Computational Biology - Cork

No background knowledge or experience in Computer Science is required. MSc in Computational Biology students will undertake a series of modules designed to develop these skills from scratch, as well as taking advanced modules in biological sciences that complement the computer science components.

The programme will be delivered part-time and online using Munster Technological University’s (MTU) state of the art e-learning platform. These models will allow students to work fulltime, while studying part-time.

The programme will be particularly attractive to those already in fulltime employment, wishing to upskill, and to international students for whom the financial (e.g., travel and accommodation) and administrative (e.g., visa authorisation) hurdles of pursuing an MSc are removed. Those who wish to take the programme who are not in employment or whose workplace is not suitable for providing a work-based project will be provided with a project from the Department of Biological Sciences.

Students who successfully complete the MSc in Computational Biology, which includes a Research Project and submission of a thesis, will be awarded 90 ECTS credits on the National Framework of Qualifications (NFQ). A Postgraduate Diploma (60 ECTS credits) will be awarded to students who successfully complete the taught modules but who do not undertake a project.

What will I study?
Graduates from the MSc in Computational Biology will possess high-level knowledge in biological science and computational skills which can be applied to the analysis, interpretation, and visualisation of large biological datasets.

The MSc in Computational Biology results from a collaboration between the Departments of Biological Sciences, Computer Science and Mathematics and is designed with the intent of developing highly skilled graduate professionals with expert computational and biology knowledge – a skillet which is in high demand in the modern work environment. This part-time online offering is specifically designed for graduate and professionals from the biopharmaceuticals, biotechnology, food/agri-food, clinical and healthcare sectors.

The programme is delivered fully online and part-time over a minimum of four semesters.

Each semester accrues 15 credits in taught modules. In semester four, the student will undertake an additional project module worth 30 credits, which the learner must submit by 31 August to be considered for graduation by October of that year.

This is a two-stage award; a facility will be in place to exit after 60 credits of learning with a Level 9 Postgraduate Diploma qualification, i.e., PGDip in Computational Biology. Upon successful completion of the programme (90 credits) graduates will receive a Level 9 Master of Science qualification, i.e., MSc in Computational Biology.

Subjects taught

What is a Module?
A module is a standalone unit of learning and assessment and is completed within one semester. A full-time student will normally study six modules in each semester; part-time and ACCS (Accumulation of Credits and Certification of Subjects) students will have flexibility as to the number of modules taken.

For more information on approved modules for this course go to
https://www.mtu.ie/courses/crscobi9/

Entry requirements

Entry to the MSc in Computational Biology will require the following entry criteria to be met:

A H2.2 (or equivalent) in a Level 8 Degree in any branch of biological sciences, or a related discipline.

The language of academic instruction as well as administration is English. An IELTS of 6.0 (or equivalent) with no category below 5.5 will be requested of non-EU students, when deemed appropriate by the Head of Department.

Applicants are also required to submit:

An up-to-date CV with their application
An interview may be required as part of the application.

Duration

2 years, part-time, online.

LOCATION(S)
MTU Bishopstown Campus, Cork, Online

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider