• Swansea University Featured Masters Courses
  • University of York Featured Masters Courses
  • Regent’s University London Featured Masters Courses
  • Imperial College London Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
De Montfort University Featured Masters Courses
University of Kent Featured Masters Courses
University of Southampton Featured Masters Courses
University of Birmingham Featured Masters Courses
University of Birmingham Featured Masters Courses
"retrieval"×
0 miles

Masters Degrees (Retrieval)

  • "retrieval" ×
  • clear all
Showing 1 to 15 of 162
Order by 
Aeromedical evacuation is the emergency transport of patients by fixed-wing aircraft and helicopters. This course is designed particularly for doctors, nurses and paramedics involved in the emergency transport of patients by fixed-wing aircraft and helicopters. Read more

What is aeromedical evacuation?

Aeromedical evacuation is the emergency transport of patients by fixed-wing aircraft and helicopters

Who is this course for?

This course is designed particularly for doctors, nurses and paramedics involved in the emergency transport of patients by fixed-wing aircraft and helicopters. It provides you with the knowledge and skills to manage aeromedical retrieval in domestic and international situations.

Course learning outcomes

Graduates of the Graduate Certificate of Aeromedical Retrieval will be able to:
*Integrate and apply specialist knowledge in the discipline of aeromedical retrievals within the depth of Australian and International health care, specific to the prehospital and secondary retrieval environment
*Review, analyse, consolidate and process information, data and evidence to undertake clinical assessment, management and evaluation of the person requiring aeromedical retrieval
*Communicate theoretical propositions, methodologies, conclusions and professional decisions through advanced literacy and numeracy skills to specialist and non-specialist audiences
*Demonstrate responsibility and accountability for continuing professional development requirements based on reflection on current skills, knowledge and attitudes and their application to the specialty of aeromedical retrieval.

Award title

GRADUATE CERTIFICATE OF AEROMEDICAL RETRIEVAL (GCertAeromedRet)

This course is available to International students via external or distance study only.

Entry requirements (Additional)

English band level 2 - the minimum English Language test scores you need are:
*Academic IELTS – 6.5 (no component lower than 6.0), OR
*TOEFL – 570 (plus minimum Test of Written English score of 4.5), OR
*TOEFL (internet based) – 90 (minimum writing score of 21), OR
*Pearson (PTE Academic) - 64

If you meet the academic requirements for a course, but not the minimum English requirements, you will be given the opportunity to take an English program to improve your skills in addition to an offer to study a degree at JCU. The JCU degree offer will be conditional upon the student gaining a certain grade in their English program. This combination of courses is called a packaged offer.
JCU’s English language provider is Union Institute of Languages (UIL). UIL have teaching centres on both the Townsville and Cairns campuses.

Minimum English Language Proficiency Requirements

Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 2 – Schedule II of the JCU Admissions Policy.

Why JCU?

James Cook University provides several programs unique to Australia. We have:
*The Anton Breinl Centre for Public Health and Tropical Medicine, which is one of the leading tropical research facilities in the world
*teaching staff awarded the Australian Learning Teaching Councils’ National Citation for Outstanding Contribution to Student Learning
*brand new Mosquito Research Facility
*cutting-edge teaching laboratories.

Application deadlines

*1st February for commencement in semester one (February)
*1st July for commencement in semester two (mid-year/July)

Read less
This course is designed particularly for doctors, nurses and paramedics involved in the emergency transport of patients by fixed-wing aircraft and helicopters. Read more

Who is this course for?

This course is designed particularly for doctors, nurses and paramedics involved in the emergency transport of patients by fixed-wing aircraft and helicopters. It offers a range of electives to health professionals with a suitable undergraduate degree or recognised professional qualification in a relevant discipline.

Course learning outcomes

JCU graduates are committed to lifelong learning, intellectual development, and to the display of exemplary personal, professional and ethical standards. They have a sense of their place in the tropics and are charged with professional, community, and environmental responsibility. JCU graduates appreciate the need to embrace and be acquainted with the Aboriginal and Torres Strait Islander Peoples of Australia. They are committed to reconciliation, diversity and sustainability. They exhibit a willingness to lead and to contribute to the intellectual, environmental, cultural, economic and social challenges of regional, national, and international communities of the tropics.
Upon successful completion of the Master of Public Health, graduates will be able to:
*Devise appropriate strategies to detect, prevent and control communicable and non-communicable diseases ensuring safe and healthy environments for tropical, rural, remote and Indigenous communities
*Critically assess, analyse and communicate public health information relevant to tropical, rural, remote and Indigenous communities
*Communicate theoretical propositions, methodologies, conclusions and professional decisions through advanced literacy and numeracy skills to specialist and non-specialist audiences
*Critically reflect upon the socio-ecological nature of health promotion and its application in optimising the health and wellbeing of tropical, rural, remote and Indigenous communities
*Critically reflect upon and engage in professional public health practice based on ethical decision-making and an evidence based approach, including consideration of recent developments in the field
*Apply advanced human, project and organisational management skills within a public health and policy context to effect efficient and equitable gains in public health
*Apply knowledge of research principles and methods to plan and ethically execute a substantial research-based project, capstone experience and/or piece of scholarship.

