Autonomous Robotic Intelligent Systems

MScAutonomous Robotic Intelligent Systems

Why this course?

This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines. 

UK growth in the global robotics market is expected to be £13 billion by 2025.

In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.

Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

You’ll study

You’ll take two semesters of compulsory and optional taught classes. These are followed by a three-month research project in your chosen area. Opportunities exist to do the project through the departments' competitive MSc industrial internships.

The internships are offered in collaboration with selected department industry partners. You’ll address real-world engineering challenges facing the partner, with site visits, access and provision of relevant technical data and/or facilities provided, along with an industry mentor and academic supervisor.

Facilities

We’ve a wide range of excellent teaching spaces including interactive flexible learning spaces, and state-of-the-art facilities. Our Technology and Innovation Centre (TIC) is home to a number of world class labs where students will have an opportunity to undertake research projects in relevant areas. The University is also home to some key and relevant industry engagement research centres, including:

Industry engagement

Interaction with industry is provided through our internships, teaching seminars and networking events. The departments deliver monthly seminars to support students’ learning and career development.

Xilinx, Texas Instruments, MathWorks, and Leonardo are just a few examples of the industry partners you can engage with during your programme of study.

Course content

Compulsory classes

Autonomous Sensing, Learning, & Reasoning

This module aims to provide background education and experience in machine intelligence and autonomous system design from the algorithm level. Students will learn the basics of the predominant data analysis, machine learning, and decision-making algorithms in use today as well as applying their knowledge to a set of simple automation tasks for both real and virtual robotic platforms in the laboratory and on their own computers.

Digital Manufacturing Concepts (10 credits)

This module aims to provide students with knowledge and understanding of the key concepts for Digital Manufacturing, current practices, tools and processes, and possible future development routes.

The module covers the current state of digital manufacturing, including tools and processes and identification of challenges and areas requiring further development in terms of research and technology innovation, product and service development, supplier management, production, routes to market, delivery, in service, maintenance, repair, remanufacture and reuse, and business plan development and management aspects. Digital manufacturing developments are also considered including the exploration of life-phases, challenges and technologies, Industry 4.0, Smart Products, Internet of Things, Cyber Physical Systems, value chains and value creation through life.

At the end of this module students will be able to:

  • Demonstrate an understanding of the key concepts for digital manufacturing and stages of development of the manufacture of a chosen product
  • Discuss different digital manufacturing approaches
  • Provide an overview of the tools, processes and practices currently employed in digital manufacturing
  • Identify challenges and opportunities for improvement
  • Understanding of current worldwide initiatives for the future development of digital manufacturing, and exploration of how proposals for future development given would affect the current processes

Assessment and feedback is in the form of coursework (100%) including a group presentation and a report.

Manufacturing Automation (10 credits)

This module aims to introduce students to the concepts and basic technology of manufacturing automation and to be able to select suitable applications and specify the type of automation to be used in specific cases.

The module covers: Automation in manufacturing industry, why and where; Industrial robots, automation and typical applications; Open and closed loop control; Problems in robot design and control; Types of motion control; Control system functions; Advantages and disadvantages of electric and fluid power systems; Types of electric motors and their control techniques, simple actuators for hydraulic and pneumatic systems; Methods of programming robots; Relative economics of human labour, reprogrammable and hard automation and Safety considerations for industrial robots and other automated systems.

At the end of this module students will be able to:

  • Demonstrate knowledge and understanding of why manufacturing automation is used
  • Describe the conditions under which manual and/or automated production methods would be applied
  • Analyse the configuration and technical specifications of an automation system suitable for a specified task
  • Synthesise a manufacturing task suited to a specified automated system
  • Analyse and understand the technological elements of drive and control, and machine vision, systems
  • Critically appreciate the kinematic and dynamic problems associated with the control of automated systems
  • Understand the implications of applying automation in human terms
  • Demonstrate knowledge of safety factors that must be considered when installing automation

Assessment and feedback is in the form of one coursework submission showing technical analysis of an aspect of automation and critical thinking on the design of systems (40%), an exam (50%) and in-class participation (10%).

