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Add expertise to your talent and ideas and learn in the company of industry experts on this innovative, inspiring course for aspiring writers. Read more
Add expertise to your talent and ideas and learn in the company of industry experts on this innovative, inspiring course for aspiring writers.

If you want to make a career in writing, this course is for you. You already have talent and ideas, we’ll add the expertise you need to approach your chosen market with confidence, originality and skill. No ambitions are out of bounds: we love commercial genre fiction and literary experiments equally.

We aim to ensure our graduates are equipped to succeed - and to change the culture they choose to enter.

See the website http://www.napier.ac.uk/en/Courses/MA-Creative-Writing-Postgraduate-FullTime

What you'll learn

We take an innovative approach to the training and support of aspiring writers, driven by intellectual ambition and practical industry experience. There are four strands to the programme:

• developing narrative technique
• practising vocational skills (including abridgement, adaptation and collaborative creation)
• experimental, theoretical and personal development work
• regular one-to-one editorial mentoring

Uniquely, the course offers a dynamic range of cross-disciplinary options. Writing for graphic fiction, screenwriting, interactive media and creative non-fiction are all offered as specialisms, while our pioneering module in genre fiction covers crime, horror, fantasy and science fiction with YA options in each.

We host an exciting programme of lectures and master classes from award-winning authors and high-profile industry experts. In addition, an internationally recognised author joins us for 12 months as Writer in Residence, to develop new work alongside students, share experience and offer one-to-one consultations.

Our approach to full-length narrative development trains you to deploy a range of unique and dynamic pre-writing techniques invented by our programme. This energetic combination of conceptual development and critical self-reflection will transform you into a technically adept, purposeful writer ready to make your mark.

The course is taught by industry professionals Sam Kelly, a former literary agent and David Bishop, a successful working writer and former editor. In addition to campus facilities, our students have access to the Writers’ Room, a private workspace with Wi-Fi, available evenings and weekends. It houses an exclusive library of 2,000 hand-picked books, DVDs and graphic novels and is the venue for reading groups and social events.

The MA is piloting a Teaching Internship Scheme, offering selected graduates the opportunity to develop their teaching practice with the course for a further year.

Modules

• Creating Narrative – Writer’s Toolkit
• Innovation and Authorship
• Creative and Editorial Development
• Writing Practice – First Person Narrative
• Writing Graphic Fiction
• Writing Genre Fiction
• Creative Non-Fiction
• Interactive Media
• Major Project

Study modules mentioned above are indicative only. Some changes may occur between now and the time that you study.

Careers

Among our graduates’ achievements are:

• book deals
• representation by literary agents
• international and national competition wins
• publication in magazines and anthologies
• Edinburgh International Book Festival appearances
• paid editing and writing commissions
• performances and teaching
• working for national literary organisations

How to apply

http://www.napier.ac.uk/study-with-us/postgraduate/how-to-apply

SAAS Funding

Nothing should get in the way of furthering your education. Student Awards Agency Scotland (SAAS) awards funding for postgraduate courses, and could provide the help you need to continue your studies. Find out more: http://www.napier.ac.uk/study-with-us/postgraduate/fees-and-funding/saas-funded-courses

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Our Professional Doctorate in Clinical Research (DClinRes) has been designed to meet the challenge of providing high quality clinical research training for Allied Health Professionals (AHPs), including those in leadership roles. Read more
Our Professional Doctorate in Clinical Research (DClinRes) has been designed to meet the challenge of providing high quality clinical research training for Allied Health Professionals (AHPs), including those in leadership roles. It is a unique collaboration between Clinical Education Development and Research ( CEDAR, http://cedar.exeter.ac.uk/programmes/), Psychology and the University of Exeter Medical School.

Delivered by leading academics and practitioners, the programme aims to educate Allied Health Professionals to shift the major focus of their research activities from a tradition characterised by work which is predominantly descriptive, cross-sectional and introspective, to one which is translational, experimental, longitudinal, generalisable and implementation focussed.

