• University of Bristol Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Northampton Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Birmingham City University Featured Masters Courses
  • Cardiff University Featured Masters Courses
University of Nottingham in China Featured Masters Courses
Coventry University Featured Masters Courses
University of Dundee Featured Masters Courses
Nottingham Trent University Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
"intelligence" AND "analy…×
0 miles

Masters Degrees (Intelligence Analysis)

We have 303 Masters Degrees (Intelligence Analysis)

  • "intelligence" AND "analysis" ×
  • clear all
Showing 1 to 15 of 303
Order by 
We are pleased to offer our PG Cert which has some of the same features as the MA, via distance learning, starting in September 2017. Read more

About the course

We are pleased to offer our PG Cert which has some of the same features as the MA, via distance learning, starting in September 2017. 

Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Today more than ever before national governments, international agencies and most major international corporations have an identified need for staff with a strong grasp of intelligence and security issues who can also demonstrate first-rate skills of research and assessment.

Taught by the internationally respected scholars of the Brunel Centre for Intelligence and Security Studies, backed up where required by practitioner expertise, the PG Cert in Intelligence Analysis (by Distance Learning) offers a unique opportunity for practical, policy-oriented graduate study of intelligence issues applicable across the private and public sectors around the world.

Aims

To provide you with a systematic understanding of the role of intelligence policy and intelligence operations in national strategy and decision-making.

To provide you with a systematic and critical understanding of the role national intelligence institutions and their products have in the context of contemporary international history and politics.

To provide you with a systematic and critical understanding to the effectiveness of different methods of intelligence analysis to domains and applications of intelligence and introduce students to the core concepts of the cognitive process involved in intelligence analysis and associated cognitive errors and biases.

To provide general training in policy-oriented research and analytical skills.

Course Content

The PGcert consists of two compulsory modules. Modules can vary from year to year, but these offer a good idea of what we teach.

Intelligence Analysis Foundations, Methods and Applications:
This module examines the core concepts of the cognitive process involved in intelligence analysis and associated cognitive errors and biases, and promotes critical understanding to the effectiveness of different methods of intelligence analysis to domains and applications of intelligence. You will gain hands on experience in applying structured analytic techniques, quantitative methods, and traditional analysis methods. The module also draws lessons from other disciplines and examines the analytical implications of organisational aspects in intelligence. Throughout the module, you will undertake the Validation of Intelligence Scenarios and Analysis (VISA).
VISA is a scenario based intelligence analysis exercise covering open source intelligence collection plan, source evaluation and analytical techniques evaluation on contemporary case where denial and deception is potentially involved.

Contemporary Threats and Analytical Methodology:
This module hosts the Brunel Analytical Simulation Exercise (BASE).
BASE provides you with an opportunity to undertake a simulated intelligence analysis on a real-world subject. It is designed to emulate the interdepartmental assessment methods of the British Joint Intelligence Committee, and gives you a chance to apply hands-on analytical principles and methods learned abstractly in the other Intelligence Analysis taught courses.

Teaching

Thematic Video Lectures (TVLs) 
The thematic video lectures and reading materials will provide grounding in the theoretical, methodological and practical issues upon which good research in intelligence and security studies is conducted. It will focus on providing conceptual mapping to the subject. The Lecturer video interaction with students will be supported by well-structured lecture slides. This is to be followed by problem based learning where students engage in practical exercises, case studies, and simulations.

Multidisciplinary Teaching
The programme design enables students to examine intelligence analysis in multidisciplinary approach. Security Studies, Military History, Organisational Theories, Law, Cognitive Psychology and Probability together contribute to thorough and comprehensive approach to studying Intelligence.

Residential Week
Students join Brunel campus for one week, dedicated to supporting the teaching and assessment. During the Residential Week, you will benefit from live seminars and discussions with experts in the field.

Effective Interaction
Lecturers provide timely feedback on students’ regular short assignments, where they demonstrate understanding of key concepts and develop regular interaction with teaching team.
Peer-to-Peer review is an integral part of the online design, where students comment in their colleagues short assignments and engage in discussions. 
Lecturers have regular real-time online office hours, where they can engage with students in live discussions.
The Residential activities further supports the cohort atmosphere where students engage in joint academic and social events.

Online Resources
To further utilise the online platform, students learning will be supported by the use of specialised analysis software tools in intelligence and they will engage with multimedia material where possible. Moreover, students will have access – via the integrated online platform – to supportive teaching materials and workshops provided by Brunel Graduate School and the several units of Brunel Educational Excellence Centre.
Students will have access to Online Journals, E-Books, Digital Copies, and other online materials (such as government declassified documents).

