色狼社区

Course Overview

This programme is designed to train students in both computer science and data science, which prepares them well for data professionals or data scientist career pathway. Graduates of this programme are highly demanded in the increasingly data-driven world where their main role is to make sense of big data to improve business processes, optimise resources, increase profits, increase customer satisfaction, personalised experience, automation, and so on. 

Artificial Intelligence, Machine Learning, Natural Language Processing, Data Visualisation, Data Warehouse Technology, Cloud Computing are some of the specialisation courses covered in this programme in addition to core courses of Computer Science, for example, Programming, Database Management, Software Engineering and Computer Networks. 

Students will have an opportunity to work with the industry through their 6 months industrial training and carry out real-life projects on data science and computer science. All such training will add value to their qualification and increase their employment opportunities. Upon completion of this program, the students will also obtain SAS Joint Certificate specialised in Data Science and Machine Learning. 

Curriculum

• Problem Solving and Programming
• Database Management
• Introduction to Computer Security
• Probability and Statistics
• System Analysis and Design
• Discrete Mathematics
• Fundamentals of Computer Networks
• Computer Organisation and Architecture
• Object-Oriented Programming
• Operating Systems
• Statistics for Data Science
• Software Engineering
• Data Science
• Data Visualisation
• Data Engineering
• Machine Learning
• Data Structures and Algorithms
• Artificial Intelligence
• Project I
• Project II
• Data Warehouse Technology
• Industrial Training (24 weeks)

Elective 1 (Choose 1):

• Algebra and Calculus
• Advanced Discrete Mathematics

Elective 2 (Choose 1):

• Natural Language Processing
• Web-Based Integrated Systems

Elective 3 (Choose 1):

• Internet of Things
• Graphics Programming

Elective 4 (Choose 1):

• Image Processing
• Blockchain Application Development

Elective 5 (Choose 1):

• Advanced Database Management
• Mobile Application Development

Elective 6 (Choose 1):

• Cloud Computing
• Distributed Systems and Parallel Computing

Free Electives (Choose 1):

• Japanese Language I
• French Language I
• Korean Language I

Language, Mata Pelajaran Pengajian Umum (MPU) and Co-curricular Courses:

• English for Tertiary Studies
• Falsafah dan Isu Semasa
• Academic English
• Penghayatan Etika dan Peradaban
• English for Career Preparation
• Entrepreneurship/ Bahasa Kebangsaan A
• Integrity and Anti Corruption
• Co-curricular

Entry Requirements

Career Prospects

• Data Scientists
• Data Engineers
• Data Analysts
• Data Modelling Engineers
• Software Developers
• Mobile Application Developers
• Computer Science Researchers
• Machine Learning Engineers