Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE).
The Master's Programme is offered by the Faculty of Science. Teaching is offered in co-operation with the Faculty of Medicine and the Faculty of Biological and Environmental Sciences. As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored from the offering of the three campuses provides an attractive educational profile. The LSI programme is designed for students with a background in mathematics, computer science and statistics, as well as for students with these disciplines as a minor in their bachelor’s degree, with their major being, for example, ecology, evolutionary biology or genetics. As a graduate of the LSI programme you will:
Further information about the studies on the Master's programme website.
The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.
Algorithmic bioinformatics with the Genome-scale algorithmics, Combinatorial Pattern Matching, and Practical Algorithms and Data Structures on Strings research groups. This specialisation area educates you to be an algorithm expert who can turn biological questions into appropriate challenges for computational data analysis. In addition to the tailored algorithm studies for analysing molecular biology measurement data, the curriculum includes general algorithm and machine learning studies offered by the Master's Programmes in Computer Science and Data Science.
Applied bioinformatics, jointly with The Institute of Biotechnology and genetics.Bioinformatics has become an integral part of biological research, where innovative computational approaches are often required to achieve high-impact findings in an increasingly data-dense environment. Studies in applied bioinformatics prepare you for a post as a bioinformatics expert in a genomics research lab, working with processing, analysing and interpreting Next-Generation Sequencing (NGS) data, and working with integrated analysis of genomic and other biological data, and population genetics.
Biomathematics with the Biomathematics research group, focusing on mathematical modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of topics ranging from problems at the molecular level to the structure of populations. To tackle these problems, the research group uses a variety of modelling approaches, most importantly ordinary and partial differential equations, integral equations and stochastic processes. A successful analysis of the models requires the study of pure research in, for instance, the theory of infinite dimensional dynamical systems; such research is also carried out by the group.
Biostatistics and bioinformatics is offered jointly by the statistics curriculum, the Master´s Programme in Mathematics and Statistics and the research groups Statistical and Translational Genetics, Computational Genomics and Computational Systems Medicine in FIMM. Topics and themes include statistical, especially Bayesian methodologies for the life sciences, with research focusing on modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of collaborative topics in various biomedical disciplines. In particular, research and teaching address questions of population genetics, phylogenetic inference, genome-wide association studies and epidemiology of complex diseases.
Eco-evolutionary Informatics with ecology and evolutionary biology, in which several researchers and teachers have a background in mathematics, statistics and computer science. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Evolutionary biology studies processes supporting biodiversity on different levels from genes to populations and ecosystems. These sciences have a key role in responding to global environmental challenges. Mathematical and statistical modelling, computer science and bioinformatics have an important role in research and teaching.
Systems biology and medicine with the Genome-scale Biology Research Program in Biomedicum. The focus is to understand and find effective means to overcome drug resistance in cancers. The approach is to use systems biology, i.e., integration of large and complex molecular and clinical data (big data) from cancer patients with computational methods and wet lab experiments, to identify efficient patient-specific therapeutic targets. Particular interest is focused on developing and applying machine learning based methods that enable integration of various types of molecular data (DNA, RNA, proteomics, etc.) to clinical information.
This research-based course has a taught component that is the same as an MSc. It provides a springboard into a career that involves a working knowledge of scientific research.
The course is designed for graduates with a BSc in the life sciences or other science disciplines, and for intercalating and fully qualified MBBS or BDS students. It can be taken either as a stand-alone qualification or as an entry route onto a PhD or MD.
The taught component of the course includes subject-specific content in the area of translational medicine and therapeutics. You have the flexibility to develop your own bespoke course by selecting additional, complementary modules. You will also participate in training in general research principles, and other professional and key skills.
Subject-based modules in translational medicine and therapeutics provide the opportunity to learn about the development and evaluation of new medicines and to develop skills in translational research relating to therapeutics. Teaching and supervision is provided by both university-based academics and experts from the pharmaceutical industry.
Your research project comprises the major element of the course. This project will involve 24 weeks of research in an area of translational medicine and therapeutics under the supervision of an expert academic researcher in the field.
The course allows you to experience an internationally competitive research area, predominantly in academia but also potentially in industry.
Translational Medicine and Therapeutics MRes is closely linked to a suite of MRes courses that you may also be interested in:
Our Medical Sciences Graduate School is dedicated to providing you with information, support and advice throughout your research degree studies. We can help and advise you on a variety of queries relating to your studies, funding or welfare.
