MSc (SW) Artificial Intelligence with Robotics with Sandwich Placement

Available to non EU students

About the course

1/

The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. This MSc can lead to a career such as a designer of intelligent systems or in research.

This course is part of our Master's programme in Computer Science. For more information about the different course titles, visit our Programme Summary page. Here you can also download the Programme Prospectus as a PDF file.

Course structure

The MSc Artificial Intelligence with Robotics course consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). All modules are compulsory. The project is compulsory and has a modular value of 60. In order to obtain an MSc degree you must study and pass 120 credits of taught modules plus the project i.e. 180 credits in total.

Part I: Taught modules:

A student will complete a set of compulsory taught modules which are Professional Issues (15 credits), Investigative Methods for Computer Science (15 credits), Artificial Life with Robotics (30 credits), Neural Networks and Machine Learning (30 credits), and Theory and Practice of Artificial Intelligence (30 credits).

Part II: MSc Project

After completing the required credits of taught modules, the student may progress to the project.

Why choose this course?

  • This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.
  • One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Artificial Intelligence and Robotics
  • Advanced topics studied include artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence.
  • Taught by a highly-regarded and long-established computer science department.
  • Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014.

Entry requirements...

A recent, good bachelors degree (e.g. honours degree from the UK) or equivalent in Computer Science or closely-related subject. Plus IELTS 6.0 if your first language is not English.

Applicants who do not wholly meet these requirements, but who are considered to have the professional experience, motivation or potential to succeed at the programme, may also be accepted.

If you do not have the required level of English for entry, our academic English courses can help you to achieve this level.

Careers

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

This particular course will prepare you to take up a challenging job or to pursue further research in specific AI fields. Typical career opportunities include researcher or designer for intelligent systems.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for master's students.

In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

All our one year full time Computer Science Masters programmes are available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

They offer you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1

Core Modules

  • Professional Issues

    This module covers the relationship between technological change, society and the law, emphasising the powerful role that computers and computer professionals play in a technological society. It also covers the professional codes and UK laws which are relevant to the disciplines of computer science and information systems, and provides students with an understanding of important ethical concepts and dilemmas of relevance to computer professionals.

  • Investigative Methods for Computer Science

    Students working at, and beyond, Master’s level are expected to understand both generic and domain-specific investigative methods, and to be able to apply them in their work. This module explores a range of such methods and the uses to which they may be put, and helps students to enhance their proficiency in the skills that are expected of those working at postgraduate level. Whilst some material will be presented in lectures, the module will be largely literature- and activity-based. It will place strong emphasis on self-management and will encourage students to reflect upon, and learn from, their own work. As the module progresses students will be expected to select an increasingly large proportion of the reading matter for themselves, so that they can tailor their learning to their individual needs. Particular emphasis will be placed upon the development of skills in the planning and management of individual investigative projects.

  • Artificial Life with Robotics

    The overall aim of this module is to provide an in-depth study of a range of advanced ideas, theory, and techniques used in the construction of artificial life systems. The module will be oriented towards (1) the modelling of real-life biological systems and (2) the application of ideas and principles from biology and evolution to computer science in the areas of optimisation, intelligent agents, and engineering, and feedback back to the biological sciences. There is a large practical element to the module with the students gaining experience in developing artificial life models. A more detailed description of the module content is provided in the module delivery information for students.

  • Neural Networks and Machine Learning

    A study of a selection of research topics centered around neural network theory and design, machine learning including supervised and unsupervised learning and some interesting applications, for example, data mining, biocomputation, evolutionary algorithms, neural networks as models of brain function in health, disease and development, and data visualization. Actual topics taught may vary from year to year.

  • Theory and Practice of Artificial Intelligence

    The overall aim of this module is to provide an in-depth study of a range of ideas, theories and techniques used in the construction of artificial intelligence systems. The module will be oriented towards the creation of AI systems for tasks in the areas of intelligent modelling, problem-solving, learning, decision-making, reasoning, robot control and others. There is a large practical element to the module with the students gaining experience in developing artificial intelligence models. A more detailed description of the module content is provided in the module delivery information for students.

  • Preparation for Placement

    The module will explain the benefits of the Supervised Work Placement and encourage students to apply. It will support students in their application by informing them about the types of employer and job role available, helping them select the most appropriate for their strengths and weaknesses, and how employers conduct the recruitment process. The module will assist students to make an application, throughout the entire process, via a series of lectures, seminars, individual guidance and online communication. This includes writing of CVs and letters of application, preparation for psychometric and other forms of assessment, and development of interview technique. For those who are successful in securing a placement there will be further help in preparing for employment.

  • Professional Work Placement for MSc Computer Science

    Supervised work experience provides students with the opportunity to set their academic studies in a broader context, to gain practical experience in specific technical areas and to strengthen their communication and time-management skills. It greatly assists them in developing as independent learners, so that they will be able to gain maximum benefit from the learning opportunities afforded by their future study programme. It gives them opportunities, according to the nature of the placement experience, to acquire the basis of technical expertise in specialist areas, which they may be able to enhance through study after completion of the placement, especially in the final project.

Optional

Year 2

Core Modules

  • Artificial Intelligence with Robotics Masters Project

    The project is a showpiece opportunity for students to demonstrate what they know about current research and practices in AI or robotics and to select appropriate computational paradigms and make use of practical skills in the development of intelligent computing systems in order to conduct a practical investigation into an AI / robotics problem. The project is a self-directed piece of work, conducted with minimum supervision that demonstrates the student’s ability to plan and manage a substantial piece of work, and steer their own efforts. Students are expected to be thorough in their work, and, particularly, identify and tackle any difficult or challenging aspects of the problems they are trying to solve. It is not just the quantity, or even the quality of work that is considered when grading the project, but the level of difficulty and the scope of the problem being addressed.

  • Professional Work Placement for MSc Computer Science

    Supervised work experience provides students with the opportunity to set their academic studies in a broader context, to gain practical experience in specific technical areas and to strengthen their communication and time-management skills. It greatly assists them in developing as independent learners, so that they will be able to gain maximum benefit from the learning opportunities afforded by their future study programme. It gives them opportunities, according to the nature of the placement experience, to acquire the basis of technical expertise in specialist areas, which they may be able to enhance through study after completion of the placement, especially in the final project.

Optional

Fees & funding

Fees 2017

UK/EU Students

Full time: £8,150 for the 2017 academic year

International Students

Full time: £12,600 for the 2017 academic year

Discounts are available for International students if payment is made in full at registration

*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University’s Fees and Finance Policy (and in particular the section headed “When tuition fees change”), for further information about when and by how much the University may increase its fees for future years.

View detailed information about tuition fees

Additional course-related costs

There may be some additional costs or charges associated with studying on this course. These costs or charges may be compulsory (ie you have to pay them if you are studying this course) or they may be optional (ie you don’t have to pay them, but they may help you get the most out of your course).

Any such costs or charges will be outlined in the About your course factsheet that can be found on the course Overview page.

Other financial support

Find out more about other financial support available to UK and EU students

Living costs / accommodation

The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.

View detailed information about our accommodation

How to apply

2017

Start DateEnd DateLink
29/09/201718/09/2018Apply online (Full Time/Sandwich)
16/01/201830/09/2018Apply online (Full Time/Sandwich)

2018

Start DateEnd DateLink
29/09/201818/09/2019Apply online (Full Time/Sandwich)
16/01/201930/09/2019Apply online (Full Time/Sandwich)