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Masters Degrees (Clinical Informatics)

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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 MS in biomedical informatics at NYU School of Medicine’s Sackler Institute of Graduate Biomedical Sciences sharpens students’ practical skills in basic science, translational science, and medical research. Read more

The MS in biomedical informatics at NYU School of Medicine’s Sackler Institute of Graduate Biomedical Sciences sharpens students’ practical skills in basic science, translational science, and medical research. Our 12-month curriculum produces professionals who can solve challenging biomedical problems. Request our MS in Biomedical Informatics eBook to learn more.

As a student pursuing a master’s degree in biomedical informatics, you learn to create novel computational and quantitative methods and apply them to biomedical research. The vibrant scientific research community at NYU Langone and NYU School of Medicine offers you the chance to work with nationally and internationally recognized faculty researchers in our laboratories, institutes, and departments. You also have access to our in-house high-performance computing facility.

The rapidly growing field of bioinformatics has influenced many recent healthcare developments, including new opportunities for personalized medicine. These innovations, along with a recent growth in high-throughput genomics technologies, have created a demand for skilled bioinformatics professionals.

Our graduates are prepared for biomedical informatics and computational biology careers in academic research, the pharmaceutical or biotechnology industry, medical centers, hospitals, and insurance and consulting companies.

At NYU School of Medicine’s Sackler Institute of Graduate Biomedical Sciences, students in our 12-month MS in biomedical informatics program acquire the skills and knowledge needed for careers in biomedical informatics and computational biology.

We provide rigorous hands-on training in designing experiments, generating and analyzing data, and modeling biomedical systems in real-life situations. We also prepare our students to enter the workforce by enhancing their consulting, communication, and teamwork skills.

Our program teaches the core competencies needed for the American Board of Medical Specialties subspecialty certification in clinical informatics and benefits junior faculty and early-career investigators interested in additional training in informatics.

MS in Biomedical Informatics Curriculum

Our MS in biomedical informatics requires a minimum of 34 credits, including core and elective courses, as well as practical work experience.

Program Timeline

The program typically begins in the summer and spans the next two semesters, with an additional consulting practicum the following summer.

The following are sample courses for summer one.

The following are sample courses for the fall semester.

  • Methodological Foundations of Biomedical Informatics
  • Bioinformatics
  • Introduction to Health Informatics
  • Machine Learning
  • Seminar in Biomedical Informatics
  • Professional Studies in Biomedical Informatics

The following are sample courses for the spring semester.

  • Electives (2)
  • Biomedical Informatics Practicum I
  • Seminar in Biomedical Informatics
  • Professional Studies in Biomedical Informatics

The following are sample courses for summer two.

  • Biomedical Informatics Practicum I


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Today's society faces the challenge of providing high-quality, patient-centred, sustainable and affordable healthcare, in an environment of increased demand and scarce resources. Read more

Today's society faces the challenge of providing high-quality, patient-centred, sustainable and affordable healthcare, in an environment of increased demand and scarce resources. The Health Informatics MSc at UCL aims to form future leaders who will address this challenge, transforming healthcare delivery through the use of information and communication technologies.

About this degree

Our graduates are professionals able to effectively engage with clinicians, managers, patients and policymakers, with the necessary skills and tools to harness healthcare information for improving clinical practice and service delivery. They possess the knowledge about healthcare problems, the concepts used to analyse them and the principles that govern the successful engineering, application and evaluation of solutions.

Students undertake modules to the value of 180 credits.

The programme consists of one core module (15 credits), seven optional modules (105 credits) and a research project (60 credits).

A Postgraduate Diploma (120 credits, flexible study 2-5 years) is offered.

A Postgraduate Certificate (60 credits, flexible study over a period of two years) is offered.

Core modules

  • Principles of Health Informatics

Optional modules

  • Research Methods in Healthcare
  • Information Systems in Healthcare
  • Electronic Health Records
  • Patient Safety and Clinical Risk
  • Clinical Decision Support Systems
  • eHealth: Patients and the Internet
  • Information Law and Governance in Clinical Practice
  • Learning Health Systems
  • Principles of Health Data Analytics
  • Principles of Health Data Science*
  • Data Methods for Health Research*
  • Machine Learning in Healthcare & Biomedicine*

*Full-time MSc students have option to share Data Science for Research in Health & Biomedicine modules

Dissertation/report

All MSc students undertake an independent research project, normally based at their place of work, which culminates in a piece of work written in the style of a journal article.

Teaching and learning

The programme is taught by 'blended learning', and therefore includes interactive online teaching and face-to-face lectures, seminars and workshops including substantial use of examples of real clinical systems. Assessment is through examination, critical evaluations, technical tasks, coursework and project reports, compulsory programming and database assignments, and the dissertation.

Further information on modules and degree structure is available on the department website: Health Informatics MSc

Careers

Health informatics is a subject of growing importance, with exciting career development prospects for clinicians, managers, administrators and technologists. The main areas where our graduates find employment are business intelligence, information management, project and programme management, informatics analysts and directors, quality and service improvement management.

