This course introduces students to the investigation of explosive and CBRN crime scenes. It considers both pre and post blast scenes, and associated scenes. The MSc also develops the student's ability to apply Forensic Intelligence and exploitation techniques, and blend it with Open Source Intelligence.
The course offers students a wide range of different experiences with unique facilities available to no other university in the UK.
Places on the MSc Forensic Explosive and Explosion Investigation are competitive. Students come from a wide range of backgrounds, usually with a science or forensic science first degree. Many students come from abroad, especially Europe, Africa and North America.
The MSc Forensic Explosive and Explosion Investigation course is part of the MSc Forensic Programme which has been formally accredited by The Chartered Society of Forensic Sciences.
This course is designed to give a broad introduction to the subject, rapidly advancing into the understanding of cutting-edge research and the latest methodologies. The course is highly practical and hands-on, aiming to produce forensic experts capable of giving expert witness testimonies in a courtroom situation and elsewhere.
The course consists of a one-week period of introductory studies followed by academic instruction in modular form. Most modules are of five days duration, interspersed with weeks devoted to private study. Students are required to take eight core modules and choose three elective modules based on their particular background, future requirements or interests. This is followed by a four-month research project and either a thesis or literature review and paper.
Multiple strong relationships with forensic service and equipment providers such as Thermo Fisher Scientific, Smiths Detection, Bruker, KeTech and others.
The Forensic Modular Masters Programme at Cranfield Forensic Institute is accredited by The Chartered Society of Forensic Sciences.
Students are required to take eight core modules and choose three elective modules based on their particular background, future requirements or interests. This is followed by a four-month research project or thesis.
The individual project takes four months from April to July. The student selects from a range of titles, or may propose their own topic. Most are practically or experimentally based using Cranfield’s unique facilities.
By written and practical examinations, continuous assessment, project presentation and viva voce
Supports professional development for those in security and defence occupations related to explosives, intelligence or search. Excellent grounding for career starters looking to join government scientific services, forensic laboratories, police departments and insurance companies.
If you would like to request a visit to Cranfield Defence & Security where you will be able to meet one or more members of the course team and see some of the facilities, please let me know and we will arrange for a member of the course team to contact you to make arrangements - Professor Andrew Shortland - Head of Centre for Cranfield Forensic Institute [email protected]
The Master of Safety Engineering will prepare you to improve and realise safety in many different areas. The programme trains you in prevention policy and safety management systems, the safety of products, processes, and installations, qualitative risk analysis techniques, and fire and explosion safety. You’ll obtain detailed knowledge of technical and managerial process safety concepts with regard to the whole life cycle of a production plant, and risk evaluations based on qualitative and quantitative methods.
The Master of Safety Engineering comprises a total of 60 credits. The programme consists of a group of common compulsory courses (23 credits) that are taken up by every student. This party contains courses with themes that are of interest to every safety professional, irrespective of the specialisation option. All courses in this part are taught in English. This relatively large core part ensures that every student is given the same broad basic education about the specialised field of safety.
After a general introduction to safety engineering, prevention policy and safety management systems are treated. Safety of products, processes and installations are discussed next and qualitative risk analysis techniques, fire and explosion safety complete this section.
Furthermore, students choose between one of two available options (22 credits each): Option Process Safety or Option Prevention. In turn, each option contains a number of compulsory courses (16 credits) and elective courses (6 credits).
The Option Prevention focuses on occupational safety and health-related issues. The compulsory courses in this option also discuss non-technical aspects concerning safety. This option is mainly of interest to candidates who want to obtain the Certificaat Preventieadviseur Niveau 1.
The Option Process Safety provides students with a detailed knowledge of technical and managerial process safety concepts with regard to the whole life cycle of a production plant from concept to design, construction and operation to decommissioning. Safety concepts of representative operational units are presented in a series of case studies. Examples of required safety oriented competences in industrial operations are also discussed. It is shown how risk evaluations and estimates based on qualitative and quantitative methods are performed.
Each student also needs to choose elective courses either from a short indicative list, or from any Master’s programme within the Group of Science, Engineering and Technology.
Finally, students have to complete a Master’s thesis of 15 credits, which represents an effort that is consistent with a programme of 60 credits in total.
The programme can be completed normally in one-year on a full-time basis. However, to facilitate the participation of working professionals, it can also be followed on a two year part-time basis.