Graduates with a MPH Health Promotion major will also be able to:
*Integrate and apply an advanced body of theoretical and technical knowledge in the discipline of public health, with depth in population health assessment and health promotion planning, implementation and evaluation.

Graduates with a MPH Biosecurity and Disaster Preparedness major will also be able to:
*Integrate and apply an advanced body of theoretical and technical knowledge in the discipline of public health, with depth in disaster health and humanitarian response

Graduates with an MPH Aeromedical Retrieval major will also be able to:
*Integrate and apply an advanced body of theoretical and technical knowledge in the discipline of public health, with depth in the epidemiology, history, physiological effects, and management of patients undergoing aeromedical retrieval in a range of aircraft and settings including the impact of ethical, cultural, legal and financial issues

Graduate with a MPH Communicable Diseases major will also be able to:
*Integrate and apply an advanced body of theoretical and technical knowledge in the discipline of public health, with depth in principles of communicable disease control.

Award title

MASTER OF PUBLIC HEALTH (MPH)

Entry requirements (Additional)

English band level 3a - the minimum English Language test scores you need are:
*IELTS – 7.0 (no component lower than 6.5), OR
*TOEFL – 577 (plus minimum Test of Written English score of 5.5), OR
*TOEFL (internet based) – 100 (minimum writing score of 23), OR
*Pearson (PTE Academic) - 72

If you meet the academic requirements for a course, but not the minimum English requirements, you will be given the opportunity to take an English program to improve your skills in addition to an offer to study a degree at JCU. The JCU degree offer will be conditional upon the student gaining a certain grade in their English program. This combination of courses is called a packaged offer.
JCU’s English language provider is Union Institute of Languages (UIL). UIL have teaching centres on both the Townsville and Cairns campuses.

Minimum English language proficiency requirements

Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 3a – Schedule II of the JCU Admissions Policy.

Why JCU?

James Cook University provides several programs unique to Australia. James Cook University has:
*The Anton Breinl Centre for Public Health and Tropical Medicine, which is one of the leading tropical research facilities in the world
*teaching staff awarded the Australian Learning Teaching Councils’ National Citation for Outstanding Contribution to Student Learning
*cutting-edge teaching laboratories and research facilities.

Application deadlines

*1st February for commencement in semester one (February)
*1st July for commencement in semester two (mid-year/July)

Read less
Are you a healthcare professional working in the pre-hospital arena, wishing to expand your knowledge, skills and clinical decision-making, within critical care? This unique pathway has been specifically developed to target the national need for specialist practice in pre-hospital critical care. Read more
Are you a healthcare professional working in the pre-hospital arena, wishing to expand your knowledge, skills and clinical decision-making, within critical care? This unique pathway has been specifically developed to target the national need for specialist practice in pre-hospital critical care. It includes the educational development of pre-hospital care providers in independent patient stabilisation and subsequent primary, delayed primary and secondary retrieval and transfer.

Key features

-Benefit from a programme which is highly practically orientated and outcome focused in both educational and assessment strategies. Our curriculum has been developed through an expert collaboration of Plymouth University healthcare professional academics in close association with Devon Air Ambulance Trust (DAAT) clinical specialists.
-Complete the full-time programme in a year or balance your commitments over three years with our part-time study option.
-Attend multiple unique workshops, practical skills sessions and simulation activities.
-Develop Critical Care Paramedic (CCP) knowledge and cutting edge skills such as video laryngoscopy and ultrasound skills.
-Engage in quality improvement, knowledge creation and dissemination of best practice through publication and presentation.
-Use of blended learning as a mode of delivery incorporating study blocks and distance learning technologies.
-Seize the opportunity to develop and apply advanced knowledge and skills to your area of clinical practice. Our teaching faculty includes consultants from a wide array of civilian and military acute care specialties (pre-hospital, emergency medicine, anaesthesia, intensive care) working alongside specialist critical care and air ambulance paramedics and expert educationalists.

Course details

You will study the principles and practice of advanced airway assessment and management, advanced breathing assessment and management, advanced circulation assessment and management, and advanced neurological assessment and management. Gain an intimate understanding of brain anatomy and physiology in relation to brain injury, advance your knowledge of pain management, and learn the principles and practices of delivering critical care to specialist patient groups.

To gain a postgraduate certificate, you’ll need to earn 60 credits - you’ll study three modules worth 20 credits each. To gain a postgraduate diploma, you’ll need to earn 120 credits. To be awarded the full masters degree, you’ll need to earn a total of 180 credits. You’ll study the same core modules as the postgraduate diploma, with the extra 60 credits coming from your research dissertation.

