Artificial Intelligence MSc

1 Years On Campus Masters Program

University of Leicester

Program Overview

The MSc Artificial Intelligence at the University of Leicester provides strong training in machine learning, data mining, statistics and AI-driven software development. It suits students with computing or quantitative backgrounds who want to build intelligent systems for industry or research.

Curriculum structure

Students begin with Statistical Foundations, Computational Intelligence and Software Engineering, Data Mining and Neural Networks, and Fundamentals of Data Science, gaining skills in statistical modelling, neural-network methods, algorithm design and software development for AI. In the next stage, they deepen their understanding through advanced AI and data-science topics, combining theory with practical system development. The programme concludes with an MSc Project or Industry Placement, where students design and implement an AI or data-science solution to a real-world problem.

Focus areas: “Machine Learning, Neural Networks, Data Mining, Data Science, Statistical Modelling, Software Engineering for AI”

Learning outcomes: “Apply statistical and ML techniques; design AI-driven software; analyse and interpret complex data; develop robust intelligent systems; complete an independent AI project.”

Professional alignment (accreditation): Prepares graduates for careers in AI development, data science, analytics, software engineering and research.

Reputation (employability rankings): Leicester is recognised for strong computing and mathematical sciences, supporting good graduate employability in AI and data-driven fields.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on coursework focused on programming intelligent systems and analysing complex data. The programme emphasises applying theoretical concepts in AI and machine learning to solve tangible problems.

Key experiential elements include:

Software & Digital Tools: Extensive use of industry-standard platforms, specifically Python with libraries like TensorFlow, Keras, and Scikit-learn, for building and deploying machine learning models.
Group Projects: A significant Team Software Engineering Project where students collaborate to design, develop, and document a substantial software system, simulating a professional development environment.
Practical Modules: Core modules such as Machine Learning and Intelligent Systems and Robotics involve direct application through programming assignments, data analysis tasks, and practical robotics exercises.
Dissertation Project: A major individual research or development project, allowing for deep specialisation in an area like data mining, natural language processing, or computer vision.

Progression & Future Opportunities

Graduates of University of Leicester's MSc Artificial Intelligence acquire sought-after expertise in predictive analytics, deep learning, algorithm design, and secure AI systems, positioning them to drive innovation across technology, healthcare, and business sectors. The program emphasizes ethical AI deployment and real-world problem-solving through industry-linked projects, ensuring alumni excel in high-demand roles amid rapid AI expansion. Typical job roles: machine learning engineer, data scientist, AI solutions architect, R&D engineer.

University services: Careers and Employability Service offers CV building, interview techniques, and Personal/Group Skills module for professional development.
Employment stats/salary: Graduates earn £3,600 above sector average five years post-graduation, reflecting strong AI job market demand.
University–industry partnerships: Final projects link to active industrial priorities; collaborations with partners for AI system development.
Long-term accreditation value: Research-inspired curriculum builds adaptable skills for ethical AI leadership and evolving technologies.
Graduation outcomes: Roles in tech firms, policy advising, product management, and global R&D worldwide.

Further Academic Progression: Pursue PhD at Leicester extending MSc project research with expert supervision.

Additional Information & Requirements

2:1 degree (or equivalent) in a relevant subject with a substantial element of Computing. Relevant work experience may also be considered.

India- If you hold a Bachelors degree from an Indian University with a First class classification or a B grade or 60% you will be considered for entry to a Masters degree.

USA- Bachelors degree with a B average or equivalent GPA which is 3.0

IELTS 6.0 or equivalent.

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