THE MASTERS PORTAL
Home
Studiengangsprofil
Bioinformatics and Computational Biology
University College Cork

Relevant links


Name of the Masters programme

Bioinformatics and Computational Biology


Institution

University College Cork


Contact the student advisors
More information on this institution
Our Social Media:

    Bioinformatics and Computational Biology
  • Brief profile
  • Course content
  • Karriere und Zukunft
  • Zulassungsbedingungen
  • Masters programme
  • Contact
|�|

Studying Bioinformatics and Computational Biology at the University College Cork

Course Outline

The MSc in Bioinformatics and Computational Biology at UCC is a one-year full-time (or two years part-time) taught masters course commencing in September. Bioinformatics is a fast-growing field at the intersection of biology, mathematics and computer science. It seeks to create, advance and apply computer/software-based solutions to solve formal and practical problems arising from the management and analysis of very large biological data sets. Applications include genome sequence analysis such as the human genome, the human microbiome, analysis of genetic variation within populations and analysis of gene expression patterns.

Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, modelling of DNA and protein evolution, analysis of genetic variation in populations, and analysis of gene expression, protein-protein interaction and protein mass spectrometry data. Another emerging area within bioinformatics is systems biology, which examines how individual biological components (e.g. metabolic pathways, genes, proteins, organelles, cells, physiological systems, organisms) interact in a network to produce observable phenotypes of a whole organism or body system.

As part of the MSc programme, students carry out a three-month research project in a research group in UCC or in an external university, research institute or industry. The programming and data handling skills that you will develop, along with your exposure to an interdisciplinary research environment, will be very attractive to employers. Graduates from the MSc will have a variety of career options including working in a research group in a university or research institute, industrial research, or pursuing a PhD.

Additional Teaching Mode Information
The part-time option will be taught during weekday working hours over 2 years. 


More information on this programme? Visit the website!

next: Studieninhalte »

|�|

Bioinformatics and Computational Biology: Course Practicalities:

Course Practicalities

A candidate for the MSc Degree in Bioinformatics and Computational Biology must register over one academic year (October-September) (for full-time students) or two years (part-time students) from the date of first registration for the programme.

The MSc programme will train participants to an advanced level in bioinformatics theory and applications. Graduates of the programme will:

  • have a solid background in the theory behind bioinformatics methods and tools so that they can critically evaluate research in bioinformatics
  • be able to use existing bioinformatics methods and tools and rapidly learn to apply new methods and tools
  • be able to organise, process and analyse large data sets generated by genomics and systems biology approaches
  • be able to program and create scripts for parsing various formats of biological data within a command-line computer environment
  • understand the role of modelling and simulation of biological systems
  • have a deep knowledge of the aspect of bioinformatics in which they carried out their three-month research project (as part of the MSc programme). This experience will prepare them for a future research career in the bioinformatics field.


Mathematics, statistics, engineering or computer science graduates who take the programme will also take several biology modules that include practical 'wet' laboratory classes. Since bioinformatics involves organising and analysing large data sets from high-throughput biological studies, and developing algorithms and statistical approaches to analyse and understand these data, it heavily relies on mathematical and statistical models and methodologies, as well as on computational tools and applications, where the outcomes of such efforts also require coupling to a particular biological question.

Full-time students must complete 12 taught modules and undertake a research project. Part-time students complete about six taught modules in each academic year and undertake the project in the second academic year. Each taught module consists of approximately 20 one-hour lectures (roughly two lectures per week over one academic term), as well as approximately 10 hours of practicals or tutorials (roughly one one-hour practical or tutorial per week over one academic term), although the exact amount of lectures, practicals and tutorials varies between individual modules.

There are exams for most of the taught modules, usually in December and May, of each of the two Semesters, while certain modules also have a continuous assessment element. The research project starts in June and finishes towards the end of September, followed by an oral thesis presentation in the middle of October Part-time students will carry out their research project during the summer of their second academic year.

Dr Marcus Claesson from the School of Microbiology is the Programme Director, and the 12 taught modules are delivered by staff from across the Schools of Microbiology, Mathematics, Applied Mathematics & Statistics, Biochemistry & Cell Biology and the Departments of Computer Science.


More information on this programme? Visit the website!

