Course Structure

Students follow taught modules in Semester 1 (Autumn) and Semester 2 (Spring) and they carry out an independent research project and write their MSc thesis (dissertation) in the summer.

Course Details

The MSc is taught over three days each week during the semester for Semester 1 (Autumn) and Semester 2 (Spring). You will study one module per day, with 6–7 hours of teaching for that module. This timetable stays the same throughout the semester. Apart from six modules in total, the students carry out an independent research project and write their MSc dissertation in the summer.

In any given year further specialist topics may be available or some topics may not be offered.

Programme Modules

This programme will cover the following however delivery and modules may be subject to change.

Foundations of AI – covers the mathematical foundations of AI

Machine learning - covers machine learning theory, classical algorithms, and case studies.

Mechatronics for Robotics - this hands-on module covers embedded software and hardware with an emphasis on utilisation on mechatronics and especially robotics, using microcontrollers, sensors and actuators.

Robotics - covers all fundamentals in robotics such as kinematics and dynamics and robot control,
architectures and ML/AI applications within robotics

Computer vision - covers traditional approaches and deep learning approaches in tasks including
image/video classification, detection and retrieval, and case studies.

Control – provides a toolkit for analysis, control, estimation and identification of dynamical systems, with an emphasis in robotics

Themed Research Project - Students will further develop their skills in robotics and AI by solving
problems in robotics utilising robotics offered by School labs and / or purchased for each project
(e.g., mobile robots, UAVs, robotic manipulators). Examples include motion planning, robotic
application using computer vision, AI/ML approaches to human-robot interaction, control of
robotic manipulators etc. Industry-sponsored themes will be encouraged be included, in potential
collaboration with Queen’s Advanced Manufacturing and Innovation Centre (AMIC). We offer a
large number of project proposals every year.

Learning and Teaching

Learning and Teaching

Academic Team

You will be taught by a team of experts in their subject areas and are active researchers in those subjects. Often our students conduct their individual research project within an ongoing research project so they get exposed to the state of the art in Robotics and AI.

English Language Support

The school is offering support on the use of English in academic writing. This will help you not only during your studies at Queen’s, but also in your future career.

Mathematics Support

The school is offering additional support on mathematics. Queen’s University is also home to MASH: the Mathematics and Statistics Helpdesk.

Modules

Each module normally involves 6-7 hours of lectures, labwork and contact time per week.

Transferable Skills

We give a lot of emphasis on the development of transferable skills, such as the communication skills, time management and prioritisation, research and critical thinking, effective CV writing and interview skills, collaboration and more.

Virtual Learning Environment

All modules have a virtual learning environment (using Canvas) where the students can find all relevant material (lecture notes, handouts, video lectures) as well as online quizzes and assignments. Without a doubt, having all learning resources in one place is very useful.

Assessment

Assessments associated with the course are outlined below:

• Coursework
• Project dissertation

Modules

Career Prospects

Introduction

This MSc prepares you with a highly adaptable, industry-relevant skill set, opening opportunities across technology companies, advanced manufacturing, aerospace, healthcare innovation, energy systems, consultancy, government agencies and research institutions.
Graduates may progress into roles such as:
- Robotics Engineer: developing, testing and integrating autonomous robotic systems for industrial and service applications.
- Artificial Intelligence / Machine Learning Engineer: designing data-driven models that power intelligent decision-making.
- Computer Vision Engineer: creating perception systems that enable machines to interpret and interact with their environment.
- Control and Systems Engineer: delivering advanced modelling and control solutions for dynamic and automated systems.
- Automation or Systems Architect: leading the design of intelligent, digitally enabled manufacturing and production systems.
- Autonomous Systems Specialist: building complete end-to-end solutions that combine sensing, planning and control.
- Research Engineer or Doctoral Researcher: contributing to cutting-edge advancements in robotics and artificial intelligence.
With expertise spanning software intelligence and physical system integration, graduates are well positioned to lead innovation in one of the most rapidly advancing technological fields worldwide.
http://www.qub.ac.uk/directorates/sgc/careers/

Prizes and Awards

In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more.

Graduate Plus/Future Ready Award for extra-curricular skills

In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more. So not only do you graduate with a degree recognised from a world leading university, you'll have practical national and international experience plus a wider exposure to life overall. We call this Graduate Plus/Future Ready Award. It's what makes studying at Queen's University Belfast special.

Tuition Fees

Northern Ireland (NI) 1	£7,700
Republic of Ireland (ROI) 2	£7,700
England, Scotland or Wales (GB) 1	£10,400
EU Other 3	£27,600
International	£27,600

¹EU citizens in the EU Settlement Scheme, with settled status, will be charged the NI or GB tuition fee based on where they are ordinarily resident. Students who are ROI nationals resident in GB will be charged the GB fee.

² EU students who are ROI nationals resident in ROI are eligible for NI tuition fees.

³ EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees.

All tuition fees quoted relate to a single year of study unless stated otherwise. Tuition fees will be subject to an annual inflationary increase, unless explicitly stated otherwise.

More information on postgraduate tuition fees.

Additional course costs

There are no specific additional course costs associated with this programme.

All Students

Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.

Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.

If a programme includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.

Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.

There are also additional charges for graduation ceremonies, examination resits and library fines.

How to Apply

Apply using our online Queen's Portal and follow the step-by-step instructions on how to apply.

Apply now

Terms and Conditions

The terms and conditions that apply when you accept an offer of a place at the University on a taught programme of study.
Queen's University Belfast Terms and Conditions.

Download a prospectus