Recent career destinations for this degree

  • Business & Performance Manager, Camden & Islington NHS FT
  • Business Intelligence Analyst, Hinchingbrooke Hospital (NHS)
  • Commissioning Manager, NHS South Tees Clinical Commissioning Group
  • Programme Manager, NHS Wakefield Clinical Commissioning Group (CCG)
  • Project Manager, Cambridge University Hospitals NHS Foundation Trust

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The MSc in Health Informatics at UCL is taught by a team of specialists within the UCL Institute of Health Informatics, and understanding how information technologies can be harnessed for improving the delivery of care is central to their academic mission. UCL is at the centre of a vast network of clinical collaborators and houses probably the largest concentration of health informatics expertise in the UK.

The institute conducts world-leading research and our teaching, which is research based, focuses on areas such as electronic healthcare records, decision support systems, consumer health informatics, and clinical and applied bioinformatics.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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Who is it for?. This course will help you become part of the newest and fastest growing specialty in healthcare by understanding how to apply informatics solutions to develop high-quality and sustainable healthcare. Read more

Who is it for?

This course will help you become part of the newest and fastest growing specialty in healthcare by understanding how to apply informatics solutions to develop high-quality and sustainable healthcare.

It has been designed for health professionals who wish to enhance their careers with an informatics qualification. It will also appeal to computer scientists, engineers and others with relevant technical or professional qualifications who wish to move into a successful career involving the application of informatics in the health service.

Objectives

The Health Informatics MSc at City, University of London aims to develop future leaders in the field who will transform healthcare with sustainable, informatics-led approaches, and is the only MSc in the UK to be accredited by the British Computer Science Society.

High-quality teaching combines both theory and practice, with a strong focus on real-world applications including electronic health records, clinical data management and analytics, mobile technology and telehealth. Teaching is supported by guest lectures from medicine and industry. Furthermore, you will be part of a multi-professional and strongly international cohort bringing together many points of view on national and international computerised healthcare initiatives.

Accreditation

Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

Internships

As a postgraduate student on a Computing and Information Systems course, you will have the opportunity to complete up to six months of professional experience as part of your degree.

Our longstanding internship scheme gives you the chance to apply the knowledge and skills gained from your taught modules within a real business environment. An internship also provides you with professional development opportunities that enhance your technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help you stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing you to work full-time for up to six months. You will be supported by our outstanding Professional Liaison Unit (PLU) should you wish to consider undertaking this route.

Teaching and learning

High-quality teaching is delivered by research-active academics from City, University of London. Specialist industry professionals also participate in teaching and learning, ensuring that students learn the knowledge and skills most valued by industry.

Teaching combines both theory and practice, with a strong focus on real-world applications including electronic health records, clinical data management and analytics, mobile technology and telehealth. You will also undertake an independent research project.

All taught modules are delivered through a combination of lectures, interactive workshops, tutorials and activities supported by the University's online learning environment.

Taught modules are generally assessed through a combination of coursework and examination, although some modules are 100% coursework based (e.g. Data Analysis with Healthcare Application, Information Architecture and Project Management). Examinations focus on applying health informatics theories to realistic clinical scenarios. Coursework assignments centre on analysing real world problems, developing computational models and systems to solve these problems and producing written reports and documentation.

The taught component of the MSc is worth 66.67% and the independent research project is worth 33.33%. The independent research project allows students to conduct original research on a health informatics topic of their choice

Upon successful completion of eight modules and the independent research project, you will be awarded a master’s level qualification. Alternatively, if you do not complete the dissertation but have successfully completed the taught component you will be awarded a postgraduate diploma. Successful completion of four modules will lead to the award of a postgraduate certificate.

Modules

The MSc comprises of 180 credits.

You will study six core modules and two elective modules. You will also undertake an independent research project.

A full-time student is expected to commit 35 hours a week, which includes attendance at lectures, tutorials and workshops, and independent study on coursework, the individual research project and preparation for examinations.

Taught Core Modules

Core modules are mandatory and provide a detailed insight into key areas of health informatics. The modules are designed to complement each other and incrementally build specialist knowledge in the area. For example, the Electronic Health Records module focuses on important standards and techniques for securely capturing, storing and exchanging clinical data. Data Analysis with Healthcare demonstrates how to undertake statistical analyses of clinical data and report the results. In the Modelling Healthcare Decisions and Knowledge Management in Healthcare modules students learn about machine learning techniques that can be applied to clinical data and used to develop intelligent systems to support clinical decision making, including the cost effectiveness of those decisions in a variety of healthcare settings. The Telehealth and Mobile Applicationsmodules examines the emerging role of telehealth with a focus on new technologies and devices such as mobile apps, sensors and cloud computing that can be used to capture clinical data and deliver health services in environments such as patients’ homes. The Research, Methods and Professional Issues module develops students' research skills and helps with planning and carrying out original research in their independent research project.

