MSc Robotics Engineering

Build Intelligent Systems for the Future

Programme Overview

Aim

The MSc Robotics Engineering programme equips students with advanced knowledge and practical skills in robotics, automation, artificial intelligence, control systems, computer vision, embedded systems, and autonomous technologies. Students will learn to design, build, integrate, and deploy intelligent robotic systems capable of solving complex industrial and societal challenges.

Objectives

This programme is designed to:

Duration
1 Year / 3 Semesters
Language
English

Curriculum Overview

  • Foundations of Robotics
  • Principles of Robot Autonomy
  • Robot Mechanics & Kinematics
  • Sensors and Perception Systems
  • Software for Robotics
  • Research Methods
  • Robot Dynamics and Control
  • Machine Learning
  • Artificial Intelligence for Robotics
  • Computer Vision
  • Deep Learning
  • Mechatronics for Robotics
  • MS Project (Capstone)
  • Advanced Robotics Applications
  • Rehabilitation Robotics
  • Computer Graphics and Robotics Simulation

Career Prospects

Graduates of the MSc Robotics Engineering programme are prepared for advanced technical and leadership roles across technology-driven industries in Ghana, Africa, and globally.

Top Industries

Key Pathways

Robotics Engineer, Automation Engineer, Control Systems Engineer

AI/ML Engineer, Computer Vision Engineer, Autonomous Systems Developer

Industrial Automation Specialist, Mechatronics Engineer, Smart Systems Engineer

R&D Engineer, Robotics Research Assistant, Innovation Lab Specialist

Robotics Startup Founder, Product Developer, Prototype Engineer

Embedded Systems Engineer, Sensor Integration Specialist, IoT Systems Developer

Entry Requirements

Applicants must meet the following criteria:

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