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Buckinghamshire New University

Intelligence Analysis and Management

UCAS Code: IAM1

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


UCAS Tariff

80

About this course


Course option

3.0years

Full-time | 2020

Subject

Artificial intelligence

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.

The Uni


Course location:

Buckinghamshire New University

Department:

School of Aviation and Security

TEF rating:

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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.

Computing

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?

88%
UK students
12%
International students
82%
Male students
18%
Female students
75%
2:1 or above
11%
Drop out rate

Most popular A-Levels studied (and grade achieved)

E
E
C

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.

Computing

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.

£20,000
low
Average annual salary
83%
low
Employed or in further education
96%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

22%
Information technology and telecommunications professionals
11%
Artistic, literary and media occupations
11%
Design occupations
What do graduate employment figures really tell you?

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.

Artificial intelligence

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£19k

£19k

£21k

£21k

£25k

£25k

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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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

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This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

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:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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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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