Assessment

Intelligence Analysis Foundations, Methods and Applications

The module is assessed via three types of assignments. The first leg of assessment is a portfolio of short assignments to be submitted online and aims at engaging with the key readings on regular basis, getting regular feedback for lecturers, and interaction among students.
The second leg of assessment is to be conducted while you are on campus. The residential week consists of Workshops – involving presentations and exercises – that will be used as opportunities to ‘test-fly’ your arguments that you wish to make in your final essay in a setting of open discussion and challenge from your peers as well as academic staff.
Finally, you submit your final essays where you reflect on your learning throughout the module.

Contemporary Threats and Analytical Methodology - Brunel Analytical Simulation Exercise (BASE)
Brunel Analytical Simulation Exercise will involve you working in groups in a simulated joint, all-source intelligence assessment modelled on the actual joint assessment processes in the US and UK governments. You are assessed on a mixture of individual and group work.

Special Features

Brunel Centre for Intelligence and Security Studies (BCISS)
The Brunel Centre for Intelligence and Security Studies is Britain's first academic centre dedicated to intelligence scholarship and policy-analysis.
The Centre is an inter-disciplinary endeavour, and includes participation from some of the leading Brunel University London academics in the fields of cryptography, computer networking, imagery, economics and even law. Many of these experts already assist our teaching. As well, the centre benefits from the assistance, from time to time, of various officials of Her Majesty’s Government. The Intelligence Analysis PGCert, therefore, benefits from practitioner input and insight as well as instruction by leading international academics.

Flexible and Interactive Features:
Online office hours with lecturers
Timely feedback on students’ regular short assignments
Individual and team assignments
Use of multimedia materials and software resources in teaching and assessments
Pre-recorded lectures and materials are available throughout the week
Materials can be accessed via standard and Apple computer devices

Read less
Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Read more

About the course

Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Today more than ever before national governments, international agencies and most major international corporations have an identified need for staff with a strong grasp of intelligence and security issues who can also demonstrate first-rate skills of research and assessment.

Taught by the internationally respected scholars of the Brunel Centre for Intelligence and Security Studies, backed up where required by practitioner expertise, the MA in Intelligence and Security Studies (MA ISS) now available by Distance Learning) offers a unique opportunity for practical, policy-oriented graduate study of intelligence issues applicable across the private and public sectors around the world.

Aims

This course will be of value to individuals seeking to go into security-oriented careers in both the private sectors, as well as to individuals engaged in the security professions who seek further qualifications and professional enhancement.

A distinctive feature of the course lies in its combining the rigorous study of intelligence and security policy studies with practical opportunities to develop intelligence skills through case studies and simulation exercises dealing with intelligence analysis.

Course Content

The MA consists of both compulsory and optional modules, a typical selection can be found below. Modules can vary from year to year, but these offer a good idea of what we teach.

Year 1

Compulsory modules:

Intelligence Concepts: Issues and Institutions
Intelligence History: Failure and Success
Intelligence and Security Studies Project

Year 2

Compulsory modules:

Contemporary Threats and Analytical Methodology
Intelligence and Security Studies Project

Optional modules:

Intelligence Analysis Foundations, Methods and Applications
Counterintelligence and Security

Typical Dissertations

Dissertation (60 credits)
All students produce a supervised research dissertation/project of 15,000 - 20,000 words. Students may pick their own topics subject to approval. Students generally undertake topics which might assist them in their intended field of employment, or as suggested by their home agencies or governments.

Teaching

Students will undertake a practical dissertation project over one year where they will have support from the first stage on research methods and guidance on their research proposal through the final stage.

Each of the four taught modules will be taught over two terms to enable students to absorb and reflect on their learning. The three compulsory modules will provide students with the core knowledge, while choosing one out of two options will enable students to specialise in their area of interest.

Effective Interaction

In additions, the design addresses the need for effective interaction with and among students via live online office hours with lecturers, who will also provide timely feedback on students’ regular short assignments, where they demonstrate understanding of key concepts.

Online Resources

To further utilise the online platform, students learning will be supported by the use of specialised analysis software tools in intelligence and they will engage with multimedia material where possible. Moreover, students will have access – via the integrated online platform – to supportive teaching materials and workshops provided by Brunel Graduate School and the several units of Brunel Educational Excellence Centre.

Students will have access to Online Journals, E-Books, Digital Copies, and other online materials (such as government declassified documents).

Assessment

All modules are taught on the basis of lectures, seminars and directed reading. Additionally, the second term Case Studies course is a student-led seminar programme in which participants present detailed case studies and are peer reviewed on their presentation skills.

The second term Analytical Simulation Exercise will involve students working in groups in a simulated joint, all-source intelligence assessment modelled on the actual joint assessment processes in the US and UK governments. Students are assessed on a mixture of individual and group work.

