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Take advantage of one of our 100 Master’s Scholarships to study Health Data Science 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 Health Data Science 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.

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.

Key Features of the Health Data Science Programme

- 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.

Who should study MSc Health Data Science?

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.

Course Structure

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.

Attendance Pattern

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

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

Professional Development

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 .

Employability

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.

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This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data. Read more
This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.

STUDY IN TWO GLOBALLY-RECOGNIZED INSTITUTIONS

Ecole Polytechnique (https://www.polytechnique.edu/en) and HEC Paris are both world leading academic institutions, renowned for the quality of their degrees, faculties and research (see HEC rankings http://www.hec.edu/Masters-programs/About/Rankings).

Their association within this Joint Degree represents the best Business/Engineering combination Europe could possibly offer, with extraordinary added value for the students who will follow this program in Big Data and Business.

LEAD THE DIGITAL TRANSFORMATION OF THE ECONOMY

Big data marks the beginning of a major transformation of the digital economy, which will significantly impact all industries. There are three main challenges to face:

> Technological: dealing with the explosion of data by managing the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.)
> Scientific: replacing mass data with knowledge,i.e. developing the expertise that makes it possible to structure information, even out of tons of vague or corrupt data.
> Economic: managing data both to control risks and benefit from the new opportunities they offer. On the one hand, it is absolutely vital to be able to control the flow of information, anticipate data leaks, keep the information secure and ensure privacy. On the other hand, it is also essential to come up with solutions capable of transforming this flow of data into economic results and, at the same time, discover new sources of value from the data.

ACQUIRE THE SKILLS TO MAKE A DIFFERENCE IN TOMORROW’S DIGITAL WORLD

Exploiting this vast amount of data requires the following:

> A mastery of the sophisticated mathematical techniques needed to extract the relevant information.
> An advanced understanding of the fields where this knowledge can be applied in order to be in a position to interpret the analysis results and make strategic decisions.
> A strong business mindset and an even stronger strategic expertise, to be able to fully benefit from the new opportunities involved with Big Data problematics and develop business solutions accordingly.
> The ability to suggest and then decide on the choice of IT structures, the ability to follow major changes in IT systems, etc.

Therefore the program has three objectives:

> To train students in data sciences which combines mathematic modelling, statistics, IT and visualization to convert masses of information into knowledge.
> To give students the tools to understand the newest data distributing structures and large scale calculations to ease decision-making and guide them in their choices.
> To form data ‘managers’ capable of exploiting the results from analysis to make strategic decisions at the heart of our changeable businesses.

MAKE THE MOST OF WORLDWIDE NETWORKING AND ALUMNI POWER

Students will benefit not only from the close ties that HEC Paris has developed with the business world but also those of Ecole Polytechnique, through various networking events, conferences and career fairs.

The HEC Alumni network alone, consists of more than 52,300 members in 127 countries.

Program Details

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Program-Details

Campuses

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Campuses

CAREERS

As “Big Data” affects all kinds of companies and all sectors, students will have a very large range of career options upon graduation, from consulting firms to digital start-ups, not to mention very large multi-national companies.
In fact, as can be seen in all areas of cutting-edge innovation, there is a growing demand for high level managers who can combine strong technical skill with business know-how.

This is especially true when it comes to Big Data topics, and students graduating from data science and Big Data programs are therefore highly sought after on the job market.

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/Careers

FAQs

http://www.hec.edu/Masters-programs/Master-s-Programs/Dual-Degree-Programs-with-Partner-Institutions/MSc-Big-Data-for-Business-Joint-Degree-with-Ecole-Polytechnique/FAQ

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The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. Read more
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. For more information visit our Postgraduate Funding Tool or contact Dr Martin Gairing.

The MSc in Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. Run in conjuction with the STFC Hartree Centre, this MSc programme enables students to gain a specialist qualification in an area of computing that is in great demand worldwide.

Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that “big data” sets are becoming common-place.

The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprises where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology.

There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems.

The MSc in Big Data and High Performance Computing is designed to address this anticipated skills gap and provide those completing the programme with the necessary abilities (abilities which will be highly desirable within the employment market) to address big data centric problems in the context of HPC.

The programme has been designed and operates in close collaboration with the Hartree High Performance Computing Centre and focuses on the practical application of Big Data and HPC technology.

The Hartree centre is underpinned by £37.5 million of Government investment and hosts the UK’s premier supercomputing environment. This partnership provides a unique and unrivalled MSc programme and ensures that students completing the programme have a ready route into employment, facilitated by commercial contacts provided as part of the individual project.

