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Course Overview

This programme equips students with in-depth knowledge of computer science and data analytics, preparing them to solve real-world problems through advanced programming, statistical modelling, and business analytics tools. APU graduates will also receive a joint professional certificate from SAS.

Achievement

APU-DMU Dual Degree Programme, SAS Joint Professional Certificate in Computer Science and Data Analytics

Curriculum

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

• Computing & IT in the Workplace
• Introduction to Management
• System Analysis & Design
• Fundamentals of Software Development
• Mathematical Concepts for Computing
• Operating Systems & Computer Architecture
• Introduction to Networking
• Introduction to Databases

Specialized Modules

• Fundamentals of 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 algorithmic 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

• Object Oriented Development with Java
• System Development Methods
• Programming for Data Analysis
• Creativity & Innovation
• Research Methods for Computing and Technology

Specialized Modules

• Computing Theory
• Data Structures
• Concurrent Programming
• Data Management
• Business Intelligence Systems
• Data Mining and Predictive Modelling
• Probability & Statistical Modelling

INTERNSHIP (16 weeks)

After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the world of Computer Science.

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

• Innovation Management & New Product Development
• Project Management

Specialized Modules

• Algorithmics
• Real-Time Systems
• Behavioural Science and Marketing Analytics
• Text Analytics and Sentiment Analysis
• Emergent Technology
• Optimisation and Deep Learning
• Database Security
• Investigations in Data Analytics
• Data Analytics Project

MQA Compulsory Subjects*

• Ethnic Relations (M’sian Students)
• Islamic & Asian Civilisation (M’sian Students)
• Malaysian Studies (Int’l Students)
• Malay Communication Language (Int’l Students)
• Workplace Professional Communication Skills
• Employee & Employment Trends
• Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency)

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 equivalent variations with Additional Mathematics or credit in Mathematics + Science subject and Pre-Requisite module.
• A-Level: 2 Passes (Grade A-D) in Science stream with Pass in Mathematics and one Science or ICT subject, or variations with Additional Mathematics.
• UEC: 5 Grade B Passes in any subjects with Mathematics and Science or ICT or Additional Mathematics, some cases require Pre-Requisite module.
• Matriculation/Foundation: Pass with CGPA ≥ 2.0 and credit in Additional Mathematics or Mathematics + Science/ICT, or equivalent. Pre-Requisite may apply.
• Diploma: CGPA ≥ 2.50. Conditional acceptance for 2.0 ≤ CGPA < 2.5 with rigorous assessment.

English Requirements

• IELTS: 5.0
• TOEFL IBT: 40
• Pearson (PTE): 47
• MUET: Band 3.5

Career Prospects

• Data Scientist
• Data Analyst
• Machine Learning Scientist
• Business Intelligence Developer
• Data Engineer
• Analytics Manager