The programme includes advanced training in clinical research leadership skills and organisational practice, and is underpinned by the Medical Research Council’s mixed methods Complex Interventions Research Framework. The Doctorate offers participants the opportunity to complete a Service Related Research Project linked to their area of practice allowing them to evaluate their local clinical service. In addition, participants undertake a Major Clinical Research Project related to their area of practice and aligned with the strategic aims within their local service and organisation.

The programme is based on the latest guidance for research which investigates how to develop and determine the components, efficacy, effectiveness, applicability and translational utility of complex healthcare interventions for complex interventions in medicine. It integrates investigative methods for complex interventions through a mixed methodological process of development, feasibility/piloting, evaluation and implementation.

Responding to a challenge

Our Doctorate in Clinical Research has been developed in response to a need, identified by training commissioners and professional organisations, for specific skills training within this area of the healthcare workforce.

Allied Health Professionals (AHPs) such as nurses, physiotherapists, psychologists, radiographers and occupational therapists have a critical role to play in meeting health and social care challenges at the fore of global health concerns.
These include an
• aging population,
• chronic diseases,
• and new endemics

AHPs engage in an ever widening range of activities, many of which are highly complex and take place in multiple care environments including acute medicine, chronic care facilities, community and residential care homes. Example activities include patient education programmes, the coordination and delivery of packages of psychosocial care, and support for patient self-care.

Changes in healthcare organisation internationally (e.g. short hospital periods and growing responsibility for patient self-care) are placing more healthcare in the hands of AHPs, increasing the scope and the overall need for an underpinning evidence base.

The relevance of a Complex Interventions Research Framework

The care provided by AHPs to patients is an increasingly complicated activity and can be seen as the quintessential ‘complex intervention’ – defined as an activity that contains a number of component parts with the potential for interactions between them which, when applied to the intended target population, produces a range of possible and variable outcomes (Medical Research Council, 2008).

Complex interventions are widespread throughout all of health and social care, from the apparently simple example of pharmacological treatment with its combination of biochemical, social and psychological factors influencing patient concordance and physiological response, to more obviously complex educational or psychological interventions where a multi-layered set of dynamic features have great bearing on ultimate effectiveness.

Our programmes are underpinned by the Medical Research Council’s mixed methods Complex Interventions Research Framework, which emphasises our commitment to applied research in a healthcare context.

Programme structure

Our Doctorate in Clinical Research is run part-time over four years. The taught component of the programme has been re-structured to better enable both national and international attendance. The course commences with a 5 day block of teaching in February, with the remaining pre-thesis teaching components taking place over the next 18 months in smaller block delivery. Please see the website for up to date information at http://cedar.exeter.ac.uk/programmes/dclinres/structure/.

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Master in BIG DATA. Read more
Master in BIG DATA : Data Analytics, Data Science, Data Architecture”, accredited by the French Ministry of Higher Education and Research, draws on the recognized excellence of our engineering school in business intelligence and has grown from the specializations in Decision Support, Business Intelligence and Business Analytics. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of Business Analytics.

This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and research.

Objectives

Business Intelligence and now Business Analytics have become key elements of all companies.

The objective of this Master is to train specialists in information systems and decision support, holding a large range of mathematic- and computer-based tools which would allow them to deal with real problems, analyzing their complexity and bringing efficient algorithmic and architectural solutions. Big Data is going to be the Next Big Thing over the coming 10 years.

The targeted applications concern optimization in the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI systems architecture. These applications have a role in most business domains: logistics, production, finance, marketing, client relation management.

The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand of training in these areas.

Distinctive points of this course

• The triple skill-set with architecture (BI), data mining and business resource optimization.
• This master will be run by a multidisciplinary group: statistics, data mining, operational research, architecture.
• The undertaking of interdisciplinary projects.
• The methods and techniques taught in this program come from cutting-edge domains in industry and research, such as: opinion mining, social networks and big data, optimization, resource allocation and BI systems architecture.
• The Master is closely backed up by research: several students are completing their end-of-studies project on themes from the [email protected] laboratory, followed and supported by members from the laboratory (PhD students and researcher teachers).
• The training on the tools used in industry dedicated to data mining, operational research and Business Intelligence gives the students a plus in their employability after completion.
• Industrial partnerships with companies very involved in Big Data have been developed:
• SAS via the academic program and a ‘chaire d’entreprise’ (business chair), allowing our students access to Business Intelligence modules such as Enterprise Miner (data mining) and SAS-OR (in operational research).