Core modules
-ADV715 Project Design for Research
-ADV702 Applying Evidence to Practice
-ADV733 Retrieval and Transfer of a Critical Care Patient Within Special Situations
-ADV716 Research Dissertation
-ADV729 Critical Care Management - Airway, Breathing and Circulation
-ADV732 Advanced Clinical Reasoning for the Critical Care Patient
-ADV730 Critical Care Management - Neurological, Environmental and Special Patient Groups
-ADV731 Pre-hospital Critical Care Passport Competencies 1
-ADV734 Pre-hospital Critical Care Passport Competencies 2

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

Read less
Strongly interdisciplinary in nature, the Institute for Language, Cognition and Communication (ILCC) is dedicated to both basic and applied research in the computational study of language, communication, and cognition, in both humans and machines. Read more

Research profile

Strongly interdisciplinary in nature, the Institute for Language, Cognition and Communication (ILCC) is dedicated to both basic and applied research in the computational study of language, communication, and cognition, in both humans and machines.

As technology focuses increasingly on language-based communication tools, research into the automation of language processing has become vital. ILCC offers you the broadest research scope in the UK, and a strong computational focus.

Our primary areas of research are:

natural language processing and computational linguistics
spoken language processing
dialogue and multimodal interaction
information extraction, retrieval, and presentation
computational theories of human cognition
educational and assistive technology
Much of our research is applied to software development, in areas as diverse as social media, assisted living, gaming and education.

You may find yourself working closely with other departments of the University, particularly the School of Philosophy, Psychology & Language Sciences.

Many of our researchers are involved in two cross-disciplinary research centres:

Centre for Speech Technology Research (CSTR)

The Centre for Speech Technology Research (CSTR) is an interdisciplinary research centre linking Informatics and Linguistics. Founded in 1984, it is now one of the world's largest concentrations of researchers working in the field of language and speech processing.

CSTR is concerned with research in all areas of speech technology including speech recognition, synthesis, signal processing, acoustic phonetics, information access, multi-modal interaction and dialogue systems.

The Centre is home to state-of-the-art research facilities including specialised speech and language-orientated computer labs, a digital recording studio, perception labs and a meeting room instrumented with multiple synchronised video cameras and microphones. There is also access to high-performance computer clusters, the University storage area network, a specialist library, and many speech and language databases.

Human Communication Research Centre

The Human Communication Research Centre (HCRC) is an interdisciplinary research centre at the Universities of Edinburgh and Glasgow that brings together theories and methods from several formal and experimental disciplines to understand better how this happens.

We focus on spoken and written language; we also study communication in other visual, graphical and computer-based media.

Training and support

You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

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

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

While many of our graduates pursue an academic career, others find their skills are highly sought after in the technology industry. A number of our students serve internships with large UK and international software developers, while others take up positions with major social media companies.

Read less
For over 26 years, the University of Otago has been an exceptional provider of distance teaching in the fields of Aviation Medicine, Occupational Medicine, and Aeromedical Retrieval and Transport. Read more
For over 26 years, the University of Otago has been an exceptional provider of distance teaching in the fields of Aviation Medicine, Occupational Medicine, and Aeromedical Retrieval and Transport.

The Master in Aviation Medicine (MAvMed) programme is a fully distance-taught that actively encourages international student enrolment.

The University of Otago is a world leader in terms of offering aviation medicine training and professional development for the aviation medicine industry and has 100+ students studying in the Middle East, North America, Europe, Asia and Australia. This is the only aviation medicine programme in the world to offer distance education. It is supported by academic staff and alumni with strong links to the aviation industry.

Graduates of the programme will meet internationally recognised ‘best practice’ standards for aviation medicine practitioners and are frequently employed by airlines including Cathay Pacific, Emirates, and Qantas.

The Master of Aviation Medicine (MAvMed) is available through Distance Learning: http://www.otago.ac.nz/courses/distance_study/index.html

Programme Requirements

The programme shall consist of papers to the value of 240 points (normally eight 30-point papers) which shall normally comprise at least 180 points selected from:
AVME 711 Aviation Physiology
AVME 712 Aircrew Health and Performance
AVME 713 Airport and Travel Health
AVME 714 Clinical Aviation Medicine
AVME 715 Principles of Occupational Medicine
AVME 716 Clinical Occupational Medicine
AVME 717 Medical Logistics in Aeromedical Transport
AVME 718 Operational Aspects of Aeromedical Transport
AVME 719 Aeromedical Studies for Nurses and Paramedics
AVME 720 Clinical Analysis in Aeromedical Retrieval and Transport
AVME 721 Clinical Care in the Air
AVME 722 Organisation of Aeromedical Systems
AVME 723 Managing Occupational Medicine
AVME 724 Health and Industry
AVME 726 Special Topic
AVME 780 Research Project
AVME 785 Research Methods
AVME 801 Occupational Medicine Epidemiology and Biostatistics
AVME 802 Vocational Rehabilitation
AVME 803 Specialist Aeromedical Retrieval
AVME 804 International Assistance Operations

