Programme Cooridinator: Dr Edith Chan
Tel: +44 (20) 7679 6710
Teaching Administrator: Mr Nick Bone
Tel: +44 (20) 3108 2308
What is Precision Medicine?
This MSc will equip you with state-of-the-art knowledge relating to mechanistic understanding of disease and technologies that detect, diagnose and specifically treat causal factors of disease. Delivered by clinical and scientific experts from across UCL, as well as visiting industry experts, the interdisciplinary programme is ideally suited for MBBS students doing an intercalated degree who wish to learn more about this growing field of medicine, as well as life science graduates who wish to pursue a career in industry or academia.
What will you learn?
You will develop advanced knowledge in all aspects of Precision Medicine including genomics, bioinformatics, structural biology, genetics and epigenetics of disease and their precision diagnosis and treatment, biomedical imaging techniques, nanomedicines; generation and analysis of big data.
You will gain awareness of the context in which Precision Medicine is being applied in healthcare, research and industry.
You will also develop a range of intellectual, practical and transferable skills essential for a career in Precision Medicine.
Medicine, Industry, Academia, PhD, Research scientist, Information specialist, Medical data analyst
The programme has 5 core modules (5x15 credits), 3 optional modules (3x15 credits) and 1 research project (60 credits).
1 Year full time. 2 Years P/T.
Degree 4 Core Modules 1 Core + 3 Optional Modules Research Project MSc (180 credits) Yes Yes Yes PGDip (120 credits) Yes Yes No PGCert (60 cerdits) Yes No No
Core Modules (15 credit each)
- MEDC0075: Bioinformatics and Structural Biology
- MEDC0085: The Genetic and Epigenetics of Disease
- MEDC0057: Advanced Biomedical Imaging Techniques I
- MEDC0087: Precision Diagnosis for Precision Medicine
- MEDC0086: Multiomics and ethics
Optional Modules (15 credit each, choose 3)
- PHAY0037: Nanomedicines
- MEDC0060: Translational Biomedical Imaging of Disease & Therapy I
- MEDC0066: Practical Laboratory Research Skills
- BIOL0050: Advanced Computational Biology
- CHME0018: Machine Learning in Health Care (Blended Learning)
- CHLD0091: Novel Therapies: From concept to clinical translation
- CHLD0092: Personalised Medicine
Research project (60 credits)
- Minimum 12 weeks
- Expert groups in UCL
- External Companies and Institutes
- Projects cover every aspect of Precision Medicines, in wet labs or compuational, in silico studies.
Some past projects:
- Parkinson’s disease polygenic risk score may affect antipsychotic-induced extra-pyramidal side effect status in people with schizophrenia
- Preclinical models of COPD: A critical analysis of the current ‘state-of-the-art’ disease models used in COPD research
- Targeting HSPD1-dependent metabolic pathways using KHS101 in Non-Small Cell Lung Cancer
- Can DNA methylation-specific ddPCR be used to accurately identify patients with bladder cancer?
- transcriptomic analysis of scleroderma with pulmonary complications
- Machine learning approaches for precision diagnosis and stratification of Juvenile-Onset Systemic Lupus Erythematosus Patients
- High content screening to investigate cellular signalling pathways modified by tyrosine kinase inhibitors: imatinib and nilotinib
There are eight modules carrying 15 credits. Each module will consist of a written exam and coursework .
A research project will be assessed by a video, written dissertation and an oral presentation.
Prof Day leads the UCL Centre for Precision Healthcare and UCL Applied Biomedical Engineering Group. His research takes an interdisciplinary approach to identify and develop new and innovative strategies for healthcare. His core research areas are drug delivery, cell therapy, and medical devices. Richard's background is in cell biology and materials science and his translational research programme focusses on the interaction between cells and materials, which has led to UCL's first biomaterial for tissue regeneration granted approval by the MHRA for clinical use in a regulated device trial.
Prof Selwood is a medicinal chemist with 12 years experience in big pharma at the Wellcome Foundation latterly Glaxo-Wellcome. Whilst at Wellcome Prof Selwood worked on the successful anti-migraine drug zolimitriptan (over $1 billion dollars in sales) and also invented GW4991W94 a compound which completed phase 2 clinical trials.
Prof Selwood moved to UCL in December 1995 to become head of the chemistry group at the Wolfson Institute for Biomedical Research. He founded several spin out companies: ProAxon Ltd, NCE discovery (now Domainex) and Canbex Therapeutics, a spin-out company focussed on MS Therapies.
Dr Chan has over 17 years pharmaceutical and biotech experiences in the area of molecular modeling, cheminformatics, structure/ligand-based drug design, and bio-computing.
She worked in big phama and biotech: Sanofi Aventis and Inpharmatica, which involved all spectrum of drug discovery program. While working in Sanofi Aventis, she helped design ICE inhibitors, one of which has achieved Phase II status. She joined UCL in 2009 and her research is focused on computational drug design.
- A minimum of upper second-class (2.1) Honours degree in a relevant discipline (for example, life sciences, medicine, chemistry, biomedicine) from a UK university or an overseas qualification of an equivalent standard, or an appropriate professional qualification or work experience.
- IELTS - Standard level: Overall grade of 6.5 with a minimum of 6.0 in each of the subtests.
- TOEFL - Standard level: Overall score of 92 with 24/30 in reading and writing and 20/30 in speaking and listening.
- Maximum number of students accepted onto the programme is 20 per annum.
Degree Home/EU Overseas MSc 13450 25610 PG Dip 8680 17460 PG Cert 4470 8680
Click here for more fee details.
One departmental bursaries of £5000 will be awarded based on academic excellence. Apply to UK and EU students only. For full information and to apply, please read and complete an application form and return to Matthew Brown.
For those students working to organize scholarship funding (particularly overseas applicants), early application for admission is strongly encouraged (preferably by May 1st for the following academic year).
How to apply
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