Postgraduate Course

MSc Advanced Computer Science

MSc Advanced Computer Science

Overview

The details
Advanced Computer Science
October 2018
Full-time
1 year
Colchester Campus

Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people’s lives.

Our MSc Advanced Computer Science provides you with the flexibility to master the areas of computing that interest and excite you most. You choose from a range of topics including:

  • Intelligent systems and robotics
  • Machine learning and data mining
  • Human language understanding and text processing
  • Computer game development
  • Cloud and web technologies
  • Computer security
  • Evolutionary computation

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Why we're great.
  • Tailor your degree and master the areas of computing that interest you the most
  • Develop expertise in contemporary design and practice, providing the skills to further explore how technology influences people’s lives
  • Your degree is accredited by the Institution of Engineering and Technology – your first stage towards professional registration as a Chartered Engineer

Our expert staff

Our research covers a range of topics, from brain-computer interfaces, human language understanding and technology, intelligent and adaptive systems, information and data analysis, robotics and embedded systems, to future networks, optoelectronics and radio frequency and signal processing foundations, with many of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.

  • We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
  • All computers are dual boot Windows 10 and Linux. Apple Mac Computers are dual boot MacOS and Windows 10
  • Software includes Java, C++, Perl, MySQL, Matlab, Microsoft Office, Visual Studio, and Project
  • Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OMNet++)
  • We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our graduates have achieved success in a variety of professions. Many have pursued careers in computing and information technology, while others have gone on to work in research organisations or become university academics.

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:

  • Electronic Data Systems
  • Pfizer Pharmaceuticals
  • Bank of Mexico
  • Visa International
  • Hyperknowledge (Cambridge)
  • Hellenic Air Force
  • ICSS (Beijing)
  • United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Entry requirements

UK entry requirements

A 2.2 in Computer Science, Computer Games, Electronic and Electrical Engineering or Mathematics.

At least 50% of Undergraduate Academic Modules must include computer science, electronic engineering, mathematics, engineering. In additional at least one of these modules should be a programming module.

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here.Please select your country page where you'll find this information.

English language requirements

IELTS 6.0 overall with a minimum component score of 5.5

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Additional Notes

The University uses academic selection criteria to determine an applicant’s ability to successfully complete a course at the University of Essex. Where appropriate, we may ask for specific information relating to previous modules studied or work experience.

Structure

Example structure

Most of our courses combine compulsory and optional modules, giving you freedom to pursue your own interests. All of the modules listed below provide an example of what is on offer from the current academic year. Our Programme Specification provides further details of the course structure for the current academic year.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

MSc Project and Dissertation

What fascinates you? Apply your learning in computer science or engineering to solve a problem. Design, implement and evaluate a solution, producing a dissertation on your investigation and giving an oral presentation of your work. Test your knowledge, while gaining practical experience and building your project management skills.

View MSc Project and Dissertation on our Module Directory

Professional Practice and Research Methodology

This module aims to prepare students for conducting an independent research project leading to a dissertation and to provide them with an appreciation of research and business skills related to their professional career. As a precursor to their project students, individually select an area of Computer Science, or Electronic Engineering, or Computational Finance and perform the necessary background research to define a topic and prepare a project proposal under the guidance of a supervisor. The module guides them by a) introducing common research methods b) creating an understanding of basic statistics for describing and making conclusions from data c) helping to write a strong proposal including learning how to perform literature search and evaluation and d) giving an in-depth view into the business enterprise, financial and management accounting and investment appraisal.

View Professional Practice and Research Methodology on our Module Directory

Group Project

Teamwork skills are essential for employability. The aim of this module is to provide students with the opportunity to apply their specialised knowledge to a realistic problem and gain practical experience of the processes involved in the team-based production of software. Wherever possible, teams are organised on the basis of shared interest, and the problem is designed to exercise their understanding of their area of specialised study. Starting from an outline description of a realistic problem, each team is required to develop a fully implemented software solution using appropriate engineering and project management techniques.

View Group Project on our Module Directory

Computer Security

This course gives an introduction to computer security and cryptography, and then goes on to consider security as it relates to a single, network connected, computer. Introductory material is independent of any operating system but the consideration of tools will focus on those available for Linux, partly because its open-source nature facilitates this and partly because it is widely used on server systems. The introduction to cryptography will be used to consider its use in encryption and authentication.

