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

Key Modules

• 1Introduction to Networking
• 2Systems Software and Computing Concepts
• 3Introduction to Databases
• 4Digital Thinking and Innovation
• 5Python Programming
• 6Systems Analysis and Design
• 7Integrated Computer Systems
• 8Fundamental of Entrepreneurship
• 9Mathematical Concepts for Computing
• 10Introduction to Artificial Intelligence
• 11Introduction to C Programming
• 12Innovation Process
• 13Research Methods for Computing and Technology
• 14Systems and Network Administration
• 15System Development Methods
• 16Object Oriented Development with Java
• 17Web Applications
• 18Concurrent Programming
• 19Computer Systems Low Level Technique
• 20Data Structures
• 21Probability and Statistical Modelling
• 22Data Management
• 23Data Mining and Predictive Modelling
• 24Project Management
• 25Venture Building
• 26Investigations in Data Analytics
• 27Algorithmics
• 28User Experience
• 29Advanced Database Systems
• 30Text Analytics and Sentiment Analysis
• 31Behavioural Science and Marketing Analytics
• 32Database Security
• 33Optimization and Deep Learning
• 34Project in Data Analytics
• 35Appreciation of Ethics and Civilisation (M’sian Students)
• 36Malay Communication Language (Int’l Students)
• 37Philosophy and Current Issues
• 38Workplace Professional Skills
• 39Integrity and Anti-corruption
• 40Co-Curriculum

Entry Requirements

• STPM: 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject. OR 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM. OR 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Note : Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• A-Level: 2 Passes (Grade A-D) in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. OR 2 Passes (Grade A-D) in A-Level with a Credit in Additional Mathematics at SPM/ O-Level/ IGCSE or equivalent. OR 2 Passes (Grade A-D) in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ O-Level/ IGCSE or equivalent. *Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted. Note : Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• UEC: 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. 5 Grade B Passes in UEC in any subject including Additional Mathematics. 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent. Note : Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• Foundation/ Matriculation: A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent. Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level. OR A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Note : Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• ICT Related Diplomas: Diploma with a minimum CGPA of 2.75. Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.

Career Prospects

• 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