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WHAT YOU WILL GAIN. - Practical guidance from biomedical engineering experts in the field. - 'Hands on' knowledge from the extensive experience of the lecturers, rather than from only the theoretical information gained from books and college reading. Read more
WHAT YOU WILL GAIN

- Practical guidance from biomedical engineering experts in the field
- 'Hands on' knowledge from the extensive experience of the lecturers, rather than from only the theoretical information gained from books and college reading
- Credibility as a biomedical engineering expert in your firm
- Skills and know-how in the latest technologies in biomedical engineering
- Networking contacts in the industry
- Improved career prospects and income
- An EIT Advanced Diploma of Biomedical Engineering

Next intake is scheduled for June 06, 2017. Applications are now open; places are limited.

INTRODUCTION

Biomedical engineering is the synergy of many facets of applied science and engineering. The advanced diploma in biomedical engineering provides the knowledge and skills in electrical, electronic engineering required to service and maintain healthcare equipment. You will develop a wide range of skills that may be applied to develop software, instrumentation, image processing and mathematical models for simulation. Biomedical engineers are employed in hospitals, clinical laboratories, medical equipment manufacturing companies, medical equipment service and maintenance companies, pharmaceutical manufacturing companies, assistive technology and rehabilitation engineering manufacturing companies, research centres. Medical technology industry is one of the fast-growing sectors in engineering field. Join the next generation of biomedical engineers and technicians and embrace a well paid, intensive yet enjoyable career by embarking on this comprehensive and practical program. It provides a solid overview of the current state of biomedical engineering and is presented in a practical and useful manner - all theory covered is tied to a practical outcomes. Leading biomedical/electronic engineers with several years of experience in biomedical engineering present the program over the web using the latest distance learning techniques.

There is a great shortage of biomedical engineers and technicians in every part of the world due to retirement, restructuring and rapid growth in new industries and technologies. Many companies employ electrical, electronic engineers to fill the vacancy and provide on the job training to learn about biomedical engineering. The aim of this 18-month eLearning program is to provide you with core biomedical engineering skills to enhance your career prospects and to benefit your company/institution. Often universities and colleges do a brilliant job of teaching the theoretical topics, but fail to actively engage in the 'real world' application of the theory with biomedical engineering. This advanced diploma is presented by lecturers who are highly experienced engineers, having worked in the biomedical engineering industry. When doing any program today, a mix of both extensive experience and teaching prowess is essential. All our lecturers have been carefully selected and are seasoned professionals.

This practical program avoids weighty theory. This is rarely needed in the real world of industry where time is short and immediate results, based on hard-hitting and useful know-how, is a minimum requirement. The topics that will be covered are derived from the acclaimed IDC Technologies' programs attended by over 500,000 engineers and technicians throughout the world during the past 20 years. And, due to the global nature of biomedical engineering today, you will be exposed to international standards.

This program is not intended as a substitute for a 4 or 5 year engineering degree, nor is it aimed at an accomplished and experienced professional biomedical engineer who is working at the leading edge of technology in these varied fields. It is, however, intended to be the distillation of the key skills and know how in practical, state-of-the-art biomedical engineering. It should also be noted that learning is not only about attending programs, but also involves practical hands-on work with your peers, mentors, suppliers and clients.

WHO WOULD BENEFIT

- Electrical and Electronic Engineers
- Electrical and Electronic Technicians
- Biomedical Equipment/Engineering Technician
- Field Technicians
- Healthcare equipment service technicians
- Project Engineers and Managers
- Design Engineers
- Instrumentation Engineers
- Control Engineers
- Maintenance Engineers and Supervisors
- Consulting Engineers
- Production Managers
- Mechanical Engineers
- Medical Sales Engineers

In fact, anyone who wants to gain solid knowledge of the key elements of biomedical engineering in order to improve work skills and to create further job prospects. Even individuals who are working in the healthcare industry may find it useful to attend to gain key, up to date perspectives.

COURSE STRUCTURE

The program is composed of 18 modules. These cover the basics of electrical, electronic and software knowledge and skills to provide you with maximum practical coverage in the biomedical engineering field.

The 18 modules will be completed in the following order:

- Basic Electrical Engineering
- Technical and Specification Writing
- Fundamentals of Professional Engineering
- Engineering Drawings
- Printed Circuit Board Design
- Anatomy and Physiology for Engineering
- Power Electronics and Power Supplies
- Shielding, EMC/EMI, Noise Reduction and Grounding/Earthing
- Troubleshooting Electronic Components and Circuits
- Biomedical Instrumentation
- Biomedical Signal Processing
- C++ Programming
- Embedded Microcontrollers
- Biomedical Modelling and Simulation
- Biomedical Equipment and Engineering Practices
- Biomedical Image Processing
- Biomechanics and Assistive Technology
- Medical Informatics and Telemedicine

COURSE FEES

What are the fees for my country?

