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Crime Intelligence and Data Analytics MSc

Crime Intelligence and Data Analytics MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Criminology

Course type

Taught

Course Summary

Course overview:

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.

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.

Different course options

Full time | Teesside University | 1 year | 21-SEP-20

Study mode

Full time

Duration

1 year

Start date

21-SEP-20

Modules

You learn basic coding with teaching geared to providing support to first-time coders. Coding is primarily about data analysis, cleaning and merging data before it?s visualised in charts and tables. Learning some scripts to manipulate tabulated data is a valuable skill ? and will become increasingly valuable when dealing with big data. You learn the principles of the programming language Python and how it can be used to change, group and strip out irregularities in data frames.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£6,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£13,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Applicants are normally expected to have at least a 2.2 UK honours degree, or equivalent qualification. A range of degree subjects are acceptable including subjects in the physical sciences, crime scene and forensic science. Social science graduates are particularly welcome for example, criminology, policing, sociology and the humanities.

University information

Based on its vibrant campus in the heart of Middlesbrough in North East England, Teesside University is a friendly, modern university offering a broad portfolio of courses. The University has recently invested more than £270m in its town-centre campus giving it a leading edge in digital innovation, forensic facilities and sport and health sciences buildings. The University is investing an additional £300m over the next ten years to further...more

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