  • Electronic Health Records (15 credits)
  • Data Analysis with Healthcare Application (15 credits)
  • Modelling Healthcare Decisions (15 credits)
  • Knowledge Management in Healthcare (15 credits)
  • Telehealth and Mobile Applications (15 credits)
  • Research, Methods and Professional Issues (15 credits)

Career prospects

Graduates from the Health Informatics MSc pursue successful careers in health services (both state and private sectors in the UK and overseas), and in related healthcare industries such as Electronic Health Record providers. There are a wide variety of roles and opportunities in health informatics as outlined the NHS Careers in Health Informatics including:

  • Health records designers and developers
  • Health data scientists
  • Data managers
  • Taxonomy managers
  • System and application analysts
  • Information analysts
  • IT project managers
  • Digital transformation leads
  • PACS and RIS managers
  • Education and training.


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Bioinformatics provides an important bridge between cutting edge science and the delivery of genomic medicine in clinical practice. Read more

Bioinformatics provides an important bridge between cutting edge science and the delivery of genomic medicine in clinical practice.

Demand for genetic testing and, therefore, clinical bioinformatics is increasing globally all the time, but there is a severe shortage of bioinformaticians able to analyse clinical genomic data.

Our fully-online PGCert is a practical, clinically-focused course aimed at providing the necessary skills to produce high quality bioinformatic workflows to analyse and interpret clinical genomic data.

You will be taught by a team that has successfully delivered the Clinical Bioinformatics Scientist Training Programme and has several years' experience training clinical bioinformaticians for the NHS.

The course is structured to include real-world clinical case studies and will focus on providing the necessary bioinformatic skills to produce bioinformatics workflows to analyse clinical genomic data.

The course has two introductory units:

  • Introduction to clinical bioinformatics
  • Introduction to health informatics.

Plus two more advanced units:  

  • Introduction to next generation sequencing bioinformatics
  • Introduction to programming for clinical bioinformatics. 

This course is delivered completely online and each unit is also available as individual CPD.

Aims

The course will give you:

  • Knowledge and understanding of the theory and practice of clinical bioinformatics.
  • A critical understanding of how data generated by clinical genomic laboratories is used to develop a clinical diagnosis, and how this information can be logically and systematically employed to deliver effective clinical management of genetic conditions.
  • Contribute to innovation, change and service developments in clinical science at both the laboratory and institutional levels by giving you a systematic and critical understanding of relevant knowledge, theoretical frameworks and advanced skills.
  • Enhanced career-long development to support and enhance best practice in clinical bioinformatics.

Special features

As the course is delivered online you will get the opportunity to learn and share experiences with other students located across the globe.

We work closely with clinical colleagues in the Manchester Centre for Genomic Medicine, based at St Mary's Hospital Manchester, to ensure that real-world case studies are integrated through-out our teaching.

If you would like to find out more about the area of clinical bioinformatics and the role of clinical bioinformaticians you can enrol on our free 5-week massive online open course for a taster.

With the free taster course you will gain an introduction to genomics and bioinformatics, learn the stages of next generation sequencing data analysis, and also gain skills in how to use bioinformatic resources to interpret sequence variants.



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Our MClin Res Clinical Research course is aimed at nurses, midwives, allied health professionals and other non- medical/dental healthcare professionals who want to work in clinical research, or are already working in this area and want to develop the skills needed for other positions where research plays a key role. Read more

Our MClin Res Clinical Research course is aimed at nurses, midwives, allied health professionals and other non- medical/dental healthcare professionals who want to work in clinical research, or are already working in this area and want to develop the skills needed for other positions where research plays a key role.

You will develop in-depth knowledge of the theoretical underpinnings of clinical research and skills in research methods relevant to applied research in a range of contemporary clinical practice settings.

The course is mainly delivered online, but is complemented by two compulsory four-day campus-based introductory and winter study schools, and one mid-semester study day in Semesters 1 and 2.

Most of the units that make up this course are shared with other students on master's and postgraduate research programmes at Manchester.

Aims

Our course has been designed to provide health professionals with the skills needed to manage and deliver research in clinical and health and social care settings, and to develop careers in clinical research, clinical and academic practice, or academic research with a strong clinical practice component.

The aims of the course are to:

  • enable you to further develop systematic, in-depth knowledge and critical understanding of the nature, purposes, methods and application of research relevant to clinical practice at an individual and/or organisational level;
  • contribute to building capacity and capability for research and evidence-based practice by equipping you with in-depth knowledge and essential skills to critically appraise, apply, design and undertake high quality research in a range of clinical settings;
  • enhance the quality and evidence base for clinical research, practice and service development through the provision of robust research training in a stimulating, challenging and supportive learning environment that draws on outstanding resources and research and practice expertise;
  • promote lifelong learning in students and enhance opportunities to pursue a variety of research careers and/or further research training which support and advance clinical knowledge, research and practice;
  • equip you with key transferable skills in critical reasoning and reflection, effective communication, team and multi-disciplinary working, use of IT/health informatics, logical and systematic approaches to problem-solving and decision-making.

