Computing with Artificial Intelligence Technology
Northumbria University, Newcastle
UCAS Code: G515 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
UCAS Tariff
Year One (Level 4): Find out how many points your qualifications are worth by using the UCAS Tariff calculator: ucas.com/ucas/tariff-calculator GCSE requirements: Maths and English Language at minimum grade 4/C, or an equivalent. Year Two (Level 5) HNC or equivalent Level 4 qualification in an computing or IT subject area Year 3 (Level 6) HND or Foundation Degree in a computing or IT related field. Applicants holding a relevant computing or IT qualification in addition to one of the following: DipHE, any Level 5 award such as Certificate, Diploma or NVQ, will also be considered. International entry equivalencies: We accept a wide range of international qualifications. Please visit our entry requirements page for country-specific qualifications.
About this course
**Overview**
Gartner included AI in its top strategic technology trends for 2021. Similarly, PWC estimates that AI could deliver a 10% increase in UK GDP by 2030. Also, the UK’s National AI Strategy is set to support jobs and economic growth through significant investment in AI infrastructure, skills and innovation. Indeed, the UK AI Council has published AI roadmap and recommended UK government to scale up and commit to AI skill building programme to address skills shortages of AI professionals.
The BSc (Hons) Computing with AI Technology will provide you with a recognised undergraduate qualification which combines a wide range of computing subject areas with Artificial Intelligence Technology.
It is also attractive to learners who have related IT work experience but do not hold a first degree as they provide an opportunity to achieve an academic qualification in a subject area in which they are familiar. Indeed, there is a need in the market for those with such qualifications and the programme can prepare you for a range of careers in artificial intelligence, including machine learning on cloud and programming for AI applications.
**Key facts**
Learn AI Programming and develop understanding of IoT peripherals, IoT data analytics and overall understanding on how to incorporate local machine learning (ML).
Deploy machine learning models using platforms such as Google Cloud or AWS
Satisfy the educational requirements of the BCS, The Chartered Institute for IT for professional membership
Top up your existing qualification to a UK honours degree with direct entry onto Level 5 or 6
**What will I study?**
To accelerate your learning, you will be exposed to theories and principles relating to the design, development and testing of software using AI. You will be exposed to the in-depth concepts, principles, technologies, and techniques to train and deploy distributed machine learning models using cloud-based platforms such as Google Cloud or AWS. You will subsequently be able to apply this knowledge and skill in your own context, and subsequently critically analyse the implementation and recommend potential future improvements.
You will additionally develop understanding of the typology of innovation, how firms leverage internal and external resources to compete in the digital environment, and how to plan for innovation in any organisation.
Modules
For a full list of the modules on your course, please access the course pages at https://london.northumbria.ac.uk/
Assessment methods
Teaching is delivered through a mix of lectures, workshops, lab sessions, seminars, tutorials, case studies, guest/expert input, and task-based learning in guided and independent study, totalling between 4-14 hours per week (plus project work on Levels 5 and 6)
You’re expected to engage in independent study, around 30 hours per week
Assessments take place through mix of coursework and exams, including quizzes, tests, mock exams, practical lab exercises, presentations, Q&A and discussions, formal exams, critical report writing and in-class tests.
Taught by experienced lecturers and academics who use their industry experience to demonstrate how theories translate into real-life situations
Technology-enhanced learning (TEL) is embedded throughout the course to guide your preparation for seminars and independent research
Benefit from weekly academic support sessions designed to build your ability and confidence as an academic learner
You will be assigned a guidance tutor at induction who you will meet regularly during your studies
The Uni
Northumbria University London Campus
Computer and Information Sciences
What students say
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How do students rate their degree experience?
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Computer science
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After graduation
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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
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£26k
£36k
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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