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Postgraduate study
 
  • January 2020: Apply now to start January 2020.
 

Course overview

As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine.

This programme teaches you how to manage and manipulate large datasets to reveal new insights in biological sciences. You get intensive training in a computer-based approach to biological research. You develop the computational and analytical understanding necessary as a platform for processing biological data. This involves the appreciation of biochemistry and molecular biology, together with IT and specialist skills in computer programming, data analysis, statistics and computational biology for multidisciplinary careers in research.

This course is taught at our National Horizons Centre at the University’s Darlington campus. This £22m purpose-built biosciences research, education and training facility is a focal point for the growing regional biosciences community.There are three routes you can select from to gain a postgraduate master’s award:

  • MSc Bioinformatics – one year full time
  • MSc Bioinformatics – two years part time
  • MSc Bioinformatics (with Advanced Practice) – two years full time

The one-year programme is a great option if you want to gain a traditional MSc qualification.The two-year master’s degree with advanced practice enhances your qualification by adding a vocational or research based internship to the one-year master’s programme.A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, team-working, research and academic skills by working alongside a research team in an academic setting. We guarantee a research internship, but cannot guarantee a vocational internship. We will, however, provide you with practical support and advice on how to find and secure your own vocational internship position should you prefer this type of internship.

 

Course details

For the MSc with advanced practice, you complete 120 credits of taught modules, a 60-credit master’s research project and 60 credits of advanced practice.

Course structure

Core modules

Advanced Bioinformatics

Advanced Practice in Science, Engineering and Design

Advanced Practice options

Research Internship: Develop your research and academic skills by undertaking a research internship within the University. Experience working as part of a research team in an academic setting – ideal if you are interested in a career in research or academia.

Vocational Internship: Spend one semester working full-time in industry. We have close links with a variety of local companies who can offer you the chance to develop your knowledge and professional skills in the workplace through an internship. Although we can’t guarantee you an internship, we will provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge.

Clinical Biochemistry and Diagnostic Techniques

You explore advanced topics in biochemistry with special focus on clinical applications and diagnostic techniques. This involves the study of clinical analysis of bodily fluids and other biological materials to aid in the diagnosis, therapy and monitoring of a variety of diseases. You will acquire the knowledge necessary for understanding the essential concepts of clinical biochemistry and of the associated diagnostic techniques.

Data Analytics

This module provides you with the core principles and practical skills to apply state-of-the-art computational methods to perform data analytics. The skills are very important in the new horizon of data analysis where existing massive amount of data contains valuable knowledge, which is critical for prediction and decision-making. Due to its characters (3V: volume, velocity, and variety), computational methods are required to extract such knowledge.

You form a solid foundation of 1) predictive analytics, 2) data-driven decision making which refers to tools and techniques for building statistical or machine learning models to make predictions and decisions based on data. Practical guidance about how to handle unlabelled, noisy, incomplete, large-scale data is discussed and you learn how to select the best technique to handle different type of data in different scenarios.

Genomics and Bioinformatics

You gain an in depth understanding of advances genomics, proteomics and bioinformatics knowledge and their applications in specific disease state. You learn about the most recent technologies including next generation gene sequencing, genome editing, genomic and bioinformatics analyses. This module also explores the genomic application for disease treatment and prevention (pharmacogenomics), personalised medicine as well as ethical challenges in this field.

Life Science Research Project

You undertake a major independent practical research project in your discipline where you are fully integrated within a research team. Reflecting staff expertise, you will be able to pursue many discipline-related topics, including medical, industrial and environmental microbiology, molecular, cell and system biology, recombinant DNA technology, protein biochemistry, structural biology, fermentation, bioengineering and many other areas, using the state-of-the-art analytical and digital infrastructure at the National Horizons Centre. You will complete a hypothesis-driven project utilising appropriate discipline-specific laboratory, database or computational research methodologies to interrogate a hypothesis in a specialised area of the life sciences. You will be expected to work at a level recognised to be at the forefront of the discipline. Supervisors will provide guidance to support you but a high degree of autonomy is required.

Programming Skills

This module introduces programming, data types, use of algorithms involving repetition and conditional execution. Through a series of problem solving computer lab practicals you will explore the development of well-structured programs and data structures, with attention to maintainable, robust, reliable, and reusable code, and thorough testing.