The Engineering Institute of Technology (EIT) provides distance education to students located almost anywhere in the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. A full list of fees in a currency appropriate for every country would be complex to navigate and, with today’s exchange rate fluctuations, difficult to maintain. Instead we aim to give you a rapid response regarding fees that is customised to your individual circumstances.

We understand that cost is a major consideration before a student commences study. For a rapid reply to your enquiry regarding courses fees and payment options, please enquire via the below button and we will respond within 2 business days.

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The Engineering faculties of the Universiteit Gent and Vrije Universiteit Brussel organize the interuniversitary Master of Biomedical Engineering and this in a close collaboration with the Medical faculties of both universities. Read more

About the programme

The Engineering faculties of the Universiteit Gent and Vrije Universiteit Brussel organize the interuniversitary Master of Biomedical Engineering and this in a close collaboration with the Medical faculties of both universities. As a result of recent evolutions towards internationalization, we also offer a complete English master program in biomedical engineering. Both the Dutch and English masters are two-year programs and lead to a joint degree from UGent and VUB. Students study either in Ghent or in Brussels upon their own choice.

Tackle complex problems in biology, medicine and health sciences

Biomedical Engineering is a branch of Engineering where students acquire knowledge and skills which can be applied to tackle complex problems in biology, medicine and health sciences. The biomedical engineer herein strives towards a solution in balance with technological, economical and ethical constraints.

Learning outcomes

Graduated students master the fundamentals of current biomedical engineering and have a thorough knowledge of the basic concepts and an overview of the main applications in various fields of biomedical engineering (medical imaging, medical signal processing, medical physics, medical device technology, tissue engineering, biomaterials...). The graduated student has acquired the necessary research skills which allow him or her to independently analyze and solve a problem, and recognizes the importance of permanent learning in a continuously evolving domain.

Work in multidsciplinary teams:
The biomedical engineer is trained to work in multidisciplinary teams (influx of students with different bachelor backgrounds, lecturers from various faculties and scientific domains, multi-disciplinary projects) and has the required communication skills.

Awareness of ethical and socio-medical aspects:
The biomedical engineer is aware of the ethical and socio-economic aspects of biomedical engineering and healthcare, and of the social responsibility of a master in engineering.

Career possibilities:
In this master's course, knowledge and skills in all fields in biomedical engineering will be given, so when you finished the Master's programme, you can be employed as generalist, and you will also be specialised in one particular field of biomedical engineering.

As a student, you are able to select any field within biomedical engineering. You will be trained to work in interdisciplinary project teams, composed of engineers and medical specialists. To prepare further for interdisciplinary teams, students and scholars are treated as equals. To train for working in a European setting, you will get knowledge in the health care situation in several countries in Europe, and you will be trained in cultural differences between European countries.

In summary, the goal of this course is to acquire the ability to:
- work in interdisciplinary (engineering – medical) teams
- work in international and thus intercultural (European) teams
- communicate effectively with experts in (bio)medicine and technology
- perform fundamental research in Biomedical Engineering.
- design innovative devices to improve diagnostics and treatment of patients
- follow a post-Master’s training in Biomedical Engineering
- perform a PhD study
- train continuously (life-long-learning)

Curriculum

Available on http://www.vub.ac.be/en/study/biomedical-engineering/programme

The programme consists of 120 credits, evenly distributed over 4 semesters of each 12 weeks. The specific part of the master involves six basic courses for a total of 30 credits (Quantitative cell biology, Modelling of Physiological Systems, From Genome to Organism, Biomechanics, Bio-electronics and Biomaterials) and 42 credits dedicated to specialist courses in biomedical engineering (Biomedical Imaging, Neuromodulation and Imaging, Medical Physics, Medical Equipment, Biomedical Product Development, Artificial Organs: Technology and Design, Health Care Organization and Informatics, Human and Environment, Safety and Regulations* and Seminars: Innovations in Biomedical Engineering). The programme is further complemented with a master thesis (24 credits) and elective courses for a total of 24 credits.

Internships and Project Work

Students are encouraged to do an internship with a company or hospital in Belgium or abroad during the summer holiday period. Internships can be valorised in the curriculum, with an internship of 4 weeks accounting for an elective course of 3 credits, and an internship of minimally 6 weeks accounting for 6 credits. A maximum of 6 credits is allowed. In addition, students can opt for the elective 3 credit course “Multidisciplinary Biomedical Project” during which they can work on an assignment or a project.