Structure of the Programme

-The programme of study shall consist of papers to the value of 240 points.
-At least 180 points must be from papers selected from AVME 711, AVME 712, AVME 713, AVME 714, AVME 715, AVME 716, AVME 717, AVME 718, AVME 719, AVME 720, AVME 721, AVME 722, AVME 723, AVME 724, AVME 726, AVME 780, AVME 785, AVME 801, AVME 802, AVME 803, AVME 804.
-Subject to the approval of the Dean of the Otago Medical School, papers which have been completed at the University of Otago, another university, or an approved examining body may be credited to the programme and/or used as the basis for exemption from the requirements of (b) above, provided that this previous study is directly relevant to the candidate's proposed and approved programme of study, to a maximum of 120 points.
-A candidate who has completed the Postgraduate Diploma in Aeromedical Retrieval and Transport, Postgraduate Diploma in Occupational Medicine, Postgraduate Certificate in Aeromedical Retrieval and Transport, or Postgraduate Certificate in Occupational Medicine may be exempted from one or more papers in the programme for the degree to a maximum of 120 points.

Read less
The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. Read more
The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. As well as studying a range of taught courses reflecting the state-of-the-art and the expertise of our internationally respected academic staff, you will undertake a significant programming team project, and develop your own skills in conducting a data science project.

Why this programme

◾The School of Computing Science is consistently highly ranked achieving 2nd in Scotland and 10th in the UK (Complete University Guide 2017)
◾The School is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.
◾We currently have 15 funded places to offer to home and EU students.
◾You will have opportunities to meet employers who come to make recruitment presentations, and often seek to recruit our graduates during the programme.
◾You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.

Programme structure

Modes of delivery of the MSc in Data Science include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses

◾Big data
◾Data fundementals
◾Information retrieval
◾Machine learning
◾Research methods and techniques
◾Text as data
◾Web science
◾Masters team project.

Optional courses

◾Advanced networking and communications
◾Advanced operating systems
◾Algorithmics
◾Artificial intelligence
◾Big data: systems, programming and management
◾Computer architecture
◾Computer vision methods and applications
◾Cryptography and secure development
◾Cyber security forensics
◾Cyber security fundamentals
◾Distributed algorithms and systems
◾Enterprise cyber security
◾Functional programming
◾Human computer interaction
◾Human computer interaction: design and evaluation
◾Human-centred security
◾Information retrieval
◾Internet technology
◾IT architecture
◾Machine learning
◾Mobile human computer interaction
◾Modelling reactive systems
◾Safety critical systems.
◾Software project management
◾Theory of Computation

Depending on staff availability, the optional courses listed here may change.

If you wish to engage in part-time study, please be aware that dependent upon your optional taught courses, you may still be expected to be on campus on most week days.

Industry links and employability

◾The advent of Big Data tools in recent years has facilitated the large-scale mining of voluminous data, to allow actionable knowledge and understanding, known as Data Science. For instance, search engines can gain insights into how ambiguous a query is according to the querying and clicking patterns of different users. Data Science combines a thorough background in Big Data processing techniques, combined with techniques from information retrieval and machine learning, to permit coherent and principled solutions allowing real insights and predictions to be obtained from data.
◾The programme includes a thorough grounding in professional software development, together with experience of conducting a development project. The programme will prepare you for a responsible position in the IT industry.
◾The School of Computing Science has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributors include representatives from IBM, J.P. Morgan, Amazon, Adobe, Red Hat and Bing.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the IT industry.

The Data Lab

We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.

Read less
The course is accredited by the Chartered Institute of Library and Information Professionals (CILIP). It covers the creation, storage, retrieval and dissemination of information in organisations and society at large. Read more

Why this course?

The course is accredited by the Chartered Institute of Library and Information Professionals (CILIP).

It covers the creation, storage, retrieval and dissemination of information in organisations and society at large. It encompasses both private and public sector libraries and information systems and services. This is along with related subjects such as management, publishing and the evaluation and use of information.

The course is for graduates in any discipline who wish to pursue a career in the field of information or library services.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/informationlibrarystudies/

You’ll study

Diploma and MSc students follow the same instructional course for the first two semesters.

If you meet the standard required to proceed to MSc, you’ll undertake a dissertation in the following three months.

Compulsory classes:
These classes are as follows:
- Organisation of Knowledge
- Information Retrieval & Access
- Information Law
- Library Technology & Systems
- Managing Information Services
- Libraries, Information & Society
- Research Methods

- Dissertation
This is an individual research project of up to 20,000 words on an approved topic. It allows you to pursue an area of specific interest, providing scope for original thought, research and presentation.

Work placement

There's an optional placement at the end of the second semester. The department helps to arrange this. Previous participating organisations include:
- NHS Scotland
- Scottish Television
- IDOX
- various national and local libraries
- Government agencies

Accreditation

The course is accredited by the CILIP.
Graduates will be entitled to become associate members of CILIP and will be eligible for chartership leading to the award of MCLIP, providing direct entry to a professional body and meeting the requirements of many specialist employers.

Pre-Masters Preparation Course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at the University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form , or to ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

Teaching methods include lectures, tutorials and practical laboratories. Dissertation is by supervision.

Assessment

Coursework assignments involve:
- individual work
- group projects
- exams
- practical work in computer laboratories

For the award of the MSc, you’ll be required to complete an individual project under supervision. This should contain an element of original research.