Special features

Interdisciplinary learning

You will learn from renowned lecturers and practitioners from various fields including nursing, midwifery, physiotherapy, social work, speech and language therapy, audiology, psychology, and medicine.

Strong collaborations

We have strong links with other courses at Manchester and with experts from the Manchester Academic Health Science Centre (MAHSC) and the Manchester Academy for Healthcare Scientist Education (MAHSE).

Teaching and learning

The course content is primarily delivered online, giving you more flexibility over how you learn. You will also attend two four-day introductory and winter study schools and two mid-semester study days, allowing you to learn face-to-face and meet other students and staff at Manchester.

We use digital technology to ensure our supervision of and communications with students meet the high standards required for the learning process to work. This includes:

  • individual and group web-based audio-visual tutorials;
  • web-based collaboration areas and discussion boards
  • shared digital documents;
  • online, phone and face-to-face support from supervisors and academic advisors;
  • peer support through course-specific discussion boards and face-to-face meetings.

Find out more about postgraduate teaching and learning at Manchester.

Coursework and assessment

We will assess your progress using a variety of summative assessment methods that enable the integration of theory and practice. They also build on the continuous formative assessment exercises that come with each individual unit, which include interactive, stimulating online exercises with regular self-assessment and feedback.

Course unit details

Our MClin Res  comprises six taught units (90 academic credits in total) and a 90-credit dissertation unit comprising a thesis derived from the undertaking of a supervised, clinical research project.

The PGDip Clin Res  comprises six taught units from (90 academic credits in total) and a mini-dissertation (30 academic credits).

The PGCert Clin Res  comprises four taught units (60 academic credits in total).

Year 1

Full-time study

Six taught units in the following areas, plus a dissertation:

  • Research design
  • Managing research in the clinical setting OR Foundations of research
  • Critical appraisal and evidence synthesis
  • Quantitative research design and analysis
  • Qualitative research design and analysis
  • Statistics

Part-time study

Four taught units from the following areas:

  • Research design
  • Managing research in the clinical setting OR Foundations of research
  • Critical appraisal and evidence synthesis
  • Quantitative research design and analysis
  • Qualitative research design and analysis
  • Statistics

Year 2

Part-time study

Two taught units from the following areas, plus a dissertation:

  • Critical appraisal and evidence synthesis
  • Quantitative research design and analysis
  • Qualitative research design and analysis
  • Statistics

Course collaborators

We collaborate with other courses at Manchester and with experts from the Manchester Academic Health Science Centre (MAHSC) and the Manchester Academy for Healthcare Scientist Education(MAHSE).

Facilities

We are based in Jean McFarlane Building, which houses seminar rooms, IT facilities, clinical and interpersonal skills laboratories, and lecture theatres.

The University of Manchester also offers extensive library and online services to help you get the most out of your studies.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

This course is predominantly aimed at health professionals from a range of disciplines who wish to enhance their skills and knowledge in clinically focused research.

It is aimed at those who wish to pursue clinical/academic research careers eg research nurses, clinical trials coordinators and principal investigators.

The course provides comprehensive training in research, providing an excellent foundation for students who wish to go on to study for a PhD.



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This course is ideal for graduates who love to work in a role that connects computing and biology, medicine, or healthcare, and have an analytical and inquisitive mind. Read more

This course is ideal for graduates who love to work in a role that connects computing and biology, medicine, or healthcare, and have an analytical and inquisitive mind.

Our school of School of Computing and Engineering has developed partnerships, such as Amazon allowing our students to gain vital industry skills in:

• integration with big data

• cloud computing

• cyber-security.

This course has been structured with the modern healthcare sector in mind, providing you with the opportunity to gain comprehensive ICT skills required by the sector.

Course detail

We aim to develop future leaders through increasing your knowledge and skills in:

• how to manage and analyse large scale, individual and personalised health data

• ethics and governance issues around health data

• big Data (statistical and machine-learning) methods

• the healthcare context, processes and environment

• clinical and biological problems

• healthcare system integration (HL7 messages)

• informatics project management/change management

• exposing you to a range of health information systems and technologies

Modules

  • Research Methods 
  • Supervised Research Project
  • Information Systems in Healthcare 
  • Knowledge Management 
  • Data Architecture 

Option modules

  • Leadership and Management Competence in Healthcare 
  • Information Systems in Healthcare 
  • HCI for Information Systems 
  • Data Management in Healthcare 
  • Programming Support 
  • Dissertation in Health Informatics 
  • Public Health Perspectives 
  • Measuring Public Health and Wellbeing 
  • Knowledge Management 

Career and study progression

This course will thoroughly prepare you for a wide range of careers as a health informatics or Bioinformatics practitioner in the public and private sectors, including:

• clinical informatics

• personalised Medicine

• clinical bioinformatics

• education and training

• health records and patient administrators

• information and communication technology

• information management

• libraries and knowledge management

• project and programme management.

On successful completion of this course you can pursue further study at MPhil and PhD level.

