Bachelor of Science (Honours) in Computer Science with a specialism in Data Analytics

Program Overview

This three-year Bachelor of Science (Honours) in Computer Science with a specialism in Data Analytics equips students with the latest technologies in line with the Industrial Revolution 4.0. The program covers fundamental IT skills, programming, mathematical and algorithmic foundations, and specialized modules in data analytics, preparing graduates for careers in software development, data analysis, and business intelligence. Students also gain practical experience through a 16-week internship.

Program Outline

Outline:

This three-year Bachelor of Science (Honours) in Computer Science with a specialism in Data Analytics degree is designed to provide students with an edge with the latest technologies that are in line with the Industrial Revolution 4.0.

Degree Level 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, mathematical and algorithmic skills. Some specialised modules will provide them basic knowledge of underlying computer systems such as computer architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

COMMON MODULES

• Introduction to Networking
• Systems Software and Computing Concepts
• Introduction to Databases
• Python Programming
• Systems Analysis and Design
• Integrated Computer Systems
• Fundamental of Entrepreneurship

SPECIALISED MODULES

• Digital Thinking and Innovation
• Mathematical Concepts for Computing
• Introduction to Artificial Intelligence
• Introduction to C Programming

Degree Level 2

A broader range of skills will be learnt, in which students will gain better understanding of designing and implementing new software, and solving new computing problems through theoretical and algorithmnic foundations. They will gain solid understanding of platform technology and data analytics through modules in application development and knowledge discovery techniques. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

COMMON MODULES

• Innovation Process
• Research Methods for Computing and Technology

SPECIALISED MODULES

• Systems and Network Administration
• System Development Methods
• Object Oriented Development with Java
• Web Applications
• Concurrent Programming
• Computer Systems Low Level Technique
• Data Structures
• Probability and Statistical Modelling
• Data Management
• Data Mining and Predictive Modelling

INTERNSHIP (16 weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

Degree Level 3

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of computer science and to refine their personal and professional development. Students will move further into the focus on advanced analytics through business analytics and intelligence modules. A final year project requires them to investigate and develop a solution for a real-world problem – they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

COMMON MODULES

• Venture Building
• Project Management

SPECIALISED MODULES

• Investigations in Data Analytics
• Algorithmics
• User Experience
• Advanced Database Systems
• Text Analytics and Sentiment Analysis
• Behavioural Science and Marketing Analytics
• Database Security
• Optimization and Deep Learning
• Project in Data Analytics

MQA COMPULSORY SUBJECTS

• Appreciation of Ethics and Civilisation (M’sian Students)
• Malay Communication Language (Int’l Students)
• Philosophy and Current Issues
• Workplace Professional Skills

Careers:

Graduates will be equipped with the knowledge, skills and experience in three major dimensions: Strategic and Commercial application, “hands-on” ICT skills and Statistics & Analytics.

CAREER OPTIONS

• Software Tool Developer
• Data Analyst
• Data Scientist
• Data Wrangler/Munger/Miner
• Chief Technology Officer (CTO)
• Data Analytics Manager
• Business Process Engineer
• Business Analyst Manager
• Data Innovation Manager
• Business Intelligence Developer
• IT Risk Analyst
• Advance Analytics Professional
• Data Engineer
• Business Intelligence Analyst
• Machine Learning Scientist
• Business Intelligence Solutions Architect
• Analytics Manager
• Data Visualization Developer