Careers

The course opens up opportunities in a range of jobs.

- Public sector
Job opportunities in this sector include working in:
- Universities
- Schools
- Museums and Archives
- NHS Scotland
- Public Libraries

- Private sector
Private sector opportunities include:
- Legal & Financial Institutions
- Media Companies
- Publishing
- Bookselling
- Industrial Firms
- Consultancy
- Scottish Television
- IDOX

Not for profit:
- Research Institutes
- Voluntary Organisations

How much will I earn?

Starting salaries for public librarians can be around £19,500 - £23,500.*
Gaining chartered status can increase salaries and with two to five years' experience chartered librarians could earn £23,500 - £30,000.*

*information is intended only as a guide.

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/index.jsp

Read less
Computers are now ubiquitous with many devices and systems being controlled by software. Building robust and reliable software systems requires a deeper knowledge of software design principles and programming methodologies. Read more
Computers are now ubiquitous with many devices and systems being controlled by software. Building robust and reliable software systems requires a deeper knowledge of software design principles and programming methodologies.

The MSc Computing is a full time, one year taught course with a focus on programming and programming related aspects. This is to enable our graduates to go on to a professional career in the computing industry in roles such as team leaders or skilled developers.

The course is designed for students who already possess a degree in IT or related discipline or have equivalent industrial experience, and want to deepen their knowledge in software systems. It covers a range of topics including advanced programming, software engineering and testing, privacy and security, advanced user-interface design and high performance computing.

Course aims
-Advanced Programming: You will gain a thorough grounding of advanced programming concepts using Java, concurrent and real-time programming principles.
-User-Interfaces: You will be introduced to introductory and advanced methods in how users interact with systems (Human-Computer Interaction (HCI)).
-Advanced Software Engineering: You will learn the principles of software engineering using UML, formal methods and software testing.

Learning Outcomes
When you graduate from this course, you will have an in-depth understanding of software systems and programming principles and be able to lead a team of developers in the IT industry. You will have a thorough understanding of:
-Advanced programming knowledge including Java and principles for high performance computing.
-Designing and specifying software components and systems using UML.
-In-depth knowledge of user interface design principles.
-Software testing, privacy and security aspect of software engineering and software management.

Project

The individual project is undertaken by students in Terms 3 and 4 (Summer term and Vacation term). The subject matter of projects varies widely; most projects are suggested by members of staff, some by external organisations, and some by students themselves, allowing students to undertake work relating to an area of personal interest that they wish to develop further.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

Examples of previous project titles include:
-Autosuggestions using Ajax to improve tag based tactile image retrieval
-An Implementation of Mobile Application in Location-aware Service Domain
-Design and Implementation of a Tool Support for Time Bands Modelling
-Image Anomaly Detection and Object Recognition
-Image retrieval using region of interest detection
-Modelling and Simulation of Business Processes
-Reinforcement Learning for the StarCraft Real-Time Strategy Game
-Software for Autistic Children with Communication Difficulties
-The Design, Implementation, and Safety Analysis of a Mobile ePrescription System
-Using Procedural Content Generation to Provide a Set of Game Challenges During a Single Playthrough

Information for Students

The MSc in Computing course is for those with some background in computing, and so we make some assumptions about your existing knowledge and understanding.

You'll start the course with a focus on writing and developing Java programs. We assume that you are familiar with programming concepts and terminology, so we advise you to review basic programming concepts, such as:
-Variables and their types
-Control structures (e.g. if-statements, loops)
-Subprograms (e.g. procedures, functions)
-Compilation and debugging.

If you have never used Java, you will benefit greatly from doing some reading and trying out Java programming before you arrive. We will teach you from first principles, but the pace will be fast and you will find it easier to keep up if you've practiced with the basics beforehand. Tutorials and practical exercises are the best way for you to prepare, and the Deitel and Deitel book below is a good source of these.

Read less
The Master's of Research in Historical Research is a one-year course that is research-oriented and allows specialisation in particular research areas. Read more

Introduction

The Master's of Research in Historical Research is a one-year course that is research-oriented and allows specialisation in particular research areas. Students are allocated an individual supervisor to direct their independent study and plan the curriculum to reflect their interests and needs. Students should maintain regular contact with supervisors through email and an agreed schedule of meetings to discuss their work and review draft submissions.

The Master's of Research (MRes) is designed
- to enable students to become well-trained historians
and
- to demonstrate their fitness to undertake research to doctoral level at Stirling or other universities in Britain and overseas. Both are achieved through the completion of independent study modules, field seminars and skills training, under supervision.

There are four variants of the MRes in Historical Research:
- MRes in Historical Research: The American Revolutionary Era
- MRes in Historial Research: Medieval Scottish History
- MRes in Historical Research: Environmental History
- MRes in HIstorical Research: Modern European History and Politics

Students are allocated an individual supervisor to direct their independent study and plan the curriculum to reflect their interests and needs.

