OVERVIEW
Our Master of Applied Computing programme is designed to cultivate a culture of empowerment and foster innovation among our students. We are committed to developing critical human capital for the knowledge economy and forging strong academic-industry partnerships in collaboration with Taylor’s University.
The MAC programme offers two exciting specialisations: Artificial Intelligence and Data Science. By specialising in Artificial Intelligence, you will explore the complexities of machine learning, deep learning, and natural language processing. In the Data Science specialisation, you will delve into the world of big data analytics, statistical modelling, and data visualisation.
School
Computer Science
Intake Month
February, April, June, September & November
Study Options
Full time or part time
Study Programme
1-year (full time) or 2-year (part time)
Specialisations
Artificial Intelligence & Data Science
Professional Certification
on AI, Data Science and micro-credentials
Interested to know more? Start your journey with us now.
PROGRAMME OVERVIEW
PROGRAMME STRUCTURE
The programme focuses on developing critical reasoning and technical writing skills as well as professional presentation skills which is excellent preparation for seeking careers in software-related computing fields.
Core Modules
- Principles of Programming
- Big Data Management
- Principles of Artificial Intelligence
- Principles of Data Science
- Research Methodology
Dissertation
- Capstone Project I and II
Note:Â All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.
Specialisation
Artificial Intelligence SpecialisationÂ
- Image and Text Processing
- Robotic Automation Using AI Techniques
- Data Analytics and Machine Learning
Data Science SpecialisationÂ
- Data Engineering
- Data Analytics and Machine Learning
- Data Visualisation
Note:Â All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.
Note:Â
- Kindly note that the Master of Applied Computing programme is approved by MoHE as 41 Graduating Credits. However, students can do a double specialisation with 49 Credits as additional credits. The Malaysian Qualification Register of MQA will still reflect as 41 graduating credits as per the approval from MoHE.
ENTRY REQUIREMENTS
Are you ready to take the next step in your academic journey? Our programme offers an exciting opportunity for individuals passionate about the field of Applied Computing. To ensure a smooth admission process, please take note of our entry requirements listed below.
Fulfilling one of the requirements listed below:
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; OR
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields or equivalent with a minimum CGPA of 2.00 can be accepted subject to a minimum of FIVE (5) years of working experience in the related fields and rigorous internal assessment; OR
- Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate prerequisite courses as determined by the HEP
- Â Application via APEL A is allowed. For the requirements please refer to the index page.
- Candidates without a qualification in the related fields or relevant working experience must undergo appropriate prerequisite courses as determined by the HEP and meet a minimum CGPA of 2.00 with minimum of FIVE (5) years of working experience in the related fields, and rigorous internal assessment.
- For international students: IELTS 6.0 / TOEFL 60 (Internet Based Test) (May join IEN preparatory course and achieve the IELTS score)
International Students
English Requirement: IELTS 5.5 / TOEFL 60 (Internet Based Test) (May join IEN preparatory course and achieve the IELTS score)
If Your Bachelor’s Degree is from a Different Field
- Students without experience in Computing will have to complete and pass a Bridging module (ITS70102 Fundamentals of IT) before undertaking the core modules of the programme.
Note:Â All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.
FUTURE CAREERS
When you’ve successfully completed this Master of Applied Computing programme, you could embark on any of these exciting careers, including:
Artificial Intelligence Specialisation
- AI Researcher
- Intelligence Specialist
- Consultant
- AI Data Analyst
- Machine Learning Programmer
- Machine Learning Engineer
- Robotics R&D Engineer
- Machine Vision Engineer
- Artificial Intelligence Analyst
- Deep Learning Scientist
Data Science Specialisation
- Data Engineers
- Data Analyst
- Business Analyst
- Data Scientist
- Chief Technology Officer (CTO)
- Data Analytics Manager
- Business Analyst Manager
- Data Innovation Manager
- Machine Learning Scientist
- Business Process Engineer
- Data Wrangler / Munger / Miner
- Business Intelligence Manager
- Analytics & Reporting Manager
- Decision Analytics Manager