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1. Big Challenges being addressed by this programme – motivation. Human health and quality of life is one of the most critical challenges facing humanity. Read more

About the Course

1. Big Challenges being addressed by this programme – motivation

• Human health and quality of life is one of the most critical challenges facing humanity.
• The challenge is all the greater due to a rapidly increasing and rapidly aging global population that now exceeds 7 billion.
• Biomedical Engineering addresses these issues directly, with engineers innovating, analysing, designing and manufacturing new medical implants, devices and therapies for the treatment of disease, injuries and conditions of the human body, to restore health and improve quality of life.
• CNN lists Biomedical Engineering as No. 1 in the “Best Jobs in America” 2013.

2. Programme objectives & purpose

The objective of the programme is to generate graduates with a sound grounding in engineering fundamentals (analysis, design and problem solving), but who also have the multi-disciplinary breadth that includes knowledge of human biology and clinical needs and applications, to be able to make an immediate impact in the field on graduation, in either the academic research or medical technology industry domains. Ultimately the programme aims to generate the future leaders of the national and international medical technology industry, and of academic research and teaching in biomedical engineering.

3. What’s special about CoEI/NUIG in this area:

• NUI Galway pioneered the development of educational programmes in Biomedical Engineering in Ireland, introducing the country’s first bachelor’s degree in Biomedical Engineering in 1998, that was the first to achieve professional accreditation from Engineers Ireland in 2004, and at the graduate level with the Structured PhD programme in Biomedical Engineering and Regenerative Medicine (BMERM) in 2011.
• NUI Galway has been at the forefront of world-class research in biomedical engineering for over 20 years and has pioneered multi-disciplinary research in biomedical engineering and science, with the establishment of the National Centre for Biomedical Engineering Science (NCBES) in 1999, and up to the present day with the announcement of NUI Galway as the lead institution in a new Science Foundation Ireland funded Centre for Research in Medical Devices (CÚRAM).
• NUI Galway has a very close and deep relationship with the medical device industry locally, nationally and internationally, at many levels, from industry visits, guest lectures and student placements, up to major research collaborations.
• Many of our engineering graduates now occupy senior management and technical positions in the medical device industry nationally and internationally.

4. Programme Structure – ECTS weights and split over semester; core/elective, etc.:

• 90ECTS programme
• one full year in duration, beginning September and finishing August
• comprises:
- Foundational taught modules (20 ECTS)
- Advanced taught modules (40 ECTS)
- Research/Industry Project (30 ECTS).

5. Programme Content – module names

Sample Modules:

Advanced Finite Element Methods
Advanced Computational Biomechanics
Advanced Biomaterials
Mechanobiology
Bioinstrumentation Design
Medical and Surgical Practice
Stem Cells and Gene Therapy
Translational Medicine
Polymer Engineering
Advanced Engineering Statistics
Systems Reliability
Lean Systems
Research Methods for Engineers
Financial Management
Regulatory Affairs and Case Studies
Technology, Innovation and Entrepreneurship

6. Any special funding arrangements – e.g. Irish Aid

Comment (PMcH): CoEI scholarships a great idea.

7. Opportunity for number of Industrial & Research internships.

Students enrolled on this programme will have an opportunity to apply for a one-year post-graduation internship in either a related industry or research group in Ireland.

8. Testimonials.

“The Biomedical Engineering programme at NUI Galway has given me the fundamental engineering skills and multi-disciplinary background in biology and clinical application that I needed to be able to make an immediate impact in industry and to be able to design and develop new medical implants and devices. My graduate education through my PhD in bone biomechanics was also very important in this because I directly combined engineering and biological analysis techniques to better understand how stem cells generate new bone, showing me how biomedical engineers can play a critically important role in generating new knowledge on how the body works, and how new treatments can be developed for diseases and injuries, such as osteoporosis.” Evelyn Birmingham, BE Biomedical Engineering (2009), PhD Biomedical Engineering (2014), R&D Engineer, Medtronic Vascular, Galway.

For further details

visit http://nuigalway.ie/engineering-informatics/internationalpostgraduatestudents/

How to Apply:

Applications are made online via the Postgraduate Applications Centre (PAC): https://www.pac.ie
Please use the following PAC application code for your programme:

M.Sc. Biomedical Engineering - PAC code GYE24

Scholarships :

Please visit our website for more information on scholarships: http://www.nuigalway.ie/engineering-informatics/internationalpostgraduatestudents/feesandscholarships/

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Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Data Mining
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

Academic expertise

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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USF’s Master of Science in Health Informatics program is focused on training the next generation of informaticists in the art and science of health data analytics. Read more

The Art and Science of Health Data Analytics

USF’s Master of Science in Health Informatics program is focused on training the next generation of informaticists in the art and science of health data analytics. Healthcare and technical professionals learn everything from the basics of programming to cutting-edge statistical and machine learning methods in interprofessional, project-based classrooms.

