MPhil Robotics Engineering

Advance Research. Drive Innovation.

Programme Overview

Aim

The MPhil Robotics Engineering programme develops advanced research, analytical, and technical expertise in robotics and automation. It prepares students to conduct original research, solve complex engineering problems, and contribute to innovation in areas such as control systems, kinematics, computer vision, mechatronics, AI, programming, simulation, and hardware integration.

Objectives

This programme is designed to:

Duration
2 Years / 4 Semesters
Language
English

Curriculum Overview

  • Foundations of Robotics
  • Principles of Robot Autonomy
  • Robot Mechanics & Kinematics
  • Sensors and Perception Systems
  • Research Methods
  • Robot Dynamics and Control
  • Machine Learning
  • Artificial Intelligence for Robotics
  • Computer Vision
  • MPhil Thesis 1: Thesis Seminars and Proposal
  • MPhil Thesis 2: Research, Seminars and Conference
  • Deep Learning
  • Mechatronics for Robotics
  • Advanced Robotics Applications
  • Rehabilitation Robotics

Career Prospects

Graduates of the MPhil Robotics Engineering programme will be prepared for advanced research, technical leadership, innovation, and academic pathways in robotics and intelligent systems.

Top Industries

Key Pathways

Research Fellow, Robotics Researcher, PhD Candidate, Academic Technologist

Robotics Engineer, Automation Systems Engineer, Control Systems Specialist

Autonomous Systems Researcher, Computer Vision Specialist, AI Robotics Engineer

Prototype Developer, Robotics Product Lead, Technology Venture Founder

Smart Manufacturing Specialist, Industrial Automation Consultant, Systems Integration Engineer

Robotics Programme Lead, Innovation Lab Coordinator, STEM Education Specialist

Entry Requirements

Applicants must meet the following criteria:

  • A Bachelor’s degree from an accredited university with at least Second Class Upper, or Second Class Lower with a relevant post-university work experience
  • Preference will be given to applicants with backgrounds in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Robotics Engineering, or related fields
  • Applicants from other academic backgrounds may be considered on a case-by-case basis

Why ACity

Our Unique Learning Pillars

Experiential Learning

Hands-on learning to prepare students to readily apply concepts, to easily integrate into the workspace.

Contextual Learning

Solving real grass-root problems to expose students to the local context and develop empathy towards the continent’s progress.

Unified
Learning

A project-based approach that combines concepts across courses to connect the dots and enable unified learning.

Extensional Learning

Arms students with a viable toolkit to help them confront real-life issues, they may not have encountered during their academic life, squarely.

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