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MSc Computing Science

Duration:
1 years
Attendance:
Full Time
Award:
Degree of Master of Science
School of Study:
Computing Sciences
Brochure:
Faculty of Science Postgraduate Brochure (PDF)

Why take this course? 

The MSc Computing Science is designed for the graduates of non-computing subjects to study computer technologies and skills to broaden their knowledge and to create new career prospects. It is a 12-month full-time course but may be studied part-time over 24 months.

The training in this course not only teaches essential computing technical knowledge but also develops generic, transferable skills such as in communication, critical thinking and reasoning, problem solving, independent and team working and project management, with an aim to make the graduates of this course professionally competitive and flexible in a challenging and changing employment environment. Thus, the graduates can find employment in a wider range of careers in industry, business, public sectors, education and research institutions, working as diverse roles, ranging from, software developers, systems analysts, data analysts, IT managers, to independent consultants and academic or commercial researchers.

Contact time

Students have on average 15 hours of contact time per week with teaching staff through lectures, laboratory sessions and seminars, though this may vary depending on module choices. Additionally, students should allocate at least 25 hours per week for study, coursework assignments and projects.

Teaching and Assessment

The course is delivered through lectures, seminars, directed studies and laboratory exercises, involving individual and team work. The assessments are carried out by coursework and/or written examinations. Students will learn modules including Research Techniques, Object-Oriented Programming (in java) and Software Development Methodologies with UML(Unified Modelling Language), Databases, and Internet and Multimedia Technology. These are all integrated in a Web based framework and students are grouped as teams to design and implement a substantial Web-based application. Students also take few optional modules, from the optional module list, which includes Data Mining, Applied Statistics, Networks, Systems Engineering, Systems Development, Artificial Intelligence, Image, and Speech and Language Processing.

Starting in the Spring Semester to August, students will undertake an MSc Dissertation project on a topic that is usually related to the School's research areas, often in collaboration with an outside body. A project requires students to apply the knowledge and skills they have learned from the course to carry out in-depth research on a topic, or develop a working system for various applications. Some project work may be done with companies and could involve paid placement at a company.

Samples of recent dissertation titles:

  • Hybrid positioning technologies for location based services with iPhone
  • Predicting earthquakes with time series data mining
  • An application of video shot detection
  • Machine learning ensemble methods for identifying fake web sites
  • Predicting the results of Tennis matches in real time

Career opportunities

As a graduate from this course, you will be able to find employment in private industry, public sector organisations and in research, working in diverse roles, ranging from independent consultants, software developers, systems analysts, data analysts and IT managers to academic or commercial researchers.

I have found a job as a junior software developer and I am finding that the course has prepared me well for this. Once again I’d like to thank you for getting your students ready for the real-world.

Rungano Mudimu, (former student).


Dr. Wenjia Wang
  • 95% of research activity is classified as internationally leading, excellent or recognised in the 2008 Research Assessment Exercise.
  • Teaching of the highest quality; rated “Commendable” in the most recent Teaching Quality Assessment.
  • Our Masters programmes are accredited by the BCS - The Chartered Institute for IT to full Chartered IT Professional (CITP Further Learning Element) as well as leading to Chartered Engineer (CEng) status.
  • The School maintains close links with industry and many of our student assignments relate to real world problems.
  • The School of Computing Sciences leads the university in utilizing its internationally recognized research commercially, through SYS Consulting, its Consulting company and through Knowledge Transfer Partnerships.
  • Our students also use their technical and entrepreneurial skills to play influential roles in the creation of companies such as Travel Republic, Evoke systems, Fyfo and Shoretech systems.

Come and Visit Us

Our Open Days will give you the opportunity to experience the University of East Anglia's unique campus atmosphere.

Compulsory Study (80 credits)

Students must study the following modules for 80 credits:

Name Code Credits
DISSERTATION CMPSMP6X 60
RESEARCH TECHNIQUES CMPSMP2Y 20

Option A Study (60 credits)

Students will select 60 credits from the following modules:

Name Code Credits
APPLICATIONS PROGRAMMING CMPSMA23 20
DATABASE MANIPULATION CMPSMB11 20
INTERNET & MULTIMEDIA TECHNIQUES CMPSMB13 20

Option B Study (40 credits)

Students will select 40 credits from the following modules:

Name Code Credits
APPLIED STATISTICS CMPSMC28 20
ARTIFICIAL INTELLIGENCE AND ALGORITHMICS CMPSMA24 20
COMPUTER NETWORKS CMPSMD22 20
COMPUTER VISION (FOR DIGITAL PHOTOGRAPHY) CMPSMI16 20
DATA MINING CMPSMC24 20
DISTRIBUTED COMPUTING CMPSMC34 20
E-BUSINESS SYSTEMS DEVELOPMENT CMPSMB22 20
SYSTEMS ENGINEERING ISSUES CMPSMB20 20

Disclaimer

Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. Where this is the case, the University will endeavour to inform students.

Entry Requirements

Degree Classification:
Good first degree (minimum 2.1 or equivalent). at bachelor level.

Students for whom English is a Foreign language

We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:

IELTS: 6.5 (minimum 6.0 in all components)
TOEFL: Internet-based score of 88 (minimum 18 in listening, 21 speaking, 19 writing and  20 reading)
PTE (Pearson): 62 (minimum 55 in all components)
Test dates should be within two years of the course start date.

Other tests such as TOEIC and the Cambridge Certificate of Advanced English are also accepted by the university. Please check with the Admissions Office for further details including the scores or grades required.

INTO UEA and INTO UEA London run pre-sessional courses which can be taken prior to the start of your course. For further information and to see if you qualify please contact intopre-sessional@uea.ac.uk (INTO UEA Norwich) or pseuealondon@into.uk.com (INTO UEA London).

Fees and Funding

Tuition Fees 2013/14

  • UK/EU £5,000
  • International £12,500

Funding

  • International applicants applying to this course can be considered for one Faculty of Science half fees scholarship or one £2000 scholarship. The deadline is 1st April 2013.

Faculty of Science Scholarships
Students wishing to apply should submit an essay answering the following question in 1000 words: ' What do you know about Computing Science and why do you want to study MSC Computing Science at UEA'? Essays should be emailed to the Admissions Office. Please ensure you include your full name, the course you have applied to, and your applicant number in your email.

For more information please contact the Computing Sciences Postgraduate Admissions Office (cmp.pgt.admiss@uea.ac.uk)


Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.

You can apply online, or by downloading the application form.

Further Information

To request further information & to be kept up to date with news & events please use our online enquiry form.

If you would like to discuss your individual circumstances prior to applying please do contact us:

Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk

International candidates are also encouraged to access the International Students section of our website.