Two tracks are available for students to pursue. Students may follow a track, or take any combination of courses that best suit their goals:

• Health Data Analytics - for students who want advanced training in data science
• Clinical Informatics - for clinicians and executives who are preparing for leadership positions

We seek highly motivated students who have a passion for improving healthcare through the application of data science and information technology. Our ideal student will have either:

• Clinical background (e.g., MD, RN, DPT, PsyD, PharmD, Allied Health, other post-baccalaureate clinical degree, or equivalents)
• Science or Engineering background with an interest in healthcare
• Healthcare Executives, Health IT leaders, and others involved in healthcare that wish to gain broad and deep knowledge in Health Informatics.
• Strong academic background, passion for healthcare, and quantitative aptitude

Program Features

REAL-WORLD PROBLEMS IN THE CLASSROOM

Classroom projects engage interdisciplinary teams of students to tackle real-world problems from faculty research or industry partners.

PROGRAMMING AND DATA ANALYTICS SKILLS

All students, regardless of background, learn programming skills in the context of working with healthcare data.

ENTREPRENEURIAL PERSPECTIVE

Located in the epicenter of the global digital revolution, our program engages with the Silicon Valley startup community. Interested students are given startup mentoring opportunities.

INTERNSHIP AND PRACTICUM OPPORTUNITIES

Students are required to complete a Capstone Experience consisting of original research, substantial project in health and biomedical informatics, or an internship with industry partner. We provide support for students in finding their internships and projects.

ADVANCED CLINICAL TRAINING

Clinically trained students are able to take graduate level nursing courses that fully count toward an advanced nursing degree including Doctor of Nursing Practice (DNP) or Master of Science in Nursing (MSN) at USF.

Job Outcomes

Our graduates are well-prepared for current and future challenges in this field. Importantly, our graduates have the technical skill to work with computer scientists and programmers, and a deep understanding of the healthcare environment to work with doctors, nurses, psychologists, and other healthcare professionals.

Our graduates have found opportunities in large hospitals or medical centers, research institutions, startups, government health agencies, and global health organizations. Positions have included Clinical Data Analyst, Director of Clinical Informatics Research, Statistical Analyst, Senior Programmer Analyst and Advanced Research or Clinical training (MD, DNP, PhD in Biomedical Informatics).

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The programme provides the student with an Engineering education applied to medical and biological issues, through deep basic and specialist training in various biomedical topics. Read more

Mission and goals

The programme provides the student with an Engineering education applied to medical and biological issues, through deep basic and specialist training in various biomedical topics. The educational path is intended to train students for designing equipment, devices, materials and procedures and for a correct introduction, development and management of biomedical technologies inside Companies and Health Structures, as well as freelance. The peculiar multidisciplinary structure of the programme allows developing a strong knowledge in electronics and informatics, mechanical, chemical and material engineering and promotes the integration of technical studies with life science disciplines (biology, physiology and medicine).

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/biomedical-engineering/

Career opportunities

Graduated biomedical engineers find employment for the design, development and commercialization of biomedical devices, as well as in the pharmaceutical sector. Career opportunities are found: 1) in manufacturing companies which are active on health-care market with systems for prevention, diagnostics, therapy and rehabilitation; 2) in public and private hospitals for the management of health technologies; 3) in medical plant and equipment service companies; 4) in specialised biomedical laboratories; 5) in biomedical research 6) as freelance.
For a more specific training in scientific research in the area, a Ph.D. in Bioengineering is available.

The programme has 4 advised paths (besides the possibility to develop a personal path with some constraints):
- Clinical Engineering
- Electronic Technologies
- Biomechanics and Biomaterials
- Cell, Tissue and Biotechnology Engineering

Presentation

See http://www.polinternational.polimi.it/uploads/media/Biomedical_Engineering_01.pdf
This postgraduate programme provides students with an engineering education applied to medical and biological issues. The educational path is intended to train students in the design of biomedical equipment, devices, materials and procedures and to offer a correct introduction to the management of biomedical technologies in companies and health bodies. The peculiar multidisciplinary structure of the programme allows the development of a strong knowledge in electronics and informatics, in mechanical, chemical and material engineering and promotes the integration of technical studies with life science disciplines like biology, physiology and
medicine. The programme is taught in English.