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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Our  six-month Informatics for Healthcare Systems CPD course explores the role of informatics in managing healthcare systems, with an emphasis on current issues and future innovations and trends. Read more

Our  six-month Informatics for Healthcare Systems CPD course explores the role of informatics in managing healthcare systems, with an emphasis on current issues and future innovations and trends.

The course is led by health problems rather than technologies or organisations, setting the direction of translational thinking that healthcare managers need to take when dealing with information and communications technologies.

Through our own research-driven examples and case studies, you will be provided with the skills and concepts needed to address the core issues in delivering and managing healthcare systems through informatics.

These include topics surrounding data, technologies, information and people in the context of the journey from the maintenance of wellbeing to specialist healthcare for individuals, and the creation of a population-wide picture of health to enable well-informed management of a whole system.

Each course unit will examine a core issue in detail at every stage of the patient pathway in context with other core issues and skills, and will consider its impact on the information usage.

This course is open to anyone who looking to develop their health informatics knowledge and work in the healthcare, pharmaceutical or academic sectors.

Aims

We aim to:

  • look at each of the core issues in relation to the requirements of the information systems, and the use of information at each stage in the Pathway together with its impact on the remainder of the pathway;
  • provide you with the key skills required to develop and manage healthcare systems in the new and changing health economy, addressing the agenda of the information revolution, where the patient is at the centre of the healthcare system;
  • emphasise the importance and role of information in patient-driven healthcare;
  • explain key principles and concepts and their practical application.

Teaching and learning

This course uses an engaging blend of lectures, exercises, discussions and case studies designed to put theory into practice.

Our enquiry-based learning approach will encourage discussion and debate, enabling you to actively share knowledge with other students. Face-to-face time will provide you with immediate access to experts and a forum for the informatics workforce to network and to exchange experiences and knowledge.

This will allow you to develop wider awareness of the overall health informatics and patient pathway context, and provide a basis for greater collaboration.

Online material relating to each unit will allow you to review material in your own time and reflect upon your learning and how it can be applied in your own organisation. Material will also be provided as pre-unit preparation and for learning reflection.

Both reflective and preparatory material will enable you to consolidate and advance your learning in ways that suit you on an individual basis.

For those attending more than one unit, online material will connect the subject matter covered during each unit. It will also allow you to directly apply your knowledge and skills in the workplace, enabling you to enhance your practical experience.

Access to the online material will remain available to assist in ongoing consolidation of knowledge and skills.

Course unit details

The course is delivered across seven face-to-face contact days, divided into one block of three days and two blocks of two days. Each block is then interspersed with e-learning content for reflection and preparation. Each unit will have one face-to-face day, except Unit 6, which will comprise two face-to-face days.

  • Unit 1: Essential Informatics in Healthcare Systems
  • Unit 2: Significance of Recording and Coding Information
  • Unit 3: Interoperability in Health Information Systems
  • Unit 4: Health Information and Clinical Governance
  • Unit 5: Human and Organisational Factors in Health
  • Unit 6: Emerging Innovations and Trends in Health

Course collaborators

This course has been developed in conjunction with the School of Computer Science at The University of Manchester, the North West Informatics Skills Development Network, and discussions with clinicians and other members in the NHS and industry. In addition, key competencies have been highlighted using the Health Careers Framework.

What our students say

"During the course I have had the opportunity to look at current practices from a more objective standpoint (rather than being caught up with doing it) and hear perspectives from colleagues in other settings. I have a better and broader understanding of issues across the healthcare system and hopefully will be able to apply some of the academic ways of looking at things going forward."

Robert Konstant-Hambling, Head of Information, North West Specialised Commissioning

"The course has been beneficial to me in a number of areas, in particular it has forced me to investigate above and beyond NHS and DoH literature and see things from a different perspective. I always have good intentions of investigating and reading to improve knowledge and understanding for my work area but find time restricting and seldom have chance to read beyond the high priority documents. I have found the course and networking with NHS staff of a similar level and responsibilities, in this environment, extremely useful in challenging existing knowledge and forcing me to stretch myself."

Erica Fairweather, System Support Manager, Pennine Care NHS Foundation Trust

"The course has enabled me to interact with the rest of the health economy on a more informed basis thereby benefitting both the health economy as a whole and influencing better patient care through the delivery of cohesive systems."

Paul Lucock, Associate Director ICT Delivery, Northwest Ambulance NHS Trust

Facilities

Computers will be available during the face-to-face sessions held on campus at the University. We offer extensive library and online services to help you get the most out of your studies.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email:



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Your programme of study. The University of Aberdeen is highly regarded for Clinical Pharmacology as the discipline has been taught and delivered for 30 years and research spans 50 years. Read more

Your programme of study

The University of Aberdeen is highly regarded for Clinical Pharmacology as the discipline has been taught and delivered for 30 years and research spans 50 years. The programme draws on strengths within the university and medical area within disease discovery and treatment. The major innovation of Insulin was first developed at University of Aberdeen in the 1920s, winning the inventors a Nobel Prize and giving the world a major step forward in the management and regulation of insulin. Since this time the discovery of drug process, treatment and design has been developed and researched at Aberdeen. The University is also known for its research in food and nutrition, bacteria, gut issues researched at the world famous Rowett Institute and growing knowledge of disease process and latest innovative treatments.

