The MSc Artificial Intelligence and Data Science at Bangor University offers a one-year (full-time) or two-year (part-time) route for graduates — combining programming, machine learning, data science and AI theory to prepare students for careers in AI, data analytics, research or interdisciplinary work. It suits both computing / math graduates and those from psychology or related fields who want to build modern AI / data-science skills, including data analysis, ML, NLP, and applied AI.
Curriculum Structure
In the taught phase, students study Introduction to Programming, Data Science, and Principles of Machine Learning — gaining programming skills (mainly Python), statistical/data-analysis foundations, and knowledge of machine-learning algorithms and data-driven modelling. They also take Natural Language Processing (NLP) and AI & Game Design, which develop skills in working with textual data, language modelling, and real-time AI applications (e.g. in games or simulation). Advanced research skills are covered in Advanced Research Methods, preparing students for their final independent work. The course culminates in a substantial Individual Project (Dissertation) — a 60-credit module where students design and implement an original AI/data science solution or research study, consolidating their technical, analytical and research skills.
Focus areas:
“data science, machine learning, programming & software development, natural language processing, AI applications, independent AI/data-science research”
Learning outcomes:
“Be able to write software for AI/data tasks; build and evaluate machine-learning models; process and analyse structured and unstructured data; apply AI techniques to language or real-time applications; design and deliver an independent AI/data-science project; prepare for roles in AI, data science or research.”
Professional alignment (accreditation):
The programme is designed to meet the demand for AI and data-science professionals across sectors — equipping graduates with a portfolio of skills for data analysis, ML engineering, AI-driven roles and interdisciplinary research.
Reputation (employability / stat):
Bangor University describes the programme as research-driven and ethically grounded, emphasising employable skills in AI and data science; graduates are well-prepared for careers as data scientists, AI developers or research associates.
Students gain practical skills through hands-on projects using Bangor's high-performance computing infrastructure, applying AI and data science techniques to real-world problems across various domains. The programme utilises the University's specialist computing facilities and is supported by research activities in areas like computational neuroscience and intelligent systems. This applied learning is central to the curriculum and is delivered through:
Core Software & Programming: Intensive use of Python and R, with practical application of key libraries and frameworks including TensorFlow, Keras, PyTorch, and Scikit-learn.
Computing Facilities: Access to the University's High-Performance Computing (HPC) cluster (HPC Wales) and dedicated computing laboratories for data-intensive processing.
Research Project: A substantial individual MSc dissertation project, often with an applied focus, allowing students to pursue specialist interests in AI and data science.
Group Projects: Collaborative team-based projects focused on designing and implementing complete data science and AI solutions.
Digital Tools & Platforms: Use of industry-standard tools for version control (e.g., Git) and collaborative software development.
Research Context: The programme benefits from the research environment of the School of Computer Science and Electronic Engineering, with potential links to research in computational neuroscience and intelligent systems.
Graduates of the MSc Artificial Intelligence and Data Science at Bangor University obtain strong skills to work as data scientists, AI developers, machine learning engineers, and research analysts:
The Careers and Employability Service offers CV support, interview preparation, and placement assistance.
Graduates achieve high employability in sectors like healthcare, finance, and tech, with salaries typically between £30,000 and £50,000.
The university collaborates with industry partners for real-world projects and internships.
The program emphasizes ethics and professionalism, enhancing long-term career and accreditation value.
Graduates complete substantial research projects aligned with current AI and data science challenges.
Further Academic Progression: Graduates can pursue PhDs in AI, data science, or computational neuroscience to advance in academic or applied research careers.



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