Accreditation

The MRes programme and all constituent modules are constructed in line with the University's academic procedures and are fully assessed and externally examined. The programme is recognised by both the Arts and Humanities Research Council and the Economic and Social Research Council both of whom have given PhD awards to outstanding Stirling graduates of the MRes.

Key information

- Degree type: MRes
- Study methods: Part-time, Full-time
- Duration: Full-time: 12 months Part-time: 24 months
- Start date: September
- Course Director: Dr Jim Smyth

Course objectives

This programme prepares you for further research:
- to co-ordinate the provision of additional or external skills training and to develop the application of research skills
- students will obtain practical experience of devising and applying a research method to interrogate primary sources
- qualitative and quantitative analyses
- the application of IT in information retrieval, especially bibliographical database software,
- communication skills, written and oral
- project design involving the conceptualisation of research questions and the presentation of data and data analysis

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.5 with 6.0 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade B
- Pearson Test of English (Academic): 60 with 56 in each component
- IBT TOEFL: 90 with no subtest less than 20

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Career opportunities

The MRes has been designed with three career destinations in mind:
- to prepare graduate students for further research at doctoral level
- as a route to an academic career
- as a higher degree in its own right

The MRes will also enhance continuing professional development, particularly in teaching, journalism, marketing, and heritage management through in-depth study of particular fields; by aiming to develop critical analytical skills and research techniques, the programme provides preparation for a wide variety of research-based careers in the public and private sectors.
Most of our graduates go on to study for a PhD either by continuing at Stirling or at another University in the UK, Europe or North America. Recent graduates have secured posts in firms and institutions as varied as Historic Scotland, Sea World, and the Defence Science and Technology Laboratory (Dstl).

Chances to expand your horizons
There is a lively series of guest lectures which students can attend on this programme.

Where are our graduates now?
The MRes has been designed with three career destinations in mind:
- to prepare graduate students for further research at doctoral level and as a route to an academic career
- as a higher degree in its own right
- to enhance continuing professional development, particularly in teaching, journalism, marketing, and heritage management through in-depth study of particular fields; by aiming to develop critical analytical skills and research techniques, the programme provides preparation for a wide variety of research-based careers in the public and private sectors

Employability

Skills you can develop through this programme
- command of a substantial body of historical knowledge
- understand how people have existed, acted and thought in the context of the past
- read and use texts and other source materials critically and empathetically
- appreciate the complexity and diversity of situations, events and past mentalities
- recognise there are ways of testing statements and that there are rules of evidence which require integrity and maturity
- reflect critically on the nature and theoretical underpinnings of the discipline
- marshall an argument, be self-disciplined and independent intellectually
- express themselves orally and in writing with coherence, clarity and fluency
- gather, organise and deploy evidence, data and information
- analyse and solve problems
- use effectively ICT, information retrieval and presentation skills
- exercise self-discipline, self-direction and initiative
- work with others and have respect for others’ reasoned views
- show empathy and imaginative insight
- prepare for further academic research such as a Phd

In addition, our students have the opportunity to further develop their transferable skills through voluntary internships working on collections of material held within the Division (The Scottish Political Archive and the University's own archive (e.g. UNESCO recognised Royal Scottish National Institution for mentally disabled children).

Read less
This MSc teaches advanced analytical and computational skills for success in a data rich world. Read more
This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision.

Degree information

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Core modules
-Supervised Learning
-Statistical Modelling and Data Analysis
-Graphical Models or Probabilistic and Unsupervised Learning
Plus one of:
-Applied Bayesian Methods
-Statistical Design of Investigations
-Statistical Computing
-Statistical Inference

Optional modules - students select 60 credits from the following list:
-Advanced Topics in Machine Learning
-Affective Computing and Human-Robot Interaction
-Applied Bayesian Methods
-Approximate Inference and Learning in Probabilistic Models
-Computational Modelling for Biomedical Imaging
-Information Retrieval and Data Mining
-Machine Vision
-Selected Topics in Statistics
-Optimisation
-Statistical Design of Investigations
-Statistical Inference
-Statistical Natural Language Programming
-Stochastic Methods in Finance
-Stochastic Methods in Finance 2
-Advanced Topics in Statistics
-Mathematical Programming and Research Methods
-Intelligent Systems in Business

Dissertation/report
All MSc students undertake an independent research project, which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, discussions, practical sessions and project work. Student performance is assessed through unseen written examinations, coursework, practical application and the project assessment process.

Careers

There is a strong national and international demand for graduates with skills at the interface of traditional statistics and machine learning. Substantial sectors of UK industry, including leading, large companies already make extensive use of computational statistics and machine learning techniques in the course of their business activities. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include; finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.

Top career destinations for this degree:
-Statistical and Algorithm Analyst, Telemetry
-Decision Scientist, Everline
-Computer Vision Researcher, Slyce
-Data Scientist, YouGov
-Research Engineer, DeepMind

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. CSML graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our CSML graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning having coordinated the PASCAL European Network of Excellence.