Clinical pharmacology forms a critical part of the drug development process and our graduates are employed in the pharmaceutical and biotechnology industries. These industries are now in rapid growth due to a combination of innovations and strength within customised and other types of medicine and treatment industry areas. The industry is also a major contributor of GDP in the UK. Further innovations which link into this industry come from easier upscaling processes, customisation and the Internet of Things and more ability to treat and diagnose at source.

There is always a strong need for the discipline to provide a foundation to any new innovations which often come from multidisciplinary teams. Our aim is to train students in the major areas of clinical pharmacology including molecular pharmacology, drug metabolism and toxicology, therapeutics, pharmacokinetics, pharmcovigilance, regulatory affairs and experimental medicine. The programme aims to achieve this by a multi-disciplinary approach.

This programme is ideal for newly qualified graduates in medical science disciplines such as biomedical sciences, biochemistry, pharmacology, pharmacy, medicine and similar degrees. Careers can include work in clinical trials and NPD in pharmaceutical industries, doctoral research towards teaching, spin-outs and major innovations, regulation in the pharmaceutical industry and more.

Courses listed for the programme

Semester 1

  • Molecular Pharmacology
  • Drug Metabolism and Toxicology
  • Therapeutics
  • Applied Statistics
  • Basic Skills- Induction
  • Generic Skills

Semester 2

  • Pharmacovigilance
  • Drug Development to Evidence Based Medicine
  • Pharmacokinetics
  • Basic Research Methods
  • Business of Science

Optional

  • Health Informatics (distance learning

Semester 3

  • Research Project

Find out more detail by visiting the programme web page

Why study at Aberdeen?

  • You are taught by one of the top 10 medical schools in the UK with one of the largest campuses in Europe
  • Teaching is from academic and clinical teachers within a clinical setting
  • You get a great range of multidisciplinary learning from our research
  • We are in the top 10 for university spin out and company formation

Where you study

  • University of Aberdeen
  • Full Time or Part Time
  • 12 Months or 24 Months
  • September start

International Student Fees 2017/2018

Find out about fees

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page

Living in Aberdeen

Find out more about:

Your Accommodation

Campus Facilities

Find out more about living in Aberdeen and living costs



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About the course. Gain an in-depth understanding of the processes and techniques involved in clinical research and develop the practical skills required to plan and undertake clinical or health services research. Read more

About the course

Gain an in-depth understanding of the processes and techniques involved in clinical research and develop the practical skills required to plan and undertake clinical or health services research. The course takes one year full-time or two to five years part-time.

There are two routes available:

  • a standard route 
  • NIHR route for Academic Clinical Fellows in Medicine and Dentistry.

Applicants may also apply using the CPD application process and start by registering for one or two modules and later transfer to a full masters programme.

Your career

We can help you develop the skills and knowledge you need to understand and improve health services: analytical skills, critical thinking and in-depth knowledge of your discipline. We offer postgraduate courses for health and social care professionals, managers and anyone planning a career in health services research.

Our graduates work in public health, the private sector, health services management, and health and social care, all over the world. They also go on to further public health training or academic research.

An international academic community

As one of the largest multi-disciplinary schools of public health and health services research in the UK, ScHARR is a rich academic community. You will be taught by world-leading experts in health economics, public health sciences, the sociology of health, health psychology, decision analysis, management sciences, epidemiology, medical statistics and information science. They include members of The Academy of Medical Sciences, the Royal Pharmaceutical Society and the Royal Society of Public Health. The 2014 Research Excellence Framework (REF) rates us fourth in the UK for research power.

Our staff and students come from all over the world and offer international perspectives to all our courses.

Flexible study routes

We offer both traditional campus-based and online courses. Our high quality online courses are taught by the same expert academic staff who teach our courses in Sheffield and offer an alternative to coming to the UK. Guided by our staff, you can study at a pace that suits your personal circumstances. This can be an effective route for those who need to continue to work while they study. Postgraduate certificates and diplomas are also available.

You can also study individual modules as Continuing Professional Development (CPD). See the ScHARR web pages for details of available modules. For LBR and CPD information, visit: http://www.sheffield.ac.uk/hsccpd

Facilities

You’ll have access to library and computing facilities. We provide specialist information and library services in our information resources section.

Core modules

Core modules are determined by the course route followed and may include:

  • Randomised Controlled Trials
  • Introduction to Research Methods
  • Introduction to Statistics for Clinical Research
  • Clinical Research Practice or Practical Aspects of Clinical Research
  • Dissertation or Research placement and portfolio

Examples of optional modules

Choices include:

  • Promoting Evidence-Based Health Care
  • Systematic Review and Critical Appraisal Techniques
  • Epidemiology
  • Public Health Informatics
  • Further Statistics for Health Science Researchers
  • Sociology of Health and Illness
  • Complex Evaluation Methods
  • Qualitative Research Design and Analysis
  • Health Care Financing and Economic Evaluation
  • Health Needs Assessment, Planning and Evaluation

Please visit our website for a full module list.

