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Doctor of Philosophy in Data Science

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Lincoln University College

Doctor of Philosophy in Data Science

university icon
Lincoln University College

Doctor of Philosophy in Data Science

Qualification
Doctoral Degree (PhD)
Duration
3 years
Intake
MayMayJulJulNovNov
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
1st YearMYR 16,500
2nd YearMYR 16,500
3rd YearMYR 16,500
Other Fees
Description Fee
Deposit (Refundable)MYR 1,800
Registration & Administrative FeeMYR 4,500
Visa and Insurance (EMGS) MYR 2,700

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Lincoln University College ?

The Doctor of Philosophy (Ph.D.) in Data Science degree at Lincoln University College Malaysia teaches advanced research methods and applications. Graduates perform unique research in fields such as machine learning, data mining, and big data analytics, helping to enhance knowledge in data science and its applications across sectors. This program prepares graduates for leadership positions in academia, research institutions, or the private sector, where they can drive innovation and make major contributions to addressing difficult data-driven issues.

Entry Requirements

  • 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.

For other qualifications and certificates (e.g.,,Other qualifications equivalent to a Master’s degree , etc..) please contact our educational consultants or submit your application for Admission assessment

Career Opportunities:

Data Scientist, Big Data Analyst, Machine Learning Engineer, Mining Analyst, Data Modeler, Data Architect/Engineer

Research Methodology

Data Analysis and Thesis Writing

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
 

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