Program Overview

Machine Learning in Science MSc

Overview

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition, and language processing. This course will teach you how to apply ML and AI techniques to real scientific problems, enhancing your employability in a rapidly expanding area.

Course Details

• Duration: 12 months (full-time), 24 months (part-time)**
• Start date: September 2026
• UK fees: TBC
• International fees: TBC
• Entry requirements: 2:1 undergraduate degree in physics, mathematics, computer science, chemistry, or engineering

Course Content

• Mathematics Bootcamp: An intensive mathematics bootcamp to ensure you have the necessary quantitative skills
• Core modules:
  • Machine Learning in Science – Part 1 (20 credits)
  • Machine Learning in Science – Part 2 (20 credits)
  • Applied Statistics and Probability (20 credits)
  • Machine Learning in Science – Project (60 credits)
• Optional modules:
  • Introduction to Practical Quantum Computing (10 credits)
  • Computer Vision (20 credits)
  • Designing Intelligent Agents (20 credits)
  • Neural Computation
  • Big Data Learning and Technologies (20 credits)
  • Simulation and Optimisation for Decision Support (20 credits)
  • Linear and Discrete Optimisation (20 credits)
  • Handling Uncertainty with Fuzzy Sets and Fuzzy Systems (20 credits)

Choice between computer science or mathematics focused ML module:

• Machine Learning (20 credits)
• Statistical Machine Learning (20 credits)

Choice between long or short computing module:

• Programming (20 credits)
• Scientific Programming in Python (10 credits)

Learning and Assessment

• Lectures
• Problem classes
• Workshops
• Practical exams
• Coursework
• Research project
• Project work

Entry Requirements

• Home / UK students: 2:1 undergraduate degree in physics, mathematics, computer science, chemistry, or engineering
• EU / International students: 2:1 undergraduate degree in physics, mathematics, computer science, chemistry, or engineering
• Alternative qualifications: We treat all applicants with alternative qualifications on an individual basis
• English language requirements: IELTS 6.5 (6.0 in each element)

Fees

• Qualification: MSc
• Home / UK: To be confirmed
• International: To be confirmed

Careers

• Careers advice: We offer individual careers support for all postgraduate students
• Job prospects: Machine learning and artificial intelligence have become central for the economy and society. Our graduates have gone onto data science positions in industry or the financial sector. Some have continued their research to PhD level, while others have returned to their previous employers.