Statistics and Artificial Intelligence Lancaster University

Overview

Throughout the Statistics and Artificial Intelligence course from Lancaster University 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.

Lancaster University’s School of Mathematical Sciences is at the forefront of mathematical AI research, which means you will learn from leaders in this field. We have recently been awarded major grants of £12 million and £9 million relating to AI and machine learning to establish the Mathematics for AI and Real-World Systems (MARS) group and lead the Probabilistic AI Hub.

The advanced level of skills and knowledge that you gain throughout the MSc will make you highly sought after by employers:

• Develop core skills in statistical theory, algorithms, and computing
• Learn how to communicate complex data insights effectively, preparing you for a successful career in data science or AI
• Gain hands-on experience with neural networks, deep learning, and state-of-the-art Bayesian inference, ensuring that you can tackle complex problems across various domains
• Through group project work you will develop your applied statistical and methodological skills

Career opportunities:

On completion of the MSc Statistics and Artificial Intelligence, you will possess the skills and knowledge in high demand from employers. This will open you up to a career in a range of industries where there is a need to not only apply but potentially modify machine learning/artificial intelligence-related models. You will also be a great candidate for data science roles.

The starting salary for many graduate statistical roles is highly competitive, and popular career options include:

• Statistician
• Artificial intelligence engineer
• Machine learning engineer
• Data scientist
• AI research scientist
• Quantitative analyst
• University lecturer (contingent on first successfully completing a PhD)

Strong graduates will also be highly competitive for PhD positions, in Lancaster and elsewhere.