Subjects

Four specializations available:
- Clinical Engineering
- Electronic Technologies
- Biomechanics and Biomaterials
- Cell, Tissue and Biotechnology Engineering

Mandatory courses for all areas:
- mathematical and digital methods for engineering
- bioengineering of the motor system
- mechanics of biological structures
- bioengineering of autonomic control and respiratory systems
- biofluid dynamics
- biomechanical design
- biomachines (with laboratory)
- biomaterials
- endoprostheses
- biomimetics and tissue engineering
- biotechnological applications and bioreactors
- design of life support systems
- laboratory of tissue characterization
- laboratory of biomaterials + lab. of instrumental analysis
- laboratory of biofluid dynamics
- laboratory of biomechanical design
- computational biomechanics laboratory

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/biomedical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/biomedical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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Degree. Master of Science (two years) with a major in Biomedical Engineering. Teaching language. English. Read more
Degree: Master of Science (two years) with a major in Biomedical Engineering
Teaching language: English

Biomedical Engineering encompasses fundamental concepts in engineering, biology and medicine to develop innovative approaches and new devices, materials, implants, algorithms, processes and systems for the medical industry. These could be used for the assessment and evaluation of technology; for prevention, diagnosis, and treatment of diseases; for patient care and rehabilitation and for improving medical practice and health care delivery.

The first year of the Biomedical Engineering programme is focused on mandatory courses expanding students’ engineering skills and knowledge in areas like anatomy and physiology but also biology and biochemistry. Courses in mathematics, statistics, multidimensional biomedical signal generation and analysis, combined with medical informatics and biomedical modelling and simulation, create a solid foundation for the continuation of the programme.

In the second year, three areas of specialisation, medical informatics, medical imaging and bioengineering, are introduced. Coinciding with the specialisation, a course in philosophy of science is mandatory, preparing and supporting the onset of the degree project.
A graduate of the Biomedical Engineering programme should be able to:

• formulate and solve engineering problems in the biomedical domain, encompassing the design of devices, algorithms, systems, and processes to improve human health and integrating a thorough understanding of the life sciences.
• use, propose and evaluate engineering tools and approaches.
• identify and manage the particular problems related to the acquisition, processing and interpretation of biomedical signals and images.
• integrate engineering and life science knowledge, using modelling and simulation techniques.
• communicate engineering problems in the life science domain.

The Biomedical Engineering curriculum supports and sustains "Engineering for Health" through a relevant mixture of mandatory and elective courses. This enables both broad-based and in-depth studies, which emphasises the importance of multidisciplinary and collaborative approaches to real-world engineering problems in biology and medicine.

Welcome to the Institute of Technology at Linköping University

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* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Read more

Studentships

* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.

* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.

Stream overview

The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.

Who is this course for?

Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.

Stream Objectives

Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:

• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.
• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex
biomedical data sets.
• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.
• Interpret and present complex scientific data from multiple sources.
• Mine the scientific literature for relevant information and develop research plans.
• Write a grant application, through the taught grant-writing exercise common to all MRes streams.
• Write and defend research reports through writing, poster presentations and seminars.
• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the
MRes Biomedical Research degree.

Projects

A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):

• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection
• What Makes a Biological Pathway Useful? Investigating Pathway Robustness
• Bioinformatics for mass spectrometry imaging in augmented systems histology
• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity
• Fusion of molecular and clinical phenotypes to predict patient mortality
• 4-dimensional visualization of high throughput molecular data for surgical diagnostics
• Modelling short but highly multivariate time series in metabolomics and genomics
• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!

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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). Read more
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). 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:
-Have first class knowledge and capabilities for a career in life science research and in expert duties in the public and private sectors.
-Competence to work as a member of a group of experts.
-Have understanding of the regulatory and ethical aspects of scientific research.
-Have excellent communication and interpersonal skills for employment in an international and interdisciplinary professional setting.
-Understand the general principles of mathematical modelling, computational, probabilistic and statistical analysis of biological data, and be an expert in one specific specialisation area of the LSI programme.
-Understand the logical reasoning behind experimental sciences and be able to critically assess research-based information.
-Have mastered scientific research, making systematic use of investigation or experimentation to discover new knowledge.
-Have the ability to report results in a clear and understandable manner for different target groups.
-Have good opportunities to continue your studies for a doctoral degree.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.

Algorithmic Bioinformatics
Goes 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
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.

Selection of the Major

During the first Autumn semester, each specialisation area gives you an introductory course. At the beginning of the Spring semester you are assumed to have decided your study direction.