You may also be interested in our Big Data Management MSc, Geographic Data Science MSc and Risk and Uncertainty MSc. For more information visit http://www.liverpool.ac.uk/study/postgraduate

The programme is organised as two taught semesters followed by an individual project undertaken over either the summer or, if desired, during the following year of study. Within each semester students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a project dissertation, also 60 credits, making an overall total of 180 credits.

Why Computer Science?

Excellent partnerships

The MSc in Big Data and High Performance Computing programme has been developed, and operates, in close collaboration with the STFC Hartree Centre at Daresbury. The Hartree centre is underpinned by £37.5 million off Government investment and hosts the UKs premier supercomputing environment. The Department of Computer Science at Liverpool provides for a wide range of Big data, HPC and related skills and experience. This partnership means that this programme is unique and unrivalled. The partnership also ensures that students completing the programme have a ready route into employment facilitated by commercial contacts provided as part of the individual project element of the programme, which will in most cases is conducted with respect to real commercial requirements.

State of the art teaching and research

MSc Students who pursue their postgraduate study within the Department of Computer Science at the University of Liverpool will be an integral part of a department that is internationally renowned for its advanced research and teaching. The Department came seventh nationally in the 2008 research assessment exercise.

The Department of Computer Science is organised into four main research groups:

Agents
Algorithmics
Logic and Computation
Economics and Computation
Together these groups provide a critical mass of expertise equal to the most complex challenges in Computer Science, within a setting that offers world-class research facilities and support.

Teaching

You will be taught by lecturers who are internationally known for their research. The MSc in Big Data and High Performance Computing is offered full-time on-campus.

The taught components of the programme offer a choice of contemporary computing topics, a strong theoretical basis and the opportunity to gain sound practical and critical analysis skills. The programme can be taken in the form of a single year (12 months) of study with the individual project being undertaken over the summer months, or alternatively the project can be undertaken in the following academic year.

The computing resources include an extensive integrated network of workstations running the Linux operating system and the X-Windows graphical interface, together with a large number of PCs running Microsoft Windows. Staff and students have easy access to high quality laser printing facilities and a range of specialist software.

Career prospects

The MSc in Big Data and High Performance Computing (HPC) is specifically designed to fill a "skills gap" in the employment market. More specifically it is designed to provide students with the necessary skills to allow them to apply Big Data and HPC concepts to real problems. The programme has been structured to facilitate the practical application of this "cutting-edge" technology to real-world problems. The intention is that at the end of the programme students will be able to apply the knowledge gained on the programme specifically to real-world big data and HPC problems. However, the programme is also designed to furnish students with a set of transferable skills that are of particular relevance across the IT industry.

The programme has been developed, and is delivered, in close collaboration with the Hartree Centre at Daresbury which operates the UK's largest supercomputer (capable of a thousand trillion calculations per second). Hartree have close links with industry, and provide assistance with respect to the group and final individual projects, the latter conducted in partnership with commercial and/or non-commercial organisations.

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The data centre sector is growing and is central to our daily lives. But there’s a shortage of data centre managers who can address the rapid change and complexity faced by the industry. Read more

Course Overview

The data centre sector is growing and is central to our daily lives. But there’s a shortage of data centre managers who can address the rapid change and complexity faced by the industry. Our course will equip experienced professionals with the knowledge and capability to meet the demands of data centre leadership.

Data centres are fast-moving, complex businesses that need decisive, knowledgeable leaders. Our MA course aims to give practising data centre managers the opportunity to develop and advance their leadership abilities.

While our MA includes technical elements, it’s not designed to be a technical course. Rather, it takes broad-based contemporary business theory and applies it to data centre management to help you apply your learning effectively and immediately.

As all of our students continue to work while studying, you’ll have the opportunity to look at your current work and past professional experience to consider how you can apply what you’ve learnt in practice. Together we’ll analyse historical and contemporary management theory, giving you a firm understanding of how it’s evolved, while challenging current thought on business and leadership issues.

Consolidating the breadth of philosophical and theoretical concepts of leadership with the essential underpinning theories of change, risk management, finance, general management and human resources management, our MA programme offers you the opportunity to apply generic constructs to your own data centre workplace.

By the time you graduate, you’ll have the ability to consider, and then apply, leadership and management principles in a number of ways, in line with your organisation’s needs and external demands.

Our lecturers are experienced practitioners with strong professional links. What’s more, our modules are developed with input from industry specialists so you can be sure they’re current, authentic and challenging. Specialists also provide guest lectures, case study material and advice on current and emerging issues for use as ‘provocations’ on our course.