« back: Brief profile

next: Karriere und Zukunft »

|�|

Bioinformatics and Computational Biology: Career:

Graduates of this course offer a unique set of interdisciplinary skills making them highly attractive to employers at universities, research centres and in industry. Many research institutes have dedicated bioinformatics groups, while many 'wet biology' research groups employ bioinformaticians to help with data analyses and other bioinformatics problems. Industries employing bioinformaticians include the pharmaceutical industry, agricultural and biotechnology companies. For biology graduates returning to 'wet lab' biology after completing the MSc course, your newly acquired skills will be extremely complementary and useful. Non-biology graduates seeking non-biology positions will also find that having acquired interdisciplinary skills is of great benefit in getting a qualified job in many sectors due to being able to adapt knowledge across a broad range of disciplines.

Working in the field of bioinformatics is both a challenging and satisfying job, which often involves problem solving, programming, statistical analyses of large data sets, and mathematical modelling of biological phenomena. It is possible for a bioinformatician to work on many different biological questions and types of data sets, making this an interesting and exciting field to work in.

A bioinformatician’s day-to-day work can involve studying many different fascinating and important biological questions, such as:

  • What are the genetic differences between the DNA of humans and chimpanzees?
  • How many genes are there in the human genome, and can we identify them all?
  • What differences exist in the DNA of different people, and how does that affect their health, appearance and behaviour?
  • Is it possible to create a computer program to analyse the DNA sequences of 1000 different individual humans, and to reconstruct their genetic history (see http://www.1000genomes.org)?
  • What are the differences between cancer cells and healthy cells?
  • How do new drug-resistant strains of malaria evolve from existing strains, and can we predict what strains will emerge in future?
  • What bacteria are present in different environments, such as different parts of the human body in people of different ages, populations and health?
  • How are different animal groups (eg. humans, flies, jellyfish, earthworms, etc.) related to each other, and when and where did they evolve from a common ancestor?
  • How can ‘omics’ data from e.g. metabolomics, genomics, transcriptomes from case and control subjects/animal be integrated and relevant information be extracted and interpreted?
  • And many other interesting and important questions


The MSc programme will train participants to an advanced level in bioinformatics theory and applications. Graduates of the programme will:

  • have a solid background in the theory behind bioinformatics methods and tools so that they can critically evaluate research in bioinformatics
  • be able to use existing bioinformatics methods and tools and rapidly learn to apply new methods and tools
  • be able to organise, process and analyse large data sets generated by genomics and systems biology approaches
  • be able to program and create scripts for parsing various formats of biological data within a command-line computer environment
  • understand the role of modelling and simulation of biological systems
  • have a deep knowledge of the aspect of bioinformatics in which they carried out their three-month research project (as part of the MSc programme). This experience will prepare them for a future research career in the bioinformatics field.

More information on this programme? Visit the website!

« back: Course content

next: Zulassungsbedingungen »

|�|

Bioinformatics and Computational Biology: Requirements:

  • Entrants to the programme must be holders of a minimum Second Class Honours Grade I in a primary honours degree (NFQ, Level 8), or equivalent qualification, in a discipline with a significant element of Mathematics, Statistics, Engineering, Computer Science or Biology.
  • In addition, candidates with Second Class Honours Grade II in a primary honours degree (NFQ, Level 8) may also be considered under Recognition of Prior Learning (RPL) for places, following assessment by the Programme Director, if they are also proficient in mathematics as evident from grades in Higher Leaving Cert maths or Undergraduate maths modules, and have at least one year of proven and relevant Biological, Mathematical or Computational work or Postgraduate experience.
  • The number of places is limited and selection will be made on the candidate's performance in his/her primary degree and experience.


It is not necessary to have prior knowledge of computer programming or bioinformatics to take the course. All the necessary computer skills will be taught as part of the programme.

 

English Language Requirements

Applicants that are non-native speakers of the English language must meet the university approved English language requirements available here.

For applicants with qualifications completed outside of Ireland

Applicants must meet the required entry academic grade, equivalent to Irish requirements, please find our grades comparison by country here

International/non-EU applicants

For full details of the non-EU application procedure please visit our how to apply pages for international students. In UCC, we use the term programme and course interchangeably to describe what a person has registered to study in UCC and its constituent colleges, schools, and departments.

Not all courses are open to international/non-EU applicants, please check the fact file above.


More information on this programme? Visit the website!

