Robotics and Embedded Systems Engineering (with integrated year in industry) MEng

Program Overview

It encompasses topics in mathematics, programming, artificial intelligence, robotics, and software engineering, culminating in an integrated year in industry for practical experience to boost career prospects.

Program Outline

Aberystwyth University - Robotics and Embedded Systems Engineering (with integrated year in industry) 132D MEng

Degree Overview:

This MEng program in Robotics and Embedded Systems Engineering (with Industrial Year) focuses on building physical systems that involve software, electronics, sensors, and actuators. The program covers a wide range of topics including:

• Mathematics
• Programming
• Artificial Intelligence
• Robotics
• Software Engineering
The program emphasizes building and running physical systems involving computerized sensing and control. It also includes an Industrial Year, which provides valuable experience sought by employers and enhances career prospects. Taught by research-led staff in a supportive learning environment, students gain highly valuable and transferable skills for a range of career paths.

Outline:

Year 1:

• Core Modules:
• Algebra and Differential Equations (PH16210) - 10 credits
• Calculus (MP10610) - 10 credits
• Information security (CS11110) - 10 credits
• Introduction to Programming (CS12020) - 20 credits
• Problems and Solutions (CS10720) - 20 credits
• Programming Using an Object-Oriented Language (CS12320) - 20 credits
• Study Skills for Computer Science (CS18120) - 20 credits

Year 2:

• Core Modules:
• Algorithm Design and Data Structures (CS21120) - 20 credits
• Artificial Intelligence (CS26520) - 20 credits
• Mathematical Physics (PM26020) - 20 credits
• Robotics and Embedded Systems (CS26020) - 20 credits
• Sensors, Electronics & Instrumentation (PH24520) - 20 credits
• Software Engineering (CS22120) - 20 credits

Year 3:

• Core Module:
• Sandwich Year (CSS0060) - 60 credits (Industrial Placement)

Year 4:

• Core Modules:
• Engineering Control Theory (PH33310) - 10 credits
• Major Project (CS39440) - 40 credits
• Professional Issues in the Computing Industry (CS38220) - 20 credits
• Space Robotics (CS36510) - 10 credits
• Systems Engineering (CS33020) - 20 credits
• Optional Modules:
• Agile Development and Testing (CS31310) - 10 credits
• Computer Vision (CS34110) - 10 credits
• Fundamentals of Machine Learning (CS36110) - 10 credits
• Robotic Applications (CS36010) - 10 credits
• Semiconductor Technology (PH33610) - 10 credits

Year 5:

• Core Modules:
• Developing Advanced Internet-Based Applications (SEM5640) - 40 credits
• Fundamentals of Intelligent Systems (CSM6120) - 20 credits
• Machine Learning for Intelligent Systems (CSM6420) - 20 credits
• Optional Modules:
• Advanced Research Topics (PHM7020) - 20 credits
• Computational Intelligence (CSM6520) - 20 credits
• Research Topics in Computing (SEM1020) - 20 credits

Assessment:

The program uses a combination of assessment methods, including:

• Coursework
• Practicals
• Projects
• Workshops
• Examinations

Teaching:

• The program is taught by enthusiastic staff with PhD qualifications or considerable research/industrial experience.
• Teaching methods include lectures, seminars, tutorials, practicals, and individual/group-based project work.
• Students are assigned a personal tutor throughout the degree course for academic and personal support.
• Students can complete a Personal Development Plan (PDP) to chart their personal, academic, and professional development.

Careers:

The program prepares students for a variety of careers, including:

• Robotics
• Embedded systems design
• Software development
• Communications and networking
• Computer applications
• IT consultancy and management
• Systems analysis and development
• Education

Other:

• The Department of Computer Science has dedicated Linux, Mac OS X laboratories and central servers.
• Students have access to robotic equipment including Arduinos, mobile robots, and sailing robots.
• The program emphasizes hands-on experience in the engineering of robotics and embedded systems.
• Students develop employability skills through a first-year residential weekend and a second-year residential weekend focusing on skills for finding placements.
• The program includes a module on software development life cycle, allowing students to take on industry roles like project manager or designer.