Lord Ashcroft International Business School is one of the largest business schools in the east of England. You'll benefit from state-of-the-art teaching and learning facilities, including our Virtual Learning Environment (VLE) through which you can access study resources and help.

See the website http://www.anglia.ac.uk/study/postgraduate-taught/data-centre-leadership-and-management

Year 1 – Postgraduate Certificate (PG Cert)

Data Centre Leadership
What are the challenges of leading in a complex and dynamic industry? This module sets the scene for the course by helping you develop the aptitude and knowledge needed to lead successful data centre teams, departments and companies. This module looks at topics such as strategic analysis, change management and organisational dynamics, as well as how to foster innovation within the business.

Finance for Non Financial Managers
Finance is a core element of any business activity and a key element of business decisions. Therefore, having a deeper understanding of financial management will enhance your contribution to the business and increase your influence within the company.

Sustainable Design for High Capacity Data Centres
The design of data centres can have a huge influence of their efficiency and sustainability. Leaders who can anticipate and manage future trends in design and sustainability will have an advantage in a fast moving industry. This module will bring you the most up to date thinking on data centre design, while also having a strong emphasis on management and monitoring to maximise efficiency and sustainability.

Year 2 - Postgraduate Diploma (PG Dip)

Data Centre Infrastructure Management, Security and Disaster Recovery
What are the issues when managing complex resources? What strategies can be used to ensure security, identify risk and vulnerability, and mitigate against these? How can you plan for disasters, and can you plans be built with future developments in mind? This module takes these questions and more, helping you to develop answers in the context of your own work.

HRM and Organisational Capability Development
This module looks at managing human resources from the leader’s perspective. You will look at how organisational structures influence behaviour, strategies for managing talented individuals, how to manage contingent labour and organisational performance in a dynamic environment.

Decision Making in Critical Services
Data centres are mission critical environments, experiencing high levels of complexity and change. Due to this, the data centre context is highly sensitive to the outcomes of decisions, and it is important that leaders have the knowledge and capacity to consider and implement complex decisions. This module will give you the opportunity to develop your decision making capabilities, particularly where decision outcomes may be disruptive, innovative or untested in current contexts.

Year 3 – Master of Arts Degree (MA)

Contemporary Issues in Leadership and Management
The data centre industry is a dynamic environment, with new issues emerging as technology develops, political influences change and the global economic situation evolves. These factors all impact on day-to-day leadership and management within the industry. This module will help you to build your own understanding of issues that influence the industry, develop your responses and grow as a thought leader.

Research Methods for Business and Management
Research skills are important in business as well as academia. Producing high quality research can drive innovation and enterprise and form a crucial part of the professional’s portfolio of capability. This module will enable you to develop the key project management and data analysis skills needed to deliver Masters Level research.

Post Graduate Major Project
This final module builds on the knowledge that you have developed through the course, giving you a chance to produce an in-depth academic study into a topic of your choice. Your project could address an issue in your workplace, or examine a theme in the wider industry. Under our supervision, you will further build your own specialist expertise and ultimately enhance your career development.

Assessment

You will complete an assessed piece of work at the end of each module, and a Postgraduate Major Project in your final year. Your assessed work will be relevant to your job and designed to help you develop your skills, knowledge and career.

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The World Health Organisation estimated that in 2012 air pollution was associated with 7 million premature deaths worldwide. This finding more than doubles the previous estimate and confirms that air pollution is now the world's largest single environmental health risk. Read more
The World Health Organisation estimated that in 2012 air pollution was associated with 7 million premature deaths worldwide. This finding more than doubles the previous estimate and confirms that air pollution is now the world's largest single environmental health risk.

As part of the MSc in Global Air Quality; Management & Science you will receive training from leading air quality and health experts, who currently advise the World Health Organisation, the UK Government and the European Commission. From them, you will gain a detailed knowledge and understanding of the contemporary theory and practice of air quality and its management.

Key benefits

- You will be taught by internationally renowned experts and practitioners from King's and elsewhere.
- The course integrates the theoretical and practical aspects of air quality and health related sciences
- You will gain specific and targeted training and research in the field of air quality management
- Have access to and use of sophisticated air quality instruments, air quality models, emission inventories and innovative data analysis methods
- Students will form strong links with departmental research groups and external organisations in the UK and beyond
- Located in the heart of London

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/global-air-quality-management-and-science.aspx

Course detail

- Description -

The MSc in Global Air Quality; Management & Science combines research excellence with strong links to business and policy makers. A unique feature of the course is the coverage of all aspects of air quality from emissions, through measurement and modelling to exposure science and the impacts of air pollutants on health. An additional feature is the study of the co-benefits of climate change and air quality. The course is primarily taught with practical classes and exercises, along with a final dissertation.