View Computer Security on our Module Directory

Intelligent Systems and Robotics (optional)

This module gives an introduction to intelligent systems and robotics. It goes on to consider the essential hardware for sensing and manipulating the real world, and their properties and characteristics. The programming of intelligent systems and real-world robots are explored in the context of localisation, mapping, and fuzzy logic control.

View Intelligent Systems and Robotics (optional) on our Module Directory

Text Analytics (optional)

We live in an era in which the amount of information available in textual form - whether of scientific or commercial interest - greatly exceeds the capability of any man to read or even skim. Text analytics is the area of artificial intelligence concerned with making such vast amounts of textual information manageable - by classifying documents as relevant or not, by extracting relevant information from document collections, and/or by summarizing the content of multiple documents. In this module we cover all three types of techniques.

View Text Analytics (optional) on our Module Directory

Machine Learning and Data Mining (optional)

Humans can often perform a task extremely well (e.g., telling cats from dogs) but are unable to understand and describe the decision process followed. Without this explicit knowledge, we cannot write computer programs that can be used by machines to perform the same task. “Machine learning” is the study and application of methods to learn such algorithms automatically from sets of examples, just like babies can learn to tell cats from dogs simply by being shown examples of dogs and cats by their parents. Machine learning has proven particularly suited to cases such as optical character recognition, dictation software, language translators, fraud detection in financial transactions, and many others.

View Machine Learning and Data Mining (optional) on our Module Directory

Game Artificial Intelligence (optional)

This module covers a range of Artificial Intelligence techniques employed in games, and teaches how games are and can be used for research in Artificial Intelligence. The module explores algorithms for creating agents that play classical board games (such as chess or checkers) and real-time games (Mario or PacMan), including single agents able to play multiple games. The course also covers Procedural Content Generation, and explores the techniques used to simulate intelligence in the latest videogames.

View Game Artificial Intelligence (optional) on our Module Directory

Physics-Based Games (optional)

Many of today’s best computer games rely on realistic physics at the core of their gameplay. In this course, students are taught how these physics engines work, and how to create physics-based games of their own. Students create a physics engine from scratch, and also learn how to use existing industry-standard open-source 2-D and 3-D physics engines. The necessary principles of physics and mathematics are taught, assuming very little prior knowledge. Vectors, matrices, and numerical integration are taught on a need-to-know basis, with code examples to illustrate the methods. Each lecture is followed by a lab session, where the new techniques are programmed by each student. Almost immediately, students will create scenarios where objects are moving and bouncing around the screen realistically. Each lab session ends in creating a small physics-based game. The course is assessed through tests, and a larger game-programming assignment.

View Physics-Based Games (optional) on our Module Directory

Mobile and Social Application Programming

A huge industry has grown up in the last few years delivering a wide range of apps for mobile devices, including application areas such as games, social networking, information, and productivity. Given the power of modern mobile devices coupled with their range of inputs (audio, camera, GPS, motion sensor, touchscreen) this creates an exceptionally interesting platform to develop applications for. Furthermore, these platforms come complete with their own marketplaces meaning that successful applications can achieve a large market share based largely on their merit. The purpose of this module is to teach the main aspects of programming applications for such devices. Such a course could be taught at an abstract level, independent of the particular type of device in question, but the approach taken on this module is to explore one particular platform (Android), in a hands-on and in-depth manner. This is a popular platform with a range of excellent devices (including low cost ones) from a variety of manufacturers. The platform is well designed and well documented, and has the significant advantage of being Java based, meaning that students can get up to speed relatively quickly and concentrate on the interesting issues involved in developing a high quality app without having to learn a new language at the same time.

View Mobile and Social Application Programming on our Module Directory

Network Security (optional)

This module considers the application of security to networked computers and systems. It will cover how to secure a network by applying methods to detect, mitigate and/or stop attacks. Based on the assumption that public networks will always be open to compromise, this course introduces techniques to secure transmitted data, including the management of encryption systems and communication.

