Name: MSc Artificial Intelligence
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MSc Artificial Intelligence

Studying Artificial Intelligence at postgraduate level is an exciting and hands-on opportunity to explore how computing and machinery are completely changing the landscape of business as we know it.

Designed by our academic experts and industry specialists this degree will help you develop a deep understanding of how to work collaboratively in this dynamic and fast evolving branch of computer science. From business intelligence to robotics and machine learning to AI there are plenty of avenues that will be open to you with our postgraduate qualification.

Why Study AI at BNU?

Cutting-Edge Curriculum

You'll dive into a curriculum that covers the latest in artificial intelligence. You'll be equipped with highly sought-after skills for the tech industry. This course opens up diverse career paths in AI, data science, and beyond, supported by dedicated career services that help you land your dream role.

Hands-On Practical Learning

You'll gain hands-on experience with real-world projects and lab sessions that let you apply your AI knowledge. Working with industry-standard tools, you'll build a practical portfolio and refine skills that prepare you for the fast-paced world of AI and data science.

Industry Expert Academics & Mentoring

You’ll be taught by seasoned industry professionals, who provide personalised mentoring alongside tailored career guidance. From one-to-one sessions and hands-on workshops to networking events that connect you with key industry players, you will receive the insights and tools you need to help you master complex AI techniques, ensuring you feel confident tackling industry challenges. This comprehensive approach not only hones your technical skills but also builds professional connections and practical know-how, ensuring you’re well-prepared for a career in AI.

You will be taught by academics at the forefront of their field either through their research or professional practice. Find out what research your lecturers are currently involved in.

Industry Connections & Networking

You'll benefit from strong industry links through guest lectures, workshops, alumni, and networking events. These connections with leading AI companies and professionals open doors to internships and exciting career opportunities, enhancing your industry insight.

Emphasis on Ethical & Responsible AI

You'll explore the ethical, social, and legal dimensions of AI, learning how to develop responsible technology. This focus ensures you not only advance your technical skills but also contribute to creating fair and sustainable AI solutions.

What facilities can I use?

BNU has invested in our facilities to ensure that you can learn on industry standard systems and software, meaning that you can make an easy transition from education into employment. Quite simply we are committed to making sure we provide you with the best learning experience possible.

We make sure we keep the University’s computing facilities well maintained and equipped. We have a range of large labs, most filled with dual-screen, dual boot (Windows and Linux) systems. Latest industry standard software is also included on devices to allow you to develop your skills to what is needed in the workplace.

Labs have been custom built to provide the best spaces to nurture the specific skills needed for game and internet development. These allow you to build your skills within key areas of future employment.

What will I study?

Our MSc in Artificial Intelligence is designed to help you to develop the technical skills and knowhow that many companies are looking for in an AI specialist.

You’ll study areas such as machine learning and artificial neural networks, data analysis, expert and fuzzy systems, which underpin AI systems development. However, this course also has its roots firmly in the field of computer science so you will also implement artificially intelligent machines, whether these are in the form of knowledge-based systems, intelligent agents or robots. In addition, throughout the course you will be encouraged to adopt recognised software engineering principles, which form the foundations of system development. We will also make sure that you have plenty of opportunity to put professional and ethical practices into action, including the appropriate adoption of software engineering principles.

The programme is distinctive in that as well as providing students with a strong theoretical background in AI, it also includes a significant practical element so students will learn to use a range of AI-related tools and professional development platforms. Furthermore, you are given the opportunity to understand and consider the role of AI in the wider, social context as well from the point of view of potential employers.

Across the course you will study a wide range of important components from theoretical concepts, critical and computational thinking, and the practical use of a range of AI-related software tools to examine real-world problems and challenges. You will also have the chance to explore the role of an AI expert in social and professional contexts.

Not only will you be learning vital information, you will be learning from innovative, forward-thinking and highly motivated expert lecturers. Our lecturers have close industrial links and all work together to ensure that you have the best possible enriched and stimulating learning environment.

How will I be taught and assessed?

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.

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 continuing help and guidance throughout the programme of study.

We are dedicated to giving you hands-on and real-world experience through welcoming guest lecturers, working with companies on live briefs and projects and organising external visits to industry.

There will be a variety of assessments across your course, which will give you a thorough understanding of the various situations you may come across during your professional life. You will undertake:

written assignments
practical exercises
presentations
individual and group tasks
exams.

The Dissertation represents a major piece of independent research focused on some significant problem, which can be linked to some current business challenge or your own career aspirations. Formal and informal feedback on your work is regularly provided to support and direct your learning and development.

Useful Documents

What are the course entry requirements?

Applicants will be assessed on their academic qualifications although previous experience and interest in computing, IT, business or management is desirable.

A typical offer will include 2:2 honours degree or equivalent qualification in computing, web development, computer sciences, software engineering, system engineering, mathematics with computer science, physics with computer science or a related discipline.

Applicants who don’t meet the above requirements but have technical/management experience in industry could be considered (subject to interview).

