These postgraduate programmes aim to create highly sought-after researchers who are ready to apply their advanced knowledge and practical skills in the workplace or on further research.
You will learn how to collect, analyse and interpret social data and become skilled in interview techniques, surveys, problem-solving, communication skills and the latest industry software.
Students examine issues from across the social sciences and are introduced to both quantitative and qualitative research methods before having the option of specialising.
During the programme, you will research real world issues such as evaluating local health care services, predicting voting behaviour during elections or researching the impact of Hull’s year as the 2017 UK City of Culture on local people.
Taught by experienced researchers who are experts in their fields, the interesting and varied curriculum will be delivered through an enquiry-based approach to teaching including small-group work, tutorials, workshops and independent study.
It was designed with input from industry experts, former students and leading academics to ensure that it means the demands of the modern social research industry.
Students will be provided with a high level of academic support across the programme and all modules will be taught on one specific day (currently Thursdays) to accommodate part-time and working students.
There are four variants:
MSc in Social Research
Semester 1 (PGCert)
Semester 2 (PGDip)
Summer period (Masters)
MSc in Social Research with Quantitative Methods
Semester 1 (PGCert)
Semester 2 (PGDip)
Summer period (Masters)
MA in Social Research with Qualitative Methods
Semester 1 (PGCert)
Semester 2 (PGDip)
Summer period (Masters)
MSc in Social Research (Doctoral Training Pathway)
Semester 1 (PGCert)
Semester 2 (PGDip)
Summer period (Masters)
* All modules are subject to availability.
These programmes are an ideal route for those aiming for research careers in the public, voluntary or private sectors, including would-be senior civil servants keen to take advantage of the Government’s Fast Stream scheme to find the leaders of the future.
It equips students with practical skills and experience for a wide range of organisations including research agencies, charities, independent organisations, trade unions, pressure groups and lobby groups.
The programmes also offer continuing professional development for those already working as researchers and who want to advance their careers. It is also an excellent training programme for those wishing to progress to PhD level study.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Health Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Healthcare, with an already established strong relationship with Information & Communication Technologies (ICT), is continuously expanding the knowledge forefront as new methods of acquiring data concerning the health of human beings are developed.
Processing this data to extract valuable information about a population (epidemiological applications) or the individual (personalised healthcare applications) is the work of health data scientists. Their work has the potential to improve quality of life on a large scale.
Swansea University is the first institution in the UK to offer this taught master's programme in Health Data Science designed to develop the essential skills and knowledge required of the Health Data Scientist.
- A one year full-time taught master's programme designed to develop the essential skills and knowledge required of the Health Data Scientist.
- The Health Data Science course is also available for three years part-time study.
- An integrated programme of studies tailored to the essential skill set required for Data Scientists operating within healthcare organisations covering key topics in computation, data modeling, visualisation, machine learning and key methodologies in the analysis of linked health data.
- Hands on experiential learning from the professionals behind the Secure Anonymised Information Linkage (SAIL) Databank, a UK-exemplar project for the large scale mining of healthcare data within a secure environment.
- Strong collaboration links with colleagues from the Centre for Health Services Research of the University of Western Australia, a group of leading experts in the analysis of linked health data.
- The Health Data Science course is based within the award winning Centres for Excellence for Administrative Data and eHealth Research of Swansea University, awarded by the Economic and Social Research Council (ESRC) and Medical Research Council (MRC), enhancing the quality of the course.
The Health Data Science course is suitable for those working in healthcare with roles involving the analysis of health data and also computer scientists with experience in working with data from the healthcare domain, as well as biomedical engineers and other similar professions.
Students must complete 6 modules of 20 credits each and produce a 60 credits dissertation on a Health Data Science project. Each 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.
Health Data Science students are required to attend the University for 1 week (5 consecutive days) for each module in Part One. Attendance during Part Two is negotiated with the supervisor.
Modules on the Health Data Science programme typically include:
Scientific Computing and Health Care
Health Data Modelling
Introductory Analysis of Linked Health Data
Machine Learning in Healthcare
Health Data Visualisation
Advanced Analysis of Linked Health Data
The College of Medicine offers the modules on the Health Data Science course as standalone opportunities for prospective students to undertake continued professional development (CPD) in the area of Health Data Science.
