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Cheminformatics and Toxicology (MSc)

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Course Overview
Key Facts
Course Outline
Why Choose This Course?
Course Fees
Find Out More

Course Overview

**IMPORTANT UPDATE: This course has been withdrawn and will not be enrolling in September 2025.**

Cheminformatics is the use of computational techniques to solve chemistry, pharmacology and toxicology problems. Students will understand and apply a range of computational tools to address toxicological questions in preparation for a career in in silico toxicity prediction in the pharma, industry, consultancy, academia and government. The course is delivered over one year by the disciplines of Pharmacology and Therapeutics, Mathematics and Chemistry.

What makes this course unique ...

Integrated training in toxicology and computational approaches (analytics) to develop a highly marketable skill-set for a career in the Pharma industry or organizations that regulate chemical safety
Guest lecturers from regulators and industry that teach from "real-life" cases and that can provide career development advice
An independent research project focussed on solving real world toxicity/toxicity assessment problems

Scholarships available
Find out about our Postgraduate Scholarships here.

Applications and Selections

Applications are made online via the University of Galway Postgraduate Applications System.

A shortlisting procedure will be applied that evaluates:

Undergraduate academic performance throughout their time at university
The content and quality of their personal statement
Prior research or work experience
Reference letters

The ideal student will have a BSc or MSc in chemistry with an interest in toxicology, and computational approaches to toxicity prediction. Students with a background in Pharmacology or Bio-informatics (or related disciplines) will also be encouraged to apply.

Who Teaches this Course

Professor Cathal Seoighe
Dr Pilib Ó Broin
Dr Aaron Golden

Requirements and Assessment

Key Facts

Entry Requirements

Primary degree: A 2.2 degree or higher (or equivalent) in Chemistry, Pharmacology, Biochemistry, or a related discipline.

Language skills: An IELTS score of 6.5 or greater in all categories is required.

Additional Requirements

Recognition of Prior Learning (RPL)

Duration

1 year, full-time

Next start date

This programme below is paused for the Academic year 2024/2025.

A Level Grades ()

Average intake

QQI/FET FETAC Entry Routes

Closing Date

Please view the offer rounds website.

NFQ level

Mode of study

ECTS weighting

Award

CAO

Course code

MSC-CIT

Course Outline

The course is delivered over three semesters. In Semester 1 students learn the fundamentals of pharmacology, toxicology and are introduced to computational drug-design, programming for biology and statistical computing in R. This forms a foundation for more advanced material explored in Semester 2.

In Semester 2 students consider more advanced concepts in toxicology and investigate controversial areas of toxicology. They also develop a theoretical and a practical understanding of high through put and high content screening technologies that are used to generate large data sets for analysis. The students also learn to apply bioinformatic and cheminformatic tools to such large data sets. This semester equips the students to develop and test a novel hypothesis through independent research that is completed in the third semester.

In Semester 3 students work independently but with the guidance of an academic or industry-based thesis supervisor on a cheminformatics research project.

The course involves lectures, laboratory-based training, self-directed learning and a three month independent research project. Competence is assessed through a mixture of written examinations, computer-based examinations, course work (including verbal presentations and poster presentations) and a research thesis.

Why Choose This Course?

Career Opportunities

It costs approximately $1bn and 10–20 years to get a drug from conception to market. While many candidate molecules enter the drug development pipeline, most will fail to become drugs, mainly due to unexpected toxicity. The failure to identify toxicity early in the development process costs the pharmaceutical industry billions of dollars in either failed clinical trials or in withdrawing drugs from the market. At the same time national and trans-national regulatory bodies work to identify the toxicity of chemicals used in food-stuffs, consumer products, industry and agriculture with the aim of building a chemically safe society. Consequently the global ADME toxicology testing market, which aims to identify potential toxicity is projected to surpass $16.2 billion by 2024. In an era when Pharma investment in research and development is falling, scientists to develop and use computational tools that better predict toxicity are at a premium. The value of these skills is further enhanced by the scarcity of training programmes to produce toxicologists with the appropriate computational skills.

Graduates from the course will be employed in the Pharmaceutical industry, the Cosmetics Industry, National and EU Regulatory bodies, Toxicology Consultancies and academia.

Who’s Suited to This Course

Learning Outcomes

Transferable Skills Employers Value

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€9,240 p.a. (including levy) 2025/26

Fees: Tuition

€9,100 p.a. 2025/26

Fees: Student levy

€140 p.a. 2025/26

Fees: Non EU

€27,000 p.a. (€27,140 including levy) 2025/26

For 25/26 entrants, where the course duration is greater than 1 year, there is an inflationary increase approved of 3.4% per annum for continuing years fees.

Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €4,000 towards your tuition (2025/26). You will be liable for the remainder of the total fee. A P1 grant is where SUSI will pay tuition up to a maximum of €6,270. SUSI will not cover the student levy of €140.

Note to non-EU students: learn about the 24-month Stayback Visa here.