MSc NanoBio Science
Graduate Taught (level 9 nfq, credits 90)
You will gain interdisciplinary skills in NanoBio Science. You will learn experimental, computational, and theoretical techniques to produce, control, analyze and image biostructures at the nanoscale.
-Interdisciplinary NanoBio Science for Research and Industry
-Experimental and Theoretical Excellence
-World-Class Academic Team
Who should apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. No
The recruits to the course will come from a range of disciplines, including Physics, Theoretical Physics, Chemical Engineering, Mathematics, Biological Sciences and Medicine.
The part time programme is aimed primarily at recent graduates from BSc programmes currently working or seeking employment in the area of NanoBio Science.
Vision and Values Statement
This MSc program provides a positive experience of nanobio science with state-of-the art applications in the nanoworld. The course is designed for applicants who have a strong background in physics, physical chemistry, engineering, material sciences or a related discipline with a significant physics, chemistry and/or mathematical content. The part time programme is aimed primarily at recent graduates from BSc programmes currently working or seeking employment in the area of NanoBio Science.
We encourage/educate our students to become active, lifelong and autonomous learners with broad opportunities for future employment in academic or industrial research, predictive modeling, analytics, informatics and nanoscale-related industry sectors.
Our students will become well-grounded in the fundamentals of modern Applied Physics topics with an appreciation of more specialised knowledge and the current frontiers of research.Students will develop an understanding of the structure, function and regulation of biological systems at the nanoscale and in real time. This requires nanometre and femtosecond (quadrillionth of a second) technologies that will ultimately lead to devices and techniques that mimic those found in nature, such as high-efficiency solar cells based on photosynthetic processes and adaptive biocompatible materials for regenerative medicine. Our inter-disciplinary learning environment relies on staff with a deep level of expertise and emphasises hands-on work through experimental, theoretical or computational work via a research module that is a large part of the MSc programme. Students and staff have access to major technology platforms essential to the conduct of world-class cutting-edge research. Students are prepared for the reasearch project via lectures, practical/laboratory work, seminars, and the advancement of team and self-directed learning skills, project and problem-solving work. Our students will be endowed with professional values including scientific integrity and ethical behaviour.
The graduates from this programme should be familiar with a range of advanced experimental, analytical and data analysis technologies (including software packages, methods and algorithms) and interfacing between physical-based modelling and applied (e.g., biomedical or material science) systems.
Describe the state-of-the art knowledge and skills in NanoBio Science.
Apply knowledge gained and skills developed to specific fundamental or industrial problems.
Use the underlying physics of the field to find, assess and use up-to-date information in order to guide progress.
Engage actively in addressing research topics of current relevance.
Draw on a suite of transferrable skills including critical thinking, problem solving, scientific report writing, communication skills, team-work, independent work, professional networking, project management.
Present findings both orally and in written form, to thesis level.
Formulate a mathematical/computational model of a physical phenomenon, execute and report the results of theoretical and numerical predictions and compare results critically with experimental evidence.