Coupled with the internationally renowned Gatsby Computational Neuroscience and Machine Learning Unit, and UCL Statistical Science, this MSc programme draws on world-class research and teaching talents. The centre has excellent links with world-leading companies in internet technology, finance and related information areas.

The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided.

Read less
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills. Read more
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills.

Degree information

Students will gain a detailed knowledge and understanding of web-related technologies and big data analytics, ranging from information search and retrieval, natural language processing, data mining and knowledge acquisition, large-scale distributed data analytics and cloud computing to e-commerce and their business economic models and the latest concepts of social networks.

MSc students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three option modules (45 credits) and the research dissertation (60 credits).

Core modules
-Information Retrieval and Data Mining
-Statistical Natural Language Processing
-Complex Networks and Web
-Web Economics

Optional modules - students can choose three of the following:
-Cloud Computing
-Computer Graphics
-Entrepreneurship: Theory and Practice
-Interaction Design
-Applied Machine Learning
-Machine Vision
-Supervised Learning
-Understanding Usability and Use
-Distributed Systems and Security

Dissertation/report
All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and the dissertation.

Careers

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Employability
The skill set obtained from our MSc makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MSc has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address the specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent Research Excellence Framework.

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

Read less
The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills. Read more
The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills.

Degree information

Students will gain a detailed knowledge and understanding of the fundamental principles and technological components of the World Wide Web, learning not only the latest web search and information retrieval technologies and their underlying computational and statistical methods, but also studying essential large-scale data analytics to extract insights and patterns from vast amounts of unstructured data.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), four option modules (60 credits), and the research dissertation (90 credits).

Core modules
-Investigating Research
-Researcher Professional Development

Optional modules
-Complex Networks and Web
-Web Economics
-Information Retrieval and Data Mining
-Distributed Systems and Security
-Multimedia Systems
-Or an elective module from other Computer Science programmes

Dissertation/report
All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. For the research project, each student is liaised with their academic or industrial supervisor to choose a study area of mutual interest. Student performance is assessed by unseen written examinations, coursework and the research dissertation.

Careers

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Employability
The skill set obtained from our MRes makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MRes has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, their research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent Research Excellence Framework.

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

Read less
To pursue an exciting and expert career in forensic computing you will be required to acquire specialist knowledge and skills that can be gained on our MSc in Forensic Computing. Read more
To pursue an exciting and expert career in forensic computing you will be required to acquire specialist knowledge and skills that can be gained on our MSc in Forensic Computing.

The course covers a range of skills that are essential for the retrieval of computer-based information for criminal investigations.

WHY CHOOSE THIS COURSE?

Guest lecturers from industry will provide information about state-of-the-art developments and case studies.

Your masters project can be conducted either as a placement in an external organisation or working with one of the University research groups.

On successful completion of this course you could be presented as an expert witness, or help solve crimes.

WHAT WILL I LEARN?

This course will provide you with a sound understanding of essential hardware and software systems, formats, protocols and standards. There is coverage of essential legislation relating to all aspects of computer-based information.

The central focus of the programme will be an in-depth coverage of the available tools and techniques investigating different types of computer-based information sources.

This course has two parts: the Taught Modules and Master Project. Successful completion of the taught modules, which involves eight single modules of study, leads to the award of postgraduate diploma and, if the appropriate performance is achieved, allows progression onto the masters project.

Taught Modules
-Forensic Computing Methods (double)
-Network and Mobile Forensics (double)
-Internet and Information Security (double)
-Ethical Hacking
-Individual Research Project

In addition to a sound understanding of essential hardware and software systems, formats, protocols and standards, there is coverage of essential legislation relating to all aspects of computer-based information.

Where possible guest lectures will be provided from industry contacts about state-of-the-art developments and case studies.

The final stage of this course requires the completion of a masters project, which must relate directly to the subject being studied. To complete this successfully students will develop a sound capability to carry out research. The project can be conducted either as a placement in an external organisation or working with one of the University research groups.

The MSc project serves to integrate, apply and further develop the different aspects within the taught part of the programme.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

There are a number of potential roles for those with expertise in computer forensics. One of the most high profile positions would be to provide support for civil and criminal investigations that involve the retrieval of computer-based information, typically to be provided as an expert witness or to aid in solving crimes.

There is also a demand for similar skills in the area of disaster management and recovery of computer-based information.

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

Read less
This Masters degree is delivered in partnership between Edge Hill University and Liverpool Women’s Hospital. It bridges the theory of fertility and assisted conception with practice related to the assessment, investigation and treatment of the infertile/sub fertile couple. Read more
This Masters degree is delivered in partnership between Edge Hill University and Liverpool Women’s Hospital. It bridges the theory of fertility and assisted conception with practice related to the assessment, investigation and treatment of the infertile/sub fertile couple.

The programme is designed to ensure you will be able to plan and implement a treatment pathway for infertile couples, whilst providing opportunities to focus on areas such as ultrasound scanning for reproductive medicine, embryo transfer, oocyte retrieval and clinical andrology. There are practice competencies to achieve that will allow you to develop and enhance your clinical skills, underpinned by exploration of the evidence base that supports fertility practice.

