Master of Science In Digital Transformation
Welcome to our course overview. Dive into the details to explore!
Course Overview
Qualification: Master
Study Mode: Full Time
Intakes: January, May, August, December
Duration: 1 Year
Tuition Fee: RM 38,800
English Requirement: IELTS : 5.5
Course Details
What you will be learning:
This programme is specifically designed to provide:
- Graduates with knowledge, skills, and competencies that will help in the development of the country and enable them to progress their careers in digital transformation.
- An understanding of digitally connected systems in organizations that automate manual tasks, streamlining workflows, enhancing efficiency, and improving customer experience.
- An opportunity to develop capabilities in implementing digital transformation initiatives effectively, empowering organisations agility and innovation to quickly respond to customer and competitor demands.
- A comprehensive knowledge in identifying digital technologies, their applications in various industries, and leadership qualities.
- The Benefits of the Programme
- Develop skills to conduct business consultation in digital transformation projects by engaging with customers and understanding their needs.
- Apply the concepts in technologies relevant to industrial revolution 4.0 to develop or redesign new business processes that can improve productivity and efficiency while preparing companies for AI adoption.
- Master design thinking principles on change management to build strategic working relationships and meet potential customers expectations.
- Examine digital engagement platforms requirement in meeting customers needs.
- Analyse business trends in digital platforms to grow new business or cross sell additional products or services.
- Prepare students who are not from a computing background to develop the necessary knowledge to undertake digital transformation projects within their expertise.
Dual Degree Programme
Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.
Admission requirements :
please contact our educational consultants or submit your application for Admission assessment.
Fee Structure
Fee Type | Amount (MYR) |
---|---|
1st Year Fee | RM 38,800 |
Deposit (Refundable) | RM 1,500 |
International Student Admission Fee | RM 5,800 |
Visa and Insurance Fee | RM 2,550 |
Curriculum
Modules
This programme comprises 10 coursework modules and a Project. There are 7 compulsory Core Modules (including Research Methodology module) and you will have to choose 3 elective modules from those listed).
Pre-requisite Modules
(For Non-Computing Students: Duration: 1 month (Full-time) / 4 months (Part-time))
- Programming in Python
- Practical IOT
- Fundamentals of Artificial Intelligence
Core Modules
- Business Intelligence Systems
- Disruptive Innovation Strategies
- Technology, Culture and People: A Global Perspective
- Leading Digital Business Transformation
- Digital Project Management
- IR 4.0 Enabling Technologies
- Research Methodology in Computing and Engineering
- Project
Elective Modules (Choose 3)*
- Building IOT Application
- Financial Technology
- Cyber Security & Threats
- Big Data Analytics and Technologies
* Elective modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules – however such changes may prolong the study duration.
Project
You are required to complete an industry-based major project where possible, however the emphasis must be placed on an effective demonstration of how the application of digital transformation can be part of the business environment. It is expected that the project would devise, recommend, or implement innovative solutions to the problem areas.