Intelligence Analysis and Management
UCAS Code: IAM1
Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
UCAS Tariff
A typical offer will require a UCAS Tariff score between 80 - 104. A minimum of two full A-levels (or equivalent) is required. Every application is considered on an individual basis. For further details of our international English entry requirements, please visit our international pages.
About this course
The analysis of intelligence and the management of those who undertake that analysis are important and fundamental processes for both public and private sector organisations. Whether you’re looking to focus on developing a career in intelligence, or you already have some experience and wish to formalise this with an academic qualification, this three-year full-time course will develop your knowledge, understanding and capabilities ready for progression in a variety of sectors.
In the organisational context there are many influencers and other issues which will drive the requirement for intelligence about the issues and threats which may have adverse or positive effects and impacts. The organisation that values and manages intelligence carefully will be better prepared than that which does not look at potential issues and fails to develop information into a usable and valuable basis for action. The requirements for each organisation will be different based upon the operational, social and adversary context and will need to involve detailed analysis.
In organisations that take an intelligence-led approach - corporates, businesses, law enforcement, military and governments - it is argued that there is a higher level of awareness and by implication preparedness and resilience. Also, with the seemingly ever-increasing range of information and intelligence sources that organisations can draw upon, the importance of developed intelligence analysis capability becomes even more clear.
Tuition fees
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The Uni
Buckinghamshire New University
School of Aviation and Security
What students say
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computing
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£25k
£33k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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