Master of Science (Data Science and Analytics) at Lincoln University College

Description

Master of Science (Data Science and Analytics) programme will equip graduates with the core Data Science and Analytics knowledge required to work with large and complex data sets in multidisciplinary fields. The core modules of the programme include Data Mining, Data Analytical Programming, Machine Learning for Data Science, Big Data Storage and Management and Data Visualisation and Visual Analytics. Graduates will have strong capabilities to integrate the specialised filed requirements with Data Science and Analytics to improve and transform the Data Science process within an organisation.

Intake Month(s)

March, July, November

Course Structure

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
Capstone Project

Choose one
Business Analytics- (Business Intelligence and Decision Analytics
Social Media Analytics
Predictive Analytics and Business Forecasting)
Data Engineering- (Deep Learning
Natural Language Processing
Cloud Infrastructure)

Entry Requirement

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
or a Bachelor’s Degree in Computing or related fields with a CGPA of 2.50–2.74 may be accepted, subject to a rigorous internal assessment
or a Bachelor’s Degree in Computing or related fields with a CGPA below 2.50 may be accepted, subject to a minimum of five years of relevant working experience.

Other equivalent qualifications recognized by the Malaysian Government.

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