Teaching and assessment

There are lectures, tutorials, online activities and workshops. Research skills training is in small groups and by distance learning. Assessment is by coursework, examinations and a dissertation.



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Health informatics studies the nature of medical data and the use of information technology to manage health-related information in medical practice, education, and research. Read more

Health informatics studies the nature of medical data and the use of information technology to manage health-related information in medical practice, education, and research. With increases in the application and uses of information technology in the medical industry, there is an unprecedented need for professionals who can combine their knowledge of computing and health care to improve the safety and quality of care delivery, as well as to help control costs.

The MS degree in health informatics applies the creative power of information technology to the information and data needs of health care. This includes the acquisition, storage, and retrieval of patient data, as well as access to electronically maintained medical knowledge for use in patient care, research, and education. Professionals in the field require computing expertise; an understanding of formal medical terminology, clinical processes, and guidelines; and an understanding of how information and communication systems can be used to successfully deliver patient information in various health care settings. The program is offered online only.

The program offers two tracks: the clinician track and analyst track.

Admission requirements

To be considered for admission into the MS program in health informatics, candidates must fulfill the following requirements:

  • Complete a graduate application.
  • Hold a baccalaureate degree (or equivalent) from an accredited university or college (MD, RN, or other professional degree).
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
  • Have a minimum cumulative GPA of 3.0 (or equivalent).
  • Submit a professional essay describing relevant employment or other experience and career plans (recent undergraduate students without extensive employment experience should discuss their career plans as well as any courses they have completed that are relevant to medical informatics, health care, or information technology).
  • Submit three letters of recommendation from individuals who are able to assess the applicant’s potential for success in the program.
  • Have completed at least one year of computer programming in a current object-oriented language or have equivalent work experience.*
  • Have knowledge of medical terminology/vocabulary, clinical processes, and information systems that are used to support health care activities and processes.
  • Have a familiarity with anatomy and physiology, including the major systems of the human body, including the skeletal system, muscle tissue physiology, muscular system, nervous system, cardiovascular system, respiratory system, urinary system, and histology.
  • Have completed the equivalent of one statistics course that covers the fundamental statistical principles necessary to interpret data and present results, including descriptive statistics, random sampling, normal distribution, confidence intervals, and hypothesis testing. (This prerequisite may be completed post-admission if necessary.)
  • Submit a current resume or curriculum vitae.

International Applications

  • International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 88 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
  • Applicants without previous graduate study and with an undergraduate GPA that is less than 3.0 may be considered for admission, but will be required to submit Graduate Record Exam (GRE) scores. Applicants from international universities are required to submit GRE scores.
  • An interview with the program’s admissions committee may also
  • be required.


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Your programme of study. Read more

Your programme of study

Are you interested in improving health outcomes and minimising the start or duration of disease by understanding the effects of diet on health? This dynamic subject area comes from years of research from the world renowned Rowett Institute at University of Aberdeen and a real need in society and organisational level to focus on improving health. This institute provides current and emeritus experts in all areas of human nutrition which include diet, gut health, bacteria and much more and it is one of the oldest institutes in this area with over 100 years of major discoveries.

There is now a growing recognition amongst the general population that diet and health are intertwined leading to growing consultancies, books, online support and clinics now specialising in specific areas of nutritional health to support changes in behaviour. Besides freelance and consultancy work you can become a Nutritionist and you can work in public health as a Policy Manager, Nutrition and Dietetics and as an academic.

The programme gives you a solid Master's level qualification in Nutrition at clinical level to allow you to work in both clinical level within health organisations and consultancy level within the community. Apart from an excellent understanding of Nutrition you also cover Public Health and Epidemiology which can open up wider opportunities at a more strategic level in organisations. You can also take this a step further by studying Health Economics if you wish to be involved in strategic operational areas of health organisations, policy and practice. This subject is very relevant internationally and carries transferrable knowledge to allow you to practice in different countries.

You develop understanding of:

  • Science of Nutrition
  • Molecular to Population level Nutrition
  • Food Chain and impact on choice and supply
  • Social and individual behaviour at each stage of life
  • How to apply knowledge to health promotion and recognise risks and benefits

University of Aberdeen offers a very successful free short course https://www.abdn.ac.uk/study/online/free.php within Nutrition and Wellbeing which is entirely online. Find out more about when this course is running if you would like to find out more about this subject area.

