MSc Artificial Intelligence Technology

The MSc Artificial Intelligence Technology develops advanced skills in artificial intelligence, machine learning, cloud computing, cybersecurity, and software development. Students gain practical experience using industry-standard tools and complete real-world projects, preparing them for careers in AI engineering, cloud technologies, data science, and digital innovation.

The MSc Artificial Intelligence Technology is designed for graduates who want to develop advanced knowledge and practical skills in artificial intelligence. The course covers programming, machine learning, cloud computing, artificial intelligence for the Internet of Things (IoT), cybersecurity, software development, and digital technologies. Students learn how to design, build, and deploy AI solutions using industry-standard tools and cloud platforms such as Google Cloud and AWS. Teaching combines lectures, workshops, tutorials, and practical activities to help students solve real-world computing problems. The programme also develops research, communication, critical thinking, and professional skills needed in the technology industry. A major research project allows students to apply their learning to a real AI challenge. By the end of the course, graduates will be prepared for careers in artificial intelligence, software development, cloud computing, and other advanced technology roles.
Applicants should have a minimum 2:2 honours degree, or an equivalent qualification, in any subject. The course welcomes graduates from a wide range of academic backgrounds who want to build a career in artificial intelligence and digital technologies. Applicants whose first language is not English must have an IELTS score of 6.5, with no individual component below 5.5, or an accepted equivalent qualification. Applications are considered individually, and relevant work experience may also be taken into account where appropriate. Students should have an interest in technology, problem-solving, and innovation to benefit fully from the programme.
Job prospects:
Artificial Intelligence Engineer
Machine Learning Engineer
AI Solutions Developer
Cloud Engineer
AI Software Developer
Data Scientist
Data Analyst
AI Research Assistant
IoT Solutions Developer
Computer Vision Engineer
AI Consultant
Digital Technology Specialist

Modules

Information Governance and Cyber Security
Contemporary Computing and Digital Technologies
Artificial Intelligence for IoT
Machine Learning on Cloud
Professional Practices in Computing and Digital Technologies Project (60 credits)

Location

FAQs

What our Students Say

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Exploring Course Options

For prospective students deciding which university course to enrol in, we recommend starting by evaluating your interests, strengths, and career aspirations. Consider the subjects you're passionate about and where your skills lie—choosing a course aligned with these factors can lead to a more rewarding academic and professional journey.

We can help you review course descriptions and explore unique opportunities such as internships, industry connections, and special projects. Understanding what each program offers will support you in identifying the course that best fits your career goals.

Finally, we encourage you to reflect on personal preferences such as the university’s location, campus facilities, and overall environment, as these can greatly influence your university experience.

Student Stories

Valerian discovered us through personal connections and his own independent research. He appreciated the ease of dropping in for a conversation with one of our student advisors, which helped him clarify his goals.

Valerian was seeking a program that offered a strong balance between practical and theoretical training in drama. Equally important to him were the campus environment, student life, and location. He wanted a university that provided valuable networking opportunities.

With our guidance, Valerian was able to carefully weigh these factors and ultimately choose a course and university that aligned with all of his priorities.

What should I expect during the initial consultation & FAQs

The initial consultation begins with a discussion about your academic background, career goals, and personal interests. This allows the advisor to understand what you're looking for. They’ll then provide information on suitable universities and courses, share insights into campus life and career opportunities, and guide you through the application process—including key deadlines and entry requirements. They also offer tips for writing a strong personal statement. Students should be ready to provide personal details, academic records, an up-to-date CV, and a personal statement explaining their reasons for applying. Our students say we were fully transparent about potential challenges, offered various campus options and teaching styles, and made them feel like a priority. They appreciated having enough time to choose their course and university without pressure.

Student Stories

Our students consistently say they would recommend our services to future applicants. They felt supported and at ease throughout the entire process, from the initial consultation to the final stages of choosing a course and submitting their application. Many appreciated the friendly, approachable nature of our team and the clear, honest advice they received at every step. We ensure each student feels listened to, valued, and never rushed into making a decision. Our support is tailored to individual needs, providing guidance, reassurance, and encouragement along the way—helping students move forward with clarity and confidence.