After finishing this advanced Master's programme, the student should:
To carry out the programme's objectives, teaching activities consist of a combination of classroom lectures, practically oriented seminars and site visits. The instructors themselves come from the academic world both inside and outside K.U.Leuven, or have been recruited from reputable industrial companies because of their long-standing expertise and willingness to contribute to teaching and training.
In many countries, there is a permanent and growing need for scientists and engineers who are knowledgeable and trained at the academic level in the field of safety engineering and safety management. This is due to the increasing complexity of industrial production processes and the growing number of rules and regulations both in Europe and internationally.
Graduates of the Master of Science in Safety Engineering programme find employment in small national and large multinational industrial companies at home and abroad or are employed in private and/or governmental organisations. Such organisations need experts with the ability to conduct research, carry out analyses, and perform inspections, monitoring and certification in the broad field of safety.
Moreover, in some countries (including Belgium), companies beyond a certain size dealing with specific risks are required by law to hire or even employ a certified prevention advisor. This certification can be acquired through the Prevention option of the Master of Science in Safety Engineering (Certificaat Preventieadviseur Niveau 1).
It is also possible for graduates to begin a career as an independent consultant with expertise in safety and environmental areas.
This unique course offers critically-engaging themes and technologies, providing skills in immersive storytelling to reflect rapid changes in the games industry.
Whether you are looking to build retail or museum installations or you want to use games to tell cinematic stories, this program explores how to craft deeply compelling, critical games and interactive work both for clients and creative practice.
The MA in Independent Games and Playable Experience Design focuses on developing aesthetic awareness, creating compelling mechanics and the ability to craft innovative narratives in games and immersive experiences. Students will be given the skills needed to run a small business and produce quality design on a highly professional level.
Visiting guest lecturers, researchers and artists from around the world will stimulate your critical thinking while inspiring your creativity. Skills based workshops in the latest fabrication and production methodologies will empower you to build stunning installations.
This program will provide access to education and skills new creators will need to be successful in the marketplace.
Why this course?
As technologies have integrated into our everyday lives, elements from games have been woven into everything from the way museums educate the public to how scientists do cancer research. With the rise of mobile, console creators no longer hold a monopoly on gaming platforms. This new found freedom has resulted in an explosion of independent games creating new genres of play. From putting players in immersive augmented worlds to telling transformational personal narratives, these new experiences are redefining the rules of play. Games are now just part of everyday life. As a result, markets that were dominated by traditional media have begun to leverage the ability of games to tell stories, share the news, generate knowledge and educate the public. An explosion of games and apps has created a new breed of entrepreneur which uses small teams to create projects that are accessible to millions. This rising market has become a driving economic reality within the UK.
You will study the following modules:
Additionally, a selection of optional modules to the value of 15 and 30 credits will be provided from an annual list for each term and will be made available by the department.
The current list of optional proposed modules for 2017-2018 is:
Please note that due to staff research commitments not all of these modules may be available every year.
This course looks at the creation, management, curation and repurposing of digital media and digital assets.
As the digital aspects of content industries, the cultural heritage sector and the private sector are reaching maturity, career opportunities have mushroomed worldwide for professionals, who are familiar with digital media and have the skills to manage digital content throughout its lifecycle.
Our Digital Asset & Media Management MA takes a comparative and interdisciplinary approach, allowing you to explore and critically assess competing theories and practices from across new media digital management, archival, and information science. This will provide you with a well-rounded understanding of the requirements across many domains. In recent years there has been an explosion in the volume, complexity and range of digital content in a variety of media. This has been called the big data revolution and is closely connected to the increasing interest in the digital economy as an engine of growth.
There are very few institutions of any size that do not create and depend on the management, reuse and curation of digital media and information. Government, the public sector, Higher Education, cultural and creative industries and business all make and use these assets every day. This makes the skills we will give you increasingly attractive to employers. As well as developing the practical skills you need to manage digital media assets, you will also develop your critical and reflective capacities and increase your understanding of the interdependence between digital processes, technology, society and curatorial practice. This will enable you to enter into a technologically complex and fast-moving digital world of work.
Reasons you should consider the Digital Asset and Media Management:
The course will prepare students for work or research in an economy and society which increasingly recognises the value of digital media and digital assets in general. Managing these and understanding how to exploit them within a complex digital information environment presents significant challenges for organisations. As a consequence there is an increasing demand for professionals with digital asset and media management expertise. The MA responds to this demand for digitally literate professionals to work in the educational and heritage institutions as well as the publishing, broadcast, and creative content industries. The course aims to equip students with a range of strategic, technical and practical skills to provide direction and leadership in these areas.
