Intelligent Systems and Robotics MSc/PG Dip/PG Cert

Postgraduate

In Leicester

£ 8,170 VAT inc.

Description

  • Type

    Postgraduate

  • Location

    Leicester

  • Duration

    1 Year

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.

Facilities

Location

Start date

Leicester (Leicestershire)
See map
The Gateway, LE1 9BH

Start date

SeptemberEnrolment now closed

About this course

You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.

We are happy to consider equivalent qualifications from anywhere in the world.

If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. English Language tuition, delivered by our British Council accredited Centre for English Language Learning, is available both before and throughout the course if you need it.

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.
You will have access to our dedicated Advanced Mobile Robotics and Intelligent Agents Laboratory which contains a variety of mobile robots including the Lynxmotion Hexapod robot, TurtleBots and LEGO MINDSTORMS EV3 kits, providing excellent resources for teaching and research.
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.

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 15 years

Subjects

  • Options
  • Computing
  • Software Engineering
  • Artificial Intelligence
  • Networks
  • IT
  • Logic
  • Project
  • Systems
  • Industry
  • Engineering
  • Programming
  • Computational

Course programme

Semester 1:
  • Computational Intelligence Research Methods details quantitative and qualitative approaches including laboratory evaluation, surveys, case studies and action research.
  • Fuzzy Logic considers the various fuzzy paradigms that have become established as computational tools.
  • Natural Language Processing focuses on Natural Language Processing (NLP) using Python. It uses NLTK and Pytorch. NLTK is a leading platform for NLP which provides a number of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries. Pytorch provides access to deep learning function which can be applied to NLP problems.
  • Mobile Robots discusses the hardware and software architectures used to build mobile robot systems.
Semester 2:
  • Computational Intelligence Optimisation (CIO) is a subject that integrates artificial intelligence into algorithms for solving optimisation problems that could not be solved by exact methods. Thus, CIO is the subject that defines and designs metaheuristics, i.e. general purpose algorithms. This makes CIO the subject that tackles optimisation problems in engineering, economics, and applied science
  • Artificial Neural Networks and Deep Learning appraises neural network computing from an engineering approach and the use of networks for cognitive modelling.
  • Applied Computational Intelligence considers knowledge-based systems; the historical, philosophical and future implications of AI; then focuses on current research and applications in the area
  • Intelligent Mobile Robots covers sensing, representing, modelling of the environment, adaptive behaviour and social behaviour of robots. OR
  • Data Mining, Techniques and Applications examines the tools and techniques needed to mine the large quantities of data generated in today’s information age. It provides practical experience as well as consideration of research and application areas

Summer:

  • Individual Project provides the opportunity to demonstrate skills acquired from the course in a problem solving capacity. This typically involves the analysis, design and implementation of a computer system.
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.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

Additional information

Programme code: G70071
For 2021/22 entry, part-time fees will be £680 per 15 credits.

Intelligent Systems and Robotics MSc/PG Dip/PG Cert

£ 8,170 VAT inc.