Practical information

The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1252 hours (611 hours in M1 and 641 hours in M2). The semesters are divided as follows:
• M1 courses take place from September until June and count for a total of 60 ECTS
• M2 courses take place from September until mid-April and count for a total of 42ECTS
• A five-month internship (in France) from mid- April until mid- September for 9 ECTS is required and a Master thesis for 9 ECTS.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

[[Organization ]]
M1 modules are taught from September to June (60 ECTS, 611 h)
• Data exploration
• Inferential Statistics (3 ECTS, 30h, 1 S*)
• Data Analysis (2 ECTS, 2h, 1 S)
• Mathematics for Computer science
• Partial Differential Equations and Finite Differences (3 ECTS, 30h, 1 S)
• Operational Research: Linear Optimization (2 ECTS, 20h, 1 S)
• Combinatory Optimization (2 ECTS, 18h, 1 S)
• Complexity theory (1 ECTS, 9h, 1 S)
• Simulation and Stochastic Process (3 ECTS, 30h, 2 S**)
• Introduction to Predictive Modelling (2ECTS, 21h, 2 S)
• Deterministic and Stochastic Optimization (3 ECTS, 30h, 2 S)
• Introduction to Data Mining (2 ECTS, 21h, 2 S)
• Software and Architecture
• Object-Oriented Modelling (OOM) with UML (3 ECTS, 30h, 1 S)
• Object-Oriented Design and Programming with Java (2 ECTS, 30h, 1 S)
• Relational Database: Modelling and Design (3ECTS, 30h, 1 S)
• PLSQL (2 ECTS, 21h, 2 S)
• Architecture and Network Programming (3 ECTS, 30h, 2 S)
• Parallel Programming (3 ECTS, 30h, 2 S)
• Engineering Science
• Signal and System (3 ECTS, 21 h, 1 S)
• Signal processing (3 ECTS, 30h, 1 S)

• Research Initiation
• Scientific Paper review (1 ECTS, 9h, 1 S)
• Final research project on BIG DATA (5 ECTS, 50h, 2 S)
• Project Management
• AGIL Methods & Transverse Project (2 ECTS, 21h, 2 S)
• Languages and workshops
• French and Foreign languages (6 ECTS, 61h, 1&2 S)
• Personal and Professional Project (1 ECTS, 15, 1 S)
*1 S= 1st semester, ** 2 S= 2nd semester

M2 Program: from September to September (60 ECTS, 641h)
M2 level is a collection of modules, giving in total 60 ECTS (42 ECTS for the modules taught from September to April, plus 9 ECTS for the internship and 9 ECTS for the Master thesis).

Computer technologies
• Web Services (3 ECTS, 24h, 1 S)
• NOSQL (2 ECTS, 20h, 1 S)
• Java EE (3 ECTS, 24, 1S)
Data exploration
• Semantic web and Ontology (2 ECTS, 20h, 1 S)
• Data mining: application (2 ECTS, 20h, 1S)
• Social Network Analysis (2ECTS, 18h, 1S)
• Collective intelligence: Web Mining and Multimedia indexation (2 ECTS, 20h, 2 S)
• Enterprise Miner SAS (2 ECTS, 20h, 2 S)
• Text Mining and natural language (2 ECTS, 20h, 2 S)
Operations Research
• Thorough operational research: modelling and business application (2 ECTS, 21h, 1 S)
• Game theory (1 ECTS, 10h, 1 S)
• Forecasting models (2 ECTS, 20h, 1 S)
• Constraint programming (2 ECTS, 20h, 2 S)
• Multi-objective and multi-criteria optimisation (2 ECTS, 20h, 2 S)
• SAS OR (2 ECTS, 20h, 2 S)
Research Initiation Initiative
• Scientific Paper review (1 ECTS, 10h, 1 S)
• Final research project on BIG DATA (2 ECTS, 39, 2 S)
BI Architecture
• BI Theory (2 ECTS, 20h, 2 S)
• BI Practice (2 ECTS, 20h, 2 S)
Languages and workshops (4 ECTS, 105h, 1&2 S)
• French as a Foreign language
• CV workshop
• Personal and Professional Project
Internship
• Internship (9 ECTS, 22 weeks minimum)
Thesis
• Master thesis (9 ECTS, 150h)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

