Northumbria University Newcastle - Artificial Intelligence BSc (Hons)

Northumbria University Newcastle

Artificial Intelligence BSc (Hons)

Find out how Artificial Intelligence is shaping the future of technology.

As Artificial intelligence (AI) plays an ever-increasing role in helping individuals and organisations deal with new and exciting developments affecting today’s society, our BSc (Hons) Artificial Intelligence course immerses you in an exciting, innovative environment where you will develop your theoretical and technical knowledge and skills which will be directly relatable to your future career. 

You will discover, learn, and master technology that is going change our relationship with computers forever. From intelligent chatbots that ‘understand’ and communicate just like humans, to uncovering information from Big Data that could predict disease and save lives.

Entry Requirements

Standard Entry

120 UCAS Tariff points

From a combination of acceptable Level 3 qualifications which may include: A-level, T Level, BTEC Diplomas/Extended Diplomas, Scottish and Irish Highers, Access to HE Diplomas, or the International Baccalaureate.

Subject Requirements:

There are no specific subject requirements for this course.

GCSE Requirements:

Applicants will need Maths and English Language at minimum grade 4/C, or an equivalent.

Additional Requirements:

There are no additional requirements for this course.

English Language Requirements:

International applicants should have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or an approved equivalent*).

Career Prospects

As a graduate in Artificial Intelligence, you are going to be in high demand. As more and more businesses need to adapt to technological advances, the demand for AI skills increases.

As an Artificial Intelligence graduate, you may wish to enter a career in areas such as Data Analytics, Big Data engineering, AI Engineering, User Experience Design, Data Mining and Analysis, Natural Language Processing for chatbots, Machine Learning, Research, and more. Also, since a growing range of industries require AI skills, you could choose to work in sectors like: Financial services, Healthcare, Technology, Media, Marketing, Government, Military, Agriculture, Gaming, and Retail.

Studying Artificial Intelligence at Northumbria doesn’t limit you to only AI roles, however. With the skills and knowledge gained throughout your course, you may also be qualified for a wider range of careers. For example: Software engineering, Systems analysis and design, consultancy, computer networks, database development and management, Software testing, and IT management.

Course Details

In your first year, you will begin with computer science essentials, studying computational thinking, programming and data, as well as your first AI topic. Thanks to some shared modules, you will get to know other students on our computer science degrees and make connections between the different topics we teach.

In second year, you become a specialist, focusing almost entirely on AI. You will get to grips with AI methods, algorithms, data structures and more. You will also get the chance to spend time on a consultancy project based on real-world contexts, getting real-life experience.

Your final year makes you an expert, ready for the world of work. You study AI topics in depth and complete a group computing project with fellow students. You also complete your dissertation in final year. This is your chance to impress employers by designing, building and evaluating your own AI project.

Year One

AI Fundamentals (Core,20 Credits)
Computational Thinking (Core,20 Credits)
Computers & Society (Core,20 Credits)
Computing Fundamentals (Core,20 Credits)
Data Fundamentals (Core,20 Credits)
Programming (Core,20 Credits)

Year Two

AI Methods (Core,20 Credits)
Algorithms and Data Structures (Core,20 Credits)
Software Architecture (Optional,20 Credits)
Computer Vision (Optional,20 Credits)
Computing Consultancy Project (Optional,20 Credits)
Data Visualization (Optional,20 Credits)
Digital Forensics Incident Response (Optional,20 Credits)
Human-Centered AI (Core,20 Credits)
IT Service Management (Optional,20 Credits)
Mobile & Web App Development (Optional,20 Credits)
Virtual and Augmented Reality (Optional,20 Credits)
Contemporary Issues in Computing and Digital Technologies (Optional,20 Credits)
Developing Digital and Professional Competence (Optional,20 Credits)
London Campus UG Internship (Optional,20 Credits)
London Campus Undergraduate Professional Practice (Optional,20 Credits)
London Campus UG Group Consultancy Project (Optional,20 Credits)

Year Three

Year in International Business (This is made up of modules studied in Newcastle (Semester 1) & Amsterdam (Semester 2) (Optional,120 Credits)
Year in International Multidisciplinary Innovation (4 modules studied in Amsterdam (Semester 1) & Newcastle (Semester 2) (Optional,120 Credits)
Work placement year (Optional,120 Credits)
Study abroad year (Optional,120 Credits)

Year Four

Computing Project (Core,40 Credits)
Computing Group Project (Core,20 Credits)
Data Analytics (Optional,20 Credits)
Data Security and Governance (Core,20 Credits)
Evolutionary Computation (Optional,20 Credits)
Machine Learning (Core,20 Credits)
Robotics & Automation (Optional,20 Credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

Are you ready to start building your future?

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