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Systems and Control Engineering  MSc

Overview

Students on this course explore recent major technological developments in industrial control and the emerging areas of complex systems, where the main driver is the reduction of complexity in design. The course emphasises concepts and methods which enable solutions to problems of an interdisciplinary nature.

Systems and control engineering are fundamental disciplines in all advanced technology areas, including processes engineering, manufacturing, aerospace and transport, energy, biomedical, embedded systems and environmental engineering, and in fields such as national utilities, finance, management and the emerging and fields of complex systems

This exciting course focuses on the topical areas in the world of systems and control. The programme is suitable for engineers, mathematicians and applied scientists who wish to develop a specialised knowledge in the areas of Systems and Control. The syllabus covers the fundamentals in systems, modeling, control, optimisation and optimal control, linear and non-linear systems, control systems design and complex systems and demonstrates their relevance to challenging technological domains and non-traditional decision-making applications in the areas of Operations Research, Management, and Finance.

Scholarships and bursaries

The School offers generous scholarships for this course:



Entry Requirements:

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.  More...

Course Fees:

  • Full-time EU: £9,000 (2014/15 fee; 2015/16 TBC)
  • Part-time EU: £4,500 per year (2014/15 fee; 2015/16 TBC)
  • Full-time Non EU: £14,000 (2014/15 fee; 2015/16 TBC)
  • Part-time Non EU: £7,000 per year (2014/15 fee; 2015/16 TBC)
More...

Start Date:

Autumn 2015

How to Apply

Entry Requirements

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.

English Requirements

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.

Visa Requirements

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.  

The way that you apply may vary depending on the length of your course at City, 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 this part-time course.

For more information see our main Visa page.

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.

Course Structure

Modules include:

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 technology
  • 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 at the forefront of their technological field.

Read the full programme specification

Teaching and Assessment

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. Much support is given to students, part time and full time, with their preparation for the modules and in their project work.

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 PT 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 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.

Learning Outcomes

Participants will gain knowledge of the fundamentals including modelling, optimisation, signal processing, non-linear systems, advanced control techniques and an exposure to challenging problems of emerging complex systems engineering applications.

Summary of Content

  • Systems Modeling
  • Mathematical Methods for Systems Signals, Control and Information
  • 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.

Fees

  • Full-time EU: £9,000 (2014/15 fee; 2015/16 TBC)
  • Part-time EU: £4,500 per year (2014/15 fee; 2015/16 TBC)
  • Full-time Non EU: £14,000 (2014/15 fee; 2015/16 TBC)
  • Part-time Non EU: £7,000 per year (2014/15 fee; 2015/16 TBC)

Funding

For up-to-date information about tuition fees, living costs and financial support, visit Postgraduate Fees and Finance.

Scholarships and bursaries

The School offers a range of generous scholarships and bursaries to applicants for this course:

Career Prospects

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.

About the School and Department



Applications for 2015 will open shortly.