Design for Industry 4 and Smart Products (10 credits)

This module aims to provide students with knowledge and understanding of the key concepts for the Design for Industry 4 and Smart Products, current practices, tools and processes, and possible future development routes.

The module covers the current and latest state-of-the-art in Design for Industry 4 and Smart Products, including the identification of challenges and areas requiring further development in terms of research and technology innovation, product and service development, supplier management, production, routes to market, delivery, in service, maintenance, repair, remanufacture and reuse, and business plan development and management aspects. It also explores the latest initiatives worldwide that tie with Design for Industry 4 and Smart products (Industrial Internet of Things (IIoT), Cyber Physical Systems, Cloud Manufacturing, Big Data analytics and Edge Analytics, Additive Manufacturing for Smart Products, IIoT Security aspects) and Through-Life Engineering and Through-Life Engineering Services (TES) concepts.

At the end of this module students will be able to:

  • Formulate an overview of the tools, processes and best practice currently employed in Design for Industry 4 and Smart Products
  • Understand initiatives currently undertaken worldwide for the future development of Design for Industry 4 and Smart Products, and assess how proposals for future development given would affect the current processes.

Assessment and feedback is in the form of classwork (100%) including a group presentation and a report.

Mechatronic Systems Design Techniques (10 credits)

This module introduces design techniques and mechatronic systems at an advanced level in order to enable students to understand the application of advanced design techniques and development platforms for modern products and engineering systems. It provides opportunities for students to develop technology-focused products/systems by using the state-of-the-art hardware platforms and industry-standard software development tools within the class environment.

The module covers: Mechatronic system design process (including Product/system design specifications (PDS), concept generation and selection, mechatronic system design and flow chart diagrams); Sensing and actuation (including sensing theory, sensor selection, drive design and motor control); Control systems (understanding and applying control theory in a mechatronic system design); Hardware and software design (including software design basics, algorithm and code design, programming tools and software engineering principles); Prototyping and evaluation (prototyping methods and tools including rapid prototyping and computer modelling).

At the end of this module students will be able to:

  • Demonstrate knowledge and understanding of advanced design methodologies, design process models and techniques for mechatronic systems
  • Demonstrate the design process to generate mechatronic design solutions and prototyping skills
  • Demonstrate knowledge and understanding of state-of-the-art processor architecture on modern embedded computing platforms
  • Describe processor architecture and the interface with real-world interactions
  • Apply knowledge to the modern embedded computing platforms, including selection of sensors and actuator to formulate a basic control system in mechatronic product design
  • Apply design basics and tools to the development of software for mechatronic products

Assessment and feedback is in the form of two assignments. Both are carried out in groups and assessed in terms of the quality of report and presentation/demonstration (50%/50%).

Robotics: Systems and Control (10 credits)

This module aims to provide an introduction and overview to the various core aspects of robotics which include design, control, sensing and localisation. It provides a solid base of understanding through theory and examples. Intuition is encouraged through numerous hands-on examples.

The module covers: Robotic systems including background, classification of robots based on design construction, control systems; Performance characteristics of typical robots; forward kinematics of robots including Denavit-Hartenberg (D_H) algorithm and inverse kinematics; Robotic control including principles of system modelling, Matlab implementation, time and frequency domain analysis and control system analysis; Bayesian robot localisation including linearization and Kalman Filtering; Robotic computer vision in particular when applied to mapping and localisation.

At the end of this module students will be able to:

  • describe types of robotic systems, their dynamic and mechanical architecture and associated sensor technology
  • describe appropriate path-planning techniques taking into account ways to perform collision avoidance and speed up optimal path evaluation
  • understand standard camera models and common approaches to image registration
  • use computer-based tools to evaluate designs, measure, record and report experimental and numerical data relevant to robotic and other computer control systems
  • formulate models from given relevant information and design control systems to drive these models to specified positions and within required accuracy, speed and other performance-related parameters

Assessment and feedback is in the form of a final exam (60%) and coursework which will be a mixture of multiple choice quizzes and laboratory work (40%).

Assignment & Professional Studies

The aim of this class is to provide you with support for your general academic and professional development.

You'll undertake an advanced investigation of an electronic or electrical engineering topic of your choice, to enhance your learning, and develop presentation and communication skills.