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Master’s Degree in Quantitative Finance and Risk Management draws on the recognized excellence of our engineering school in quantitative finance, and makes great use of the collaborations with the Universities of Paris-Dauphine and Cergy-Pontoise. Read more
Master’s Degree in Quantitative Finance and Risk Management draws on the recognized excellence of our engineering school in quantitative finance, and makes great use of the collaborations with the Universities of Paris-Dauphine and Cergy-Pontoise. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of finance. This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and Research.

Objective

This Master’s degree covers the whole chain of quantitative finance, from theoretical aspects to the application in a professional setting. The chain can be described as follows:
o Description of the market and financial products
o Mathematical models of finance
o Mathematical models of risk
o Numerical resolution: computer-aided simulation
o Calibration and asset evaluation

Specific details of the Master:
o The Master came from the Financial Engineering option (IFI) taught at the ESITI for the last 13 years (all students from the option have found work as soon as their compulsory internships finished, and have an average salary 20% higher than the norm in this sector).
o In and of itself, the Master is intrinsically international.
o The theoretical teaching of this Master is very thorough, covering everything needed to know in the associated professions. As a consequence, the students are very adaptable within the work market.
o The Master offers a 3-skilled approach, in Computer Science, Mathematics and Finance.

Practical information
The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1316 hours (646 hours in M1 and 670 hours in M2). The semesters are divided as follows:
o M1 courses take place from September until June and count for a total of 60 ECTS
o M2 courses take place from September until mid-April and count for a total of 44 ECTS
o A five-month internship (in France) from mid- April until mid- September for 16 ECTS. Usual indemnities are around 1000 € per month.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

Organization

M1 modules are taught from September to June (60 ECTS, 646 h):
• Mathematics
• Measure and Integration (2 ECTS, 20 h)
• Functional Analysis (3 ECTS, 30 h)
• Stochastic Processes-Discrete/Continuous Time (5,5 ECTS, 55 h)
• Optimization (2,5 ECTS, 30 h)
• Jump Processes and Application (3 ECTS, 30h)
• Partial Differential Equations (3 ECTS, 30 h)
 Calibration, Simulation and Numerical Analysis
• Monte Carlo Simulations (3 ECTS, 30 h)
• Finite Difference Methods (2,5 ECTS, 25 h)
• Calibration of Financial Models (2 ECTS, 20 h)
• Bloomberg trading room (3ECTS, 30h)
• C++ and Object Oriented Design (2 ECTS, 20 h)
• VBA Programming (3 ECTS, 30 h)
• Interdisciplinary Project (5 ECTS, 5 h)
 Finance and Insurance
• Introduction to Quantitative Finance (3 ECTS, 25 h)
• Risk Management in a mono-period Financial Market & Derivatives (4 ECTS, 40 h)
• Contingent Claims Valuation (3 ECTS, 30 h)
• Portfolio Management and Financial Risks (3 ECTS, 30 h)
• Mathematics Applied to Insurance (3 ECTS, 30 h)
• French as Foreign Language
• French as Foreign Language (4,5 ECTS, 96 h)

