Postgraduate Taught Degrees

MSc Computational Biology

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

Overview
Why Choose Us
Course Profile
Requirements
Fees and Funding
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Why take this course?

two people from computational biology Much of the future of Biology lies in genomics. Genomes can now be sequenced in an hour generating a tsunami of data. This step change in our ability to generate and analyze genomic data has resulted in a rapidly growing demand in researchers with the right mix of computational skills and biological knowledge necessary to make the new discoveries of what is hidden in these genomes.The MSc in Computational Biology is a high quality and challenging postgraduate degree program aimed at equipping students with the required skills and state-of-the-art knowledge in computational biology and bioinformatics to build successful careers in academia or industry.

You will be trained in:

Next Generation Sequencing (NGS) genetics,
High throughput analysis pipelinex
Genomics and Transcriptomocs.

Who will do the training:

msc computational biology picture with collaborators You will receive training by world leaders working at the Norwich Research Park (NRP) including the University of East Anglia (UEA), The Genome Analysis Center (TGAC), The Institute of Food Research (IFR), and the Sainsbury Lab (TSL) with input also from the John Innes Center (JIC).

For whom:

If you hold a degree in the life sciences, we will provide you with the computing skills (incl programming). Also you will learn about the basic principles underpinning some of the most popular approaches used in genomics.

If you hold a computing degree or related, you will leant about how computer science tools and techniques can be made to work to tackle exciting challenges surrounding big data.

Format

The program comes as as a fulltime, 2year part time and 4 year part time variant.

Teaching and Assessment

The assessment of the modules that the program is made up of is via a combination of coursework, exam, and oral presentation. MSc dissertation projects can be undertaken either at the School or at one of NRP's research institutes .

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.

Career opportunities

Many of the students graduating from the program have gone on to pursue a PhD at highly respected national and international research institutes and universities. Others have found jobs in industry working as, for example, scientific programmers.

Academia/Industry
Various research institutes in the UK offer jobs in computational biology and bioinformatics and systems biology, including the Wellcome Trust Sanger Institute Centre, the European Bioinformatics Institute, Wellcome Trust Centre for Human Genetics in Oxford and the various UK research centers for Systems Biology. Pharmaceutical companies such as GlaxoSmithKline or AstraZeneca also recruit regularly, but smaller companies also employ bioinformaticians including those involved in agricultural applications, biotechnology, environmental sciences and food research.

PhD Students interested in pursuing a PhD in computational biology can do so in the School working with experienced supervisors working at the forefront of their field, one of the research institutes within NRP, or at other universities/research centres. Within this context it should be noted that NRP research studentships are available each year. These are generally based on collaborative projects between researchers working within NRP and are awarded on a competitive basis.

Job Advertisements Magazines such as Nature, Science and New Scientist often feature relevant job advertisements, as well as Bioinformatics.org, Bioinformatics.fr, biohealthmatics.com and biocareers.org.

Student Testimonies

The MSc in Computational Biology offered by UEA is an in-depth, hands-on, overview of the application of computing and programming to a broad range of biological problems. The collaboration with the Norwich Research Park also allowed me to gain valuable insight into the current bioinformatic research environment. The course was thoroughly interesting and inspired me to start a PhD in Computational Biology.

Matthew Beckers

I really enjoyed my course and the one year that I spent in UEA. The course really helped me realize the direction of my research interests. I found the course to be a good balance of computational and non computational modules. And even though it was an extremely busy one year, the excellent support from the tutors and other support staff made it less challenging.

Tameera Rahman

I really did have a great time at UEA. I am happy to inform you that I have been accepted for a PHD position in Vienna, Austria which is jointly offered by the Austrian Centre of Industrial Biotechnology and the University of Natural Resources and Life Sciences (BOKU), Vienna and will be starting on 1 November, 2011. I will be working on the metabolic modelling and reconstruction of different E. coli strains. The MSc Computational Biology program has contributed greatly towards me getting this offer.

Nair Govind

I have great memories of my year at University of East Anglia, thanks to the quality of the courses and the professors which helped getting me a place as 'Bioinformatician'at Biocon India. Studying at UEA have brought an added value to my personal life. I would also like to mention the practical knowledge and exposure that was given to me during my dissertation at Institute of Food Research have prepared me for working life in order to quickly become professional at end of my studies. I would highly recommend the MSc Computational Biology program at UEA.

Mohammed Obaid Siddiqui

Contact: cmp.admiss@uea.ac.uk

Course Organiser:Dr. Katharina Huber

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.

