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Computer Science with Artificial Intelligence

Entry requirements


A level

C,C,D-B,C,C

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

MMP-DMM

UCAS Tariff

88-112

A typical offer will be a UCAS Tariff score of 88 - 112. A minimum of two full A-levels (or equivalent) is required. Every application is considered on an individual basis.

About this course


Course option

3years

Full-time | 2024

Subject

Artificial intelligence

AI is transforming industry – and the world we live in. Experts are applying their skills to improve care in hospitals, control robots in space, help companies understand buying habits, and more. By 2035, it’s predicted that AI activity could be worth an impressive £630 billion in the UK. A degree in this field will help give you the skills and knowledge you need to help play your part in shaping the future.

Explore AI from its history to philosophy and what it can and can’t do. You'll study machine learning, artificial neural networks, and data analysis and use industry tools including MATLAB and Jason. Consider ethics of AI and debate the benefits and challenges posed by AI developments.

**Why study at Buckinghamshire New University?**
BNU is invested in you and your future. We ensure that our courses are designed with you and industry in mind, so that you can graduate confident that you can make competitive job applications post-university. We know that the industry is constantly changing and rapidly evolving, which is why we are committed to implementing new and improved technologies in our topics, teaching and facilities.

We’ve created our Computer Science degree to help you design and programme systems capable of solving real-world challenges. Our course is a part of our strong Computing school, and you’ll be taught by a team of expert lecturers who have vast experience of working in their respective fields. To further enhance your education, we invite in guest lectures to share their experience and expertise.

Opportunity modules are a key part of the BNU curriculum. You’ll choose modules in both your first and second year from a broad selection in areas such as sustainability, entrepreneurship, creativity, digital skills, personal growth, civic engagement, health & wellbeing and employment. Opportunity modules are designed to enable you to develop outside the traditional boundaries of your discipline and help you to further stand out from the crowd to future employers.

**What will I study ?**

Take a deep dive into the world of AI and understand how machines search, reason and problem solve. At the same time, we’ll also explain the role of classical logic in machine intelligence, algorithms to search state spaces, and natural language processing systems. Then we’ll put your knowledge to the test. In workshops, you’ll work as part of a team to build AI machines – whether these are in the form of Expert Systems, Intelligent Agents or robots. This degree is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco.

You'll acquire a broad range of skills covering computation theory, fundamentals of computer science, compliers and operating systems, basic programming, software development and testing, web applications and databases, algorithms and data structures, whilst building secure web and mobile applications, alongside analysing life-critical systems. From your first day and onwards, you are with us, you will be studying topics ranging from, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science.

We aim to provide a balance of theory and practice and opportunities to apply knowledge into real projects where possible. You will acquire a wide range of skills and competences such as the ability to think critically about real-world problems. You will be exposed to a variety of computing discipline areas, so that you will then be able to select and apply appropriate principles, theories, best practices and appropriate technologies to address the needs of different business contexts, users, customers and stakeholders.

Modules

**Year one**
**Core Modules**
Programming Concepts
Computer Architecture
Networks
Web Development
Computational Fundamentals

**Opportunity Modules**
2 x 10 credit year one Opportunity

**Year two**
**Core Modules**
Machines and Their Languages
Planning, Search and Artificial Intelligence
Research Methods

**Optional Modules**
Introduction to Natural Language Processing
Computer Science
Algorithms and Data Structures

**Year three**
**Core Modules**
Autonomous Robotic Systems
Extended Independent Work

**Optional Modules**
Legal Aspects of IT
Data Science
Knowledge-Based Systems in Artificial Intelligence
Learning Machines and Intelligent Agents

Assessment methods

At Buckinghamshire New University we like to foster an interactive and student-focused teaching style where we have a combination of formal lectures, tutorials, practical lab sessions, seminars and guest speakers to enhance the learning experience.

We like to design our course to reflect the workplace so you will have the opportunity to carry out independent study, supported through distance learning technologies such as Blackboard, our Virtual Learning Environment. We will also provide reading lists and suggested resources to enhance independent study.

You are more than a number at BNU, and we are here to support you through your education journey. We have in place regular contact hours with our tutors and provide you with informal feedback throughout the programme of study.

Over the years of your course you will be assessed and graded in a multitude of ways to allow you to develop and expand on your abilities and skills. Assessments for the various modules will mostly take the form of practical coursework, lab tests and written exams, with the focus being on testing the practical application of the various concepts and techniques being conveyed.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£15,000
per year
International
£15,000
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

Extra funding

Buckinghamshire New University offers a range of bursaries and scholarships. For more information, please visit https://www.bucks.ac.uk/study/fees-and-funding/financial-support-bursaries-and-scholarships

The Uni


Course location:

Buckinghamshire New University

Department:

School of Creative And Digital Industries

Read full university profile

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.

Artificial intelligence

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?

72%
UK students
28%
International students
82%
Male students
18%
Female students
60%
2:1 or above
29%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
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.

Artificial intelligence

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

Top job areas of graduates

22%
Information technology and telecommunications professionals
11%
Artistic, literary and media occupations
11%
Design occupations

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.

£22k

£22k

£21k

£21k

£26k

£26k

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 what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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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).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

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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