Special Features

BCISS
The Brunel Centre for Intelligence and Security Studies is Britain's first academic centre dedicated to intelligence scholarship and policy-analysis. It includes one of Britain's most innovative scholars in the field, Dr Philip H J Davies, as well Dr Kristian Gustafson (director of the MA programme), an expert on covert action and military intelligence doctrine. The newest member of staff is Mohamed Gaballa. An alumni of the MA, he is a specialist in Structured Analytic Techniques, with a focus on Analysis of Competing Hypothesis. The former senior military imagery analyst, Geoff Oxlee, OBE, joined BCISS as an Honorary Fellow and completes the core team. Together, these scholars not only produce important original research, published worldwide, but actively contribute to the success of government and business in the UK.

The Centre, though, is an inter-disciplinary endeavour, and includes participation from some of the leading Brunel University London academics in the fields of cryptography, computer networking, imagery, economics and even law. Many of these experts already assist our teaching. As well, the centre benefits from the assistance, from time to time, of various officials of Her Majesty’s Government. MA ISS, therefore, benefits from practitioner input and insight as well as instruction by leading international academics.

Thematic Video Lectures (TVLs):
The thematic video lectures and reading materials will provide grounding in the theoretical, methodological and practical issues upon which good research in intelligence and security studies is conducted. It will focus on providing conceptual mapping to the subject. The Lecturer video interaction with students will be supported by well-structured lecture slides. This is to be followed by problem based learning where students engage in practical exercises, case studies, and simulations.

Residential Block Week (RBWs):
Students join Brunel campus for one week in each year, dedicated to supporting the teaching and assessment. Each module assessment has one element – at least – to be conducted while students are on campus. The week consists of Workshops – involving Presentations and Exercises – that will be used as opportunities to test ‘test-fly’ students’ arguments that they wish to make in their final essay in a setting of open discussion and challenge by their peers as well as academic staff.

RBW (1) covers the two modules of the first year and introducing students to the research methods and support available at Brunel for their practical dissertation. RBW (2) hosts the Syndicate Meetings of Brunel Analytical Simulation Exercise (BASE), where students’ teams engage in discussions and produce their joint assessments.

Attendance of the two RBWs is compulsory. Each student will be hosted in on campus accommodation.

Brunel Analytical Simulation Exercise (BASE):
BASE, the jewel in the MA ISS crown, provides a hands-on, practical experience in the skills and techniques of simulations in intelligence collection and analysis. It provides students with a conceptual understanding of the strengths and pitfalls of collective intelligence analysis, assessment, and decision-making; and gives students first hand insight into the management problems of generating an agreed, collective or joint assessment.

Flexible and Interactive Features
-Online office hours with lecturers,
-Timely feedback on students’ regular short assignments.
-Individual and team assignments.
-Use of multimedia materials and software resources in teaching and assessments.
-Pre-recorded lectures and materials are available throughout the week.
-Materials can be accessed via standard and Apple computer devices.

Read less
Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Read more

About the course

Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Today more than ever before national governments, international agencies and most major international corporations have an identified need for staff with a strong grasp of intelligence and security issues who can also demonstrate first-rate skills of research and assessment.

Taught by the internationally respected scholars of the Brunel Centre for Intelligence and Security Studies, backed up where required by practitioner expertise, the MA in Intelligence and Security Studies offers a unique opportunity for practical, policy-oriented graduate study of intelligence issues applicable across the private and public sectors around the world.

Attendance for lectures full-time: 2 days per week - for 24 weeks
Attendance for lectures part-time: 1 day per week - for 24 weeks (in each of 2 years)

Aims

This course will be of value to individuals seeking to go into security-oriented careers in both the private and public sectors. It is suitable to individuals engaged in the security professions who seek further qualifications and professional enhancement.

A distinctive feature of the course lies in its combining the rigorous study of intelligence and security policy studies with practical opportunities to develop intelligence skills through case studies and simulation exercises dealing with intelligence analysis.

Course Content

The professionally-oriented course is offered on either a full-time basis, taught over two terms and a dissertation during the summer, or part-time basis taught over four terms with the dissertation completed during the summer of the second academic year.

The MA consists of both compulsory and optional modules, a typical selection can be found below. Modules can vary from year to year, but these offer a good idea of what we teach.

Compulsory modules:

Intelligence Concepts: Issues and Institutions
Intelligence History: Failure and Success
Contemporary Threats and Analytical Methodology
Intelligence and Security Studies Project

Optional modules:

Intelligence Analysis Foundations, Methods and Applications
Counterintelligence and Security

Assessment

All modules are taught on the basis of lectures, seminars and directed reading. Additionally, the second term Case Studies course is a student-led seminar programme in which participants present detailed case studies and are peer reviewed on their presentation skills.
The second term Analytical Simulation Exercise will involve students working in groups in a simulated joint, all-source intelligence assessment modelled on the actual joint assessment processes in the US and UK governments. Students are assessed on a mixture of individual and group work.

