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School of Computing

Advanced Computer Science (Intelligent Systems) MSc

Algorithms

Overview

This course offers both a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation with a thorough knowledge of the essential principles and practices used in the effective design, implementation and usability of intelligent
systems.

The course is rooted in the established research strengths of the School and will offer you the opportunity to gain an in-depth understanding of an area of specialisation during the main research project where you will work as an integral member of our research groups. You will apply your knowledge and skills to tackle a significant problem, which will prepare you for a graduate career in the IT industry or for further study.

The adoption of intelligent systems is increasing rapidly and varies from software agents used in networking systems to embedded systems in robots and unmanned vehicles to provide systems that can work unsupervised or to enhance human activities.

Course duration: Full-time, 12 months
Start date: September
Course fees: UK/EU: £10,000; International: £17,750
Scholarships: Scholarships worth up to £3,000 available.

Modules

The table below shows the modules that you will study if you commence your studies in September 2014. This information is taken from the University Programme Catalogue, which is a tool designed for current students to select modules.

If you are looking to start your studies in September 2015 this will give you a flavour of what you will study.

All of our MSc courses operate on a credit-based modular system. A standard module is typically worth 15 credits and the research project/dissertation is worth 60 credits. You are required to study 180 credits in total.

Compulsory modules Credits
Research Project 60
Systems Programming 15
Algorithms 15
Knowledge Representation and Machine Learning 15
   
Optional modules
(study at least 15 credits)
 
Bio-Inspired Computing 15
Data Mining and Text Analytics 15
Image Analysis 15
   
Optional modules
(study up to 60 credits)
 
Advanced Distributed Systems 15
Mobile Application Development 15
Cloud Computing 15
Semantic Technologies and Applications 15
Scientific Visualization 15
Scheduling 15
Scientific Computation 15
Graphic Theory: Structure and Algorithms 15

This is an indicative list and actual content may vary as we regularly review the content of our courses in light of new experiences and developments in the field.

Career options

Career options
In an era where computational resources are cheap and all-pervasive, intelligent systems, from those embedded in widely accessible web applications, through to specialised tools for finding near-optimal solutions to hard problems, are vital for companies seeking competitive advantage.

Graduates with strong foundations in the theory and practice of intelligent systems are employed across the computing industry and in research centres.

Career pathways are therefore extremely diverse, but might include: working in a small company designing and implementing web services that adapt to clients’ history and task; deploying tools for searching medical databases to understand better the success rate and side-effects of treatments; developing products that use video stream data to make better use of a company’s resources; or using insight into biological systems to construct robotic devices
that are more robust to problems in their working environment.

Graduate destinations
Every year our Careers Centre undertakes a destination of leavers survey with students six months after graduation. A selection of these destinations, from the last five years, can be found on our employability page.

Entry requirements

A degree equivalent to a UK upper second class honours (2:1) degree or higher in computing or a related discipline with a significant computing component. You are expected to have programming competence, some prior systems development experience and knowledge of data structures and algorithms. Relevant work experience will also be taken into consideration.

We also welcome and accept students with a wide range of international equivalent qualifications.

English language requirement: GCSE English Language grade C (or above) or an equivalent recognised English Language qualification e.g. IELTS: 6.5 with not less than 6.0 in listening, reading, speaking and writing.

Our Language Centre provide a range of English for Academic Purposes Pre-sessional courses, which are designed to help international students develop their language and academic study skills.

How to apply

The easiest and quickest way to apply for one of our masters courses is to apply online. This way, you can also track your application at each stage of the process. However, if you prefer, you can download an application form to print out and complete. Once complete, please return this, along with the correct documents to our Engineering Admissions Hub either via email or post: Engineering PGT Admissions Hub, Faculty of Engineering, University of Leeds, LS2 9JT, UK.

If you require any further information please contact our admissions team,
e: pgcomp@leeds.ac.uk, t: +44 (0)113 343 5440.