MSc Advanced Control and Systems Engineering

1 Year On Campus Masters Program

The University of Sheffield

Program Overview

This MSc(Eng) immerses students in designing, modelling and optimising complex engineering systems – from robotic platforms to large-scale industrial automation. It’s ideal for someone who enjoys hands-on engineering, strong mathematics and wants to work at the interface of hardware, algorithms and real-world systems.

Curriculum structure:
Since this is a one-year full-time programme, the structure is best described in phases rather than years.

Phase 1 (Core taught modules):
Early in the year students build foundational skills: modules such as Foundations of Control Systems cover system modelling, simulation, control system analysis and introduction to MATLAB and digital control. Alongside this, students engage with Optimisation and Signal Processing which deals with theory and methods of optimisation (including heuristic methods) and signal processing for time and frequency domain analysis.

Phase 2 (Advanced specialist modules):
Students then progress to more advanced topics like Modern Control & System Identification (state-space methods for multivariable systems, system identification techniques) and Advanced Control (advanced controller design, noise/disturbance rejection, stability under constraints). Optional modules allow further specialisation: for example Industrial Automation (working with sensors, PLCs, automation hardware) or Cybersecurity for Control Systems, Multisensor and Decision Systems.

Phase 3 (Project / individual research):
Finally, the programme culminates in a major individual project (Control Systems Project and Dissertation) worth around 60 credits where students independently apply their learning to a real-engineering challenge—often industry-linked.

Focus areas: “System modelling & simulation; optimisation & signal processing; advanced control methods & system identification; industrial automation & control hardware; multi-sensor decision systems.”

Learning outcomes: “Design and analyse modern control systems; apply optimisation and signal processing to system challenges; work with hardware/software platforms (e.g., PLCs) and system identification techniques; lead an individual engineering project that addresses a real-world systems engineering problem.”

Professional alignment (accreditation):
The programme is accredited by the Institution of Engineering and Technology (IET) and the Institute of Measurement and Control (InstMC) on behalf of the UK Engineering Council, making it a recognised further-learning path toward Chartered Engineer (CEng) status.

Reputation (employability rankings):
While the programme does not publish a standalone ranking, the School of Electrical & Electronic Engineering at Sheffield has an excellent research and industry reputation. Students from this course have gone on to roles at companies such as Siemens, Arm, Ford Motor Company, Huawei in sectors like advanced manufacturing, automation, and control systems engineering.

Experiential Learning (Research, Projects, Internships etc.)

This one-year, full-time programme is designed to immerse students in modern control and systems engineering. From day one, students engage with tools such as MATLAB and programmable logic controllers (PLCs), modelling, simulation and optimisation techniques, and work on real-industrial automation challenges. The department’s strong research base and industry links mean you’ll not only learn theory but apply it: troubleshooting real systems, designing controllers, processing signals, and working with multidisciplinary teams. The large individual research project gives you the chance to take ownership of a problem—selecting, designing, implementing and testing a system under supervision, often aligned with industry or research centre themes.
Here’s how that plays out:

Industry-standard software & hardware platforms: Students explicitly use MATLAB and PLCs as part of the course’s practical skillset.
Modules reflecting real system design: Core modules include Foundations of Control Systems, Optimisation and Signal Processing, Modern Control & System Identification, Advanced Control and Industrial Automation.
Individual Research Project / Dissertation: You’ll undertake a 60 credit project, under academic supervision, applying your knowledge to a specific control/system engineering challenge—designing, implementing, testing and presenting results.
Optional industrial-oriented modules / team projects: You can elect modules such as Industrial Training Programme (ITP) in Advanced Manufacturing (working with an industrial partner), or Cybersecurity for Control Systems, Optimal Control.
Lab work, tutorials and hands-on tasks: The teaching includes laboratory work, tutorials and individual assignments — not just lectures.
Strong research & industry linkages: The department is affiliated with research centres such as the Insigneo Institute and has an Industrial Advisory Board that helps ensure graduates are job-ready.
Multidisciplinary systems focus: The programme emphasises modelling, optimisation, signal classification, automation and system behaviour across domains — you might work on control-systems for aerospace, manufacturing, energy or robotics.

Progression & Future Opportunities

Graduates of the MSc(Eng) Advanced Control and Systems Engineering at University of Sheffield are well placed to take up technical and leadership roles in automation, control systems, embedded systems and multidisciplinary engineering domains: typical roles include control systems engineer, automation specialist, systems-integration engineer and operations optimisation engineer.

Progression & Future Opportunities:

University employment support services:
- The University of Sheffield’s Careers & Employability Service offers one-to-one career consultations, workshops on CVs, interview skills and employer networking events for engineering postgraduates.
- Within the School of Electrical & Electronic Engineering, students benefit from industry guest lectures, connections with an Industry Advisory Board and access to practical lab facilities and student engineering teams (for example ‘MarsWorks’, ‘SunrIde’).
Employment routes and employer track record:
- Graduates of this programme have secured roles at leading companies including Siemens, Tesla, Amazon, Huawei, and Intel, working in advanced manufacturing, automation systems, robotics and industrial control.
University–industry partnerships and research strengths:
- The programme is shaped by active research centres such as Sheffield Robotics and the Rolls-Royce University Technology Centre; teaching is kept current through guidance from the Department’s Industrial Advisory Board.
- Modules cover real-world tools such as MATLAB, PLCs (Programmable Logic Controllers), industrial automation hardware and control system design for multi-discipline systems.
Long-term accreditation value:
- The MSc(Eng) is accredited by the Institution of Engineering and Technology (IET) and the Institute of Measurement and Control (InstMC) with respect to the UK Engineering Council’s requirements — meaning the qualification supports progression to Chartered Engineer (CEng) status.
Graduation outcomes:
- On graduation, students will have advanced expertise in modelling, optimisation, signal processing, system identification, control and automation of complex systems.
- They leave equipped for roles in sectors such as automotive control, aerospace systems, energy systems automation, smart manufacturing and robotics — enabling flexibility and strong technical value.

Further Academic Progression:
After completing this MSc(Eng), graduates could move on to a PhD in Control Systems, Systems Engineering or Automation Technologies, leveraging Sheffield’s research strengths. Alternatively, they may pursue specialist postgraduate certificates or diplomas in emerging areas such as autonomous systems, cyber-physical systems, or industrial digitalisation, or follow the professional pathway towards full Chartered Engineer (CEng) status via the IET/InstMC accreditation.