Special Features

The Brunel Centre for Intelligence and Security Studies is Britain's first academic centre dedicated to intelligence scholarship and policy-analysis. It includes one of Britain's most innovative scholars in the field, Dr Philip H J Davies, as well Dr Kristian Gustafson (director of the MA programme), an expert on covert action and military intelligence doctrine.

The newest member of staff is Mohamed Gaballa. An alumni of this course, he is a specialist in Structured Analytic Techniques, with a focus on Analysis of Competing Hypothesis.

The former senior military imagery analyst, Geoff Oxlee, OBE, joined BCISS as an Honorary Fellow and completes the core team.

Together, these scholars not only produce important original research, published worldwide, but actively contribute to the success of government and business in the UK.

The Centre, though, is an inter-disciplinary endeavour, and includes participation from some of the leading Brunel University London academics in the fields of cryptography, computer networking, imagery, economics and even law. Many of these experts already assist our teaching.

The centre also benefits from the assistance, from time to time, of various officials of Her Majesty’s Government.

The degree, therefore, benefits from practitioner input and insight as well as instruction by leading international academics.

Read less
Intelligence and security issues are an increasing concern for politicians and analysts around the world. The demand for experts in the field is growing as a consequence. Read more
Intelligence and security issues are an increasing concern for politicians and analysts around the world. The demand for experts in the field is growing as a consequence. This course will equip you with an understanding of key concepts and debates in intelligence and security and the current state of knowledge in the field. It will enable you to apply this new knowledge to your own field, whether as a practitioner or academic.

You will look in depth at four major themes:

Key concepts and debates in intelligence
Intelligence collection and analysis
Intelligence failure
Intelligence ethics

As well as a greater theoretical understanding of intelligence and security, this course looks at the subject from the perspective of civilian, military and police intelligence agencies as well as providing an insight into commercial intelligence activity, such as the provision of intelligence by private security companies and political risk analysis.

Combining world leading research by members of the Department of Politics and International Relations, and their practical experience in the field of intelligence, this degree will give you an opportunity to conduct advanced study on intelligence theory and practice.

The distance learning MA in Intelligence and Security is the first course in Britain and only the second worldwide to be certified by the International Association for Intelligence Education (IAFIE), an international organisation dedicated to expanding research, knowledge and professional development in intelligence education.

Who is the course for?

The MA in Intelligence and Security will be especially beneficial to you if you are seeking professional development and/or enhanced employability working with intelligence in central government, the military, the police, private security sector, non-governmental organisations, the UN or other international organisations.

By choosing to study by distance learning, you will have the flexibility to fit your study around existing commitments and enhance your career prospects without having to leave employment.

If you have any questions about this course, join us for a live online chat with academic tutors and admissions staff.

Course modules

Intelligence: Key Concepts and Debates
Intelligence Techniques and Tradecraft
Intelligence Failure
Intelligence Ethics
Dissertation

(Please note: due to regular enhancement of the University’s courses, please refer to Leicester’s own website (http://www.le.ac.uk) or/and Terms and Conditions (http://www2.le.ac.uk/legal) for the most accurate and up-to-date course information. We recommend that you familiarise yourself with this information prior to submitting an application.)

Read less
This programme aims to deliver a deep understanding of the contemporary security and intelligence environment in western democracies, with a focus on the UK. Read more

Course Outline

This programme aims to deliver a deep understanding of the contemporary security and intelligence environment in western democracies, with a focus on the UK. Security and Intelligence Studies are an important new field in political science but there is also widespread recognition that a good knowledge of how security and intelligence agencies operate; of the environment in which they operate; and of how their products are, and should be, used has become a key component of good and successful governance. Emphasis is placed on relating academic and historical analyses to contemporary problems and policy questions especially in the UK but also to western states in general, using a unique degree of practitioner-led expertise.

With regard to intelligence-led policy and practice, emphasis is placed on the very skills that the intelligence community itself has been urged to develop in the wake of the Butler Review on Intelligence on WMD. This specifically recommended the development of a greater degree of ‘professionalisation’ in intelligence analysis skills, including critical thinking and analysis (developed in part through an element of exercising and collaborative working on challenge problems), and a greater ability to evaluate and assess disparate sources of sometimes conflicting information. This programme is aimed at everyone who is interested in intelligence and security issues, whatever their career plans, but also at those who may be aspiring to work in the field of security and intelligence. It can also assist the career development of those already employed within that field.

Find out more about our Department of International Studies on http://www.buckingham.ac.uk/economics-international.

Entry points

Entry to the course is available in January, April and September.

