Taught course

Intelligent Systems and Robotics

Institution
University of Essex · School of Computer Science and Electronic Engineering
Qualifications
MSc

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Entry requirements

A 2.2, or international equivalent, in Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering, Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics or Physics.

Graduates of Computer Science; Computer Engineering; Computer Networks; Computer Games; Computing; Software Engineering must have studied :

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other computing related module (e.g. Database, Web development, Software engineering, Operating system, Computer architecture; Computer systems etc.).

Graduates of Electronic Engineering; Electrical Engineering; Telecommunication Engineering; Automation; Mechatronic Engineering; Mathematics; Physics must have studied:

ONE programming module (e.g. C, C#, C++, Java, Python, Object Oriented programming, Advanced Programming).

ONE maths module (e.g.Mathematics; Calculus; Algebra; Differential Equations).

and ONE other math module (e.g. Mathematics, Calculus, Algebra, Differential Equations, Probability and statistics, Signals and systems, Control theory, Control systems, Computer systems, Embedded systems, Microprocessors).

Months of entry

October

Course content

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including:

  • The principles by which sensed data are converted into useful information
  • The practical aspects of developing intelligent and robotic systems
  • Biologically-inspired robots
  • Biometrics
  • Computational intelligence

Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.

Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air. Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system. More than two-thirds of our research is rated ‘world-leading’ or ‘internationally excellent' (REF 2014).

This course is available on a full- and part-time basis, starting in October.

Information for international students

Entry requirements - You can find international entry requirements for most countries on our webpage www.essex.ac.uk/international. If your country is not listed, please contact Postgraduate Admissions at pgadmit@essex.ac.uk.

Pre-sessional English Language courses -
If you need to improve your English language skills before joining your main degree course, we offer pre-sessional English courses on our campuses in partnership with Kaplan International Pathways. To learn more, please visit www.essex.ac.uk/international/pre-sessional.

Funding -
You can explore scholarship opportunities for your country at www.essex.ac.uk/international or view our university-wide scholarships at www.essex.ac.uk/scholarships.

Fees and funding

There are a wide range of funding options for postgraduate study, including scholarships, bursaries and alumni discounts. You can check your eligibility at www.essex.ac.uk/postgraduate/masters/fees-and-funding.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmit@essex.ac.uk