Year 1

Compulsory Study (130 credits)

Students must study the following modules for 130 credits:

Name	Code	Credits
DISSERTATION	CMPSMP6X	60
Reserved for postgraduates in the School of Computing Sciences, this module provides the student with a piece of individual work, with substantial research and practical elements. The subject of the dissertation will be determined by agreement between the student and his or her supervisor. The work may be undertaken as part of a large collaborative or group project. More...
FUNDAMENTALS OF COMPUTATIONAL AND STRUCTURAL GENOMICS	CMPSMB4Y	30
The initial section of the module will revise biological aspects of genomic information, gene and genome evolution. Examples will be worked through for evaluating sequence data and to recognise problems of sequence data analyses. Gene annotation and gene searching procedures will be introduced and approaches for phylogenetic analyses will also be covered. Following that, sequence alignment and sequence recognition protocols will be investigated and algorithms for this purpose will be examined. Understanding of the experimental techniques used to determine protein structure will be explained and in particular emphasis is paid to the detection of errors in these structures. From there methods used to predict protein structures will be covered. These will include secondary structure prediction, fold recognition (threading) and homology modelling. Some of the methods introduced earlier, such as profiles, will reappear in the context of structure prediction so consolidating understanding of these concepts. In addition the methods of molecular mechanics will be presented together with a general introduction to protein dynamics. More...
GENOME INFORMATICS	CMPSMB38	20
This module is very much a research led course and is largely taught by scientists from across Norwich Research Park. It aims to introduce students to current trends, developments, and techniques in genomics based Computational Biology. THIS MODULE IS STRICTLY RESERVED FOR STUDENTS ON THE FOLLOWING ROUTES ONLY: T1CG15102, T2CG15202, T2CG15402 More...
RESEARCH TECHNIQUES	CMPSMP2Y	20
A module that provides students with the training of some transferable skills, an overview of research methods used in computing sciences, and introduces individual students to background material preparatory to their dissertation project which they would not otherwise study systematically to the required depth. The learning objectives for this module are to enable students to approach the dissertation with the intellectual and practical skills necessary to successfully complete a masters dissertation in Computer Science. More...

Option A Study (50 credits)

Students will select 50 credits from the following modules:

Name	Code	Credits
APPLICATIONS PROGRAMMING	CMPSMA23	20
This module aims to establish a clear understanding of the Object Oriented Programming paradigm, including Encapsulation, Inheritance and Polymorphism. Simple data structures will be considered and classes will be indentified as vehicles for implementing abstract data types. The benefits of modular software design will be emphasised and the Unified Modelling Language (UML) will be introduced as a design tool for large software systems. Topics include: Data structures, programming, and program design. More...
DATA MINING	CMPSMC24	20
This module is designed for postgraduate students studying on MSc courses. The module explores the methodologies of Knowledge Discovery and Data Mining (KDD). It aims to cover each stage of the KDD process, including data gathering, preliminary data anaylsis or data exploration, data cleansing, pre-processing and the various data analysis tasks that fall under the heading of data mining. Through this module, students should gain knowledge of algorithms and methods for each stage of the process, as well as practical experience using leading KDD software packages throughout all of the stages of KDD process. More...
DATABASE MANIPULATION	CMPSMB11	20
This module provides an overview of the philosophy and development of database technology. Practical experience of database manipulation is provided through the use of SQL and the Java JDBC interface on the IBM DB2 database management system. Database design is introduced using Entity-Relationship modelling and normalisation. More...
GENETICS, GENOMICS AND BIOINFORMATICS	BIO-M109	10
This module provides a Master's level introduction to the structure and function of DNA and its inheritance in pro- and eukaryotic organisms. It also includes an introduction to the study of the genomes of model organisms, together with the analysis of gene function and expression. An introduction to the role of bioinformatics in studies of evolution and genomics is also included. This module forms the foundation for more in-depth coverage of these topics later in the academic year.
INFORMATION RETRIEVAL AND NATURAL LANGUAGE PROCESSING	CMPSMB29	20
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines, surveys multimedia and cross-language IR, reviews, current NLP techniques and their role in IR. More...
INTERNET & MULTIMEDIA TECHNIQUES	CMPSMB13	20
This module surveys the current and emerging technologies of the Internet and its impact on society, particularly e-commerce. The practical part of the module concentrates on the design and integration of web sites, using a range of tools and techniques in current use. More...
MATHEMATICS AND ALGORITHMS FOR COMPUTATIONAL BIOLOGY	CMPSMC32	10
This module introduces core concepts and approaches in graph theory, clustering, algorithm analysis and statistics. This will provide a sound mathematical foundation for Computational Biology techniques and research. More...

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 Subject:: Computing Sciences, Biological or Life Sciences, Mathematics and Engineering.
Degree Classification:: Good first degree (minimum 2.1 or equivalent).

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: 'Cohen said ' Mathematics is biology's next microscope only better; Biology is mathematic's next physics only better'. Many people would extend this to 'Computer Science is biology's next microscope only better; Biology is computer sciences next physics only better'. Discuss. 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.