- Course Purpose -

This programme provides the educational opportunities that will enable students to develop the knowledge, research understanding, analytical and reasoning skills required for advanced air quality assessment, management research.

Required Modules:

- Air pollution science
- Air pollution measurement techniques
- Air quality and health
- Air quality modelling
- Air quality data science
- Exposure science
- Air quality management
- Air quality dissertation

Career Prospects

Large multinational consultances, national government agencies, the European Commission and NGO's.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Read more

Research profile

Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Large data sets are now generated by almost every activity in science, society and commerce.

This EPSRC-sponsored programme tackles the question: how can we efficiently find patterns in these vast streams of data?

Many research areas in informatics are converging on the problem of data science. Those represented in the School include machine learning, databases, data management, optimization and cluster computing; and also the unstructured data issues generated in areas such as natural language processing and computer vision.

Our programme will allow you to specialise and perform advanced research in one of these areas, while gaining breadth and practical experience throughout data science.

A short sample of our research interests includes:

machine learning applied to problems in biology, astronomy, computer science, engineering, health care, and e-commerce
database theory and technology for managing unstructured data and for maintaining trust in data
big data and management of streaming data
management of unstructured data, including natural language processing, speech processing, and computer vision

You will be supervised by one of our 45 world-renowned faculty. You will also benefit from interacting with a group of 35 leading industrial partners, including Amazon, Apple, Google, IBM, and Microsoft.

This will ensure your research is informed by real world case studies and will provide a source of diverse internship opportunities. Moreover we believe that key research insights can be gained by working across the boundaries of conventional groupings.

Training and support

The MScR is the first part of a longer 1+3 (MSc by Research + PhD) programme offered by the School through the EPSRC.

Our four-year PhD programme combines masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake six masters level courses, spread throughout machine learning, databases, statistics, optimization, natural language processing, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take three courses and a larger project, instead of six courses.)

At the end of the first year, successful students will be awarded an MSc by Research. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

Our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

More broadly, the award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

We intend for our graduates to become the research leaders, both in industry and academia, whose work will lead the way in data science. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

You will be part of a new generation of data scientists, with the technical skills and interdisciplinary awareness to become R&D leaders in this emerging area.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.

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Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. Read more
Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. This is one of the first MSc programmes in the UK covering these leading-edge technologies. The programme provides students with the deeper knowledge, advanced skills and understanding that will allow them to contribute to the development and design of big data systems as well as distributed/internet-enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data analytics, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, etc.).

Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet. The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.

Through our short course centre opportunity may also be provided to study for the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate; Oracle Certified Associate (OCA).

Visit the website http://www2.gre.ac.uk/study/courses/pg/com/cgbdbi

Computing - General

Come and study in the award-winning Department of Computing & Information Systems on the magnificent Greenwich Campus. Welcoming home and international students from all backgrounds, CIS provides an exciting, diverse and friendly environment in which to study.

The latest university league table published in the Sunday Times, has rated the computer science department as seventh in the UK for teaching excellence.

What you'll study

Full time
- Year 1:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Architectures and Administration (15 credits)
Database Tools (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Database Architectures and Administration (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

- Year 2:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Tools (15 credits)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Students are assessed through examinations, coursework and a project.

Professional recognition

This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). For a full Chartered status there are additional requirements, including work experience. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Career options

Graduates from this programme can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, analysts.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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Do you want to develop your knowledge about society and politics, as well as honing the sharp analytical skills required by modern organisations? Our new MA draws on our considerable expertise in quantitative methods. Read more
Do you want to develop your knowledge about society and politics, as well as honing the sharp analytical skills required by modern organisations? Our new MA draws on our considerable expertise in quantitative methods.

It will develop your understanding of the innovative quantitative approaches in political science concerning data in unprecedented scales in text, image, numeric and video formats, and their impact on public policy. You’ll sharpen your communication and collaboration skills through a mixture of small group seminars, lectures and workshops, which may include mini-lectures followed by discussion, Q&A sessions, organised debates, peer presentations, policy briefs, and group work.