Elective classes

Strategic Technology Management (10 credits)

This module aims to provide a series of strategic frameworks for managing high-technology businesses. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide a guiding framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behaviour of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

At the end of this module students will be able to:

  • Demonstrate a comprehensive understanding of the role and importance of technology in business strategy formulation process
  • Develop the ability to critically assess concepts, tools and techniques of managing technology for both stable and turbulent business environments
  • Evaluate complexity and develop appropriate technology strategy models for specific cases

Grades will be determined by class participation assessed through four two-page papers on case studies, which may be written in groups of 4 people (40%), and an individual final technology strategy report based on an in-depth exploration of technology strategy in an assigned industry (60%). There is no final exam.

Product Modelling & Visualisation (10 credits)

This module aims to enable students to understand the concepts of virtual product modelling and techniques used to visualise products before they are fully designed and manufactured.

The module covers: an introduction to basic modelling, visualisation and evaluation techniques creating models, parts and assemblies; The representations that underpin modern CAED systems (wireframe, surface, CSG and BRep), basic computer graphics (homogeneous transformations), data exchange, information integration, product data management, economics of CAD/CAM systems (cost breakdown, potential benefits, improving cost/benefit ratio), basic systems selection and justification and organisational impact and system management.

At the end of this module students will be able to:

  • demonstrate the ability to use a commercially available CAD system by creating 3-D product models and appropriate visualisations for evaluation
  • demonstrate knowledge and understanding of product modelling and visualisation by demonstrating an ability to provide 2D/3D part and assembly drawings, and a variety of sectioned/dimensioned views of part/assembly models
  • demonstrate knowledge and understanding of product evaluation techniques by identifying and describing suitable product evaluation techniques such as FEA and utilise for evaluation
  • describe and discuss the functionality and benefits that CAED systems can bring to product development by identifying and justifying a CAED solution for an industrial problem

Assessment and feedback is in the form of coursework (100%).

Design Methods (10 credits)

This module aims to enable students to select and apply appropriate design methods as a part of the design process.

The selection and use of design methods within the context of modern design practices and the new product development process will be explored. Emphasis will be placed on recently developed product independent design methods and their application within industrial environments. Specific topics include the design process management frameworks, user understanding methods, product specification methods, creative methods, design for production and cost methods, design for safety and reliability methods and design for the environment.

At the end of this module students will be able to:

  • select and apply appropriate design methods for a design project to solve product design oriented problems by understanding specific design methods and recognising their strengths and weaknesses
  • integrate appropriate design methods into a design process to ensure fitness of purpose of all aspects of the problem/context by demonstrating how manufacture, costing, environmental, disposal and customer needs may be addressed in the design process through design methods
  • analyse literature sources to identify design methods suitable for a particular situation by undertaking a critical literature review to identify current developments in design methods in research and practice and synthesise the results of the literature review into a report

Assessment and feedback will be in the form of an exam (60%), a report (35%) and a presentation (5%).

Systems Thinking & Modelling (10 credits)

This module aims to introduce students to the theories and principles of Systems Thinking. The module also introduces the methods, tools and techniques for modelling, analysing, improving and designing systems in a variety of organisations including industrial, commercial and public sector.

The module covers: Systems theory, concepts and approaches; Hard and soft systems analysis and systems dynamics; Systems and organisational performance – including leadership in a systems environment and ‘design’ in a systems environment and Practical application of Systems Thinking.

At the end of this module students will be able to:

  • show clearer understanding and knowledge of hard and soft approaches and how they can be used to deal with complexity and system behaviour in a business context
  • develop understanding of fundamental cybernetic principles that form the foundations of Checkland’s Soft System Methodology and Beer’s Viable System Model
  • develop knowledge and skills in systems analysis and business process modelling
  • critically evaluate the most appropriate methodology to model, analyse and design engineering/business systems across a range of organisations
  • demonstrate an understanding of how to model a business system and to develop a solution to solve a business system problem
  • develop an awareness of the importance of system approaches in management interventions

Assessment and feedback is in the form of a group presentation and one coursework in the form of a reflective diary.