« back: Karriere und Zukunft

next: Masters »

|�|

Overview of Masters programmes - University College Cork

comprehensive profile   Actuarial Science
comprehensive profile   Architecture (Joint Programme with CIT)
comprehensive profile   Bioinformatics and Computational Biology
comprehensive profile   Biology - Marine Biology
comprehensive profile   Biology - Marine Biology Conversion Programme
comprehensive profile   Biology - Molecular Cell Biology with Bioinnovation
comprehensive profile   Biotechnology
comprehensive profile   Chemistry - Analysis of Pharmaceutical Compounds
comprehensive profile   Chemistry - Analytical Chemistry
comprehensive profile   Chemistry - Analytical Chemistry
comprehensive profile   Chemistry - Environmental Analytical Chemistry
comprehensive profile   Computer Science - Applied Computing Technology
comprehensive profile   Computing Science
comprehensive profile   Dairy Technology and Innovation
comprehensive profile   Data Science and Analytics
comprehensive profile   Dementia
comprehensive profile   End of Life Healthcare Ethics
comprehensive profile   Engineering - Electrical and Electronic Engineering
comprehensive profile   Engineering - Mechanical Engineering
comprehensive profile   Engineering - Pharmaceutical and Biopharmaceutical Engineering
comprehensive profile   Engineering - Sustainable Energy
comprehensive profile   Financial and Computational Mathematics
comprehensive profile   Food Microbiology
comprehensive profile   Food Science
comprehensive profile   Food Science and Technology
comprehensive profile   Health Protection (Online)
comprehensive profile   Human Nutrition and Dietetics
comprehensive profile   Interactive Media
comprehensive profile   Mathematical Modelling and Self-Learning Systems
comprehensive profile   Nurse/Midwife Prescribing
comprehensive profile   Nursing - Gerontological Nursing
comprehensive profile   Nursing - Medical and Surgical Nursing
comprehensive profile   Nutritional Sciences
comprehensive profile   Older Person Rehabilitation
comprehensive profile   Statistics
    (Online) Engineering - Information Technology in Architecture, Engineering and Construction
    Accounting
    Applied Coastal and Marine Management
    Archaeology - Archaeological Excavation
    Archaeology - Human Osteoarchaeology
    Art History - Modern and Contemporary Art History, Theory and Criticism
    Asian Studies
    Audiology
    Beginnings of Irish Christianity
    Business Economics
    Business Information and Analytics Systems
    Business Information Systems
    Celtic Civilisation
    Chinese - Contemporary Chinese Culture and Business
    Chinese - Teaching Chinese to Speakers of Other Languages (MATCSOL)
    Co-operative and Social Enterprise
    Comparative Aesthetics and the Arts
    Comparative and World Literature
    Cooperative Organisation, Food Marketing and Rural Development
    Creative Writing
    Criminology
    Dental Public Health
    Digital Arts and Humanities
    Digital Cultures
    Drama and Theatre Studies
    Ecology - Ecological Assessment
    Ecology - Ecological Assessment
    Economic Science
    Economics
    Economics - Health Economics
    Electronic Business
    English - Irish Writing and Film
    English - Modernities: American and British Literature and Film
    English – Texts and Contexts: Medieval to Renaissance
    European Development Studies
    Evidence Based Therapy Practice
    Executive MBA
    Finance - Asset Management
    Management Accounting
    Masters Qualifying Examination (Business)
    Nursing - End of Life Healthcare Ethics
    Print Economic Science



More information on this programme? Visit the website!

« back: Zulassungsbedingungen

next: Contact »

|�|

Institution

University College Cork


Location: Cork Western Road
T12 YN60 Cork
Irland
South-West Region
T   +353 21 4902876
E   graduatestudies@ucc.ie

« back: Masters programme

Facts about the Masters programme

Location

Cork

Field of study

Information Technology & Telecommunications, Science & Mathematics

Degree

Master of Science

Language

English

Start

winter semester - 13 September 2021

Application deadline

ask the institution

Type of study

Part-time

Duration of study: 2 years

Tuition fees EU: 3130 EUR / year

Tuition fees Non EU: 18130 EUR / year

Full-time

Duration of study: 1 year

Tuition fees EU: 6130 EUR / year

Tuition fees Non EU: 18130 EUR / year

ADD TO WATCHLIST
Related & recommended articles:

Facts about the Masters programme

Location

Cork

Field of study

Information Technology & Telecommunications, Science & Mathematics

Degree

Master of Science

Language

English

Start

winter semester - 13 September 2021

Application deadline

ask the institution

Type of study

Part-time

Duration of study: 2 years

Tuition fees EU: 3130 EUR / year

Tuition fees Non EU: 18130 EUR / year

Full-time

Duration of study: 1 year

Tuition fees EU: 6130 EUR / year

Tuition fees Non EU: 18130 EUR / year

MASTER AND MORE Study Portals

Masters portal for Germany: www.master-and-more.de

Masters portal for Austria: www.master-and-more.at

We use cookies to ensure that we give you the best experience on our website. By continuing to browse our site or by clicking OK, we assume your consent to our use of cookies.
Please view our Privacy Policy for further information.
OK