Our core modules will give you the key critical and technical skills to deal with (big) data. You’ll also select optional modules which may be chosen from other departments in areas including digital studies, methods, gender, media, health, governance, or human rights. You will become highly employable in areas requiring strategic decision-making or analysis, whether in academic or non-academic research, international organisations, NGOs or private companies.

More generally, you will be able to contribute to any activity involving statistics and data management, including strategic analyses and planning, auditing, marketing, research, international development and diplomacy.

Programme Content

In contrast to degrees such as Data Science or Data Analytics where the focus ends up being almost exclusively on data practices and computational tools, the MA in Big Data provides students with a knowledge and understanding of the central and innovative quantitative approaches in political science, the debates they have generated, and the implications of different approaches to issues concerning big data and public policy. The MA also draws on the considerable expertise which Warwick now has in quantitative methods located in PAIS, Sociology, the Centre for Interdisciplinary Methodologies (CIM) and the Q-Step Centre.

Given that a noteworthy part of big data is actually social data, this MA programme seeks to attract students from a variety of social science-related disciplines, including politics, sociology, philosophy and economics; you do not need a background in statistics to be eligible for the course. Students are required to take two core modules (one in each academic term), Quantitative Data Analysis and Interpretation and Big Data Research: Hype or Revolution?, and have a range of optional modules to choose from in PAIS or from other departments across Warwick including Law, Philosophy, Sociology and the CIM. Graduates of this degree will be able both to engage technically with data released at a new scale and to keep a critical expertise on their relevance and quality, skills which are increasingly required in the competitive global job market.

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This programme will help broaden your horizons and give your studies a global outlook. The dual award, which offers practical experience, builds on the Postgraduate Diploma Quality Management at UWS (see page 164) with additional study at University of Angers, France. Read more
This programme will help broaden your horizons and give your studies a global outlook. The dual award, which offers practical experience, builds on the Postgraduate Diploma Quality Management at UWS (see page 164) with additional study at University of Angers, France.

About the programme

Quality Management is the application of specialised managerial and technological skills to achieve the desired quality at a minimum cost. It also addresses strategic quality issues and leadership in establishing a total quality ethos which focuses on achieving customer satisfaction.

Our close links with commerce and industry ensure the programme reflects the latest in quality thinking and techniques, and our laboratories have industry-standard equipment. It will enhance your understanding of modern developments within the global field of quality.

This dual award programme is the same as the MSc Quality Management (see page 164) but with additional study at the University of Angers in France. Funding options are available for the period of study in France. At the end of the programme you will receive two Masters; MSc Quality Management (International) from UWS, and MSc ISMP (Ingénierie des Systèmes et Management de Project) from University of Angers. Classes in France are taught in French but you can sit exams and assignments in English.

Your learning

MSc Quality Management (International) Postgraduate Diploma
• Operations and Project Management
• Interpersonal Skills and Change Management (10 point module)
• Research Design and Methods (10 point module)

plus one from:
• Service Quality
or
• Reliability and Experimental Design for Industry

MSc ISMP
You will also study:
• Formation Générale
• Management de projet
• Qualité Logiciel

MSc

Upon successful completion of the taught modules listed above you will undertake the MSc research project, which can be carried out within industry in Scotland or France.

Our Careers Adviser says

Graduates seek employment as quality or continuous improvement managers in various organisations including manufacturing, electronics, engineering, public sector and service organisations.

First-class facilities

Get the hands on experience you need to succeed. We have excellent specialist facilities which support our research students and staff. These include an advanced chemical analysis lab: with state-of-theart chemical analysis for isotopic and elemental analysis at trace concentrations using ICPMS/OES and the identification of organic compounds using LCMS; and the Spatial and Pattern Analysis (SPAR) lab: providing high specification workstations, geographical information system (GIS) software, geochemical and image processing facilities to support data management in science research.

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Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. Read more
Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. It is essential for companies to embrace so that they can understand their customers better, develop new products and cut operational costs. This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. It is aimed at people who want to move into this rapidly expanding and exciting area.

The modules on this course help you develop the core skills and expertise needed by the data scientist. The course can be split into three main areas, statistics, computing and management. In the statistics section you study modules on data quality, data mining and data modelling. These modules cover the three main data areas, which are ensuring that data is reliable and of a high quality, searching the data to discover new information and presenting interpretations of that data to the end user.

The computing section covers areas related to massive datasets stored in the cloud, how data is stored and utilised within the distributed systems of an enterprise and how organisations can utilise data to change and improve business processes. The management modules are focused on developing your core skills around professionalism and research. All of which are valuable skills during your university studies and in your career.

