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The MSc Artificial Intelligence at the University of Plymouth provides advanced training in machine learning, deep learning, computer vision, and computational intelligence, preparing students to build and deploy intelligent systems. It suits applicants with a STEM background who want a technically strong, industry-oriented AI qualification supported by hands-on project work.
Curriculum Structure
In this one-year programme, students begin with core modules such as Advanced Machine Learning (COMP5008), where they study supervised, unsupervised and reinforcement-learning approaches through real datasets and applications. They then explore state-of-the-art vision technologies in Artificial Vision and Deep Learning (AINT515), working with convolutional and deep neural networks to solve image-based problems and understand modern computer-vision pipelines. Alongside this, Computational Intelligence (COMP5012) introduces them to evolutionary computation, swarm intelligence. Students also strengthen data-handling expertise through Big Data and Social Network Visualisation (MATH513), learning to process large datasets and use visualisation methods that support AI decision-making. The year concludes with the MSc Dissertation and Research Skills (PROJ518), a substantial independent project where students apply AI methods to a chosen real-world or research problem, supported by academic supervision.
Focus areas: “Machine Learning, Deep Learning, Computer Vision, Computational Intelligence, Big Data Visualisation, Applied AI Research”
Learning outcomes: “Ability to design and implement advanced AI models, analyse and visualise complex data, apply AI methods to real-world scenarios, and carry out independent AI research.”
Professional alignment (accreditation): The programme aligns with industry expectations for AI specialists, requiring strong STEM and programming foundations and offering training that reflects current industrial AI practice.
Reputation (employability rankings): Plymouth’s School of Engineering, Computing and Mathematics maintains strong industry links and research engagement, enhancing graduate employability across AI engineering, data science and applied research roles.
Students gain practical skills through hands-on AI projects in Plymouth's computing laboratories, using the University's high-performance computing resources to develop and test intelligent systems. This applied learning is central to the curriculum:
Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn).
Computing Facilities: Access to the University's High-Performance Computing (HPC) cluster.
AI Projects: Practical development of machine learning models and AI applications.
Research Project: An individual dissertation focusing on AI system implementation.
Industry Focus: Curriculum developed with industry input and real-world applications.
Marine & Robotic Context: Potential application in Plymouth's marine science and robotics research areas.
Graduates of University of Plymouth's MSc Artificial Intelligence master machine learning, computational intelligence, computer vision, big data, and robotics, enabling them to build AI software from first principles for industrial applications across sectors. Practical coursework and dissertations with world-leading research prepare alumni for high-demand roles leveraging AI tools amid strong industry links. Typical job roles: AI engineer, machine learning specialist, data scientist, robotics developer.
University services: Careers service offers industry experiences, transferable skills training, and informed career path guidance.
Employment stats/salary: Over 95% graduates employed/studying 15 months post-graduation; competitive AI sector salaries.
University–industry partnerships: Links with AI providers/consumers; real-world projects via SECaM research expertise.
Long-term accreditation value: Industry-aligned practical focus ensures employability in evolving AI fields.
Graduation outcomes: Roles with AI organisations; research or specialist positions worldwide.
Further Academic Progression: Pursue PhD in AI at Plymouth, extending MSc dissertation research in machine learning or robotics.
A lower second class (2:2) honours degree or better in a STEM-based discipline.India- Bachelor degree with score 55%–59%USA- To apply for our postgraduate courses (second degrees) from the USA, you'll need a good (3.0/4.0 min GPA) undergraduate degree. IELTS English proficiency score of 6.5, with at least 5.5 in each component. AI DeveloperMachine Learning EngineerData ScientistSoftware Engineer (AI/ML)Business Intelligence AnalystAutomation SpecialistResearch EngineerData AnalystAI ConsultantComputer Vision SpecialistNLP EngineerRobotics Programmer
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