 

Optional modules

Pathobiology of Infectious Diseases

You gain a deep understanding of infectious disease and will cover a wide range of medically-important human pathogens. Key aspects of pathobiology will be taught including pathogen genomics and evolution, bioinformatics, and the cellular and molecular biology that underpin these host pathogen interactions. Subversion of key mammalian cell biological processes, including immunology, that are targeted by pathogens will also be described. Advanced laboratory techniques and bioinformatics will be introduced that are commonly used to uncover mechanisms of pathogenesis.

The Pathobiology of Neurological Diseases

You explore the pathophysiological basis of diseases commonly associated with the central nervous system, including Alzheimer’s disease, Parkinson’s disease, epilepsy and stroke. The module will explore the genetic, molecular, cellular and neurochemical pathways involved in diseases of the central nervous system and how such abnormalities manifest clinically. It will also examine the various treatment strategies available for such diseases.

 

Modules offered may vary.

 

How you learn

Making the transition to postgraduate-level study can be challenging. Support with making this transition is seen as an important element of this programme.

The Data Analytics and Algorithms for Bioinformatics and Database Theory and Application modules help you understand the requirements of academic study at postgraduate level, to enhance your skills in academic writing and referencing, and to help you develop the skills necessary to operate professionally and ethically in planning and implementing a master’s-level research project.

By including work-based problem-solving projects and case study exercises this programme emphasises real-world working. This helps to develop your critical thinking skills as well as your ability to design, execute and present findings of research, allowing you to cultivate the skills employers are seeking to set you on a successful career path.

A significant feature of the programme is the opportunity to gain experience of working in state-of-the-art bioinformatics research facilities within the National Horizon Centre

How you are assessed

Modules are assessed by a variety of methods including exams and in-course assessment with some using other approaches such as group work, verbal or poster presentations. 

Your Advanced Practice module is assessed by an individual written reflective report (3,000 words) together with a study or workplace log, where appropriate, and through a poster presentation.

 
 

Entry requirements

Applicants are normally expected to have at least a UK 2.2 honours degree, or equivalent, in a subject related to life or physical sciences. If your first degree is not in one of the subject areas listed above please contact our admissions team for guidance and advice on how you might become eligible. We may be able to offer you alternative access routes.

For additional information please see the entry requirements in our admissions section

International applicants can find out what qualifications they need by visiting Your Country

In addition, international students normally need at least a 6.0, with no component below 5.5, in the International Language Testing System (IELTS) test.

For additional information please see our entry requirements

International applicants can find out what qualifications they need by visiting Your Country

 

Employability

Work placement

There may be short-term placement opportunities, particularly during the project phase of the course.

Career opportunities

Our bioinformatics programme equips you with a strong foundation for further PhD research or for prospective employment. There is an increasing demand for bioinformatics skills across the biotechnology, life sciences and pharmaceutical sectors. The ability to manage, analyse, integrate and visualise big data using technologies such as Python and R is also applicable to fields including software development, data analytics and finance.

 

Information for international applicants

Qualifications

International applicants - find out what qualifications you need by selecting your country below.

Select your country:

  
 

Useful information

Visit our international pages for useful information for non-UK students and applicants.

Talk to us

Talk to an international student adviser

 
 

Full-time

2019 entry

Fee for UK/EU applicants
£4,335 a year

More details about our fees

Fee for international applicants
£7,000 a year

More details about our fees for international applicants

2020 entry

Fee for UK/EU applicants
£4,335 a year

More details about our fees

Fee for international applicants
£7,500 a year

More details about our fees for international applicants

  • Length: September enrolment: 20 months, including a summer break; January enrolment: 2 years, including two summer breaks
  • Enrolment date: September or January
  • Semester dates

Apply online (full-time)

Apply online (fast-track) for current students

 

Part-time

  • Not available part-time
 
 
 

Choose Teesside

Progress

Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.

 

Skills

Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.

 

Earnings

The median salary for working-age (16-64) postgraduates in 2018 was £6,000 more than graduates
(DoE Graduate Labour Market Statistics 2018, tees.ac.uk/source)

 

Campus

Study in our friendly town-centre campus with over £270m recently invested and another £300m over the next 10 years.

 

Get in touch

 

Open days

16 November 2019
Postgraduate open day

Book now