MSc Computing Science

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8
Average rating for MSc Computing Science
starstarstarstarstar_border
Joe
marketing resaearcher and software developer
8
MSc Computing Science

"This course was a great way for me to change my career and I found them amazingly flexible with my personal situation (not a lot of money, so having to extend deadlines due to professional work undertaken). I would definately say this is a great way to become better at programming/database work/ software dev/and data mining. There is a high percentage of statistically minded computer scientists/lecturers here also, and the want to explore the more science based side of computers can be addressed here. Good courser, great lecturers, extensive content." - 26-11-2013 18:20

"This course was a great way for me to change my career and I found them amazingly flexible with my personal situation (not a lot of money, s… read full review - 26-11-2013 18:20

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Description

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, t…

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Frequently asked questions

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Didn't find what you were looking for? See also: Science, Software / System Engineering, English (FCE / CAE / CPE), Teaching Skills, and Biology.

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).


Course Organiser:Dr. Wenjia Wang
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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).

  • 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.

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)


8
Average rating for MSc Computing Science
Based on 1 review
starstarstarstarstar_border
Joe
marketing resaearcher and software developer
8
MSc Computing Science

"This course was a great way for me to change my career and I found them amazingly flexible with my personal situation (not a lot of money, so having to extend deadlines due to professional work undertaken). I would definately say this is a great way to become better at programming/database work/ software dev/and data mining. There is a high percentage of statistically minded computer scientists/lecturers here also, and the want to explore the more science based side of computers can be addressed here. Good courser, great lecturers, extensive content." - 26-11-2013 18:20

"This course was a great way for me to change my career and I found them amazingly flexible with my personal situation (not a lot of money, s… read full review - 26-11-2013 18:20

There are no frequently asked questions yet. Send an Email to info@springest.co.uk