The overall aim is to ensure that on completion of the programme you will meet and exceed the standards of an advanced practitioner in fertility and assisted conception.

What will I study?

You will study the clinical assessment and diagnostics that relate to practice within assisted conception. Modules cover topics centred round the anatomy, physiology and pathology of the male and female reproductive systems, alongside the therapeutic and pharmacological interventions aimed at assisting conception and the medico-legal aspects of fertility practice.

You will be able to choose from a range of clinical practice modules which are designed to develop specific clinical skills relating to embryo transfer, oocyte retrieval and ultrasound scanning in reproductive medicine. In addition, you may choose to complete a non-medical prescribing module or undertake negotiated learning around a specific topic of interest within reproductive medicine.

An introduction to research methods and approaches will engage you with the evidence base that supports practice and prepare you for the final dissertation. This is an advanced practice project that allows you to make use of your newly developed skills and immerse yourself in a specific area of fertility practice.

How will I study?

The theoretical component of the course is delivered 50% online (via the virtual learning environment) and 50% through attendance at taught sessions at Liverpool Women’s Hospital and Edge Hill University.

The taught sessions typically run on Saturdays so that attendance can be incorporated with clinical work. Online delivery includes podcasts and lectures by consultants working with reproductive medicine and also incorporates interactive sessions relating to anatomy, physiology and pathology.

Several modules contain practice competencies that need to be met so a significant amount of time for learning is allocated to this work in practice supported by a clinical mentor.

How will I be assessed?

There are a range of practice competencies to be met in clinical practice. Case studies, reflections and presentations will also be assessed to allow you to demonstrate your engagement with the evidence base that supports practice and the application of best practice guidance to your clinical work.

Who will be teaching me?

The programme will be delivered by consultant gynaecologists, obstetricians and andrologists from the field of reproductive medicine, together with specialist nurses, councillors and sonographers.

What are my career prospects?

This programme will develop and enhance your skills and knowledge in reproductive medicine and is designed to provide a strong foundation to progress your career within this discipline.

Read less
The Data Science and Computational Intelligence MSc has been designed to provide an industry-relevant programme that meets the needs of individuals wishing to pursue a research and development career in data science and computational intelligence. Read more
The Data Science and Computational Intelligence MSc has been designed to provide an industry-relevant programme that meets the needs of individuals wishing to pursue a research and development career in data science and computational intelligence.

Students will acquire knowledge, skills and expertise required for the analysis, interpretation and visualisation of complex, high-volume, high-dimensional and structured/unstructured data from varying sources. The programme will be delivered through activity-led and problem-based learning in the context of current research or industrial consultancy projects conducted by the academics teaching on the course. Students will explore cutting-edge research topics and technologies in order to maximise their professional career prospects.

The course has a carefully designed set of options that allows the individual to customise their programme of study according to their preferences, strengths and future plans.

WHY CHOOSE THIS COURSE?

If you choose this course you will benefit from the excellent modern facilities including specialist computing labs with high-performance hardware and industry-standard software. There will be opportunities for joint projects with local companies, guest lectures and interacting with employers. You will also have the opportunity to get involved in projects pursued by our research groups in: Computational Intelligence; Intelligent Information Modelling and retrieval; Distributed Systems and Modelling; Interactive Worlds; Digital Security and Forensics and Biomedical Computing and Engineering Technologies. Every year our students present their best work at the yearly Computing Show which attracts abundance of potential employers. You will work in collaborative international environment, which reflects the globalised nature of the computing industries. You can also get involved in variety of extra curricula activities including social events, trips and computing.

WHAT WILL I LEARN?

Mandatory study topics
-Artificial Neural Networks (15 credits)
-Machine Learning and Data Mining (15 credits)
-Fuzzy Logic and Evolutionary Computing (15 credits)
-Intelligent Information retrieval (15 credits)
-Business Intelligence and Big Data Processing (15 credits)
-Cloud Computing and Distributed Technologies (15 credits)
-Project dissertation (60 credits)

The remainder of the programme is bespoke, made up of topics from areas such as:
-IT Project Management (15 credits)
-Internet Systems Development (15 credits)
-Open Systems Application Development (15 credits)

The Data Science and Computational Intelligence postgraduate programme includes the completion of an individual project. Guided by an expert tutor, the MSc project serves to provide a method of applying previous learning whilst further developing the skills necessary to carry out research and facilitate the acquisition of valuable professional experience integral to that of a computer professional.

The MSc project serves to integrate and apply the subjects studied. The project could be industry-based or undertaken in collaboration with one of the University research groups, within the cognate area of this MSc.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

The course presents existing opportunities in pursuing careers as data scientists, data professionals and data analysts in variety of sectors including financial services, retail, marketing, customer and business intelligence. On Completion of the course, graduates should be equipped with sought after, specialist knowledge and skills by industries which deal with very large volumes of data.

GLOBAL LEADERS PROGRAMME

Centre for Global Engagement logoTo prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

Read less

Show 10 15 30 per page


Share this page:

Cookie Policy    X