MSc Applied Artificial Intelligence (AI)

Postgraduate

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MSc Applied Artificial Intelligence (AI)

MSc in Applied Artificial Intelligence (AI) offers a unique opportunity to bridge cutting-edge theory with transformative real-world impact. As AI contributes to reshare industries globally, this programme equips students with technical expertise and ethical grounding needed to design and develop intelligent solutions to meaningful problems.

Students completing a domain -specific project focused on AI within healthcare settings will graduate with MSc Applied Artificial Intelligence with Healthcare Innovation.

What does this course cover?
The MSc Applied Artificial Intelligence programme emphasises significantly on practical implementation of solutions, preparing graduates for advanced roles in AI research, development and deployment. Students will also gain essential skills in academic writing, research methodology, and project management, culminating in an independent dissertation or applied project in the final semester.

Graduates will be able to:
Understand and apply machine learning, deep learning and data science techniques to real-world problems.
Evaluate ethical, legal and societal implications of AI in real-world applications.
Design and implement end-to-end AI systems that comply with professional regulations and standards.
Collaborate effectively with industry specialists, data scientists and AI engineers in multidisciplinary teams.
Critically evaluate AI models for bias, fairness and interpretability in professional contexts and research settings.

How will I be assessed?
A wide range of authentic assessment methods will be used including both individual and group-based assessments allowing students to foster independent learning skills alongside team working and collaboration skills. Authentic assessments and applied projects are used throughout with a real-world focus.

Through applied, hands-on experience, students learn the skills to innovate responsibly and lead interdisciplinary teams. The MSc Applied AI (and pathway AI with Healthcare Innovation) are designed to deliver a scaffolded learning experience that develops both foundational and advanced competencies in AI and its application across data-driven contexts.

Whether advancing research, driving AI policies or developing scalable solutions, the programmes empower graduates to shape a future where technology serves humanity with transparency, fairness and impactful purpose.

Got a question you’d like to ask?

We welcome students from all backgrounds and accept a wide range of qualifications. If yours aren’t listed, don’t worry – our Admissions Team can help you explore your options. See full entry requirements.

Home:
An honours degree of a British University of equivalent institution (minimum of 2.2)
Consideration will be given to UK students with lower-level qualifications (e.g. a 3rd class degree or non-honours degree) who have a relevant range of professional experience.
Professional experience will be considered by the programme leader in conjunction with the quality office.

International:
An equivalent graduate level qualification from an overseas University of Equivalent institution (minimum 2.2).
Secure English Language Test (SELT) equivalent to IELTS 6.5 with no component below 6.0.
Students with advanced standing may also be admitted through Recognition of Prior (Experiential) Learning (RPeL) or Recognition of Prior (Certificated) Learning (RPL) processes, or through an approved articulation agreement. This will be assessed based on individual cases.
Mature applicants who have requisite prior learning and or relevant and current work experience may be considered for admission. The legitimate applicants should have more than two-years’ experience in the industry. This will be considered based on individual cases and an interview may be organised, following successful application at the initial stage.

Please contact Admissions if you have any questions.

Course fees

The tuition fee for academic year 2025/26 is: £0

Additional costs

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Your time at Birmingham Newman University extends far beyond academic study. You’ll have the chance to join student societies, contribute to community projects or try something entirely new. The university’s supportive atmosphere encourages you to build confidence, develop practical skills and feel genuinely at home throughout your studies.

Graduates may pursue roles such as:
AI Engineer
Data Scientist
Applied Informatics Specialist
Researcher in AI
Product Manager for AI Tech Solutions
AI Engineer in Healthcare
Clinical Data Scientist
Health Informatics Specialist
Researcher in Biomedical AI
Product Manager for Health Tech Solutions

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