Our partnerships with business inform the course design, ensuring the content is relevant, up to date and meets the needs of industry. These partnerships also enable the inclusion of some leading edge software such as SAS, SAP Hana, and Hadroop within the course.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/msc-big-data-analytics

Key areas of study

Key areas of study include
-Data quality and analysis.
-Technologies to store and mine data.
-Professionalism and research.

Professional recognition

This course includes the SAP Business Intelligence with SAP BW 7.3 and SAP BI 4.0 e-academy (UB130e). You also have the opportunity to sit the SAP certification exam and the SAS 9 base certification exam. Sheffield Hallam is a member of the SAS Student Academy, the SAP Student Academy and founding member of the SAP University Alliance.

Course structure

Full time – 12 to 18 months.
Part time – up to 6 years.
Starts September.

Core modules
-Research skills and principles
-Industrial expertise
-Data integration
-Statistical modelling
-Data mining
-Handling data in the cloud
-Big data and distributed systems
-Advanced statistical modelling
-Dissertation

Options
Choose one from:
-Organisational dynamics
-Social and economic aspects of the cloud

Assessment: essays, assignments, computer-based tests, practical projects, presentations, vivas.

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Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data. Read more
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the information age and the knowledge economy, data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society.

The Data and Knowledge Management pathway allows students to take specialist themes concerned with methods and technologies for the adequate management of data and knowledge. The Managing Data theme focuses on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modelling, and optimisation, while exposing students to relevant applications. The Advanced Web Technologies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

Students following the Data and Knowlege Management pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern data and knowledge management tools and technologies. This includes data and knowledge engineering positions in all areas where data is stored and managed electronically, i.e., in all areas, including the finance, retail, and healthcare sector.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.

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This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible. You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. Read more
This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. You will develop technical, statistical, analytical and data mining skills. The course incorporates methods of statistical analysis and data mining to extract understanding from data, formulate high-quality data models and interpret them to ‘tell a story’. You will learn how to communicate these effectively to stakeholders, bearing in mind ethical, legal and societal implications.

You will be introduced to data science concepts, techniques and algorithms for processing and visualising datasets so as to infer useful, actionable knowledge.

Features and benefits of the course

-The School has an extensive range of equipment in our own specialist laboratories which is supported by a dedicated team of technical staff.
-Research in the School was rated 'internationally excellent' with some rated 'world-leading' in the 2014 Research Excellence Framework (REF).
-Our online virtual learning platform Moodle, provides access to lectures, course materials and assessment information.
-Classes are concentrated on certain days of the week to facilitate part-time students’ attendance and allow full-time students to undertake part-time employment if necessary.
-The School of Computing, Mathematics and Digital Technology is a member of the Oracle Academy.
-We are an academic partner of the Institute of Information Security Professionals (IISP). This partner status recognises our expertise in the field of information and cyber security.
-We are also an Academy of the Computer Technology Industry Association (CompTIA) and deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.

Placement options

Some students undertake practical work for their projects while working in organisations which have offered placement opportunities.

About the Course

The School has an extensive range of equipment in our own specialist laboratories which are supported by a dedicated team of technical staff, including GPU clusters to support big data processing.

Classes are concentrated on certain days of the week to facilitate part-time students’ attendance and allow full-time students to undertake part-time employment if necessary.

Your individual project will investigate a challenging but constrained data science problem. The project will involve performing an end-to-end science task pipeline including data collection, formulation of one or more questions to be asked about the data, typical preprocessing steps, for example, cleaning, transforming and exploring, analysis, applicable learning methods, modelling, visualisation, interpretation and assessment of models.

Assessment details

Assessment will be through coursework, examination and dissertation.

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This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights, handling large data sets to managing investments and minimising risks. Read more

This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights, handling large data sets to managing investments and minimising risks. The skills of Operational Research (OR) and Data Science are in high demand.

The MSc in Operational Research with Data Science is a new, forward-looking programme that delivers high-quality training in operational research, optimization and statistics. Students will have strong technical skills in these areas and the ability to apply them using appropriate software.

This MSc programme delivers:

  • technical skills in operational research, optimization and statistics
  • practical skills in programming and modelling for a wide range of applications
  • communications skills in writing and audio-visual presentation

Programme structure

You need to obtain a total of 180 credits to be awarded the MSc. All students take courses during semester 1 and 2 to the value of 120 credits. Successful performance in these courses (assessed through coursework or examinations or both) permits you to start work on a three-month dissertation project (60 credits) for the award of the MSc degree.