Micro- and Nano-Manufacturing (10 credits)

This module aims for the student to acquire: (1) knowledge of the fundamentals of micro- and nano-products and of the manufacturing of such products (MEMS, micro-fluidic devices, micro-medical devices, micro-motors, microrobots, MOEMS, etc.), size-effects, material/interface behaviour at the micro-/nano-scale, challenges to manufacturing at low length-scales, etc.; (2) knowledge of micro-/nano-materials processing methods, techniques, industrially-viable processes, etc. and (3) experience and skills in the design/selection of micro- /nano-manufacturing processes, tools and equipment for real-world products.

It covers material behaviour, challenges, processes (subtractive, additive, deformation, replication, joining, hybrid processes including mechanical, thermal, chemical, electrochemical, electrical methods) and tools, machines and manufacturing systems.

At the end of this module students will be able to:

  • Explain key techniques used in the processes for the manufacture of micro-products
  • Correctly select technologies for specified products and materials
  • Demonstrate calculations of forming/cutting forces involved and analysis of stresses/temperatures involved in tools/machine-frames/workpiece as appropriate
  • Deliver a machine design (either for micro-machining or micro-forming) with detailed analysis and module designs, including a cost analysis on the machine designed.

Assessment and feedback is in the form of coursework (40%) and a project (60%), including a group project presentation and project report and individual assignment.

Advanced Forming and Technology Systems (10 credits)

This module aims to provide students with knowledge and understanding of the underlying principles of the metal forming theory and practice as applied to modern metal forming machines, tools and processes.

The module covers concepts and definitions including stress, yield condition, strain, flow laws, plastic work, evolution equations, meso and micro-scale approaches; limiting phenomena (shape accuracy, plastic flow localisation, fracture, tool strength, friction, microstructure); metal forming machines and tooling; bulk metal forming; sheet metal forming and incremental forming.

At the end of this module students will be able to:

  • Describe stress/strain relationship for metals undergoing plastic deformation
  • Explain the mechanism of plastic deformation at the meso and micro scale
  • Explain the effect of different factors on the net-shape forming capability
  • Discuss metal forming problems resulting from material and tool interaction
  • Explain limitations of the metal forming technology due to a tool/machine system
  • Discuss major elements and challenges for a forging system
  • Explain the idea and give examples of incremental metal forming operations

Assessment and feedback is in the form of an exam (80%) and coursework (20%)

Advanced Materials & Production Technology (10 credits)

This module aims to provide students with an introduction to the fundamentals of advanced materials, characterisation and advanced surface engineering. The module also covers advanced machining processes and technologies and the principles and practices of rapid prototyping and manufacturing.

The module covers: Severe plastic deformation, materials properties and characterisation; Advances in Machining including the machining of hard materials, high-speed machining, precision grinding technology; ultra precision diamond turning and grinding technology; Principles and practice of Layered Manufacturing; Advanced Surface Engineering including physical-chemical functionalisation, electro-deposition, CVD, PVD, tools/mould treatment, nano- and multi-layered coating.

At the end of this module students will be able to:

  • Describe processes of materials selection, characterisation, ultra-precision machining, rapid prototyping and advanced surface engineering
  • Demonstrate know-how on key processing parameters and show numerical and analytical skills relating to the materials and process selections and parameter setting
  • Identify key process parameters/variables in relation to process control and product quality
  • Specify machines or manufacturing systems for the manufacture/creation of specified products/models or to propose design solutions for a manufacturing machine/system to address the manufacturing requirements identified

Assessment and feedback is in the form of four pieces of coursework (25% each).

Advanced Microcontroller Applications
Provide advanced competence in the use of industry standard microcontrollers programmed in low and high level languages in real time applications.
Image & Video Processing
To provide an introduction to the techniques relevant to digital images and video.
This includes techniques both to process images and video and also to efficiently compress and communicate them.
The class will give you a comprehensive understanding of various image and video processing and coding standards. You'll also study some key applications of these standards.
Control Principles (20 credits)

This module aims to introduce the basic concepts, mathematical tools and design methods of classical control theory. It also introduces students to advanced control methods and provides a basic understanding of a time-domain approach to control analysis and the design of industrial processes.

