Single-handedly revolutionising the workforce and now employing more than 50,000 people alone in the UK, the AI sector is transforming industries, digital innovation, and careers.

Be at the forefront of this field with standout technical skills that empower you to manage data and lead strategic change as organisations embrace AI. Whether you have a technical background experience or not, the University of Huddersfield’s online Applied Artificial Intelligence MSc will allow you to upskill in machine learning, robotics, data mining, systems, and project management at your own pace.  

You'll cover CMI-accredited content, gain real-world experience in current and emerging AI, and earn credits toward a Level 7 Award in Strategic Management and Leadership Practice.

Gain essential change and strategic management tools 

Given how fast technology and the industries that use it are changing, understanding how to manage change is essential. On this degree, you’ll learn about various types of change, from radical to gradual developments, and how it impacts people and organisations.

You’ll acquire effective planning and project management skills to manage change more effectively and mitigate risk. 

You’ll also critically explore how to manage strategic information at scale, helping you understand how to leverage data to support leadership decisions that align with broader goals.

Dive into cutting-edge AI technologies

Next, you’ll immerse yourself in frontier AI and build your knowledge in robotic devices and autonomous applications. 

Through a series of investigative tasks and practical sessions, you’ll learn the essential techniques behind designing and developing robotic systems, setting you up to build and program your own software for intelligent autonomous robots.

You’ll also adopt a range of machine learning (ML) techniques now used in a range of applications. You’ll gain a comprehensive understanding of the subject, and by the end of this learning, you’ll know how to embody machines with the ability to recognise, classify, decide, plan, and optimise.

You’ll examine widely used data-driven approaches, including deep learning, and explore industry-standard tools for model-driven machine learning.

 Apply your AI skills in practice

To ensure you’re prepared the moment you graduate, this online degree offers ample opportunities to apply your learning in real-time.

You’ll work through case studies in data analytics and artificial intelligence, broadening your understanding of the historical, current, and future application of both fields.

You’ll also complete an independent project, giving you the chance to tackle a real-world challenge, either with an external client or through internal research projects. This project allows you to integrate your learning, demonstrate your skills, and further develop your expertise in AI and data analytics.

Learn online with the University of Huddersfield’s AI experts 

This degree offers the unique opportunity to hear from AI experts in real time, with the flexibility to study from anywhere in the world.

You’ll learn with the University of Huddersfield’s faculty who are actively researching cutting-edge AI applications in industries like healthcare, transportation, and smart cities. 

As a distance learning student, you’ll have access to on-hand specialist staff who’ll support you throughout the duration of your studies. 

What can you do with an MSc in Applied Artificial Intelligence?

With this degree, you’ll be able to apply your expertise to a wide range of industries and career-defining opportunities, such as:

• Robotics programmer

• Machine learning engineer

• Data mining analyst

• Software engineer

• Business intelligence analyst

• AI specialist/consultant

• AI researcher

How will you be assessed?

This hands-on MSc emphasises both theoretical knowledge and practical skills, using a flipped learning approach with recorded lectures and asynchronous activities. 

Assessments, including coursework, quizzes, presentations, and group work, are designed to develop core competencies and professional skills, with flexible topics for investigation and timely feedback to support your personal development and employability.

Is this a part-time or full-time degree?

This is a 180-credit, part-time degree that can be completed over 2-3 years.