Compulsory courses have previously included:

  • Fundamentals of Optimization
  • Fundamentals of Operational Research
  • Methodology, Modelling and Consulting Skills
  • Computing for Operational Research and Finance

Themed courses have previously included:

  • Simulation
  • Statistical Regression Models
  • Machine Learning & Pattern Recognition
  • Introductory Applied Machine Learning
  • Bioinformatics 1
  • Stochastic Modelling
  • Credit Scoring
  • Large Scale Optimization for Data Science
  • Modern Optimization Methods for Big Data Problems
  • Optimization Methods in Finance
  • Combinatorial Optimization
  • Time Series Analysis and Forecasting
  • Advanced Computing for Operational Research
  • Operational Research in Telecommunications
  • Biomedical Data Science
  • The Analysis of Survival Data
  • Likelihood and Generalized Linear Models
  • Probabilistic Modelling and Reasoning

Optional courses chosen from postgraduate courses in the following areas:

  • Finance
  • Industry
  • Optimization
  • Statistics
  • Data Science

Learning outcomes

At the end of this programme you will have:

  • flexible problem-solving skills based on deep knowledge of operational research, optimization, data analysis techniques and the ability to apply them using appropriate software
  • transferable skills to maximize their prospects for future employment, including writing, oral presentation, team-working, numerical and logical problem-solving, planning and time-management

Career opportunities

Graduates will gain the transferable skills required to pursue careers in a data-rich operational research environment, and will be in an ideal position to apply for work in a wide range of institutions in the public and private sector. The degree is also excellent preparation for further study in operational research, optimization or data science.

Industry-based dissertation projects

The dissertation projects of approximately half the students on this programme take place in public and private sector organisations. Other students choose a University-based project.



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Our MSc Delivering Quality Healthcare programme has been created for experienced healthcare professionals and is designed to empower you to operate at an advanced level within your field. Read more
Our MSc Delivering Quality Healthcare programme has been created for experienced healthcare professionals and is designed to empower you to operate at an advanced level within your field.

The programme is informed by the current healthcare agenda and aims to support and drive future change, striving for integrated and higher quality care.

PROGRAMME OVERVIEW

Our programme will produce managers and practitioners able to improve the patient experience through innovation, integrated care, technological improvements and their position at the forefront of advances in healthcare.

The curriculum of this programme reinforces the need for professionals to demonstrate improvement in their care delivery through high-level, expert knowledge and an in-depth understanding of the context of healthcare management and delivery.

Staff in the School of Health Sciences are motivated to support students to meet the challenges they face in their practice with a solution-focussed approach, utilising the existing evidence base whilst demonstrating creativity in their own research approaches.

PROGRAMME STRUCTURE

The full-time non-endorsed programme is studied over one academic year. The endorsed part time programmes are studied over five academic years (60 months). The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Core Modules

-Decisions, Judgements and Risks
-Dissertation
-Leadership and Innovation
-Research Design and Methodology
-Transforming Services for Quality
-Delivering Quality Healthcare (full-time) core modules
-Enabling Individuals to Achieve Health, Wellbeing and Independence
-Evidence Based Practice
-Fundamentals of eHealth
-Fundamentals in Quality Improvement and Patient Safety

Pathway Modules

-Acutely ill patient
-Care of the Acutely Ill Patient
-Complex Health Assessment

Cancer and Older People
-Cancer in Society
-Understanding the Complexities of Caring for the Older Person

Cancer
-Cancer in Society
-Challenges in Pain Management

ehealth
-Fundamentals of e-Health
-Innovation and Practice Development in Long-Term Conditions

Long Term Conditions
-Leading and Managing Long Term Conditions
-Innovation and Practice Development in Long-Term Conditions

Maternal, Child and Family Health
-Women’s Health and Wellbeing
Or
-Safeguarding Children, Young People and Vulnerable Adults
And
-High Risk Midwifery
Or
-Enabling Individuals to Achieve Health, Wellbeing and Independence

Older People
-Understanding the Complexities of Caring for the Older Person
-Developing Skills and Supporting Quality Dementia Care in the Acute Environment

Paramedic Practitioner
-Evidencing Your Practice
-Complex Health Assessment
-Leading and Managing Long-Term Conditions
-Managing Common Illnesses and Injuries

Patient Safety
-Fundamentals in Quality Improvement and Patient Safety
-Innovations in Quality Improvement and Patient Safety