Teaching methods

Teaching is carried out through a combination of lectures supported by seminars and tutorials. A key feature of the Buckingham teaching method is the use of small tutorial groups which provide the most effective means of ensuring that the students benefit from the academic expertise at their disposal. It is also the philosophy of Buckingham’s faculty to be available to students outside the scheduled tutorial times and to encourage good working relationships between staff and students.

About BUCSIS

BUCSIS was established in 2008 as a world-class centre for research into the key Security and Intelligence issues facing the UK and the world in the 21st century. The Centre is headed by a leading academic in the field, Professor Anthony Glees, and is supported by a research and teaching team led by Dr Julian Richards, a Security Studies specialist with a long experience of working in the UK government on defence and security policy issues. More information about BUCSIS.

Apply here http://www.buckingham.ac.uk/humanities/ma/securityandintelligence.

Read less
Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. Read more

Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. The MSc Crime Intelligence and Data Analytics (with Advanced Practice) course helps you develop the necessary skills to work in these sectors.

Course details

The work boundaries of the traditional police intelligence analyst and digital forensic investigator are becoming blurred – today’s analysts need to be cyber aware, understanding how communication records and web search histories can be extracted and analysed.

This course covers these areas as well as theories that provide a better sense of the causes of crime and the prevention measures that can be put in place to stabilise and reverse these trends. Analysts shouldn’t be phased by data simply because of its size, complexity or format. This course provides you with the skills to work effectively with large datasets, allowing you to make more informed decisions in relation to criminal investigations. Key features include writing code to quickly clean up data and packaging it so it’s suitable for analysis and visualisation. You will discover that the world constantly presents data in data frames or spreadsheets – our daily activities are invariably logged by a time, date, geolocation. You develop these skills along with your confidence in applying them to make more sense of the data – analysing Twitter downloads, searched words and images, geolocation points or big data. This course also explores strategies employed in forensic investigation. It gives you the space and opportunity to develop your own area of interest in a 60-credit research project where your supervisor enables you to maximise your skillsets from academic writing to data analytics.The two-year MSc Crime Intelligence and Data Analytics (with Advanced Practice) is an opportunity to enhance your qualification by spending one year completing an internship, research or study abroad experience. Although we can’t guarantee an internship, we can provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge. Alternatively, a research internship develops your research and academic skills as you work as part of a research team in an academic setting – ideal if you are interested in a career in research or academia. A third option is to study abroad in an academic exchange with one of our partner universities. This option does incur additional costs such as travel and accommodation. You must also take responsibility for ensuring you have the appropriate visa to study outside the UK, where relevant.

What you study

For the MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Course structure

Core modules

  • Coding for Intelligence Analysts
  • Crime Science: Theories, Principles and Intelligence Sources
  • Cyber Security and Digital Investigation
  • Forensic Investigative Strategy
  • Legal Issues and Evidence Reporting
  • Research Methods and Proposal

Advanced Practice options

  • Research Internship
  • Study Abroad
  • Vocational Internship

Modules offered may vary.

Teaching

How you learn

You learn through a range of lectures, seminars, tutorials and IT laboratories, using a variety of software. Simulated problems and scenarios are posed in much the same way that analysts would face in the real world. You have the opportunity to use software that is found in real-world intelligence analysis and digital forensic units and data science. Engaging and learning from your peers will help you to achieve solutions. Much of the software you use in class can be downloaded for home use.

How you are assessed

You are assessed through a formal exam as well as through structured coursework.

Employability

You can expect to apply for an intelligence researcher and intelligence analyst role in a wide variety of career opportunities ranging from security, policing and business.



Read less
The Business Analysis and Service Design pathway will give you the capability to use information and information management to design agile and innovative business services.  . Read more

The Business Analysis and Service Design pathway will give you the capability to use information and information management to design agile and innovative business services.  

Commercial focus

Our students learn to apply their knowledge and skills to design technology-based solutions to application domains in business and management. They also gain a thorough understanding of management and leadership issues to enable them to work effectively within a variety of organisations.

After you’ve graduated

Graduates will be equipped for a variety of roles in the digital economy including business analysis, digital marketing, service development, strategic data analysis and consulting roles.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional modules from the list below.

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice.



Read less
The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. . Read more

The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. 

Commercial focus

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

After you’ve graduated

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice. 



Read less
Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. Read more

Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department.

Course details

The work boundaries of the traditional police intelligence analyst and digital forensic investigator are becoming blurred – today’s analysts need to be cyber aware, understanding how communication records and web search histories can be extracted and analysed.

