science research, and the ability to undertake independent study.
Program Structure and Duration
How long does Doctor of Philosophy (PhD) in Data Science program take to complete?
The program duration is typically 3 years for full-time students and 4 to 8 years for part-time students.
What is the graduation minimum credit requirement for Doctor of Philosophy (PhD) in Data Science program?
The Doctor of Philosophy (PhD) in Data Science program is a complete research mode program, hence no credit values are provided.
Can you outline the structure of the Doctor of Philosophy (PhD) in Data Science program?
The Doctor of Philosophy (PhD) in Data Science is fully research-based, which means there are no traditional coursework or lecture modules like in taught programs. Instead, the structure involves stages of supervised research, progress evaluation, and thesis submission:
Program Components:
1. Research Proposal Development
• Students begin by preparing and defending a detailed research proposal.
2. Supervised Research Work
• Independent research is conducted under the guidance of academic supervisors.
3. Progress Reports
• Students submit and present progress updates periodically (usually every 6 months).
4. Publications
• Students are encouraged to publish in indexed journals or present at conferences.
5. Thesis Preparation
• Compilation of original research work into a doctoral thesis.
6. Viva Voce (Oral Defense)
• Final stage where the candidate defends their thesis before an academic panel.
Can you provide details on the course timetable structure for the Doctor of Philosophy (PhD) in Data Science program?
Since the program is by research, there is no fixed weekly timetable. However, the timeline and milestones are structured as follows:
Typical Duration:
• Full-Time: 3 to 5 years
• Part-Time: 4 to 6 years
English Proficiency
What is the English proficiency requirement for the Doctor of Philosophy (PhD) in Data Science program?
International students must have proof of good proficiency in verbal and written English. For example, International English Language Testing System (IELTS) score of 6.0 or its equivalent.
Can I take an English preparatory course instead?
Yes, the Intensive English Program is available for students who don’t meet the requirement. Successful completion allows for admission to degrees.
How long are test scores valid?
Test scores are valid for two years from the test date.
When should I submit my test scores?
Submit them along with your application or by the deadline outlined by LUC admission office.
Accreditation
Is the Doctor of Philosophy (PhD) in Data Science degree accredited by the Malaysian Qualifications Agency (MQA)?
Yes, the Doctor of Philosophy in Data Science is accredited by MQA and the Ministry of Education, Malaysia. Reference Number: MQA/PA14151.
Does the Accreditation Impact Global Employability?
Yes, accreditation significantly impacts global employability. Accreditation ensures that the Doctor of Philosophy in Data Science (By Research) program meets international standards of quality and rigor. Employers worldwide often prefer graduates from accredited programs as they know the education received is of a high standard. Additionally, accredited programs provide students with a competitive edge in the global job market, increasing their chances of securing roles in multinational companies and enhancing their career prospects across various industries and countries.
Does the Program meet Industry Standards?
Yes, the Doctor of Philosophy in Data Science (By Research) program is designed to meet current industry standards. The curriculum is regularly updated to align with the latest trends and demands in global IT practices, ensuring that students gain relevant skills and knowledge. This ensures that graduates are well-prepared to handle real-world challenges in global markets and are equipped with the competencies sought by employers worldwide.
Does the Accreditation Support Further Education and Certifications?
Yes, accreditation from MQA and Malaysia Ministry of Higher Education (MOHE) strongly supports further education and certifications. Graduates from accredited programs are more likely to be accepted into advanced academic pursuits like post-doctoral programs.
How Often is the Accreditation Reviewed or Updated?
• The accreditation for the Doctor of Philosophy in Strategic Management (By Research) by the Malaysian Qualifications Agency (MQA) is typically reviewed and updated every 3 to 5 years.
• This regular review ensures that the program maintains high academic standards and stays current with industry developments and best practices.
• The MQA periodically assesses the curriculum, teaching methods, and overall quality of the program to ensure it continues to meet national and international educational standards.
