MSc Artificial Intelligence and Robotics with Advanced Project

Why choose Herts?

Industry Accreditation: Accredited by the British Computer Society (BCS) enabling graduates to register at The Chartered Institute for IT as a chartered IT professional.
Career impact: 96% of postgraduates in work/study (Graduate Outcomes, 2025)¹
Real-world project skills: Complete a team-based project in an industry-style environment designed to reflect industry practice, helping you develop the collaboration, leadership and delivery skills needed in professional roles.

For admission to MSc Artificial Intelligence and Robotics with Advanced Project, you should have a good honours degree (or equivalent) in computer science or similar discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.

Applicants whose first language is not English must demonstrate sufficient competence in the language to benefit from the postgraduate degree. This is normally demonstrated with an overall IELTS score of 6.0 or an equivalent award. Candidates who do not satisfy these requirements will be considered on a case-by-case basis.

The course is subject to the University's Principles, Policies and Regulations for the Admission of Students to Undergraduate and Taught Postgraduate Programmes (in UPR SA03), along with associated procedures. These will take account of University policy and guidelines for assessing accredited prior certificated learning (APCL) and accredited prior experiential learning (APEL).


Institution code	H36
Course length	Full Time, 2 Years
Location	University of Hertfordshire, Hatfield

Employability

What job can I get?

You will develop the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research, helping you progress into advanced computing and technology roles.

The MSc Artificial Intelligence and Robotics with Advanced Project course will enable you to design, develop and evaluate intelligent systems, combining theoretical knowledge with practical implementation skills.

Graduates secure careers in areas such as machine learning engineer, AI developer, robotics engineer, data scientist, or intelligent systems designer across sectors including technology, healthcare, finance, manufacturing, and government.

Professional Accreditations

Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

About the course

The MSc Artificial Intelligence and Robotics with Advanced Project is designed for graduates who want to specialise in artificial intelligence and robotics. You will explore key concepts, tools, and techniques used in intelligent systems, gaining both theoretical understanding and practical skills.

The course is designed for graduates who want to develop advanced technical knowledge and practical experience in artificial intelligence and robotics across both theoretical foundations and practical application. You will explore key areas such as intelligent systems, machine learning, neural computation and robotics, developing the skills needed to design, implement and evaluate advanced AI-driven technologies.

You will also complete both an individual MSc project and an additional Advanced Project module.

One of a range of taught master’s courses offered by the Department of Computer Science. The course offers three award routes that you can choose to study:

MSc Artificial Intelligence and Robotics
MSc Artificial Intelligence and Robotics with Extended Professional Practice
MSc Artificial Intelligence and Robotics with Advanced Project

Why choose this course?

Through the MSc Artificial Intelligence and Robotics with Advanced Project, you will develop advanced technical knowledge alongside the collaborative and project management skills increasingly valued in senior computing roles. The Advanced Project route gives you the opportunities to work as part of a multidisciplinary team on a large-scale project, helping you build experience of delivering complex solutions on a professionally focused environment.

One of a range of advanced courses within our postgraduate master's degrees in computer science, the MSc Artificial Intelligence and Robotics with Advanced Project will help you develop the advanced technical knowledge and practical skills needed for specialist and senior roles in areas such as artificial intelligence, robotics and intelligent systems.

You will study advanced topics including artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence.

You will learn from a highly regarded and long-established computer science department with strong links to business, where 90% of its research is ranked as world-leading (Research Excellence Framework, 2021).

7th for engineering and technology in the Postgraduate Taught Experience Survey (PTES, 2024).

¹from 2022/23 graduates, in employment or further study 15 months after graduation.

What will I study?

You will explore advanced topics including machine learning, neural computation, intelligent systems and robotics, developing the skills needed to design and implement intelligent computing solutions

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible.

Alongside taught modules and individual MSc project, you will complete an Advanced Project module. This includes both taught content in project management and teamwork, and a team-based project where you will collaborate with other students to deliver a complex, predefined project.

