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Ireland
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Biological Sciences×

Full Time MSc Degrees in Biological Sciences, Galway, Ireland

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The MSc Biotechnology programme aims to provide participants with the skills, knowledge and experience that are needed to pursue a successful career in biotechnology. Read more
The MSc Biotechnology programme aims to provide participants with the skills, knowledge and experience that are needed to pursue a successful career in biotechnology. Through tutorials, lectures, assignments and a four-month research project, the programme focuses on the adaptation and application of biological processes for commercial and industrial use. This course would be suitable for graduates with a primary degree in the Biological Sciences who wish to extend their knowledge and skills for a career in the biotechnology sector.

Graduates have found employment in the pharmaceutical and food industries, and in diagnostic and research services, with companies such as Abbott, Allergan, ICON Clinical Research, Norbrook Laboratories and Pfizer. They are pursuing careers in manufacturing, quality assurance, product development and research, as well as the broader sectors of sales, marketing, and regulatory affairs.

Programme Content:

Core Modules

Research Project:

Five-month laboratory project with an academic research team on a biotechnology topic.

Frontiers in Biotechnology:

An interactive tutorial-based module that will develop students' transferable skill and knowledge of recent advances in biotechnology.

Current Methodologies in Biotechnology:

Experts will teach methodologies fundamental to biotechnological research and application.

Diagnostic Biotechnology:

A comprehensive overview of immunological and molecular diagnostics applied in current biotechnological applications.

Fundamental Concepts in Pharmacology:

Fundamental understanding of how drugs work and how they are discovered and developed.

Protein Technology:

Enhancing protein production and function of biopharmaceutical and industrial proteins on a commercial scale.

Introduction to Business:

Concepts of marketing, management and accountancy and their application in biotechnology businesses.

Optional Modules (Choose 2)

Advanced Industrial Process:

This module is designed to develop an awareness of microbial technologies and their applications to biotechnology.

Applied Concepts of Pharmacology:

This module introduces students to autonomic pharmacology and drug discovery and development.

Scientific Writing:

This module aims to provide students with an in-dept understanding of the process of scientific publications.

Immunology:

Emphasis on the clinical value of manipulation of the immune system.

Quality Management Systems:

QMS for the efficient and safe running of commercial and industrial biotechnology enterprises.

Cell & Molecular Biology: Advanced Technologies

This module outlines the fundamentals of cell and molecular biology.

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The objective of this course is to introduce students to an inter-disciplinary approach to research, which utilises technologies and skills from a wide spectrum of scientific, engineering and clinical disciplines to address fundamental questions originating in biology and medicine. Read more

Course Objective

The objective of this course is to introduce students to an inter-disciplinary approach to research, which utilises technologies and skills from a wide spectrum of scientific, engineering and clinical disciplines to address fundamental questions originating in biology and medicine. During the course students will carry out a number of practicals. They will be introduced to selected advanced experimental techniques used in biomedical science and industry. The techniques include:
DNA-microarray and RT-PCR, Immunostaining and Confocal Microscopy, Scanning Electron Microscopy, Atomic Force Microscopy and Nano Hardness Tester, Mass Spectrometry, various chromatography methods and Infra-red spectroscopy.

Benefits of the Course

The programme offers the Biological Sciences graduate a means of achieving the mathematical, computational, and instrumentation skills necessary to work in biomedical science. Likewise the Physical Science/Engineering graduate will gain experience in aspects of cell biology, tissue engineering, and animal studies. The course work will draw mainly from courses already on offer to undergraduates in the Science faculty, but will also include new modules developed specifically for this course. Expertise from other research institutes and from industry will be used,where appropriate.

The course covers following areas:
Material Science and Biomaterials
Applied Biomedical Sciences
Cell & Molecular Biology: Advanced Technologies
Fundamental Concepts in Pharmacology
Human Body Structure
Protein Technology
Tissue Engineering
Bioinformatics
Radiation & Medical Physics
Molecular Medicine
Regulatory Compliance in Healthcare Manufacturing
Advanced Tissue Engineering
Introduction to Business
Scientific Writing

Career Opportunities

Graduates of the MSc in Biomedical Science with undergraduate degrees in engineering and science have gone on to work within the medical device and pharmaceutical industry, hospitals and academia.

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The MSc in Cancer Research is aimed at life science and medical graduates who wish to specialise in the field of cancer research. Read more
The MSc in Cancer Research is aimed at life science and medical graduates who wish to specialise in the field of cancer research. The purpose of the programme is to provide students with extensive research-laboratory training and an overarching theoretical knowledge of cancer biology. The course has a unique, research-oriented approach with taught modules, resulting in an internationally recognised MSc degree. The obtained knowledge and skillset enables our graduates to pursue a career as a research-scientist in academia, in the medical field or in the biotechnology or pharmaceutical sector.

Specifically the course aims to:

1. Provide a broad and in-depth knowledge in molecular-, cellular- and clinical cancer biology.

2. Provide knowledge in a broad range of classic as well as state-of-the-art research technologies applied in cancer research.

3. Provide training in laboratory and research skills both at basic and advanced levels by assigning students a laboratory research project through which they will develop both technical competencies and critical thinking abilities.

4. Facilitate the interdisciplinary approach of cancer research by engaging clinical and nonclinical scientists, enabling the cross-fertilisation of ideas and thus promoting medically-focused research.

The MSc in Cancer research is a modular course, consisting of 30% taught material (equalling 25 ECTS units) combined with a strong, 70% research element (equal to 65 ECTS) allowing ample time for the students to gain in-depth research exposure.

The course material is delivered using a blended learning format (combination of face-to-face/traditional-format lectures, tutorials, self-directed learning and assignments) that will not only deliver the information the students have to attain, but also trains the students how to research independently and evaluate the information critically, which are key and valuable skills for a highly qualified cancer research scientist.

The research element will encompass two semesters. After an induction phase, the students will work on one research project throughout the two semesters allowing them to acquire a broad range of research skills ranging from state-of-the-art technologies through data interpretation to experimental design and data presentation. Available research project titles in participating laboratories of the School of Natural Sciences and other programme-associated Institutes will be provided to the students from which they can choose their project options. The students will write the MSc thesis on the findings of their research project..

Overall, the knowledge and laboratory experience providesour graduates with a great advantage when competing for either academic or industry-linked careers.

For further information please visit: http://www.nuigalway.ie/courses/research-postgraduate-programmes/structured-phd/cancer-research.html


How to apply:
Applications are made online via Postgraduate Applications Centre (http://www.pac.ie/nuigalway). The following documents must be supplied:
- A Curriculum Vitae
- A personal statement of approximately 600 words explaining why the the applicant wishes to undertake the Structured MSc in Cancer Research programme and how the programme fits into their career objectives.
Academic transcripts, unless the applicant is a graduate or current student of NUI Galway.

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Introduction to programming for biology. Introduction to statistical computing in R. Algorithms for molecular biology. Medical genomics I. Read more

Core modules

• Introduction to programming for biology
• Introduction to statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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Programming for biology. Overview of molecular biology/genetics concepts. Statistical computing in R. Algorithms for molecular biology. Read more

Core modules

• Programming for biology
• Overview of molecular biology/genetics concepts
• Statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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