The module covers: First and second order systems, delay process, simple saturation models; Simulation tools such as GUI, SIMULINK, MATLAB; Control system performance, transient and steady-state figures of merit, time domain step response, reference tracking and disturbance rejection in time domain; Simple control principles; State space representation of linear systems; Continuous time and discrete-time system fundamentals: eigen-values & eigen-vectors, stability, controllability & observability, canonical forms for systems; State-space control methods: pole placement state feedback control with/without observer design and linear quadratic optimal control.

At the end of this module students will be able to:

  • model simple systems with transfer function and state space representation, create simulations using MATLAB and Simulink
  • analyse linear open loop and closed loop systems both in frequency and time domain
  • understand the theoretical and practical implications of feedback control systems, design control systems using simple PID tuning methods
  • assess control performance, make analytical calculations and critical evaluation of control performance-related metrics
  • apply and understand the advanced control methods, principles and applications in an industrial context

Assessment and feedback is in the form of a coursework and class test in Semester 1 (15%), a project report (15%) and exam (70%) in Semester 2.

Advanced Digital Signal Processing
Develop the necessary skills that will allow you to analyse, design, implement and simulate advanced DSP techniques and algorithms for a variety of communications and general engineering problems.
Embedded Systems Design

This class provides hands-on experience in translating Digital Signal Processing concepts into real-time embedded systems applications.

Through a combination of lectures, up-to-date technical discussions and hardware programming, you'll learn to design and implement real-time embedded systems through familiarisation with Digital Signal Processors and FPGAs. 

Design Management (10 credits)

This module provides a structured introduction to the Design Management process, issues and tools.

The module covers: Different approaches and aspects to design development including concurrent engineering, team engineering, product management, design management, distributed design, and decision support, the design activity, methods and process models including role of the market, specification, conceptual and detail design, basic team and management structures (organisation), key issues related to design complexities and the key aspects of design coordination, design performance and innovation.

At the end of this module students will be able to:

  • Appreciate and understand the role of design within an organisation and the organisational structures required for effective design by articulating the impact of early product delivery with regards to quality, cost and market sales and by describing the different main organisational structures and their impact on the design activity
  • Appreciate the role of design models, approaches and methods by appreciating of the different strengths and weaknesses of models, approaches and methods
  • Appreciate the role of innovation in design and know how to measure design performance by highlighting the key factors in design performance and how they relate as well as the nature and different types of innovation in relation to design

Assessment and feedback is in the form of coursework (100%), there will be no exam.

Knowledge & Information Management for Engineers (10 credits)

This module aims to give students an understanding of the types of knowledge, techniques and systems used in building knowledge-based systems and discussion on the application of these techniques; and, an understanding of the types of different approaches, techniques and systems used in building information-based systems.

The module covers an introduction to knowledge based systems; knowledge representations; reasoning, chaining and searching and an introduction to information systems; information input and retrieval; information modelling process and techniques; information normalisation; visual modelling; information structure and organisation; and integration of information systems.

At the end of this module students will be able to:

  • Demonstrate an understanding of Knowledge and Information Management
  • Demonstrate an understanding of Knowledge Models and Methods
  • Demonstrate an understanding of Knowledge Engineering and Development Processes
  • Design, develop, implement and report on an appropriate information system to meet the identified information requirements

Assessment and feedback is in the form of group coursework (50%) and individual coursework (50%), there is no exam

Summer (June to September)

MSc Research Project / Internship

The aim of the research project is to provide you with an opportunity to bring your knowledge and skills together and deploy them in a significant practical investigation, using relevant engineering literature, and where relevant, initial experiments or simulations.

Learning & teaching

We use a blend of teaching and learning methods including interactive lectures, problem-solving tutorials and practical project-based laboratories.

Our technical and experimental officers are available to support and guide you on individual subject material. Each module comprises approximately five hours of direct teaching per week.

To enhance your understanding of the technical and theoretical topics covered in these, you're expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.

The teaching and learning methods used ensure you'll develop not only technical engineering expertise but also communications, project management and leadership skills.

Assessment

A variety of assessment techniques are used throughout the course. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.

