Computing with Artificial Intelligence Technology

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.

For a full list of the modules on your course, please access the course pages at https://london.northumbria.ac.uk/

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