Statistics and Artificial Intelligence

MSc

  • Entry year 2025
  • Duration Full time 1 year

Overview

Shape the future of AI with advanced statistical and machine learning expertise. The MSc in Statistics and Artificial Intelligence at Lancaster University is your gateway to a future in AI, machine learning, and data science. Mastering the statistical foundations behind AI models is essential to driving innovation. At Lancaster University, our MSc in Statistics and Artificial Intelligence empowers you to go beyond using off-the-shelf AI tools. You’ll gain a deep understanding of the powerful statistical techniques underpinning modern AI, enabling you to apply and modify these models for real-world challenges.

Why Choose Lancaster's MSc in Statistics and AI?

Our programme offers a unique blend of rigorous statistical theory and cutting-edge AI applications. You’ll not only learn how to apply machine learning techniques but also gain insights into the construction of these algorithms. With a strong foundation in statistics, you’ll be equipped to modify and enhance AI models, preparing you for high-demand roles across various industries or further academic study. With a blend of statistical theory and practical AI skills, you’ll be equipped to lead in the development and application of AI technologies across a range of industries. Start your journey with us and shape the future of AI.

Who is This Programme For?

This MSc is ideal for students with a strong background in quantitative disciplines, such as mathematics. Whether you’re looking to enter the AI industry or advance into academic research, this course will provide the tools you need to succeed.

Programme Highlights

Term 1: Build Your Foundation in Statistical Inference and Algorithms

Start by developing core skills in statistical theory, algorithms, and computing. This term provides the essential knowledge you need to understand the mechanics of AI and machine learning models. You'll also learn how to communicate complex data insights effectively, preparing you for a successful career in data science or AI.

Term 2: Advanced Training in Machine Learning

In the second term, you’ll dive deep into machine learning. Go beyond simply applying pre-built models—understand the mathematical and computational ideas behind them. You’ll cover both supervised learning methods for tasks like prediction and classification, and unsupervised learning techniques for clustering and anomaly detection. You’ll also gain hands-on experience with neural networks, deep learning, and state-of-the-art Bayesian inference, ensuring you can tackle complex problems across various domains.

Term 3: Individual Dissertation Project

During the summer, you’ll undertake an independent research project on a topic of your choice, supervised by experts from Lancaster’s School of Mathematical Sciences. These projects may even involve collaboration with industry partners, providing real-world context to your learning. This research will give you the opportunity to apply your newly acquired skills in machine learning and statistics, culminating in a dissertation that showcases your expertise.

Entry requirements

2:1 Hons degree (UK or equivalent) in Mathematics or Statistics.

We may also consider non-standard applications where you have studied a degree in other quantitative subjects that include courses in probability, statistics, linear algebra, and calculus, or you have a 2:2 honours degree equivalent result combined with extensive relevant experience.

You should clearly be able to demonstrate how your skills have prepared you for relevant discussions and assessments during postgraduate study.

If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.

Pre-master’s programmes

Delivered in partnership with INTO Lancaster University, our one-year tailored pre-master’s pathways are designed to improve your subject knowledge and English language skills to the level required by a range of Lancaster University master’s degrees. Visit the INTO Lancaster University website for more details and a list of eligible degrees you can progress onto.

Course structure

You will study a range of modules as part of your course, some examples of which are listed below.

Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research. Not all optional modules are available every year.

Core

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Optional

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Fees and funding

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General fees and funding information

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Scholarships and bursaries

You may be eligible for the following funding opportunities, depending on your fee status and course. You will be automatically considered for our main scholarships and bursaries when you apply, so there's nothing extra that you need to do.

Unfortunately no scholarships and bursaries match your selection, but there are more listed on scholarships and bursaries page.

If you're considering postgraduate research you should look at our funded PhD opportunities.

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We also have other, more specialised scholarships and bursaries - such as those for students from specific countries.

Browse Lancaster University's scholarships and bursaries.

Important Information

The information on this site relates primarily to 2025/2026 entry to the University and every effort has been taken to ensure the information is correct at the time of publication.

The University will use all reasonable effort to deliver the courses as described, but the University reserves the right to make changes to advertised courses. In exceptional circumstances that are beyond the University’s reasonable control (Force Majeure Events), we may need to amend the programmes and provision advertised. In this event, the University will take reasonable steps to minimise the disruption to your studies. If a course is withdrawn or if there are any fundamental changes to your course, we will give you reasonable notice and you will be entitled to request that you are considered for an alternative course or withdraw your application. You are advised to revisit our website for up-to-date course information before you submit your application.

More information on limits to the University’s liability can be found in our legal information.

Our Students’ Charter

We believe in the importance of a strong and productive partnership between our students and staff. In order to ensure your time at Lancaster is a positive experience we have worked with the Students’ Union to articulate this relationship and the standards to which the University and its students aspire. View our Charter and other policies.