This course covers these areas as well as theories that provide a better sense of the causes of crime and the prevention measures that can be put in place to stabilise and reverse these trends. Analysts shouldn’t be phased by data simply because of its size, complexity or format. This course provides you with the skills to work effectively with large datasets, allowing you to make more informed decisions in relation to criminal investigations. Key features include writing code to quickly clean up data and packaging it so it’s suitable for analysis and visualisation. You will discover that the world constantly presents data in data frames or spreadsheets – our daily activities are invariably logged by a time, date, geolocation. You develop these skills along with your confidence in applying them to make more sense of the data – analysing Twitter downloads, searched words and images, geolocation points or big data. This course also explores strategies employed in forensic investigation. It gives you the space and opportunity to develop your own area of interest in a 60-credit research project where your supervisor enables you to maximise your skillsets from academic writing to data analytics.

What you study

For the PgDip award you must successfully complete 120 credits of taught modules. For the MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Course structure

PgDip and MSc core modules

  • Coding for Intelligence Analysts
  • Crime Science: Theories, Principles and Intelligence Sources
  • Cyber Security and Digital Investigation
  • Forensic Investigative Strategy
  • Legal Issues and Evidence Reporting
  • Research Methods and Proposal

MSc only

  • Research Project

Modules offered may vary.

Teaching

How you learn

You learn through a range of lectures, seminars, tutorials and IT laboratories using a variety of software. Simulated problems and scenarios are posed in much the same way that analysts would face in the real world. You can expect to use software that is found in real-world intelligence analysis/digital forensic units and data science. An element of the learning is through peer engagement, learning from others to achieve solutions. Much of the software you use in class can be downloaded for home use.

How you are assessed

You are assessed in formal examination settings as well as through structured coursework.

Employability

Career opportunities

You could expect to apply for intelligence researcher and intelligence analyst roles in a wide variety of career opportunities ranging from security, policing and business.



Read less
This Erasmus Mundus Joint Master Degree brings together European and international partners to provide an integrated study programme engaging with theoretical, empirical and applied approaches to security, intelligence and strategy. Read more
This Erasmus Mundus Joint Master Degree brings together European and international partners to provide an integrated study programme engaging with theoretical, empirical and applied approaches to security, intelligence and strategy. Studying across Europe you will be able to participate in an optional work-based placement with a practitioner organisation.

● The University of Glasgow is the leading partner in the consortium of universities that have developed this joint masters programme. Other degree awarding partners include Charles University Prague (Czech Republic) and Dublin City University (Ireland).

● Specialist master classes and webinars (online seminars) will be provided by practitioners and visiting academics.


● The programme will address a wide range of challenging intellectual questions, as well as the policy and ethical dilemmas that arise when state and non-state actors seek to resolve threats ranging from traditional interstate conflict to diverse contemporary issues such as terrorism, organised crime, and insecurity and vulnerability associated with technological and cyberspace advancements.

● You will also gain experience of the methods and products (linked to intelligence gathering and analysis, diplomacy and strategic communications) used by states, as well as the international political and economic/business communities to advance their security.

Programme Structure

The programme is structured around a series of mobility periods across two years where you study at the three programme universities for 1 academic semester each. During year 1 you will undertake a series of core courses reflecting the main themes of the programme and research methods training.

In year 2 you will choose a specialist concentration containing a range of optional courses. Also included is a 4th flexible mobility period, during which independent study (dissertation) and an optional work-based learning placement with a relevant non-academic practitioner partner are undertaken.

The periods of mobility are designed to enable you to engage with a variety of perspectives on the three core themes of the programme and promote valuable knowledge and practical skills based outcomes that will feed into future career opportunities.

Year 1

• University of Glasgow (September - December)
• European and international security strategies
• International security & strategic thought
• Intelligence analysis & policy making
• Language option: Arabic, Chinese, Russia, German, French OR Spanish.

Dublin City University (January - May)

• International security
• Intelligence & security analysis: theory & practice
• Political terrorism OR Peace-keeping & peace-making interventions.

Various locations (June - August; optional)

Research period to work on dissertation and engage with placement partner
Summer School (provided by OTH Regensburg), includes training on situational awareness, presentation and communication, analytics and intercultural awareness

[[Year 2 ]]

Charles University Prague (September - February)
You must choose one specialist themed concentration and complete a minimum of four courses (including the core). You may choice a fifth course from any of the options offered to make up the required number of credits. (Additional courses may be added to concentrations and all courses are subject to availability)

Concentration A - Strategic Studies
Concentration B - Regional Security
Concentration C - Security & Technology
Concentration D - Conflict Studies

Independent Study Portfolio (March - August)

During this flexible mobility period you will return to the university location of your primary supervisor. This will be your official academic home for this period. During this period all students have to complete their independent study portfolio which includes a dissertation. Depending on your research topic you may be able to spend some time during this mobility period in a fourth location at one of our associate partners. Some students will also have the opportunity to undertake a 6-8 week work-based placement linked to their dissertation topic. These are offered by our associate non-academic partners and are available on a competitive basis.