• This helps to keep the program relevant, ensuring that students are equipped with up-to-date skills and knowledge for the global business environment.
Career Prospects
Once I complete my Doctor of Philosophy (PhD) in Data Science what are the wide array of career opportunities in both leadership and specialized roles within organizations I will be exposed to?
Graduates can pursue high-level roles such as Chief Data Officer, Data Science Director, Senior Research Scientist, Machine Learning Engineer, and roles in academia. They may also lead data strategy in multinational companies, research labs, government think tanks, and consultancy firms.
How does the Doctor of Philosophy (PhD) in Data Science program at Lincoln University College foster entrepreneurship among its students?
The program encourages innovative thinking and independent research, allowing students to develop data-driven solutions to real-world problems. Students are mentored to commercialize their research or establish startups in AI, analytics, or tech-based ventures.
How does the Doctor of Philosophy (PhD) in Data Science program at Lincoln University College prepare students for careers in consulting?
Students gain advanced analytical, modeling, and problem-solving skills that are crucial for data consulting. Through their research, they learn to assess complex datasets, deliver actionable insights, and provide strategic advice to clients across sectors.
What international opportunities does the Doctor of Philosophy (PhD) in Data Science program at Lincoln University College offer to its students?
Graduates are equipped to work with global institutions, participate in international research collaborations, and present at international conferences. The MQA-accredited qualification also allows for postdoctoral opportunities abroad.
How does the Doctor of Philosophy (PhD) in Data Science program at Lincoln University College prepare students for careers in non-profit and public sector roles?
The program enables students to apply Data Science for societal impact, including public health, education, and policy research. Students can work with NGOs, government agencies, or international bodies in research and data-driven decision-making.
How does the Doctor of Philosophy (PhD) in Data Science at Lincoln University College prepare students for teaching and academic roles?
The research-focused curriculum and emphasis on scholarly publications prepare students for academic careers. Graduates may become university faculty members, curriculum developers, or research supervisors.
What is the expected salary range for graduates of Doctor of Philosophy (PhD) in Data Science program?
Salaries vary based on experience and location. In Malaysia: RM 6,000–15,000/month. Internationally: USD 60,000–120,000/year. Roles in leadership, consulting, or academia may exceed these ranges.
Tuition Fee and Scholarship
What are the tuition fees for local and international students?
For details about the tuition fees, kindly email admission@lincoln.edu.my or imd@lincoln.edu.my or finance@lincoln.edu.my
Am I eligible for a scholarship, and if so, what amount of scholarship am I eligible for?
• Eligibility for a scholarship, as well as the amount, is subject to Lincoln University management approval.
• It’s recommended to consult with the marketing office for more detailed information on potential scholarship opportunities. Kindly email admission@lincoln.edu.my or imd@lincoln.edu.my or finance@lincoln.edu.my
Is this programme eligible for MARA or PTPTN funding?
Yes, for details, kindly email admission@lincoln.edu.my or imd@lincoln.edu.my or finance@lincoln.edu.my
Alumni Network
Can I access the alumni network?
Yes, as a graduate of the Doctor of Philosophy (PhD) in Data Science program at Lincoln University College, you can access the university’s active alumni network. Alumni engagement is encouraged through platforms such as LinkedIn groups, virtual and in-person reunions, and LUC-hosted events.
What are the alumni doing now?
As the program is new, there are no alumni yet from the Doctor of Philosophy (PhD) in Data Science program. Future graduates are expected to pursue careers in academia, research, and high-level Data Science roles.
What industries do graduates of Doctor of Philosophy (PhD) in Data Science program typically work in?
Although there are no alumni yet, the program is designed to prepare students for roles in industries such as technology, finance, education, healthcare, government, and consulting—where advanced Data Science skills are in demand.
Are there opportunities to stay involved with the program after graduation?
Yes. Once the first cohort graduates, they will be encouraged to stay engaged through research collaborations, academic events, guest lectures, and mentoring opportunities.