Programme Structure

Studies amount to 120 credits (ECTS), which can be completed in two years according to a personal study plan.
-60 credits of advanced studies from the specialisation area, including a Master’s thesis, 30 credits.
-60 credits of other studies chosen from the programme or from other programmes (e.g. computer science, mathematics and statistics, genetics, ecology and evolutionary biology).

Internationalization

The Life Science Informatics MSc is an international programme, with international students and an international research environment. The researchers and professors in the programme are internationally recognized for their research. A significant fraction of the teaching and research staff is international.

As a student you can participate in an international student exchange programme, which offers the possibility to include international experience as part of your degree. Life Science Informatics itself is an international field and graduates can find employment in any country.

In the programme, all courses are given in English. Although the Helsinki region is very international and English is widely spoken, you can also take courses to learn Finnish via the University of Helsinki’s Language Centre’s Finnish courses. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning new languages.

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This course is designed for biology, medicine, biomedical and life sciences graduates, keen to develop their knowledge in a city renowned for its medical landmarks. Read more
This course is designed for biology, medicine, biomedical and life sciences graduates, keen to develop their knowledge in a city renowned for its medical landmarks.

More about this course

You will carry out studies of biomedical science, develop a high level of scientific knowledge and understanding of disease processes and enhance intellectual development throughout research projects.

The team delivering the course have an exceptional research profile, particularly in oncology, molecular medicine, immunology and virology. Specialist guest lecturers will add their own enlightenment and passion to a fascinating schedule.

The course aims to:
-Provide you with advanced study of biomedical science, which underpins professional progression and development
-Provide a high level of scientific knowledge and understanding of disease processes
-Develop an informed and critical appreciation of recent scientific developments in relation to diagnostic laboratory pathology
-Enable you, where options are available, to gain additional specialist knowledge in areas such as ageing, epidemiology and medical genetics
-Enhance your intellectual development throughout the research project and dissertation

Students undertake a variety of assessment methods including case studies, literature evaluations, self diagnostic testing, debates, group work, presentations, coursework, essays, and cumulative exams.

Practical skills are summatively assessed through the coursework assignments, including those in the final Project module.

Data handling skills are assessed by, practical reports, problem solving exercises, information abstracting and reviewing exercises, poster presentations, exams and seminar presentations.

Professional accreditation

Accredited by the Institute of Biomedical Science (IBMS), the professional body of Biomedical Scientists.

Modular structure

The modules listed below are for the academic year 2016/17 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:
-Advanced Immunology (core, 20 credits)
-Biomedical Diagnostics (core, 20 credits)
-Integrated Pathology (core, 20 credits)
-Research Project (core, 60 credits)
-Scientific Frameworks for Research (core, 20 credits)
-Biomedical Informatics (option, 20 credits)
-Clinical Biochemistry (option, 20 credits)
-Epidemiology of Emerging Infectious Disease (option, 20 credits)
-Ethical Issues in Biomedical Science (option, 20 credits)
-Haematology (option, 20 credits)
-Medical Genetics (option, 20 credits)
-Transfusion Science (option, 20 credits)

After the course

Career opportunities include employment in NHS hospital laboratories and other health-related areas. Graduates will also be well placed to apply for research studentships.

This course allows students to be considered for promotion at work. It also allows them to be eligible to sit the Institute of Biomedical Science (IBMS) higher specialist diploma leading to fellowship of the IBMS (FIBMS).

Scholarships

A number of partial scholarships are available for international students from outside the EU: http://www.londonmet.ac.uk/applying/funding-your-studies/postgraduate-international-students/

Moving to one campus

Between 2016 and 2020 we're investing £125 million in the London Metropolitan University campus, moving all of our activity to our current Holloway campus in Islington, north London. This will mean the teaching location of some courses will change over time.

Whether you will be affected will depend on the duration of your course, when you start and your mode of study. The earliest moves affecting new students will be in September 2017. This may mean you begin your course at one location, but over the duration of the course you are relocated to one of our other campuses. Our intention is that no full-time student will change campus more than once during a course of typical duration.

All students will benefit from our move to one campus, which will allow us to develop state-of-the-art facilities, flexible teaching areas and stunning social spaces.

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This masters course will bring you up to speed with the post genomic era. We are now in a scientific age that has followed the game changing breakthrough that was the sequencing of the human genome. Read more
This masters course will bring you up to speed with the post genomic era. We are now in a scientific age that has followed the game changing breakthrough that was the sequencing of the human genome. But that was not the end, just the beginning. The “big” data being generated is coming out at an amazing rate. Personalised medicine is around the corner. We need skilled and talented biologists who are capable of analysing, processing and innovating. Gene therapy is hitting the headlines. Stem cell therapy may treat the previously untreatable. You can be part of this new golden age with a masters in medical genomics.