Optional Modules

-Cancer in Society
-Care of the Acutely Ill Patient
-Challenges in Pain Management
-Complex Health Assessment
-Developing Skills and Supporting Quality Dementia Care in the Acute Environment
-Enabling Individuals to Achieve Health, Wellbeing and Independence
-Evidencing Your Practice
-Fundamentals of e-Health
-Fundamentals in Quality Improvement and Patient Safety
-High Risk Midwifery
-Innovation and Practice Development in Long-Term Conditions
-Innovations in Quality Improvement and Patient Safety
-Leading and Managing Long-Term Conditions
-Managing Common Illnesses and Injuries
-Safeguarding Children, Young People and Vulnerable Adults
-Understanding the Complexities of Caring for the Older Person
-Women’s Health and Wellbeing

EDUCATIONAL AIMS OF THE PROGRAMME

The aim of this programme is to equip and empower students to develop the knowledge and skills to help address the challenges for contemporary integrated healthcare delivery through research and innovative ways of working.

PROGRAMME LEARNING OUTCOMES

Knowledge and understanding
-Evaluate and critically explore complex problems in order to apply relevant knowledge and skills to develop solution focussed approaches
-Critically analyse and demonstrate an ability to interpret research evidence and data in order to communicate health care information into the practice setting effectively
-Demonstrate and apply deep knowledge and understanding relevant to their area of practice

Intellectual / cognitive skills
-Critically evaluate, challenge and apply relevant health policy to their own area of practice
-Demonstrate consideration of relevant ethical principles
-Apply contemporary thinking and analytical skills when analysing the existing evidence base
-Critically evaluate research and methodological approaches taken within the existing evidence available
-Defend originality in their own research work to complement the existing evidence base

Professional practical skills
-Demonstrate the utilisation of innovative approaches to health care within their own area of practice to engender a progressive culture
-Utilise a range of analytical and influencing skills including emotional intelligence, to demonstrate effective leadership
-Effectively address complex and challenging issues to make sound, informed and appropriate judgements in their practice

Key / transferable skills
-Synthesise information effectively to inform health care practices
-Demonstrate and utilise critical awareness to improve health care
-Initiate change and development in their current practice, engaging in the inter-professional arena to facilitate reflective learning in the wider health care team

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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This programme is suitable for those wishing to pursue a career in the industrial or service sector as a quality professional. Read more
This programme is suitable for those wishing to pursue a career in the industrial or service sector as a quality professional.

About the programme

Exploring the application of specialised managerial and technological skills to achieve the desired quality at a minimum cost, this programme also addresses strategic quality and leadership issues focussed on achieving customer satisfaction. You will learn about the complexities and inter-relationships which exist in implementing cost effective quality management solutions to the ISO9000 series of standards and to the excellence models.

Practical experience

Opportunities exist to conduct a project within industry or with one of our European partner institutions.

Your learning

Full-time Diploma and MSc students undertake five core and two option modules over two trimesters. MSc students must also complete a significant industrial or university based dissertation over the summer.

Core modules include:
• Managing Quality
• Statistical Quality Control
• Risk Management
• Interpersonal Skills and Change Management
• Operations and Project Management

Option modules include:
• Service Quality
• Research Design and Methods
• Logistical Resources
• Reliability and Experimental Design for Industry (EDI)

MSc

Upon successful completion of the taught modules listed above you will undertake the MSc research project.
Postgraduate Certificate students who transfer to the MSc Quality Management (International) (see page 165) can study for the dual
award with the University of Angers.Upon its successful completion students are awarded MSc Quality Management (International) from UWS and Master Degree Ingénierie des Systèmes et Management de Project (Systems and Project Management) from University of Angers, France.

Our Careers Adviser says

Strong industry links ensure employment and placement opportunities are available for all graduates. Recent graduates work for Toyota Europe (Brussels), Amec, Raytheon, Howden and Honeywell.

Professional recognition

Students can join the Chartered Quality Institute as associate members.

Financial support

In session 2015/16 the Postgraduate Diploma element of this programme carried SAAS postgraduate loan funding for eligible students. Check http://www.saas.gov.uk for 2016/17 loan info.

First-class facilities

Get the hands on experience you need to succeed. We have excellent specialist facilities which support our research students and staff. These include an advanced chemical analysis lab: with state-of-theart chemical analysis for isotopic and elemental analysis at trace concentrations using ICPMS/OES and the identification of organic compounds using LCMS; and the Spatial and Pattern Analysis (SPAR) lab: providing high specification workstations, geographical information system (GIS) software, geochemical and image processing facilities to support data management in science research.

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