View Network Security (optional) on our Module Directory

Mathematical Research Techniques Using Matlab (optional)

Mathematics is a tool used in many fields of research, and this module introduces students to techniques and ways of thinking designed to enable them to carry out their own mathematical investigations, or to apply mathematical ideas to an investigation of their own (typically for most students on this module, this will be their Dissertation project). We use the industry standard mathematical software Matlab, although the techniques introduced can also be applied using other software, and we study a range of techniques for numerical computation and processing of data.

View Mathematical Research Techniques Using Matlab (optional) on our Module Directory

Natural Language Engineering (optional)

As humans we are adept in understanding the meaning of texts and conversations. We can also perform tasks such as summarize a set of documents to focus on key information, answer questions based on a text, and when bilingual, translate a text from one language into fluent text in another language. Natural Language Engineering (NLE) aims to create computer programs that perform language tasks with similar proficiency. This course provides a strong foundation to understand the fundamental problems in NLE and also equips students with the practical skills to build small-scale NLE systems. Students are introduced to three core ideas of NLE: a) gaining an understanding the core elements of language--- the structure and grammar of words, sentences and full documents, and how NLE problems are related to defining and learning such structures, b) identify the computational complexity that naturally exists in language tasks and the unique problems that humans easily solve but are incredibly hard for computers to do, and c) gain expertise in developing intelligent computing techniques which can overcome these challenges.

View Natural Language Engineering (optional) on our Module Directory

Data Science and Decision Making (optional)

The aim of this module is to familiarise students with the whole pipeline of processing, analysing, presenting and making decision using data. This module blends data analysis, decision making and visualisation with practical python programming.Students will need a reasonable programming background as they will be expected to develop a complete end-to-end data science application.

View Data Science and Decision Making (optional) on our Module Directory

Neural Networks and Deep Learning (optional)

The aim of this module is to provide students with an understanding of the role of artificial neural networks (ANNs) in computer science and artificial intelligence. This will allow the student to build computers and intelligent machines which are able to have an artificial brain which will allow them to learn and adapt in a human like fashion.

View Neural Networks and Deep Learning (optional) on our Module Directory

Creating and Growing a New Business Venture (optional)

Acquire critical and transferable skills associated with the creation and growth of new business ventures. You focus on the development process from start up to early stage growth of new ventures, new small businesses spin offs from large firms, and especially innovative, technology-based firms. You study opportunity identification, self-efficacy, ideas generation, bricolage and bootstrapping, developing business models, networking, marketing, and finance.

View Creating and Growing a New Business Venture (optional) on our Module Directory

Teaching

  • Courses provide a thorough and up-to-date knowledge of the theory, methods and applications of computer science
  • Core components combined with optional modules, to enable you to gain either in-depth specialisation or a breadth of understanding
  • Our postgraduates are encouraged to attend conferences and seminars, as well as engage with the wider research community

Assessment

  • Courses are assessed on the results of your written examinations, together with continual assessments of your practical work and coursework

Dissertation

  • Your research project allows you to focus in depth on your chosen topic from April
  • Close supervision by faculty staff

Fees and funding

Home/EU fee

£7,560

International fee

£16,225

Fees will increase for each academic year of study.

What's next

Open Days

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

  • tour our campus and accommodation
  • find out answers to your questions about our courses, student finance, graduate employability, student support and more
  • meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing tours@essex.ac.uk and we’ll arrange an individual campus tour for you.

2018 Open Days (Colchester Campus)

  • Saturday, June 23, 2018

Applying

You can apply for our postgraduate courses online. You’ll need to provide us with your academic qualifications, as well as supporting documents such as transcripts, English language qualifications and certificates. You can find a list of necessary documents online, but please note we won’t be able to process your application until we have everything we need.

There is no application deadline but we recommend that you apply before 1 July for our taught courses starting in October. We aim to respond to applications within two weeks. If we are able to offer you a place, you will be contacted via email.

Colchester Campus

Visit Colchester Campus

We want you to throw yourself in at the deep end, soak up life and make the most of those special Essex moments.

Home to over 13,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place.

 

Virtual tours

If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.

Exhibitions

Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.

The University makes every effort to ensure that this information on its course finder is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep prospective students informed appropriately by updating our programme specifications.

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