You can enroll on the individual modules for the Health Data Science programme as either an Associate Student (who will be required to complete the module(s) assessments) or as a Non-Associate Student (who can attend all teaching sessions but will not be required to complete any assessments).
For information and advice on applying for any of the continuing education opportunities, please contact the College directly at [email protected].
Postgraduate study has many benefits, including enhanced employability, career progression, intellectual reward and the opportunity to change direction with a conversion course.
From the moment you arrive in Swansea, specialist staff in Careers and Employability will help you plan and prepare for your future. They will help you identify and develop skills that will enable you to make the most of your postgraduate degree and enhance your career options. The services they offer will ensure that you have the best possible chance of success in the job market.
The student experience at Swansea University offers a wide range of opportunities for personal and professional development through involvement in many aspects of student life.
Co-curricular opportunities to develop employability skills include national and international work experience and study abroad programmes and volunteering, together with students' union and athletic union societies, social and leisure activities.
For the MSc Health Data Science course, we are in the process of identifying opportunities for our students to complete volunteering placements with a number of our collaborative partners.
Have you ever wanted to ‘Mung’ data? Apply Machine Learning techniques? Search for hidden patterns? Be part of Big Data?
This course is your opportunity to specialize as a Data Scientist, one of the most in demand roles across all sectors including health, retail, and energy. Companies such as Google and Microsoft, and also public organisations such as the NHS are struggling to fill their vacancies in this field due to a lack of suitably qualified people. This course is unique in the UK in that it has been developed as a MSc conversion course – if you have a good honours degree in any discipline with a demonstrable mathematical aptitude, an enquiring mind, a practical and analytical approach to problem solving, and an ambition for a career in data science; then this course is for you.
During your time with us, you will develop an awareness of the latest developments in the fields of Data Science and Big Data including advanced databases, data mining and big data tools such as Hadoop. You will also gain substantial knowledge and skills with the SAS business intelligence software suite due to the partnership of the University with the SAS Student Academy.
"We are especially pleased to endorse the new MSc in Data Science. With the explosion of interest and investment in data science teams, our customers cannot get enough graduates with SAS-based analytical skills. Courses such as this new MSc are an important step forward by the University to addressing this skills shortage, especially amongst home students." - SAS
This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project worth 60 credits. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and could lead to ideas that you can develop for your MSc Project.
The course is focused around the underpinning knowledge and practical skills needed for employment within the data sciences industry. There will be 22 hours of lectures; 11 hours of tutorials and 22 hours workshops; 2 hours of examination-based assessment; and 245 hours of independent study, assessed coursework and preparation for examination. This makes a total of 300 hours total learning experience.
A recent report by e-Skills and SAS (Big Data Analytics: An assessment of the demand for labour and skills, 2012-1017) indicates the demand forecast for staff with big data skills is predicted to ”rise by 92% between 2012 and 2017, and by 2017 there will be at least 28,000 job openings for big data staff in the UK each year…”
With this qualification, you’ll be equipped with the skill set and technical knowledge relevant for the data science and big data job market.
The Informatics Research Centre in the School of Computing, Science and Engineering at the University of Salford builds on the history, success and achievements of the research in Computer Science and Information Systems developed at the University of Salford over the last thirty years.
Evolving around Data and Information in all their types and usages, the Centre covers all phases and processes from data pre-processing to engineering and visualisation. The Centre is developing novel methods and systems for the analysis and recognition of various data sets, learning behaviours and causal models. The techniques and systems developed have a wide range of potential applications including digitisation of historical documents, medical diagnosis, semantic tagging, segmentation of types of viewers and their behaviours, text mining and retrieval and data visualisation.
Forensic computing, digital investigation and Cyber security is another area of expertise supported by the centre both at the theoretical and application levels.
Many students go on to further research in the fields of:
Facilities include a new Dell Cloud Computing platform with OpenStack and lab workstations, providing access to software platforms and languages specialized in Machine Learning, Data Mining, Statistical Analysis and Big Data including:
On this established and well respected course, you gain the knowledge, skills and attributes needed to be an effective sport and exercise science practitioner and/or researcher. You develop strong technical, analytical, practical and professional skills, alongside specialist skills in • biomechanics and performance analysis • physiology and nutrition • strength and conditioning.