Our Research Student Development Programme supports and complements your research whilst developing your professional skills and confidence.
You will make an on-going assessment of your own development and training needs through personal development planning (PDP) in the ePortfolio system. Our organised external events and development programme have been mapped against the Vitae Researcher Development Framework to help you identify how best to meet your training and development needs.
The UCL Institute for Women's Health is an internationally recognised centre of excellence and leading provider of postgraduate taught programmes in women's health. This new MRes gives students the opportunity to take a programme with greater emphasis on research skills and experience, and on development of transferable academic and professional skills.
Students choose taught modules and select research areas from a variety of subjects across reproductive science and women's health, spanning the four themes of the institute: maternal and fetal health; neonatology; women’s cancer; and reproductive health. Students learn how to conduct an independent research project. They will also gain practical experience and theoretical understanding in research methodologies and critical analysis.
Students undertake modules to the value of 180 credits.
The programme consists of four optional modules (60 credits) and a research project (120 credits).
All students undertake an independent research project in women's health.
Students may choose to focus on a laboratory or non-laboratory project (such as a social or ethical-based project), or an epidemiology project (analysing cohort or registry data).
Students choose four optional modules; a minimum of three from the reproductive science and women's health modules listed below. One option can also be chosen from the transferable skills modules marked * below.
The independent research project in women's health culminates in a dissertation of 20,000 words. Students will be involved in the conceptualisation, design, data collection, analysis, interpretation and presentation of the project. This will allow the development of research skills in a specific field as well as a range of transferable skills, including literature searching, statistical analysis and written and verbal communication.
Teaching and learning
In addition to taught modules and the long research project, there is a full induction week at the start of the programme and six careers afternoons. A comprehensive range of assessment methods cover the key research, communication and practical skills required for future employment.
Further information on modules and degree structure is available on the department website: Reproductive Science and Women's Health MRes
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
The first cohort of students on this programme will graduate in 2018. We expect the programme to prepare science-orientated students to go on to further research. Medically-orientated students may wish to develop their careers in the field of reproductive science and women’s health or undertake further research.
The programme provides students with an excellent introduction to research. It will equip them with the general and scientific skills required to embark on lifelong careers in research and related fields.
The UCL Institute for Women's Health delivers excellence in research, clinical practice, education and training in order to make a real and sustainable difference to women's and babies' health worldwide.
The UCL/UCL Hospitals NHS Foundation Trust collaboration provides an academic environment in which students can pursue graduate studies with world-class researchers and clinicians. We offer excellent basic science facilities, opportunities to work in cutting-edge clinical and translational research, and expertise in study methodology.
A comprehensive careers programme is embedded in all our degrees. This ensures students are exposed to a range of different job opportunities. We have alumni who give talks on their diverse career journeys.
This new and innovative course builds upon the integrated nature of the School of Dentistry’s clinical and basic science divisions, and aims to prepare future researchers, from scientific or clinical backgrounds for research careers based in addressing oral health needs. You’ll gain a thorough background in oral sciences, the investigative, cutting edge technologies that enable oral scientific discovery and the necessary training in research governance and rigour. All areas of translational research pathways will be addressed, including aspects of commercialisation which will be taught through the Leeds University Business School (LUBS). Disease focused modules provide opportunities for in-depth exploration with research experts in the fields of Cancer, Musculoskeletal and Oral and systemic disease links.
Our teaching staff includes world leading experts with track records in translating research discoveries into novel healthcare products and practices. Student integration within the wider Dental school will be facilitated by undertaking recently updated modules shared with students from other MSc programmes.
Aimed at dental and biosciences graduates, the course will facilitate a career path focussed on oral research and its translation into positive impacts on health.
The programme will:
Teaching will be split between the Dental school on the main campus and the Wellcome Trust Brenner Building (WTBB) at the St James’s University Hospital. The WTBB is a modern purpose built research facility, housing cutting edge facilities in imaging, tissue and microbiological culture and next generation sequencing technologies. On the main campus students can benefit from all the expertise, facilities (such as the Leeds Dental Translational and Clinical Research Unit) and support provided by the Dental school.
Our course emphasises student directed and multidisciplinary learning. Teaching methods include lectures, seminars and workshops, complemented by e-learning and will be delivered by research active scientists and clinicians with additional input from industrial partners and Leeds University Business School (LUBS) academics.
Summative assessment will provide you with on-going feedback on your depth of subject knowledge and skills. Assessment methods for formative and summative assessment will include oral and poster presentations, unseen examinations and literature reviews. Exercises to identify research questions formulate research plans and prepare mock applications for funding and ethical/ governance approvals will also contribute to assessment.
You will gain insight into all stages of translational research, preparing you for a career working across multi-disciplinary teams within research and innovation management. The course aims to enhance your career prospects of securing PhD studentship positions, whether that be in pre-clinical or clinical research.
The innovation management in practice module enables you to learn about the commercial aspects of translational research. It may be that you want to go into the oral healthcare industry, so knowledge of business skills will be a useful transferable skill.
You may want to go into academic teaching positions within your own country; this MSc will provide the knowledge required to teach oral biology at undergraduate level.
Our MSc Health Data Science course aims to create a new breed of scientist who can understand the healthcare sector and medicine, how data is collected and analysed, and how this can be communicated to influence various stakeholders.
The current model of healthcare delivery in the UK is subject to unprecedented challenges. An ageing population, the impact of lifestyle factors and increasing costs mean that the existing approaches may become unsustainable.
This, coupled with a drive towards personalised medicine, presents an opportunity for a step change in healthcare delivery.
To do this, we need to make best use of the health data we collect and create a better understanding of the relationship between treatments, outcomes, patients and costs.
This MSc promotes the need for translational thinking to provide the knowledge, skills and understanding that will be applied across new challenges within healthcare delivery.
Students from a variety of professional backgrounds will benefit from the course, as the structure of the MSc ensures that you will share this knowledge with each other and learn to work in multidisciplinary teams, rather than in specialist silos.
The course has eight taught units covering key skills for health data science. Seven units are core and there is one optional unit depending on training needs and background. For those studying for an MSc, there is also a 60-credit research project.
This course will allow you to:
Research project options
MSc students will have an opportunity to conduct their research project in other settings such as the NHS and the biopharmaceutical industry, as well as academia.
The course covers four main areas that bring together technical, modelling and contextual skills to apply these to real world problems when harnessing the potential of health data.
In each of the units that deliver the key skills, both the importance of the patient and the governance surrounding working in the healthcare environment (especially structures around information governance) is embedded throughout.
Each unit will use case studies provided by existing work and research at the Health eResearch Centre(HeRC). The course will focus on large and complex health datasets (often routinely collected) in environments that safeguard patient confidentiality.
The course will encourage intellectual curiosity, creativity, and critical thinking, providing transferable skills for lifelong learning and research and cultivation of reflective practice.
Through the development of these innovation, critical, evaluative, analytical, technical, problem solving and professional skills, you will be able to conduct impactful work and advance healthcare delivery.
We see learning and teaching as collaborative knowledge construction, which recognises the contribution of all stakeholders (academic staff, service users and carers and students). This is demonstrated in the course through contributions made by these stakeholders through case studies, examples, invited seminars and participation in group work.
A variety of teaching methods will be used within the constraints of the method of delivery. The course will be student centred and will be delivered from the outset using a combination of face-to-face, distance learning and blended learning units.
A range of assessments are used within each course unit and across the course as a whole.
All assessments require you to integrate knowledge and understanding, and to apply this to case studies and the outcomes of each unit.
Assessment will occur in a variety of forms including (but not exclusively) essays, case studies, assessed seminar/tutorial presentations and literature reviews.
Written assignments and presentations have a formative role in providing feedback (particularly in the early stages of course units) as well as contributing to summative assessment.
Online quizzes provide a useful method of regular testing, ensuring that you actively engage with the taught material.
The assessment of tutorials contains an element of self and peer evaluation, so you can learn the skills associated with the effective management of and participation in collaborative activity.
The course also places an emphasis on group work, as this a vital skill for professionals operating in a multidisciplinary area such as health data science, and this is shown in the teaching methods and assignments.
Each unit has a different emphasis on the group work assessment based on the nature of the material being covered, how they are to apply the knowledge and the work they are to complete.
The dissertation for the MSc requires you to undertake an extended written piece of work (10,000 to 15,000 words) that focuses on a specific aspect of health data science.
Dementia (including a raft of neurodegenerative diseases such as Alzheimer’s Disease) has recently become the leading cause of death in the UK. Stem cells are a novel and relatively young branch of scientific research that hold the potential for not only therapies but to be able to accurately model these distinctly human diseases.
This unique programme will offer students real-world perspectives from patients, carers, scientists and a range of health care professionals including world-leading experts on the impact of neurological diseases.
This programme offers cutting edge translational neuroscience focused on stem cells, neurodegenerative diseases, regeneration and models (both animal and cell). Furthermore the inclusion of patients and importantly their carers and the real-life impacts of these diseases on individuals will be a common thread running throughout this programme making it truly unique and exceptionally novel.
This programme is designed for medical and/or scientific professionals and aims to introduce students to the fields of neurodegenerative diseases, stem cells, industry and emerging therapeutic opportunities in regenerative / translational neurology. Overall students will gain the knowledge and understanding of the clinical, real-life impact and scientific realities of these fields and thus advance their own learning and be able to carry this forward into their future careers.
Therefore students will be introduced to a range of topics as they progress through the programme from introducing the basic anatomy, structure and development of the central nervous system, a critical understanding of stem cells including sources, locations and roles, an introduction to multiple neurodegenerative diseases (such as Alzheimer’s, Motor Neurone Disease and Parkinson’s disease), from both clinical and patient angles, before being introduced to in vitro and in vivo modelling of these diseases, neuroimaging techniques, stem cells and industry.
This part-time, fully online programme will support the need for up-to-date knowledge, skills and theory in a wide variety by the use of not only world leading clinical and scientific experts but also by using the real-life impacts as viewed by patients, the people who care for them and the frontline health professionals. All of this expertise will be presented utilising a range of techniques including: online lectures, practical studies, directed readings and other video and audio resources.
Discussion boards will provide directed assessment tasks while input from expert guest lecturers and tutors offer students opportunity for collaborative critical discourse and debate of current issues.
Within the programme, students can progress from Postgraduate Certificate (60 credits), to Postgraduate Diploma (120credits) and to Master of Science degrees (180 credits) as they successfully complete the required number of credits for each level and can therefore stop at any stage or continue onwards depending on their situation.
Composed of 4 core courses to provide the fundamental foundations for the Diploma and MSc but can also be taken as a self-contained PGCert. It will cover fundamental areas including key basic research skills (such as how to critically evaluate scientific manuscripts, as well as a basic understanding of statistics) whilst introducing students to the central nervous system, its basic anatomy and development and stem cells. In parallel students would cover an introduction to neurodegenerative diseases (that would include Alzheimer’s Disease, Parkinson’s Disease and Motor Neurone Disease) before being introduced to in vitro and in vivo modelling of these diseases. Finally students would also learn about neuroimaging and its potential roles for scientific research.
Expands on the PGCert courses as well as introducing greater depth to novel areas such as the roles of pharma and industry with respect to stem cells. A proportion of the Diploma credits are elective and students will be assisted in choosing appropriate options from across the broad spectrum available from Edinburgh University that are relevant to their own situation, employment and career goals.
Students have the opportunity to explore a specialist area from within the broad spectrum of stem cells, regeneration and translational neuroscience in the form of either a dissertation, or, a structured project (the student would themselves have to source this if desired), which would aim to deliver a ‘real world’ project with a direct impact for an employer, organisation or personal goal. A third option available for students is a choice of 60 fully taught credits.
The minimum recommended time for completion of the full Masters programme is three years, and the maximum time for completion is six years. The Certificate and Diploma can be completed on a pro rata basis.
Postgraduate Professional Development (PPD)
Postgraduate Professional Development (PPD) is aimed at working professionals who want to advance their knowledge through a postgraduate-level course(s), without the time or financial commitment of a full Masters, Postgraduate Diploma or Postgraduate Certificate.
You may take a maximum of 50 credits worth of courses over two years through our PPD scheme. These lead to a University of Edinburgh postgraduate award of academic credit. Alternatively, after one year of taking courses you can choose to transfer your credits and continue on to studying towards a higher award on a Masters, Postgraduate Diploma or Postgraduate Certificate programme.
Although PPD courses have various start dates throughout a year you may only start a Masters, Postgraduate Diploma or Postgraduate Certificate programme in the month of September. Any time spent studying PPD will be deducted from the amount of time you will have left to complete a Masters, Postgraduate Diploma or Postgraduate Certificate programme.
Potential career paths, exits routes and employers are very diverse and depend on the students chosen carer. For students working in a clinical environment this programme would offer them career advancement/specialism within their clinical setting.
For students coming from a scientific background there is the opportunity to improve carer prospects in laboratory research settings or alternatively to help in progressing to a PhD.