Assessment of the summer research project consists of four elements, with individual criteria:

  1. Interim report (10%, 1,500 to 3,000 words) – The purpose of this report is to provide a mechanism for supervisors to provide valuable feedback on the project’s objectives and direction.
  2. Poster Presentation (15%) – A vital skill of an engineer is the ability to describe their work to others and respond to requests for information.  The poster presentation is designed to give you an opportunity to practise that.
  3. Final report (55%) – This assesses the communication of project objectives and context, accuracy and relevant of background material, description of practical work and results, depth and soundness of discussion and conclusions, level of engineering achievement and the quality of the report’s presentation.
  4. Conduct (20%) - Independent study, project and time management are key features of university learning. The level of your initiative & independent thinking and technical understanding are assessed through project meetings with your supervisor and your written logbooks.

Entry requirements

A first or good second-class UK Honours degree or equivalent overseas qualification in electronic, electrical, communications or design manufacture engineering, or a science-related subject from a recognised academic institution.

Candidates whose first language is not English or who have not undertaken their undergraduate course in the UK must possess a recent UKBA-recognised English qualification.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course held at the University of Strathclyde International Study Centre, for international students (non EU/UK) who do not meet the academic entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

Upon successful completion, you will be able to progress to this degree course at the University of Strathclyde.

Fees & funding

2019/20

All fees quoted are for full-time courses and per academic year unless stated otherwise.

Scotland/EU

  • £8,100

Rest of UK

  • £9,250

International

  • £20,050

How can I fund my course?

Students are eligible for a range of scholarships offered by the Departments, University and external organisations. View our scholarship search for more information.

Faculty of Engineering Excellence Scholarship (FEES) for International Students

If you're applying for an MSc course you'll be eligible to apply for a Faculty of Engineering Excellence Scholarship offering up to £3,000 towards your tuition fees.

The scholarship is available for application to all self-funded, new international (non-EU) fee paying students holding an offer of study for an MSc programme in the Faculty of Engineering at the University of Strathclyde. Please note you must have an offer of study for a full-time course at Strathclyde before applying.

You must start your full-time MSc programme at Strathclyde in the coming academic year (2019-20).

Scottish and non-UK EU postgraduate students

Scottish and non-UK EU postgraduate students may be able to apply for support from the Student Awards Agency Scotland (SAAS). The support is in the form of a tuition fee loan and for eligible students, a living cost loan. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

Students coming from England

Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

Students coming from Wales

Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

Students coming from Northern Ireland

Postgraduate students who are ordinarily resident in Northern Ireland may be able to apply for support from Student Finance Northern Ireland. The support is a tuition fee loan of up to £5,500. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

International students

We have a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.

Please note

The fees shown are annual and may be subject to an increase each year. Find out more about fees.

Careers

Job titles include:

  • Graduate controls engineer
  • Graduate software engineer
  • Lecturer
  • Roboticist
  • Data analytics programmer

Employers include:

  • Xilinx
  • Texas Instruments
  • MathWorks
  • Leonardo
  • Siemens
  • Jaguar/Land Rover

Contact us

Apply

Autonomous Robotic Intelligent Systems

Qualification: MSc, Start date: Sep 2019, Mode of delivery: attendance, full-time

Autonomous Robotic Intelligent Systems NCEPU

Qualification: MSc, Start date: Sep 2019, Mode of delivery: attendance, full-time

Autonomous Robotic Intelligent Systems SUEP

Qualification: MSc, Start date: Sep 2019, Mode of delivery: attendance, full-time

Discover more about Strathclyde

Life in Glasgow

We're one of Europe's most vibrant cities. Voted the ‘friendliest city in the world’ in the Rough Guide in 2016, we're also named a must-visit destination in the New York Times, The Guardian and Wanderlust.

Glasgow at Night - Clyde, Crane, Armadillo, Hydro

Department of Electronic & Electrical Engineering

Find out more about studying with us.

Colourful circuit

Electronic & electrical engineering - our research

Delivering pioneering research with industrial, social and economic impact.

Fibreoptics

Design, manufacture & engineering management - our research

We're focused on 'Delivering Total Engineering' through excellent research in advanced design and manufacturing.

Design, manufacture & engineering management, student

Department of Design, Manufacture & Engineering Management

We're focused on 'Delivering Total Engineering' through research excellence, effective industrial partnerships and creative engineering education.