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Cheminformatics and Toxicology (MSc)
Course OverviewCheminformatics 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.
Applications and Selections
Applicants will apply through PAC. A short listing 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
- Dr Howard Fearnhead
- Dr Declan McKernan
- Professor John Kelly
- Professor Cathal Seoighe
- Dr Pilib Ó Broin
- Dr Aaron Golden
- Dr David Cheung
Requirements and Assessment
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.
1 year, full-time
Next start date
A Level Grades ()
Please view the offer rounds website.
Next start date
Mode of study
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 the third semester 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.[an error occurred while processing this directive]
Why Choose This Course?
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
Related Student Organisations
Fees: Student levy
Fees: Non EU
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