A range of formative and extra-curricular features are embedded within this programme. These include

• Language learning opportunities (e.g. German, Czech, Russian, Chinese, Spanish, Urdu, Arabic),
• Study Tour opportunities (e.g. Brussels/Paris/London, Washington) to visit key institutions and organisations working in the security sector such as NATO, European External Action Service.
• Policy development exercises, situational workshops and crisis management training events
• A project based Summer School
• Opportunities to attend security focused conferences
• Specialist guest lectures and seminars
• Membership of the University of Glasgow's Global Security Network and the opportunity to work closely with staff from Charles

University’s Deutsch Security Square.
Students (funded and fee-paying) should be aware that the programme involves a minimum of 2 flights once you have arrived at Glasgow.

Airfares are not included

with tuition fees. Possible flights include:

Glasgow to Dublin
• Dublin to Prague OR via optional summer school in Regensburg
• Prague to Dublin OR Glasgow (if not based in Czech Republic for your dissertation period)
• Work-placement students will have additional travel to factor into account

Read less
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more

This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Course structure

The following modules are indicative of what you will study on this course.

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



Read less
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more

This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Course structure

The following modules are indicative of what you will study on this course.

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



Read less
There has been a recent upsurge in commercial interest in the new role of "data scientist". A data scientist is a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data"). Read more
There has been a recent upsurge in commercial interest in the new role of "data scientist". A data scientist is a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data").

Why study Data Science at Dundee?

The School of Computing has been working on 'big data' and data analysis for at least five years; not only working with data but also developing new algorithms and techniques for data scientists. The School already runs the most successful Business Intelligence Masters course in the UK.

This course will be led by Professor Mark Whitehorn and Andy Cobley. Mark is an emeritus professor at the University of Dundee and also runs a successful consultancy company that specialises in BI, Data Sciences and analytics. Andy is the course organiser for both the existing BI course and the new Data Science course.

This course will enhance your employability by providing you with knowledge, skills and understanding of data science research and implementation. You will also acquire skills in the professional procedures necessary to ensure that data science research and implementation is both valid and actionable and engage with contemporary debate about the role, ethics and utility of data science in commercial and other settings.

What is the difference between Data Science and Business Intelligence?

There is clearly a huge overlap with Business Intelligence. A BI specialist will need to understand data and data analytics. However there is a bias towards understanding how data is stored in the current operational systems within an enterprise the design and the implementation of an analytical system such as a data warehouse. A data scientist will be less concerned with the construction of a data warehouse and more interested in the message the specific sets of data can deliver.

However, without some understanding of data warehouses the data scientist will find it difficult to interrogate the data for its secrets. For this reason there is overlap between the two courses.

If you already have a strong grounding in Business Intelligence and would like to upgrade your knowledge to include topics from the Data Science MSc, we offer the relevant Data Science modules either on a stand alone basis or as a PGCert.

What's so good about Data Science at Dundee?

Our facilities will give you 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

A booming Postgraduate culture where the School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

Duncan Ross (Director of Data Sciences at Teradata) has said that: "The first and most important trait is curiosity. Insane curiosity. In many walks of life evolution selects against the kind of person who decides to find out what happens 'if I push that button'. Data Science selects for it."

How you will be taught

The programme will be delivered by Prof. Mark Whitehorn with input from Andy Cobley, Yasmeen Ahmad, Chris Hillman and other specialists from within the School of Computing in an innovative blend of live co-presented master-classes, video seminars and recorded materials. A series of guest speakers from industry will provide case studies across both semesters.

The programme will be provided predominantly on-campus, with two intensive study weeks in each of the semesters. Other classes may be taken off-campus using the university’s VLE, remote desktop, Adobe Connect and video conferencing systems along with telephone conferencing.

What you will study

Semester 1
Big Data - 20 Credits
Business Intelligent Systems - 20 Credits
Data Analysis and Visualisation - 20 Credits

Semester 2
Analytical Database Models and Design - 20 Credits
Advanced statistics and data mining - 20 credits
MDX - 20 Credits

Semester 3
Data Science Mini Project - 20 credits (for Certificate)
Data Science Research Project - 60 credits

PGCert:
The PGCert is intended for students who have a strong grounding in Business Intelligence and would like to upgrade their knowledge to include topics from the Data Science MSc. The modules are available stand alone for those who want to take their time studying the material and perhaps build up to a PGCert.

The three modules that make up the PGCert are:
Big Data
Advanced Anlaysis
Mini Project

For more information about the content of the course, please visit the course webpage on the School of Computing website.

How you will be assessed

Assessment will be by examination, practical coursework and research project.

