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Master of Science (Data Science and Analytics)

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Lincoln University College

Master of Science (Data Science and Analytics)

university icon
Lincoln University College

Master of Science (Data Science and Analytics)

Qualification
Master's Degree
Duration
1.6 years
Intake
MarMarJulJulNovNov
English Requirement
IELTS 5.5
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
Yearly Tuition fees
Year Fee
1st YearMYR 36,000
Other Fees
Description Fee
Deposit (Refundable)MYR 1,800
Registration & Administrative FeeMYR 4,500
Visa and Insurance (EMGS) MYR 2,700

Would you like to apply to
Lincoln University College ?

The Master of Science in Data Science and Analytics program at Lincoln University College Malaysia offers advanced instruction in data analysis, machine learning, and statistical modeling. Graduates have the skills and ability to evaluate complicated data sets and gain significant insights for decision-making across sectors.

Entry Requirements

  •  A Bachelor’s Degree in Computing or related fields with a minimum CGPA of 2.75 or equivalent, as accepted by the Lincoln University College Senate

For other qualifications and certificates (e.g.,related fields, Other qualifications equivalent to a Bachelor’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, Qualitative Analyst

Principles and Practices of Data Science and Analytics

Applied Statistics

Data Analytical Programming

Machine Learning for Data Science

Data Visualization and Visual Analytics

Big Data Analytics

Research Methodology for Capstone Project

Elective Groups (Students need to choose any one group of 3 modules) for specializations on Business Analytics / Data Engineering

Elective Group: Business Analytics

Business Intelligence and Decision Analytics

Social Media Analytics

Predictive Analytics and Business Forecasting

Elective Group: Data Engineering

Deep Learning

Natural Language Processing

Cloud Infrastructure

Capstone Project

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