Data Science (Coursework) University of Malaya

Overview

The University of Malaya is renowned for its strong academic reputation and commitment to research excellence. It consistently ranks among the top universities in Malaysia and is recognised internationally for its quality of education. The university's partnerships with various industries and organisations enhance the learning experience, providing students with access to cutting-edge facilities and resources. Additionally, the programme is designed to meet the growing demand for data science professionals, ensuring that graduates are well-prepared for the workforce.

The tuition fees for the Master in Data Science (Coursework) are structured as follows:

• National Fee: MYR 23,400 per year
• International Fee: MYR 41,700 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The course structure comprises a total of 42 credit hours, divided into core courses, elective courses, and a research project:

• Core Courses (20 Credits):
  • Research Methodology
  • Principles of Data Science
  • Data Analytics
  • Programming for Data Science
  • Applied Machine Learning
  • Big Data Management
• Elective Courses (12 Credits): Students must select three electives from the following:
  • Data Mining
  • Parallel and Distributed Computing
  • Big Data Applications & Analytics
  • Network and Security
  • Statistics for Data Science
  • Natural Language Processing
• Data Science Research Project (10 Credits)

Note: Course availability may vary based on staff and student enrolment.

The demand for data science professionals is rapidly increasing across various sectors, including technology, finance, healthcare, and marketing. Graduates of this programme will be equipped with the necessary skills to thrive in these industries, making them valuable assets to potential employers.

Graduates of the Master in Data Science (Coursework) can pursue various career paths, including:

• Data Scientist
• Big Data Analyst
• Machine Learning Engineer
• Webometrician
• Mining Analyst
• Data Modeler
• Data Architect/Engineer
• Qualitative Analyst

Alumni have successfully secured positions in leading companies and organisations, reflecting the programme's effectiveness in preparing students for the job market.