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.
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.
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
Advanced Practice options
Modules offered may vary.
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.
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.
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.
Compulsory modules
Optional modules
In addition students must choose two optional modules from the list below.
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
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.
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.
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.
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
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.
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 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.
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.
PgDip and MSc core modules
MSc only
Modules offered may vary.
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.
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.
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.
The following modules are indicative of what you will study on this course.
Core modules
Option modules
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.
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.
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.
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.
The following modules are indicative of what you will study on this course.
Core modules
Option modules
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.
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.
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.
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.
• 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.
MSc Artificial Intelligence is currently available for one year full-time study or two years part-time study.
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 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
· Computational Intelligence and Games
· Machine Learning
· Data Mining
· MSc Project module
· 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.
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