M1 modules are taught from September to June (60 ECTS, 646 h):
• Mathematics
• Measure and Integration (2 ECTS, 20 h)
• Functional Analysis (3 ECTS, 30 h)
• Stochastic Processes-Discrete/Continuous Time (5,5 ECTS, 55 h)
• Optimization (2,5 ECTS, 30 h)
• Jump Processes and Application (3 ECTS, 30h)
• Partial Differential Equations (3 ECTS, 30 h)
• Calibration, Simulation and Numerical Analysis
• Monte Carlo Simulations (3 ECTS, 30 h)
• Finite Difference Methods (2,5 ECTS, 25 h)
• Calibration of Financial Models (2 ECTS, 20 h)
• Bloomberg trading room (3ECTS, 30h)
• C++ and Object Oriented Design (2 ECTS, 20 h)
• VBA Programming (3 ECTS, 30 h)
• Interdisciplinary Project (5 ECTS, 5 h)
• Finance and Insurance
• Introduction to Quantitative Finance (3 ECTS, 25 h)
• Risk Management in a mono-period Financial Market & Derivatives (4 ECTS, 40 h)
• Contingent Claims Valuation (3 ECTS, 30 h)
• Portfolio Management and Financial Risks (3 ECTS, 30 h)
• Mathematics Applied to Insurance (3 ECTS, 30 h)
• French as Foreign Language
• French as Foreign Language (4,5 ECTS, 96 h)

M2 modules take place from September to Mid-April (60 ECTS, 670h)
• Mathematics
• Mathematical Statistics (2 ECTS, 21 h)
• Mathematical Tools in Finance (4,5 ECTS, 54h)
• Calibration, Simulation and Numerical Analysis
• Advanced Numerical Methods for PDEs in Finance(2,5 ECTS, 30 h)
• Advanced Spreadsheet Programming (2 ECTS, 24h)
• Simulations (2 ECTS, 24 h)
• Calibration (3 ECTS, 30 h)
• Theoretical and Practical Finance
• Theory of Contingent Claims (4,5 ECTS, 54 h)
• Interest Rate, Exchange and Inflation Markets (2,5 ECTS, 30 h)
• Portfolio Managment (2,5 ECTS, 30 h)
• Imperfect Markets (2 ECTS, 20 h)
• Dynamic Hedging and Risk Measures (2 ECTS, 21 h)
• Business Evaluation (2,5 ECTS, 35 h)
• Jump Processes and Applications (2 ECTS, 21 h)
• Careers and financial products (2 ECTS, 30 h)
• Practical Fixed Income Management (2 ECTS, 24 h)
• French as Foreign Language
• French as Foreign Language (4 ECTS, 72 h)
• Master's Thesis (9 ECTS, 150 h)
• Internship (22 weeks from mid-April to)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

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A survey by the Scottish biodiversity forum demonstrates that visitors to the Scottish uplands particularly value heather moorland, red deer and mountain landscapes. Read more
A survey by the Scottish biodiversity forum demonstrates that visitors to the Scottish uplands particularly value heather moorland, red deer and mountain landscapes. The red deer range covers most of the Scottish uplands but is also increasingly visited by hill-walkers who are attracted to the open landscapes and high mountains, such as the Munros and Corbetts, especially since the right of responsible access came into effect in Scotland in 2005. As well as being a tourist attraction, the same landscape is also used for activities including deer stalking, which not only generates income and rural jobs but also plays a vital role in controlling deer populations. Whilst both of these activities are legitimate, visitors have the potential to disturb deer which are known to move away and avoid areas of human activity such as footpaths and tracks. This will alter their spatial distribution and habitat use, impacting on their access to preferred areas that provide shelter and/or forage. Such disturbance can cause conflicts with deer management objectives affecting the ability to carry out activities such as recreational hunting and deer control if it changes the distribution of deer among neighbouring estates. Thus, there is a need to understand the interaction between recreational users (such as hill walkers), red deer movement and the relationship with changing sheep stocking rates.

We seek to recruit an excellent student to study for a 12 month Master’s by Research Degree. The successful student will work in a remote Scottish field site, piloting methods to study the movements of hikers and the distributions of both deer and domestic stock. They will benefit from supervision by three experienced and relevant scientists with complementary interests in the study system.

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