Advanced Machine Learning

Entry requirements

You should have a first or strong second-class Bachelor’s honours degree or international equivalent.

To apply for this course you should have an undergraduate degree in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess a good knowledge of probability and statistics, and have a solid foundation in programming, particularly in Python.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Before you apply, please check the University of Bath website for the most recently published entry requirements.

Months of entry

September

Course content

Prepare for a career in machine learning with specialist skills and knowledge in designing, developing, and deploying machine learning systems.

This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.

Course highlights

• Gain a deep understanding of the theoretical foundations of machine learning and hands-on experience in deploying machine learning systems using current development tools, core software libraries and cloud-based delivery technologies.
• Specialised knowledge and skills in advanced topics such as computer vision, natural language processing, reinforcement learning, and robotics.
• Exposure to the latest research and technology in machine learning, including exploring how new innovations are shaping the field.
• Collaborate on team projects where students will present their work to peers and instructors.
• Be part of our supportive postgraduate community.
• Live and study in a beautiful world heritage city.

Optional professional placement

Apply your technical knowledge and skills to up to a year working in industry. The placement is taken after the two taught semesters, in an approved company within the UK or abroad. You will learn professional workplace practices, including communication styles, teamwork and task management.

We have established strong links with many industrial partners of varying size, including Amazon Video, PayPal, JP Morgan, Expedia Group, IBM, Mayden, Netcraft and Deloitte.

Fees and funding

Find out about funding opportunities at the University of Bath