If you are a full-time student, we will provide you with 120 to 180 hours of teaching through lectures and seminars, and we will expect you to undertake 1,674 hours of independent study.
If you are a part-time student, we will give you 90 hours of teaching through lectures and seminars in your first year and 50 in your second year. We will expect you to undertake 720 hours of independent study in your first year, and 954 hours in your second.
We will assess our modules entirely through coursework, which will consist of a mixture of essays, project work, and workshop reports, depending on the modules you choose.
The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they may change if the course modules change.
Over the last two decades there has been an explosion of interest in brain science across academia, industry and the media. The integration of cognitive brain imaging with neuroscience will play a central part in discovering how the brain functions in health and disease in the 21st century, as illustrated by the Human Brain Project in Europe and The Brain Initiative in the USA. The taught Brain Sciences degree will help you gain interdisciplinary knowledge “from molecules to mind” and enable you to develop research skills in cognitive brain imaging, fundamental neuroscience and brain disorders.
The programme will consist of compulsory taught courses, selected optional courses and a research project spread over 11-12 months.
Taught courses are delivered by lectures, tutorials, problem-based learning and computer-based sessions supplemented by a wide range of electronic resources for independent or group study. You will use the primary scientific literature as an information resource and through project work will develop skills in team-working, experimental design and data interpretation. Through assessment of coursework you will gain skills in oral and written communication.
The University of Glasgow MSc in Brain Sciences provides you with many career opportunities.
Research: MSc students can enter a research career, mainly by undertaking further postgraduate research studies towards a PhD, or by working in research laboratories in academic settings.
Industry: Other options include going on to work in a wide range of commercial sectors including the pharmaceutical or biotechnological industries and scientific publishing.
The digital age has intensified the need to study performance. Performance is no longer confined to a segregated place and time – the theatre – but is, literally, everywhere. The last three decades have seen an explosion of hybrid forms of performance worldwide: cross-cultural theatre, documentary and socially engaged performance, live art, one-on-one performance, immersive and site-specific theatre, traditional and contemporary adaptations of classics.
Located in a vibrant research environment in one of the best-equipped Drama Departments in the UK, our MA in Theatre Practice nurtures practitioners and scholars of the future. The diverse and flexible programme taught by internationally renowned scholars-practitioners allows you to research, construct and deliver highly articulate ideas. Our rigorous teaching encourages collaboration across genres, disciplines and cultures. It is rooted in physical training, environmental, scenographic, object and site exploration, ensemble work, creative and critical writing, and expert supervision of artistically challenging ideas and projects.
During a one year course you will:
Please note constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development.
Details at any time may be obtained from the programme website.
Some examples of the modules are;
Assessment is via a combination of seminar presentations, essays, continuous assessment, presentations of practice (only for practice options) and a written research project and dissertation.
If you are a graduate seeking to enhance your prospects in wastes management or change your career direction, then you should consider this Master’s programme. It has been specifically designed to meet the needs and demands of the modern wastes management industry.
The School of Science and Technology at the University of Northampton is a Centre for Excellence in Wastes Management and our MSc course is accredited by the Chartered Institution of Waste Management.
If you do not meet our standard entry requirements, it is possible to undertake a single module and, upon successful completion of this module, progress to the full MSc qualification, contact us at [email protected] to discuss this option.
The programme is divided into three stages. To complete the Master’s level qualification you must complete six modules and an independent research thesis to a total of 180 credits. During the course, you complete three compulsory modules and choose three optional modules in stages one and two. Optional modules are subject to staff availability and student interest. Each 20 unit module will be equivalent to 200 hours of study and the module guide, which you will have access to during your studies, has details on how these are allocated. The Research Thesis is worth 60 credits and is therefore equivalent to 600 hours of study.
The research thesis (dissertation) is the final compulsory module in stage three. This ensures that you study the same broad themes within wastes management, but are also able to tailor the focus and level of the qualification to suit your individual needs, experience, interests and career aspirations.
You can also take certain modules as a ‘one off’, either as a taster before deciding whether to study the course in full, or as an opportunity to update your skills in a particular area.
As a CIWM Accredited Course, students studying wastes management are entitled to 12 months free student membership of the CIWM.
Benefits of membership include:
-Free copy of CIWM Journal delivered on your doorstep each month.