More about this course

We will be enhancing knowledge of genomic science from a health perspective. With our superb laboratory facilities we’re able to offer unique research project opportunities together with outstanding quality of teaching from research active staff.

We have access to guest lecturers at the highest levels of their profession who are collaborating with our staff (Barts, Imperial, Kings, UCL, St Georges, Brunel). In addition, we have a strong collaboration with the prestigious ACFIES in Columbia, which offers exciting international work exchange opportunities.
Students will be eligible to join the Royal Society of Biology with whom we are registering to be accredited.

We can offer unrivalled student learning support and our location means that the job market is on our doorstep. Connections with other prestigious universities mean that students will have the opportunity to meet and discuss their career options and secure work placements or apply for studentships.

You’ll be tested using a wide variety of assessment tools. We will ask students to write laboratory reports, give presentations, sit written exams, take part in debates, answer quizzes and experience virtual labs via asynchronous e-learning, make posters and defend their work aurally.

Modular structure

The modules listed below are for the academic year 2016/17 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules includes:
-Biomedical Informatics (core, 20 credits)
-Fundamentals of Medical Genetics and Genomics (core, 20 credits)
-Medical Genetics (core, 20 credits)
-Research Project for Medical Genomics (core, 60 credits)
-Scientific Frameworks for Research (core, 20 credits)
-Advanced Immunology (option, 20 credits)
-Bioinformatics and Molecular Modelling (option, 20 credits)
-Biomedical Diagnostics (option, 20 credits)
-Epidemiology of Emerging Infectious Disease (option, 20 credits)
-Ethical Issues in Biomedical Science (option, 20 credits)
-Molecular Oncology (option, 20 credits)

After the course

Genomics is important in both public and private domains. It is key for the NHS and via governmental initiatives (the 100,000 genome project). Thus there is a commensurate burgeoning of new genome centres in the UK and abroad: ie the Cambridge Genome centre. There are opportunities for people with degrees and training in human genetics. As genetic testing becomes part of many routine medical evaluations, more geneticists are needed to perform the tests. As genetics is recognised to be a basic part of all biological sciences, more teachers with expertise in genetics will also be needed. In India, genomics is growing through companies like Medgenome. It is indubitable that this is a currently growing area of the job market.

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Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine. Read more
Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine.

This Certificate is an exciting, innovative distance learning programme aimed to enhance the participant’s theoretical knowledge and practical skills in MP and to empower them to pursue a career in academia, healthcare or industry. The course has a strong focus on innovation and entrepreneurship; emphasising MP’s central role in molecular diagnostics, clinical trials and biotech/biopharma.


Candidates will complete three modules which will be available ‘online’ as distance learning modules.

(1) Digital Molecular Pathology (20 CATs)

(2) Biostatistics and Bioinformatics (20 CATs)

(3) Academia/Industry Interface (20 CATs)

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There is currently a worldwide shortage in graduates qualified in Bioinformatics and the skills to interpret the data that is going to underpin advances in biology and medicine in 21st Century. Read more
There is currently a worldwide shortage in graduates qualified in Bioinformatics and the skills to interpret the data that is going to underpin advances in biology and medicine in 21st Century. With the advent of Personalised Medicine, the demand for specialists in Computational Biology and Bioinformatics will further increase. This gives you the opportunity to build your transferable skill set across a range of cutting edge technologies and start building a career in this central facet of modern biology.

Students completing the MSc course in Bioinformatics and Computational Genomics will have the necessary skills and knowledge to undertake research and development in industry (Biotechnology, Pharmaceutical, Diagnostic companies), in medical research centres and in academic institutions worldwide.

Computational, statistical and machine learning methods form an integral part of modern research in Molecular Biology, Cell Biology, Pharmacology, Public Health Care and in Medicine. The past decade has seen enormous progress in the development of molecular and biomedical technologies. Today’s high-throughput array and sequencing techniques produce data in the range of terabytes on a daily basis and new technologies continuously emerge. This will further increase the stream of data available for biomedical research. For this reason analyzing, visualizing and managing this huge amount of data is a challenging task. The Queen’s MSc course in Bioinformatics and Computational Genomics targets these data-driven challenges of modern science. The course is open to graduates in computer science, life sciences, physics or statistics.

