入学要求 Requirement：
学术要求： Entry Requirements
•Undergraduate Degree Subject Good first degree (minimum 2.1 or equivalent) in Computer Science, Mathematics, Engineering, Biology or a related subject at bachelor level.
英语要求：Students for whom English is a foreign language
International applicants are required to provide evidence of proficiency in the English language (if English is not their first language).
Preferred qualifications are:
•IELTS Minimum score of 6.5 with a minimum of 6.0 in each component
•TOEFL Minimum score of 580 (paper based test), 230 (computer based test) or 92 (internet based test)
•Pearsons Test of English (PTE) Minimum score of 62 with no less than 47 in each component
•GCSE or GCE Ordinary Level English Language at grade C or above
Applicants who have previously studied in the English language may not be required to provide evidence of English language ability.
学费 Tuition Fee Fees And Funding
Fees And Funding
Tuition Fees 2011/12
•UK/EU £4,500
•International £11,200
Funding
•International (ISF) Scholarships, which cover up to 50% of tuition fees, available for excellently qualified international students.
课程特征 Course Features
Overview
Why take this course?
A major drive behind the revolution in molecular biology in recent years has been the remarkable advances in biotechnology that have led to cheaper, more accessible and more reliable methods to generate vast amounts of biological data. In response to the rapidly growing demand for researchers with the right mix of computational skills and biological knowledge necessary to collect and analyse such data, the University of East Anglia (UEA) is one of the first UK universities to provide a cutting-edge MSc programme in the field of Computational Biology.
Built on the previous MSc Bioinformatics, the MSc programme is offered by the School of Computing Sciences (CMP) and run in close collaboration with the UEA School of Biological Sciences (BIO), the John Innes Centre (JIC), the Institute of Food Research (IFR ), The Sainsbury Laboratory (TSL), and the recently established Genome Analysis Centre (TGAC), all of which are located in close vicinity to the UEA in the Norwich Research Park.
The course provides a high quality and challenging postgraduate degree programme and is delivered by research scientists at the cutting-edge of their field. It equips students with the required skills and state-of-the-art knowledge in computational biology and bioinformatics to build successful careers in academia or industry.
A unique aspect of the programme is that up to seven scholarships are available to undertake projects at the associated research institutes. Project work may be done with companies and could involve paid placement at a company for high-profile students.
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.
课程内容 Course Content ：
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.
•Year 1
Compulsory Study (130 credits)
Students will select 130 credits from the following module(s).
Name Code Credits Semester
Dissertation CMPSMP6X-B-SEM2 60 Semester 2
Fundamentals of Computational and
Structural Genomics CMPSMB4Y-A-YEAR 30 Semesters 1 & 2
Genome Informatics CMPSMB32-B-SEM2 10 Semester 2
Research Techniques CMPSMP2Y-A-YEAR 20 Semesters 1 & 2
Techniques for Biological D
atabase Exploitation CMPSMB36-B-SEM2 10 Semester 2
Option A Study (50 credits)
Students will select 50 credits from the following module(s).
Name Code Credits Semester
Genetics, Genomics and Bioinformatics BIO-M109-A-SEM1 10 Semester 1
Applications Programming CMPSMA23-A-SEM1 20 Semester 1
Data Mining CMPSMC24-B-SEM2 20 Semester 2
Database Manipulation CMPSMB11-A-SEM1 20 Semester 1
Information Retrieval and Natural
Language Processing CMPSMB29-A-SEM1 20 Semester 1
Internet&multimedia Techniques CMPSMB13-A-SEM1 20 Semester 1
Mathematics and Algorithms for
Computational Biology CMPSMC32-B-SEM2 10 Semester 2
教学与评估 Teaching and Assessment：
Teaching and Assessment
The course has two streams:
•One stream is aimed at students with a computing/mathematics/engineering background.
•The other stream is aimed at students with a background in the Biological Sciences.
The course, which is also offered as a part time version (2 or 4 years), offers a 12 months full-time equivalent programme which starts with taught courses, brought to you by staff members of CMP, the Computational Biology Laboratory and BIO. In the final three months, a research project is undertaken either at CMP or in one of the above research institutes. The project is written up in the form of a dissertation and counts for one third of the final mark.
Some recent dissertation titles:
•Integration of next-generation short-read assemblies for bacterial genomes
•Computing planar phylogenetic networks
•Predicting RNA pseudoknots
•Virus-host co-evolution
•Microtubules constrained to the surface of a cell
•Loop modelling server for proteins
•Molecular paleontology of repetitive DNA in yeasts
•Next generation sequencing for transcriptome profiling and association genetics in complex plant genomes
其它信息 Other Information：
Why Choose Us?
•90% of research activity 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.
•In the last National Student survey, rated 26th out of over 200 computing departments in England, Scotland and Wales for overall satisfaction.
•In March 2009 the British Computer Society (BCS) renewed accreditation for taught programmes for five years.
•The School has its own consultancy company, SYSCO, through which it maintains close links with industry.
•Some of the projects in the taught programmes may be done in collaboration with industry and could involve paid placements.