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Robotics MSc

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Overview

An MSc in Robotics will allow you to gain specialist knowledge relating to robotics and automation applications. A multi-disciplinary programme that explores the integration of mechanical devices, sensors, electronics and intelligent computer-based controllers. Delivered by the Department of Informatics, which has an enviable reputation for research-led teaching and project supervision from leading experts in their field.


  • Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, the Institution of Engineering and Technology and the Institution for Mechanical Engineers (IMechE).
  • Graduates gain experience of designing robotic devices to provide smart engineering solutions.
  • Access to speakers of international repute through seminars and external lectures, enabling students to keep abreast of emerging knowledge in intelligent systems and related fields.
  • Research-led individual project supervised by leading experts in their fields.

Key information

Application status Open

Duration One year FT, September to September.

Study mode Full-time

Credit value UK 180/ECTS 90

Course intake Approximately 25 FT.

Course leaders Dr. Mike Spratling

Course contact for further information

Postgraduate Admissions Team, Admissions Office tel: +44 (0) 20 7848 7000 fax: +44 (0) 20 7848 7200

Course contact form Postgraduate admissions enquiry form

Awarding institution King's College London

Faculty Faculty of Natural & Mathematical Sciences

Department Department of Informatics

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Entry requirements & how to apply


Visit our admissions webpages to view our English language entry requirements.

Bachelors degree with 2:1 honours degree (or international equivalent) in mechanical engineering (or other relevant subject e.g. physics, mathematics, electrical engineering). 

We also welcome international, professional or occupational qualifications and assess them on an individual basis.

Application procedure

Applications must be made online using King's online application portal and a non-refundable application fee of £50 applies. Your application will be reviewed by an academic tutor and we aim to respond to applications within four to six weeks, although this may take longer during busy and holiday periods.

Personal statement and supporting information

Please include transcripts of subjects taken in the relevant degrees and copies of all certificates and relevant qualifications mentioned in your application.

Application closing date

The deadline for applications for September 2017 entry is 31st March 2017. After this date, programmes will remain open if places are available, and programmes will be closed as soon as they are full, so we encourage you to submit your application as soon as possible. For programmes with spaces remaining, no further applications will be accepted from non-EU (Overseas) nationals after 30th July 2017 or from UK/ EU nationals after 3rd September 2017.

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Course detail

Description

Robotics is a multi-disciplinary activity dealing with the integration of mechanical devices, sensors, electronics and ‘intelligent’ computer-based controllers. The programme is therefore built around core modules such as Robotic Systems, Computer Vision, Sensors and Actuators, Real Time Systems and Control, which are complemented by a wide range of optional modules. The final part of the programme is an individual project that is closely linked with the Department’s research activities.

Course purpose

For graduates in engineering or a related scientific discipline, from this programme you will gain an awareness of the latest developments in Robotics while completing research and development work for your individual research project. This will provide valuable preparation for a career in research or industry.

Further literature

https://www.kcl.ac.uk/study/postgraduate/apply/enquiry-form.aspx

Course format and assessment

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

The following table will give you an idea of what a typical academic week might look like during term time:

Lectures, seminars & feedback

Self-study

25%

75%

 

You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.

 

Lectures, seminars, self-study and feedback

Per 15-credit taught module

150 hours

Dissertation module

600 hours

 

Assessment

Assessment methods will depend on the modules selected. The primary methods of assessment for this course are written examinations and coursework. You may also be assessed by practical laboratory examinations, laboratory reports and oral presentations.

Examination

Coursework

Practical

55%

45%

-

Structure

  • Required Modules

    • Individual research project and Dissertation (60 credits)
    • Computer Vision (15 credits) *
    • Sensors and Actuators (15 credits)
    • Robotic Systems (15 credits)
    • Real Time Systems & Control (15 credits)

    Optional Modules

    • Artificial Intelligence (15 credits) *
    • Agents and Multi-Agent Systems (15 credits) *
    • Advanced Research Topics (15 credits)
    • Fundamentals of Digital Signal Processing (15 credits)
    • Biologically Inspired Methods (15 credits)
    • Distributed Systems (15 credits) *
    • Group Project (15 credits)
    • Optimisation Methods (15 credits) *
    • Pattern Recognition (15 credits) *
    • Topics on Data and Signal Analysis (15 credits)

     *These modules are not available if you have previously studied in the Department of Informatics and have already taken this module at Level 6.

    Advanced Research Topics
    Agents & Multi-Agent Systems
    Artificial Intelligence
    Distributed Systems
    Group Project
    Optimisation Methods
    Pattern Recognition
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Career prospects

Via the Department’s Careers Programme students are able to network with top employers and obtain advice on how to enhance career prospects. Our graduates have gone on to have very successful careers in industry and research, working areas such as manufacturing, automotive and aerospace. Recent employers include Cummins Inc. and Transport Alstom. 

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Fees and funding

Full time tuition fees - Home/EU

£9,450 p.a. (2017/18)*

Full time tuition fees - Overseas

£22,800 p.a. (2017/18)*

Part time tuition fees - Home/EU

N/A

Part time tuition Fees - Overseas

N/A

*These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

Please note: Current regulations allow some students to pay UK tuition fees on the basis of their EU citizenship or residency. Until these eligibility criteria are changed, the EU tuition fee will remain the same as the UK tuition fee. 

Deposit                                                   

When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place. The deposit will be credited towards your total fee payment.

The UK/EU deposit is £500.

The INTERNATIONAL deposit is £2,000. 

  • If you receive an offer on or before 31st March 2017, payment is due by 30th April 2017.
  • If you receive an offer between 1st April 2017 and 30th June 2017, payment is due within one month of receiving the offer.
  • If you receive an offer between 1st July 2017 and 31st July 2017, payment is due within two weeks of receiving the offer.
  • If you receive an offer on or after 1st August 2017, payment is due within one week of receiving the offer.

 Please visit our web pages on fees and funding for more information.

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