Systems and Control Engineering MSc

City University London
Course summary
1-2 years
9,000 GBP
Full time/part time
Next available date: September 2020 - London

Course description

Systems and Control Engineering MSc

Systems and Control Engineering MSc - a City University degree programme

Systems and Control Engineering are crucial concepts in areas of modern engineering and management processes including processes engineering, manufacturing, aerospace and transport, energy, biomedical, embedded systems and environmental engineering. These concepts are applicable in other fields such as national utilities, finance and management.

The course explores recent and major technological developments in industrial systems and control. Students will be able to examine emerging areas of complex systems and designs used in decision-making.

Some important concepts covered in the course include modern developments within Systems, Modelling, Control Systems Design, and Optimisation Nonlinear Control. Complex Systems are also covered in the course.

Suitability - Who should attend?

Applicants should hold a lower second class honours degree or the equivalent from an international institution in an acceptable scientific area, including mathematics or physics, or an engineering discipline including engineering management.

Relevant industrial experience is also considered, but is not essential.

Other Suitable Qualifications

INTO Postgraduate preparation Programmes

If you do not qualify for direct entry, our partner INTO City University London offers academic preparation programmes which focus on the skills you need. Successful completion of the Graduate Diploma in Science and Engineering at INTO City University London means guaranteed progression to this degree.

Kaplan International College (KIC) London

Additionally, the University works in partnership with KIC London to provide preparatory courses for international students. Foundation and Pre Masters courses at KIC London offer comprehensive support to students including regular one-to-one tuition. Progression to the University is guaranteed if you complete the KIC London course at the required level.

For those students whose first language is not English, the following qualification is also required:

  • IELTS: 6.5 in all categories

INTO English Language Programmes

If you need to improve your English language skills before you enter this course, our partner, INTO City University London offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree. Please click the links below for more information.

English for Postgraduate Study

Pre-sessional English

Please note that due to changes in the UKVI's list of SELTs we are no longer able to accept TOEFL as evidence of English language for students who require a CAS as of April 2014.

If you are not from the European Economic Area / Switzerland and you are coming to study in the UK you may need to apply for a visa or entry clearance to come to the UK to study. /p>

The way that you apply may vary depending on the length of your course; there are different rules for:

  • Students on courses of more than 6 months
  • Students on courses of less than 6 months
  • Students on a pre-sessional English Language course

Please note: If you require a Tier 4 student visa to study in the UK, you cannot undertake any City University London courses on a part-time basis.

Outcome / Qualification etc.

Systems and Control Engineering are fundamental disciplines in all advanced technology areas including processes engineering, manufacturing, aerospace and transport, energy, biomedical, environmental engineering, as well as in fields such as national utilities, finance, management and the emerging fields of complex systems. Career opportunities exist for graduates in all these areas.

There are opportunities for further studies by research leading to PhD after the MSc studies, and Many of the research projects offered for dissertations may be extended for PhD research within the closely affiliated Systems and Control Research Centre.The Centre has more than 40 research students and 30 Phds were awarded in the last 6 years.

Training Course Content

The course draws on the knowledge and experience of leading experts and active researchers of the Systems and Control Research Centre of City University London.

The program is supported by research in Control Theory and Design, Complex Systems, Optimisation, Machine Vision and Information Engineering, Networks, Risk, Reliability and Systems Assurance, and Mathematical Systems Theory and Computations. This research provides topics for the MSc dissertations and opportunities for further research leading to PhD.

A number of industrially-sponsored projects are also available and may be offered to students after the successful completion of an interview.

Core modules:

  • Introduction to Control
  • Optimisation and Stochastic Modelling
  • Systems Modeling
  • Linear and Non-linear Systems
  • Optimal Control
  • Research Skills and Techniques
  • Individual Project.

Elective modules:

  • Signals and Information theory
  • Digital Signal Processing
  • Industrial Control
  • Advanced Control Systems Design
  • Linear Programming and Decision-making
  • Financial Engineering and Planning.

Completion of modules and examinations will lead to the award of a Diploma. The completion of modules, examinations and a dissertation will lead to the award of a Masters degree.

The dissertation is developed in close collaboration with research groups within the Systems and Control Research Centre, as well as other groups in the School and projects carried out in collaboration with Industry.

The programme consists of 6 compulsory taught modules, 6 elective modules (of which 3 should be chosen) plus a dissertation. Only certain combinations of compulsory and elective modules are possible.

Modules are taught on Mondays and Fridays over ten weeks with the exception of two elective modules (one each term) which are taught in blocks over four consecutive (full) days. Exams take place at the end of first and second term and the dissertation work is completed during the summer term. The course format allows full-time and part-time study.

Students are supported in their work via examples classes, tutorials, supervised lab sessions and individual project supervision.

Full-time students complete the programme in 12 months and are expected to devote a significant part of their non-taught hours to laboratory work, project work, development of research skills as well as private study.

The course format makes the programme attractive to those who wish to study part time while retaining full-time jobs. In the first year, part-time students attend the courses of the first and second term offered on Mondays, whereas second year part-time students attend the Friday lectures.

Alternatively, if a part-time students chooses a block-taught module as an elective in Term 1 and/or 2, attendance is required for half a day per week (morning or afternoon) over 10 weeks, plus one additional full week during the corresponding term. The duration of a part-time programme is two years (this may be extended to three years in order to cater for individual circumstances).

Aims of the Programme

The overall aims of the programme are the advanced education of engineers, mathematicians and applied scientists (including Engineering Management scientists) intending to develop a rich knowledge of Systems & Control and the development of expertise, which will enable you to handle problems in complex systems engineering.

Teaching and Learning Strategy

The teaching and learning strategy is based on lectures, supported wherever appropriate by coursework. Assessment for the taught elements of the programme is based on coursework and written examinations.

Integral part of the teaching and learning strategy is the laboratory work. Each module has an associate laboratory component. The new Postgraduate MSc Laboratory of the School provides a number of experimental facilities that demonstrate the different aspects of the taught modules with an experimental component.

Learning Outcomes

Participants will gain knowledge of the fundamentals including Modelling, Optimisation, Signal Processing, Non-linear Systems, Advanced Control Design techniques and an exposure to challenging problems of emerging Decision-making under uncertainty and Complex Systems engineering applications.

Summary of Content

  • Systems Modeling
  • Optimisation, Stochastic Modelling and Decision Making
  • Advanced Control Systems Design
  • Systems Theory: Linear, Non-linear and Stochastic systems
  • Optimization and Optimal Control
  • Industrial Control, Digital Signal Processing
  • Decision-making under uncertainty with applications in Engineering, Management and Finance.



  • Full-time EU: £9,000
  • Part-time EU: £4,500 per year
  • Full-time Non EU: £14,000
  • Part-time Non EU: £7,000 per year

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City University London

City University London

City, University of London is a special place. With skill and dedication, we have been using education, research and enterprise to transform the lives of our students, our community and the world for a hundred years. We are proud of...

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