MSc Artificial Intelligence

1 Years On Campus Masters Program

University of Bath

Program Overview

The MSc Artificial Intelligence at University of Bath equips students with advanced theoretical and practical skills in AI, machine learning, data-driven methods and computational modelling — preparing them for research roles or industry jobs in AI, data science, or intelligent systems. It suits students with a strong quantitative or computing background (e.g. computer science, mathematics, engineering) seeking in-depth AI training.

Curriculum structure
In the taught phase, the programme begins with Foundations of Artificial Intelligence and Principles of Programming for Artificial Intelligence, where students gain essential grounding in logic, probability, programming, algorithms, and classical AI methods. Then, students move into core applications, such as Machine Learning, Data Science, and AI Applications, as well as Natural Language Processing (NLP), learning to build and apply ML models, work with real datasets, and implement AI for language and data tasks. Finally, students complete an Individual Research Dissertation, conducting an original project that integrates AI theory, programming and application — giving them hands-on experience with a real research or real-world problem.

Focus areas: “Machine learning, data science, AI programming, probabilistic & symbolic AI, NLP, applied AI research”
Learning outcomes: “Master core AI/ML algorithms; design, implement and evaluate data-driven AI systems; apply AI methods to language or data tasks; conduct original research or development projects; prepare for industry or doctoral-level work”
Professional alignment (accreditation): Programme aligns with demands of AI and data-science industry — graduates are prepared for roles as ML engineers, data scientists, AI researchers or further PhD study.
Reputation (employability): University of Bath is a nationally respected institution, and its MSc in AI is recognised for blending strong academic grounding with applied and research-oriented training — enhancing employability in tech, AI, research and data-driven sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects using the University's high-performance computing infrastructure, applying AI and machine learning techniques to solve complex, real-world problems. The programme emphasizes both theoretical understanding and practical implementation, with a strong focus on software development and system building for AI applications. This applied learning is structured around several key components:

Core Software & Programming: Intensive use of Python as the primary language, with deep exposure to key AI and machine learning libraries including TensorFlow, PyTorch, and Scikit-learn.
Computing Facilities: Access to the University's High-Performance Computing (HPC) resources, including the Balena HPC service, for training complex models and handling large datasets.
Research Project: A substantial individual research dissertation (MSc project) that allows students to pursue a specialist area, often involving the development of a novel AI application or algorithm.
Group Projects: Team-based software engineering projects focused on designing and building complete AI systems to address specific challenges.
Digital Tools & Platforms: Use of industry-standard tools for version control (e.g., Git) and collaborative development.

Progression & Future Opportunities

Graduates of the MSc Artificial Intelligence at University of Bath develop specialist skills in machine learning and probabilistic reasoning, securing roles as AI engineers, data scientists, machine learning specialists, and research analysts:

Careers Service provides CV workshops, interview coaching, and employer networking events.
High employability across tech, healthcare, finance; salaries £35,000–£55,000.
Partnerships via Institute of Coding and ART-AI Centre offer industry projects and placements.
Training in ethical AI ensures long-term value in responsible tech development.
Graduates complete dissertations applying AI to real-world challenges.

Further Academic Progression: Graduates pursue PhDs in AI or research fellowships for academic/industry leadership.

Additional Information & Requirements

You should have a Bachelor’s honours degree or international equivalent, typically a 2:2 or above.

India- Typically, you should have a Bachelor degree with a final overall result of at least First Class.

USA- You should have an Honors Bachelor degree or Bachelor degree with a final overall result of at least CGPA 3.0 on a 4-point scale.

IELTS: 6.5 overall with no less than 6.0 in all components

TOEFL IBT: 90 overall with a minimum 21 in all 4 components

Book Free Session with Our Admission Experts

Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.