Careers

Various job sites now report an increase in jobs carrying the title of data scientist. Other career opportunities are in intelligence analysis, data management/database maintenance, data processing manager, database development and research, business intelligence consultant and more.

Read less
This programme aims at training those who would like to pursue a career in the booming field of Artificial Intelligence (AI). It uniquely covers all five of the hottest AI topics – games, robotics, vision, music, and language – each backed up by a respective research group at QMUL that is world-leading. Read more

This programme aims at training those who would like to pursue a career in the booming field of Artificial Intelligence (AI). It uniquely covers all five of the hottest AI topics – games, robotics, vision, music, and language – each backed up by a respective research group at QMUL that is world-leading. Practical machine-learning skill development is at the core of this programme, which is specifically designed to maximise employment potential across a wide spectrum of industrial and academic posts related to AI.

Artificial Intelligence is rapidly changing the way we live, work and learn. Both governments and industries have recognised the need for strategic development of AI -- technology giants such as Google, Microsoft and Facebook have each established their own AI research institutes, and the UK government recently announced its £75 million investment in the November 2017 Budget.

There is however a real shortage of AI talents worldwide, both to serve the industry and drive future research. Artificial Intelligence jobs are amongst the best paid in industry nowadays – an AI Specialist typically earns among the highest salaries (New York Times, 22nd Oct 2017), while having a solid AI background is strongly desired in multiple research disciplines.

MSc Artificial Intelligence importantly recognises such need for training cutting-edge AI talents, and is specifically designed to maximise student employability on AI-specific jobs.

This programme is:

• comprehensive: covering all five of the most popular AI topics

• up-to-date: each topic backed up by a world-leading group with cutting edge research

 unique: offering Game AI that represents some of the most advanced AI to date (e.g., AlphaGo)

• practical: focusing on developing practical machine-learning skills across all five AI topics

The programme brings together our teaching, research and industrial contacts to allow students to mix the different AI topics that best suits their personal requirements and future plans. Students will be offered lectures that explain the fundamental AI concepts, universal machine-learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics. Students will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs. Students will be taught by world-renowned academics in their specific subject areas, and have regular contacts with them throughout the duration of the programme.

Structure

MSc Artificial Intelligence is currently available for one year full-time study or two years part-time study.

Full-time (programme organised into three semesters)

Semester 1: Four modules that operate on a 3+1 scheme

3 core modules that cover the foundational machine learning techniques and introduction of Artificial Intelligence for Games (e.g., AlphaGo); and 1 optional module to select from three other AI topics (vision, music and language).

Semester 2: Four modules themed around all five AI topics offered

The module selection allows students to focus on topic-specific research or industry applications for AI. More importantly, these module options allow students to gain advanced and up-to-date knowledge on selected AI topics.

Semester 3:

Students carry out a large project on the AI topic that they want to specialise in, after agreeing on a specific topic with an academic supervisor in the first semester, and completing the preparation phase over the second semester.

Undertaking a masters programme is a serious commitment, with weekly contact hours in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching, independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator

Core modules:

·       Computational Intelligence and Games

·       Machine Learning

·       Data Mining

·       MSc Project module

Option modules:

·       Introduction to Computer Vision

·       Machine Learning for Visual Data Analysis

·       Deep Learning and Computer Vision

·       Music Perception and Cognition

·       Music and Speech Modelling

·       Music Analysis and Synthesis

·       Natural Language Processing

·       Advanced Natural Language Processing

·       Artificial Intelligence

·       Information Retrieval

·       Advanced Robotics Systems

·       Multi-platform Game Development

*All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.



Read less
to meet the potential gap for data analysis professionals around the world,. to prepare graduates to work with data in the business environment,. Read more

Course aims

•to meet the potential gap for data analysis professionals around the world,
•to prepare graduates to work with data in the business environment,
•provide a route for students in their transition from undergraduate study to employment in data-led sectors,
•provide the opportunity to gain practical experience in databases (and achieve two professionally accredited certificates) and a rigorous understanding of applied statistics, data mining, operational research and related areas.

This is a year-long programme including two terms of taught modules, succeeded by project work during the summer term.

1st term will include course work on:
• 3 core modules --Scientific Computing, Mathematical Modelling, Programming in C++ & Advanced Algorithms AND
•1 optional module—1 out of Generalized Linear Models, Financial Mathematics, Internet & Cloud Computing).

2nd term is similar in design with:
•3 core modules--Operational Research, Data Mining & Neural Networks, Financial Services Information Systems AND
•1 optional module—1 out of Computational Methods for PDEs, Applied Statistics, Further Statistics, Game Theory, Design & Analysis of Algorithms.

Read less

Show 10 15 30 per page



Cookie Policy    X