-Free weekly email news service, News Online, delivered to your Inbox.
-Discounted rates on annual conference, training courses and seminars.
-Networking opportunities through CIWM Regional Centres.
-Access to CIWM NGG (New Generation Group) events.
-Free technical advice and use of CIWM Library Services.
-Professional and career development.
The growing worldwide awareness and significance of environmental management, wastes minimisation and pollution control, coupled with recent legislative changes in many countries have resulted in an explosion of exciting job opportunities in the wastes industry. Consequently, there is now a strong demand for wastes management graduates. There are opportunities in industry, local and national authorities, as well as within the specialist wastes management industry. Students from this course have also gone on to MPhil and PhD studies at the University of Northampton.
You will be assessed through coursework, oral presentations, group work, practical reports, critical reviews and a substantial independent research thesis. You can expect two or three items of assessment per 20 credit module. Assignments are submitted electronically via NILE unless otherwise instructed, these are then marked, with the feedback and grades made available through NILE.
The Data Science Program will prepare you to design and build data-driven systems for decision-making in the private or public sector.
The digital revolution brings with it an explosion of data that carries significant potential value for businesses, science, and society.
As data becomes easily available as never before, so too does its volume grow, and extracting useful quantitative insights becomes more and more challenging.
The curriculum will guide students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.
Data Science students will be armed with a solid knowledge of statistical and machine learning methods, optimization and computing, and the ability to spot, assess, and seize the opportunity of data-driven value creation.
Students will learn how to apply classroom examples using real data and answering concrete business questions from the perspectives of different industries. Through an independent master's project and the opportunity for industrial practicum work conducted with local businesses, students can have the opportunity to solve actual analytics problems hands-on.
Our courses are taught by leading academics and researchers in the fields of Economics, Operations, and Statistics, as well as experienced professionals from the analytics industry.The program also invites guest speakers and entrepreneurs working at the frontiers of the Data Science.
Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona (UAB) and Universitat Pompeu Fabra (UPF). The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by the Master Director.
Examples of recent professional placements:
Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance.
Business Analytics (with specialisation in Management Science) is taught by UCL School of Management (in conjunction with UCL Computer Science). It combines modules that explore how data and analytics are transforming key areas of business (decision-making, strategy, marketing, operations) with modules that provide the mathematical and computational skills needed to make effective use of the latest business analytics tools.
Students undertake modules to the value of 180 credits.
The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).
Students take two optional modules from a selection of elective modules offered by the UCL School of Management and other selected UCL departments. Possible electives, subject to agreement, may cover topics including software engineering, consulting psychology, project management and network analysis.
All students undertake an independent research project which culminates in a dissertation of 12,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and project work. Assessment is through unseen written examinations, coursework and the dissertation.
Further information on modules and degree structure is available on the department website: Business Analytics (with specialisation in Management Science) MSc
Graduates from this new programme will be likely to find employment in global companies and high-growth businesses, finance and banking organisations, and consulting firms.
Students will develop strong quantitative and analytical skills, an in-depth understanding of how companies use data to make decisions and improve business performance, and practical experience with leading business analytics tools.
They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset.
The world is changing: more than 30 billion pieces of content are shared on Facebook every month; and companies are capturing trillions of bytes of information about their customers, suppliers, and operations. This explosion of data is disrupting industries and creating new opportunities. Companies need people who can take data, understand it, process it, extract value from it, visualise it, and communicate it. They need people who deeply understand data, its potential and its limitations, who can frame business problems, analyse data with statistical techniques, develop and maintain predictive models, and communicate analytics results to business executives, partners and customers.
Business Analytics requires a combination of management insight, strong quantitative and analytical skills, and an understanding of the technology required to handle data at scale.
UCL School of Management offers innovative undergraduate, postgraduate, and doctoral programmes to prepare people for leadership roles in the next generation of innovation-intensive organisations. The school works closely with global companies and high-growth businesses at the cutting-edge of management practice. UCL Computer Science is a global leader in research in experimental computer science.
Students on the Business Analytics (with specialisation in Management Science) MSc will benefit from the extensive industry networks of both departments.
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.
The following REF score was awarded to the department: UCL School of Management
70% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
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:
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.
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 Data Science and Business.
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:
Exploiting this vast amount of data requires the following:
Therefore the program has three objectives:
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.
The key aim of the teaching in this Joint Degree is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives), to use the appropriate mathematical and IT tools to answer these questions.
Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.
All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.