Computational Biology Munster Technological University

Overview

Graduates of the MSc in Computational Biology will effectively bridge the gap between the realms of biology and computer science, acquiring core competencies that span both disciplines. This unique skill set enables graduates to provide advanced computing solutions to tackle complex biological challenges. As the demand for such expertise continues to rise, this programme positions its graduates to significantly contribute to the advancement of biological sciences in the coming decade and beyond. The MSc in Computational Biology is designed to cater to individuals without prior knowledge or experience in computer science. The curriculum includes a series of modules that develop skills from the ground up, alongside advanced biological science modules that complement the computer science components. The programme is delivered in a part-time format online, utilising Munster Technological University’s (MTU) cutting-edge e-learning platform. This flexible model allows students to maintain full-time employment while pursuing their studies part-time. This programme is particularly appealing to those already engaged in full-time work seeking to enhance their qualifications, as well as to international students who may face financial and administrative challenges, such as travel and accommodation costs. For students not currently employed or those whose workplaces cannot facilitate a work-based project, the Department of Biological Sciences provides a project opportunity. Upon successful completion of the MSc in Computational Biology, which includes a Research Project and the submission of a thesis, students will earn 90 ECTS credits on the National Framework of Qualifications (NFQ). Those who complete the taught modules but do not undertake a project will receive a Postgraduate Diploma, which accounts for 60 ECTS credits. The curriculum is structured to ensure that graduates possess high-level knowledge in biological sciences and computational skills applicable to the analysis, interpretation, and visualisation of extensive biological datasets. The MSc in Computational Biology is a collaborative effort between the Departments of Biological Sciences, Computer Science, and Mathematics, aimed at cultivating highly skilled professionals with expert knowledge in both computational and biological sciences—a skill set that is increasingly sought after in the modern job market. The programme spans a minimum of four semesters, with each semester contributing 15 credits through taught modules. In the fourth semester, students will undertake an additional project module worth 30 credits, which must be submitted by 31 August to qualify for graduation in October of that year. This two-stage award system allows for an exit option after accumulating 60 credits, leading to a Level 9 Postgraduate Diploma qualification, while successful completion of the full programme results in a Level 9 Master of Science qualification.

Why Computational Biology at Munster Technological University?

Munster Technological University is recognised for its strong emphasis on research and innovation. The university's collaboration with key industry partners enhances the learning experience, providing students with access to state-of-the-art facilities and resources that support their academic and professional development.

Tuition Fee Breakdown

The tuition fees for the MSc in Computational Biology are as follows:

• International Fee: €3,300 per year
• European Fee: €3,300 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme includes a variety of modules designed to equip students with essential knowledge and skills. Key modules include:

• Introduction to Computational Biology
• Biological Data Analysis
• Advanced Programming for Biologists
• Machine Learning in Biology
• Research Project

Careers with Computational Biology

Graduates of the MSc in Computational Biology can pursue careers in various sectors, including biopharmaceuticals, biotechnology, food and agri-food industries, clinical research, and healthcare. Alumni have successfully secured positions in leading companies and organisations, leveraging their unique blend of biological and computational expertise to excel in their roles.