APU-DMU Dual Degree Scheme

This programme is specifically designed to provide:

• Advanced skills and techniques in artificial intelligence.
• Research opportunities to solve meaningful industrial problems with artificial intelligence techniques.
• Advanced research opportunities in artificial intelligence in preparation for doctoral studies.

The Benefits of This Programme:

On successful completion of this programme, you will be able to:

• Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems.
• Grasp knowledge on a wide range of subject matters ranging from Machine Learning, Robotics to Natural Language Processing.
• Effectively undertake and manage large scale and complex Artificial Intelligence (AI) projects.
• Engage in the design and implementation of Artificial Intelligence (AI) systems of high quality and reliability.
• Appreciate problems and suggest solutions associated with the development of Artificial Intelligence (AI) systems.
• Appreciate how an efficient Artificial Intelligence (AI) technology based infrastructure is a key factor in enabling a business to gain a competitive edge.
• Draw upon the body of knowledge and be able to overcome human limits to solve new problems using Artificial Intelligence (AI).

Who Should Attend:

This programme is geared towards practicing IT / Computing professionals within industry who seek further formal qualifications in Artificial Intelligence. In addition, professionals and managers who wish to enhance themselves with Artificial Intelligence knowledge and skills to postgraduate level will find this programme attractive. Fresh undergraduate students from Artificial Intelligence / Software Engineering / Data Science background will also find this programme worthwhile as a path to further enhance their academic qualifications.

Modules & Project:

The programme comprises 3 pre-requisite modules (for non-Computing students), 10 modules including 3 elective modules and a Project.

Pre-Requisite Modules

(For non-Computing students: to be completed upon 1st month of the programme)

• Programming in Python
• Data Structures and Algorithms
• Fundamentals of Artificial Intelligence

Core Modules

• Artificial Intelligence
• Image Processing and Computer Vision
• Fuzzy Logic
• Applied Machine Learning
• Computational Intelligence Optimization
• Natural Language Processing
• Research Methodology in Computing and Engineering

Project

Elective Modules (Choose 3) *

• Applied Robotics
• Pattern Recognition
• Expert Systems and Knowledge Engineering
• Business Intelligence Systems
• Multivariate Methods for Data Analysis
• Deep Learning

*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 will be expected to conduct effective research in relation to Artificial Intelligence for both academic and industry purposes. Either route will require you to plan and conduct effective academic research, and produce one academic paper, consultancy report or academic paper in relation to an aspect of Artificial Intelligence.

DIRECT ENTRY TO MASTER PROGRAMME:

• Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate.

• Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).

• Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.

Notes : Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.

• Software Engineer
• Data Scientist
• AI Researcher
• Intelligence Specialist
• Consultant
• AI Data Analyst
• Machine Learning Engineer
• Robotics R&D Engineer
• Machine Vision Engineer
• Artificial Intelligence Analyst
• Deep Learning Scientist