Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from United States living in United States interested in Undergraduate courses

Intelligent Systems and Robotics MSc/PG Dip/PG Cert

De Montfort University

Add to favourites

Course options

  • Qualification

    MSc - Master of Science

  • Location

    De Montfort University

  • Study mode

    Full time

  • Start date

    SEP-22

  • Duration

    1 year

Course summary

Overview

Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.  

You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.

Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.

Key features

  • This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
  • Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
  • The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
  • Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
  • Take advantage of our AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
  • Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.

Teaching and assessments

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Graduate Careers

Working at the cutting-edge of artificial intelligence (AI) is enriching Nontawat Pattanajak’s research and studies at De Montfort University Leicester (DMU).

Tuition fees

Students living in United States
(international fees)

£ 15,600per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

De Montfort University

  • University League Table

    110th

  • Campus address

    De Montfort University, The Gateway, Leicester, Leicestershire, LE1 9BH, England

Subject rankings

  • Subject ranking

    91st out of 114 32

  • Entry standards

    / Max 236
    106 45%

    98th

    2
  • Graduate prospects

    / Max 100
    74.0 74%

    75th

    26
  • Student satisfaction

    / Max 5
    3.55 71%

    102nd

    29

Suggested courses

University of Salford
SIMILAR RANKING

Master by Research (MSc) - Robotics and Systems Engineering

University of Salford

Computer Science league table

88
University of Salford
MOST VIEWED

PhD Robotics and Systems Engineering

University of Salford

University league table

84

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!