General Postgraduate Requirement for IELTS - 6.5 (6.0).

Modules

This provides a guide of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.

Year 1

Core Modules

Credits

Introduction to Applied Artificial Intelligence

20

Credits: 20

You'll examine the historical & intellectual development of AI and key theories & technologies of AI. You'll study how systems employing these technologies are built, the kinds of problems that can be solved using “intelligent” techniques, the kinds of intelligence that may be used in different contexts and the design & creation of these systems.

Robots and Robotic Systems

20

Credits: 20

The science of robotics is only now developing as an amalgam of different disciplines including mechanical and electrical engineering, computer science, mechanics, mathematics, physiology, and neuroscience. This module will give you a flavour of each of these disciplines and an idea of what may be achieved when they are combined in single device.

Project

60

Credits: 60

You'll carry out an individual in-depth investigation of a cyber-security related topic, chosen in consultation with your supervisor, and may involve a local company. It should aim to explore an issue or develop a solution to a problem and involve a mixture of primary and secondary research. You'll produce a proposal and final report.

Optional Modules

Credits

Expert and Fuzzy Systems System Management

20

Credits: 20

You'll look at the theoretical principles and techniques associated with Expert Systems and knowledge-based systems in general. You'll study how to build expert systems, with commonly-used software tools for building ES shells and Fuzzy controllers. You'll also investigate the differences between how humans and machines approach the same problem.

Natural Language Processing

20

Credits: 20

Natural Language Processing is a branch of AI that looks at the use of computers to process human language. This module introduces the subject of Linguistics to those with little or no background in the subject. You'll study and develop various computer programs and systems that illustrate some of the basic concepts and techniques in the field.

Machine Learning and Intelligent Agents

20

Credits: 20

Discover the area of Machine Learning (ML) & origins of ML in cognitive science. You'll look at the evolution of Artificial Neural Networks & implement systems to learn about key principles. You'll study intelligent agents, their software architectures, methodologies & programming languages, & software tools for applying & evaluating agent systems.

Data Science

20

Credits: 20

This module introduces the fundamentals of the emerging field of data science. You'll study key concepts found in statistical analysis and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building expert/recommender systems.

Legal and Ethical Consideration in Artificial Intelligence

20

Credits: 20

You'll look at the implications of the rapid advances in AI and Data Science and the more ponderous pace of developments in the legal and ethical spheres. You'll study the legal requirements businesses and individuals need to operate under, e.g. data protection and privacy and consider the question of control and ethics in the area of AI agency.

Cyber Security Assurance and Risk Management

20

Credits: 20

You'll study risk management and cyber security assurance, and the relationship between and management of threat, risk and impacts. You will be given the opportunity, through case studies, to formulate and apply theoretical and example models to solve problems within the context of their own business environment.

What are the tuition fees

Home

Home, Academic Year 2025 - 2026: £10,990 per year *

International

Overseas/International, Academic Year 2025 - 2026: £15,550 per year *

Following the Government’s announcement of 4 November 2024, we will be increasing our full-time undergraduate tuition fees for UK students to £9,535 per year from the start of the 2025/26 academic year. Our part-time fees for UK undergraduate students will increase to £7,145 per annum. Please visit , on the Government’s website, for more information about the changes.

Tuition fees for Home undergraduate students (including with foundation year) may increase in subsequent years for both new and continuing students in line with an inflationary amount determined by the Government.  

Tuition fees for both new and continuing international students may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year.  

Tuition fees for postgraduate courses and CPD may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year. This increase will apply to both new and continuing students.  

We understand, and really appreciate, the significant financial commitment our students make when they choose to study at BNU. We take our responsibilities to our students very seriously, and are ambitious for each to reach their full potential and succeed in their chosen career. Our fees help us to continue providing our students with a high-quality education, and to invest in the services and facilities which create an excellent student experience at BNU.

The following factors will be considered by the University when we set the annual fees: measures of inflation such as the retail price indices; projected increases in University costs; and any changes in the level of funding for teaching received from the Government.

Additional course costs and financial support

Most courses will involve some additional costs that are not covered by your fees.
You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

What are my career prospects?

Throughout your time with us we will support you on the route to your chosen career. Helping you to develop crucial skills, encouraging you to become enterprising, employable and good leaders.

AI specialists are currently in great demand globally across a range of sectors. This pattern is expected to continue as AI becomes embedded further as part of technological developments.

The curriculum has been carefully designed such that graduates from this programme can expect to progress into a variety of industry roles, such as:

Machine Learning Engineer – building and managing platforms for machine learning projects.
Business Intelligence Developer – designing, modelling, and maintaining complex data in cloud-based data platforms.
Artificial Intelligence Architect – providing AI solutions to help businesses grow.
Robotics Scientist – building and maintaining software for robots that do tasks normally reserved for humans.

Did you know?

We are one of the top 10 UK universities mostly likely to produce graduates who go on to own or manage a business (Capital on Tap, 2021), about this excellent news.