Level 7

Module	Credits	Compulsory/optional
Data Engineering for Team Projects (Data Science & AI)	15 Credits	Compulsory
In this module, you will develop your theoretical, professional, technical, and academic skills to help you succeed in various data engineering contexts. You will take a practical approach to converting raw data into valuable knowledge. Working in teams, you will apply skills in cloud computing, big data, Machine Learning, and data visualisation, among others.
Theory and Practice of Artificial Intelligence	15 Credits	Compulsory
In this module, you will gain an in-depth understanding of a range of ideas, theories, and techniques used to construct Artificial Intelligence systems. You will focus on evaluating AI systems for tasks such as intelligent modelling, problem-solving, learning, decision-making, reasoning, agent or robot control, and more. You will also develop hands-on experience in designing and evaluating AI models tailored to address specific scenarios.
Advanced Project	60 Credits	Compulsory
This module has two delivery elements. For the taught element, you will learn how to build and manage strong teams, foster communication and trust, understand the intricacies of large-scale projects, understand project management methodologies and tools, set up and structure activities that run in parallel, and manage change requests from different stakeholders. For the project element, you will operate within a secure, semi-structured environment, participating in teams and working towards the completion of a large-scale, complex, and multidisciplinary project.
Robotics	15 Credits	Compulsory
In this module, you will take a deep dive into the dynamic field of robotics, focusing on the design, simulation, and implementation of robotic systems. You will explore key concepts such as robotic kinematics, dynamics, sensor integration, and advanced programming. Practical sessions in simulation environments will complement your theoretical knowledge, preparing you for complex tasks like navigation and autonomous manipulation. Emphasis will be placed on both the intellectual and practical aspects of robotics, ensuring you are well-prepared for advancing technology in industrial applications.
Neural Networks and Machine Learning	30 Credits	Compulsory
In this module, you will study a selection of research topics centred around neural network theory and design, Machine Learning, including supervised and unsupervised learning, and some interesting applications such as data mining, biocomputation, evolutionary algorithms, neural networks as models of brain function in health, disease and development, and data visualisation. The actual topics taught may vary from year to year.
Responsible Technology	15 Credits	Compulsory
In this module, you will explore legal, social, ethical, and professional issues that may affect the work of practitioners in the computing and technology sectors. You will focus on the ethical considerations inherent in the development of responsible technologies. The topics covered will vary from year to year to reflect contemporary research and issues.
Artificial Intelligence and Robotics Masters Project	60 Credits	Compulsory
The project module includes both a taught and a non-taught component. During the taught part, you will cover the following topics: Project plan development, Project risk assessment, Ethics and working with human participants, Problem analysis and decision-making, Literature review, Conducting investigative work, Documenting a project, and Report writing and presentation. In the non-taught part, under the guidance of a supervisory team, through a series of scheduled meetings lasting up to 6 hours, you will work towards completing a project in Artificial Intelligence and Robotics.
Robotics Team Project	30 Credits	Compulsory
In this module, you will work in teams to design, construct, program and test a robotics platform in a virtual environment. Furthermore, you will learn about Human-Robot Interaction and the current state-of-the-art linking research to teaching. Skills that will be developed on this module include CAD, modelling, robot control (control systems design and programming) and knowledge of Human-Robot Interaction research. This is a practical, hands-on module designed to replicate real-world challenges in a simulated environment.

Further course information

Programme specifications
MSc Artificial Intelligence and Robotics with Advanced Project - Full Time, Sem B	Download
MSc Artificial Intelligence and Robotics with Advanced Project - Full Time, Sem A	Download

Additional information
Sandwich placement or study abroad year	n/a
Applications open to international and EU students	No

Student experience

At the University of Hertfordshire, we want to make sure your time studying with us is as stress-free and rewarding as possible. We offer a range of support services including; student wellbeing, academic support, accommodation and childcare to ensure that you make the most of your time at Herts and can focus on studying and having fun.

Find out about how we support our students

Funding and fees
Other financial support

Find out more about other financial support available to UK and EU students

Fees 2026
UK Students
Full time
- £15120 for the 2026/2027 and 2027/2028 inclusive
*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University's Fees and Finance Policy (and in particular the section headed "When tuition fees change"), for further information about when and by how much the University may increase its fees for future years.

View detailed information about tuition fees

Living costs / accommodation

The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.

View detailed information about our accommodation

Read more about additional fees in the Programme Specification.
How to apply

International/EU applicants without pre-settled status in the UK

Apply through our international/EU application portal

Home and EU applicants with pre-settled/settled status in the UK

2026
Start Date End Date Year Location Link
21/09/2026 31/05/2027 1 UH Hatfield Campus Apply online (Full Time)
18/01/2027 31/01/2028 1 UH Hatfield Campus Apply online (Full Time)
2027
Start Date End Date Year Location Link
21/09/2027 31/05/2028 1 UH Hatfield Campus Apply online (Full Time)
18/01/2028 31/01/2029 1 UH Hatfield Campus Apply online (Full Time)

Start Date	End Date	Year	Location	Link
21/09/2026	31/05/2027	1	UH Hatfield Campus	Apply online (Full Time)
18/01/2027	31/01/2028	1	UH Hatfield Campus	Apply online (Full Time)

Start Date	End Date	Year	Location	Link
21/09/2027	31/05/2028	1	UH Hatfield Campus	Apply online (Full Time)
18/01/2028	31/01/2029	1	UH Hatfield Campus	Apply online (Full Time)

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MSc Artificial Intelligence and Robotics with Advanced Project

Why choose Herts?

What job can I get?

Professional Accreditations

About the course

Why choose this course?

What will I study?

Further course information

Student experience

Other financial support

Fees 2026

UK Students

Full time

Living costs / accommodation

International/EU applicants without pre-settled status in the UK

Home and EU applicants with pre-settled/settled status in the UK

2026

2027