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Doctor of Philosophy in Data Science
Course overview
| Qualification | Doctoral Degree (PhD) |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | March, July, November |
| Tuition (Local students) | S$ 9,336 |
| Tuition (Foreign students) | S$ 12,004 |
About
The Doctor of Philosophy in Data Science program offers a comprehensive exploration of key concepts and tools in areas such as Data Analytics, Artificial Intelligence, and Machine Learning. It equips students with the knowledge and skills necessary to conduct advanced research and discovery in the field of data science. The program aims to uncover insights and drive innovation from complex data sets, fostering a deep understanding of data-driven scientific methodologies and processes. Graduates of this program will be proficient in extracting meaningful insights from various forms of data, structured or unstructured, using a data science approach.
Successful completion of the PhD program requires candidates to publish a minimum of four research articles in Scopus indexed journals, with affiliation to Lincoln University College.
Admissions
Intakes
Fees
Tuition
- S$ 9,336
- Local students
- S$ 12,004
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- S$ 241
- Foreign students
Student Visa
- S$ 725
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
i. A Master’s Degree (Level 7 Malaysian Qualifications Framework, MQF) in the Computer Science or related field as accepted by the Lincoln University College Senate; or
ii. Other qualifications equivalent to a Master’s Degree (Level 7, MQF) recognized by the Government of Malaysia;
iii. Candidates without a related qualification in the field/s or working experience in the relevant fields must undergo appropriate prerequisite courses determined by Lincoln University College.
iv. A Bachelor’s Degree (Level 6, MQF) with the following conditions:
a. A Bachelor’s Degree (Level 6, MQF) in the field or related fields with first-class (CGPA of 3.67 or higher) or its equivalent from an academic or Technical and Vocational Education and Training (TVET) programme.
b. Undergo internal assessment; and
c. Any other requirements of the Lincoln University College.
English Requirements :
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. If a student does not meet this requirement, HEPS must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.
Curriculum
- PHDDS 101 - Research Methodology
- PHDDS 102 - Data Analysis and Thesis Writing
- PHDDS 103 - Research Work (Any one of the following specialties):
- Data Mining
- Knowledge Management
- Data Analytics
- Business Intelligence
- Artificial Intelligence
- Data Visualization
- Big Data Integration
- Statistics
- Extensive Computations
- Complex Modeling
- Simulation
- Optimization and Visualization