Master in Applied Computing
(N/0613/7/0035) (07/2029) (MQA/PA17282)
Programme Overview
The Master's in Applied Computing degree offers a practical, industry-focused education designed to equip students with advanced computing skills and knowledge. This programme emphasises the application of computer science principles to real-world problems, covering areas such as software development, data analytics, cybersecurity, and cloud computing. Students engage in hands-on projects and collaborate with industry partners to gain practical experience and insights. With a curriculum tailored to meet the demands of the modern tech industry, graduates are prepared for dynamic careers across various sectors, including IT, finance, healthcare, and more, driving innovation and technological advancement.
Entry Requirements
i. A Bachelor's Degree (Level 6, MQF) in Computing or related field, with a minimum CGPA of 2.50, as accepted by the Perdana University's Senate;
OR
ii. A Bachelor's Degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment;
OR
iii. A Bachelor's Degree (Level 6, MQF) in a Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a rigorous assessment to identify necessary bridging courses or to evaluate relevant working experience;
OR
iv. Other qualifications equivalent to a Bachelor's Degree (Level 6, MQF) in Computing or related fields recognised by the Government of Malaysia.
English Language Requirements
International Students: IELTS 6.0 (Equivalent to CEFR Mid B2)
If a student does not meet this requirement, Perdana University offers a three-month Intensive English Preparatory program to ensure proficiency meets the program's needs.
Curriculum Structure
CORE MODULES
- Concepts of Programming Using Python
- Principles of Data Science and Modelling
- Artificial Intelligence
- Research Methodology
- Big Data Analytics Technology
- Applied Machine Learning
- Elective Module (Choose 1 from another specialization)
- Capstone Project I & II
SPECIALISATION TRACKS (Choose One)
1. Data Science
- Applied Data Science
- Data Visualisation
- Data Engineering
2. Artificial Intelligence
- Applied Artificial Intelligence
- Robotic Process Automation
- Computer Vision & NLP
3. Web Development
- Web Development Using Python
- Web Development Technologies
- Interactive Web Design
Why Choose Us?
- Industry-Relevant Skills: Equip yourself for careers in IT, finance, healthcare, and beyond.
- Practical Learning: Hands-on experience with real-world projects to foster innovation.
- High Demand: Curriculum designed to meet the growing global need for tech professionals.
- Resources: Supported by experienced faculty and state-of-the-art computing facilities.
- Networking: Benefit from interdisciplinary applications and a global professional perspective.
Career Prospect
- University Lecturer
- Research Scientist
- Research Engineer
- Data Scientist / AI Specialist
- Full-Stack Web Developer
Contact us
Perdana University
Suite 5.3, Level 5 Wisma Chase Perdana Changkat Semantan, Damansara Heights, 50490 Kuala Lumpur
- General Line
- +603 - 2011 6478
- Marketing Department
- +6019 - 912 6828
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