Courses listed for the programme

Compulsory Courses

  • Introduction to Online Learning
  • Fundamentals of Human Nutrition and Metabolism
  • Nutrition and Health Through the Life Stages
  • Assessment of Nutritional Health
  • Fundamentals of Research Design
  • Applied Statistics

Optional Courses

  • Introduction to Economics and Health Economics
  • Evidence-Based Health
  • Epidemiology
  • Health Informatics
  • Extended Research Project in Applied Health Sciences
  • Work Placement in Applied Health Sciences
  • Research Project in Applied Health Sciences

Find out more about courses

Find out more detail by visiting the programme web page

Why study at Aberdeen?

  • You are taught by experts from the Rowett Institute who have been responsible for ground breaking research in effects of milk on children's growth, partition chromatography and the Scottish Diet Action Plan plus research collaborations internationally and with food industries.
  • You are taught online which allows you to fit the programme around current work and life and it also allows you to study where you choose.
  • The programme is co-ordinated by the Medical School ranked 7th in the UK (Guardian 2016)

Where you study

Find out about fees  

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen

https://abdn.ac.uk/study/student-life



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The School of Computer Science and Statistics and the School of Medicine offer a joint MSc programme in Health Informatics. Health Informatics is broadly concerned with the application of Information Technology in the health sector. Read more
The School of Computer Science and Statistics and the School of Medicine offer a joint MSc programme in Health Informatics. Health Informatics is broadly concerned with the application of Information Technology in the health sector. It is a truly interdisciplinary field in which medicine, computer science, management science, statistics and engineering are all represented.

The main aim of the MSc programme is to give students a broad understanding of both the principles underlying the field of health informatics and of its practical applications. The course is intended for suitably qualified applicants currently working or aspiring to work in a position in the health sector which requires the efficient and cost effective application of information technology. The MSc course runs over two academic years (September - June) on a part-time basis, on Friday afternoons and Saturday mornings to facilitate those in full-time employment. The first year incorporates both taught and practical components with a strong emphasis on practical team-based continuous assessment.

Students take a total of seven modules from the following: introduction to health informatics; introduction to computing (for those from a health science background); introduction to health sciences (for those from a computing background); health information systems; clinical decision support systems; biomedical imaging; human computer interaction in healthcare; health informatics research paper and bioinformatics. Not all modules will be offered each year. Year 2 students receive instruction in research methodology and undertake an independent research project.

This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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This non-clinical course is run jointly with the Faculty of Engineering. It gives you a comprehensive education in basic materials science and the use of materials in dentistry and surgery. Read more

About the course

This non-clinical course is run jointly with the Faculty of Engineering. It gives you a comprehensive education in basic materials science and the use of materials in dentistry and surgery.

You’ll be taught by some of the leading academics in the fields of bio and dental materials science, tissue engineering, materials characterisation and biomedical engineering. You’ll also learn the principles of research and different techniques for evaluating dental materials and related health technologies.

Your career

We offer clinical and non-clinical courses that will further your career and develop your interests. Many of our clinical graduates go on to specialist dental practice, hospital practice or academic posts.

World-leading dental school

Our internationally recognised oral and dental research is organised into two overarching themes: ‘clinical and person centred’ and ‘basic and applied’. These themes are supported by three interdisciplinary research groups: Bioengineering and Health Technologies, Integrated Bioscience, and Person Centred and Population Oral Health.

We believe that dental science should not be constrained by the traditional boundaries created by specific clinical disciplines and that progress derives from a multidisciplinary approach. Our research supports our teaching enabling a blended approach to learning.
Your course will make the most of virtual learning environments and advanced practical sessions, as well as traditional lectures and seminars.

Facilities

You’ll develop your clinical skills in one of our two clinical skills labs or in our new virtual reality Simulation Suite where you can use haptic technology to undertake a range of clinical techniques.

You’ll complete your clinical training in Sheffield’s Charles Clifford Dental Hospital, part of the Sheffield Teaching Hospitals NHS Foundation Trust. There are 150 dental units with modern facilities for treatment under sedation, a well-equipped dental radiography department, oral pathology laboratories and a hospital dental production laboratory.

We have new modern research facilities and laboratories for tissue culture, molecular biology, materials science and histology- microscopy. All laboratories have dedicated technical support and academic expertise to guide you.

Core modules

Current Concepts in Dentistry; Dental Materials Science; Selecting Dental Materials for Clinical Applications; Science Writing and Health Informatics; Polymer Materials Chemistry; Structural and Physical Properties of Dental and Biomaterials; Group Projects and Developing Research; Introduction to Digital Dentistry and Dental Manufacturing; Dissertation.

Teaching

Teaching is through lectures, seminars and tutorials, personal academic study and self-directed learning, research project.

Assessment

You’ll be assessed on assignments, coursework, examination and research project dissertation.

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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.

Pathology Informatics and Business Application (PgCert) 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.

Course Structure

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)

Career Prospects

This programme will produce high calibre candidates who can thrive in the academic, health care delivery or bio-industry sectors.

Queen's postgraduates reap exceptional benefits. Unique initiatives, such as Degree Plus and Researcher Plus bolster our commitment to employability, while innovative leadership and executive programmes alongside sterling integration with business experts helps our students gain key leadership positions both nationally and internationally.



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