The programme will consist of an Introductory short course (two weeks) in Cell Biology, followed by modules in:

• Genomics & Genetics
• Analysis of Gene Expression
• Scientific Programming & Statistical Computing
• Algorithmic Biology
• Statistical Biology
• Bioimaging Informatics
• Research project : MSc dissertation

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Take advantage of one of our 100 Master’s Scholarships to study Medicine and Life Sciences at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Medicine and Life Sciences at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MRes in Medicine and Life Sciences is a one year full time programme, which provides an ideal opportunity and environment in which to gain practical training in Research Methods and to join a thriving research team within Swansea University College of Medicine. The Medicine and Life Sciences course has been developed with an emphasis on providing students with a research-oriented approach to their learning. Students are able to tailor their studies towards a career in one of the College’s internationally recognised research themes:

– Biomarkers and Genes,
– Devices,
– Microbes and Immunity,
– Patient & Population Health and Informatics.

Key Features of MRes in Medicine and Life Sciences

The Medicine and Life Sciences programme is committed to supporting the development of evidence within the areas of Health, Medicine and Life Science through the training of researchers whose findings will directly inform their own understanding and that of others. The ethos of this programme is to produce graduates with the research skill and knowledge to become effective researchers, who will contribute to the body of knowledge within their chosen area of interest that will have an impact upon the health and well-being of all.

- The advantage of a MRes over other formats is that it provides a structured yet in-depth approach, taking the taught component of FHEQ Level 7 teaching as a framework for conducting research on the candidates own practice.
- Innovative and integrated curriculum that reflects the various aspects of the research process.
- Multidisciplinary teaching team with vast experience and expertise in conducting high quality research.
- Research informed teaching.
- Teaching is supported by online learning and support.
-Flexibility for you to gain specialist knowledge.
- A one year full-time taught masters programme designed to develop the essential skills and knowledge required for a successful research career.
- This course is also available for two years part-time study.
- The opportunity to conduct an individual research project with an interdisciplinary team within a supportive environment.
- Students will be assigned a research-active supervisory team

The aim of the MRes in Medicine and Life Sciences is to provide students with a broad research training to prepare them for a research career in Medical and Life Science research with emphasis on: Biomarkers & Genes, Devices, Microbes & Immunity, and Patient & Population Health and Informatics. The course has been developed to enable graduates to pursue a variety of research careers in Medical and Life Sciences. The programme comprises both taught and research elements.

By the end of the Medicine and Life Sciences programme students will have:

Developed necessary skills to critically interpret and evaluate research evidence; Gained experience the in analysis and interpretation of research data; Advanced knowledge at the forefront of Medical and Life Science research, with the ability to integrate the theoretical and practical elements of research training; Developed the ability to conceptualise, design and implement a research project for the generation of new evidence that informs Health, Medicine and Life Science; Developed practical research skills by working with an interdisciplinary research team; The ability to confidently communicate research ideas and conclusions clearly and effectively to specialist and non-specialist audiences; Acquired transferable skills which enhance your employability and future research career.

Modules

Modules on the Medicine and Life Sciences course may include:

PMRM01 Critical Appraisal and Evaluation

PMRM02 Data Analysis for Health and Medical Sciences

PMRM03 Research Leadership and Project Management OR any topic specific FHEQ Level 7 module from the College of Medicine ’s portfolio

Mode of delivery:

The 60 credits of the taught element will be delivered face-to-face, combining formal lecturing, seminars, and group work in addition to tutor-led practical classes. The remaining 120 credits for the research element will be available as distance learning either off or on-site. Irrespective of the location for conducting the research project, students will supported through monthly online (Skype)/or face-to-face supervisory meetings.

Course Structure

Students must complete 3 modules of 20 credits each and produce a 120 credits thesis on a research project aligned to one the College’s research theme. Each taught module of the programme requires a short period of attendance that is augmented by preparatory and reflective material supplied via the course website before and after attendance.

The Medicine and Life Sciences programme is designed in two phases:

Phase 1 – Training and Application (October – January; 60 credits)

Taught modules in Research Methods and their application to Medicine and Life Science. Personalised education and training relevant to student’s research interests. Identification of research questions and how they might be addressed.Focused on students existing knowledge and research skills.

Phase 2 – Research Project (February – September; 120 credits)

The project is selected by the student in combination with an academic supervisory team. Focussed on one of the College’s four main research themes: Biomarkers and Genes, Devices, Microbes and Immunity, and Patient & Population Health and Informatics. At the end of Part 2 students submit a 40,000 word thesis worth 120 credits leading to the award of Master of Research in Medicine and Life Science.

Attendance Pattern

Students are required to attend the University for 1 week (5 consecutive days) for each module in Phase One. Attendance during Phase Two is negotiated with the supervisor.

You are also encouraged to attend the Postgraduate Taught Induction Event during the induction week and any programme associated seminars, together with Postgraduate research events.

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