The course enables you to
We offer a first-class suite of research and teaching laboratories alongside excellent facilities offered by our partnership venue at the English Institute of Sport, Sheffield. Our laboratories are all British Association of Sport and Exercise Science (BASES) accredited.
The four overarching themes in the programme are
Many of the teaching staff support elite athletes as part of their work and undertake research in sport and exercise. We benefit from the expertise of our staff in the Centre for Sport and Exercise Science (CSES). The team for sport performance have worked successfully with athletes competing at the Olympics, Paralympics, and Winter Olympics. They have provided, or are currently providing, sport science research and consultancy services at elite level for the • Amateur Boxing Association • Amateur Swimming Association (diving and swimming) • British Cycling • British Speed Skating Association • British Skeleton-Bob Team • English Bowls Association • English Golf Union • Royal Yachting Association • GB table tennis • GB volleyball.
You benefit from CSES' activities as they allow us to keep course content at the cutting edge, based on our knowledge and experience of sport and exercise science delivery. You can also benefit from a work-based learning programme to help develop your experience of working in multidisciplinary teams, supporting athletes and coaches.
During the course you use a mix of traditional and online learning resources to ensure the course is flexible and can fit in with your existing commitments.
The quality of our provision was rated 24/24 by the Higher Education Council.
Sheffield Hallam are a Skills Development Partner of the Chartered Institute for Managing Sport and Physical Activity.
This course is designed to meet some of the needs of the British Association of Sport and Exercise Science (BASES), and the United Kingdom Strength and Conditioning Association accreditation.
The masters award is achieved by successfully completing 180 credits.
30 credits from:
As a graduate you benefit from the skills and experience gained from the employability modules and our connections with industry.
Previous graduates have gone into careers as • developers for suppliers of sport equipment • sport science officers • advisors for national governing bodies and the English Institute of Sport • coaches • developing corporate wellness programmes in the health and fitness industry • advisors to local authorities and local health trusts • strength and conditioning coaches • sport and exercise nutritionists • researchers • technicians • university lecturers.
The course's strong focus on research skills provides an ideal platform for further study at PhD level. It is also an important first step into employment and can open many other doors into further training.
Sport scientists support athletes or sports clubs, they generally provide advice and support, designed to monitor and improve sport performance, alongside a team of specialists including coaches, psychologist, performance managers and medical staff. Areas of expertise include • strength and conditioning • physiology • nutrition and analysis of movement and tactical performance.
Exercise scientists are more concerned with improving a person's health and helping them recover from illness through a structured programme of physical activity and other health-based interventions. They are also involved with preventative treatments and work closely with GPs and primary care trusts or private healthcare organisations. Exercise scientists might be employed by local authorities to run community based health and exercise initiatives.
It may be possible to move into a particular clinical area, such as cardiology, or work as a health promotion specialist for a local authority or healthcare trust. Our close links with the National Centre for Sport and Exercise medicine, part of which is based in Sheffield, will provide additional opportunities to those wishing to pursue careers in this area.
Other careers also include • the pharmaceutical industry • the armed and uniformed services • journalism • teaching. If you are thinking about an academic career, many universities with sport-related courses require staff to have a higher degree.
There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more.
A key challenge is then to make use of this wealth of data. How can we manage this data, and analyse it to exploit useful information that can guide decision making?
This emerging area goes under the name “Data Science”. There is growing demand for people, “Data Scientists”, who have the skills to manage and analyse enormous amounts of data using a range of techniques such as data mining, statistical techniques, and machine learning.
Data Scientist has been called the “Sexiest job of the 21st century”, and the unique combination of technical skills (stats, data management) and business understanding has been said to make Data Scientists “highly sought after and highly paid”.
The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).
The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.
Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.
The programme of study shall consist of seven 20 point taught papers together with a 40 point applied project or research project. Papers are either taught in semester one, semester two or are full-year papers.
You must complete:
Plus one of the following project papers
BSNS 580 - Research Project (for students who may wish to progress to PhD study)
The University of Otago coursework masters programmes provide you with an opportunity to specialise in advanced study with a focus on either applied practical or academic research.
Graduates of the MBusDataSc will gain skills in three areas: those relating to the business and organisational context, those relating to computing technologies for managing data, and those relating to data analysis techniques.
As a graduate of the MBusDataSc you should be able to: