Artificial Intelligence and Data Science Middlesex University

Award	Attendance	Study	Duration	Start	Domestic fees	International fees
BSc (Hons)	On-Campus	Full-time, Part-time	3 - 6 years	September	find out	find out

Course fee notes

Fees vary for UK, EU and International students. Please check your chosen course page on the Middlesex University website for up to date fees and available funding options.

Course overview

Our Artificial Intelligence and Data Science BSc you will give real-world skills and practical experience from day one. You will learn how AI and Data Science systems work, master the latest AI technologies from leading experts in the field, and gain skills and experience that will give you immediate entry into the job market, or further study. With global demand for AI and Data Science professionals, this course equips you with everything you need to thrive in this exciting, high-demand sector.

Why Study this course at Middlesex University?

This course provides a strong foundation in Artificial Intelligence and Data Science, equipping you with practical skills in programming and problem-solving using Python and other coding languages. You'll study a wide range of machine learning techniques, including neural networks, support vector machines, genetic algorithms, and generative AI.

You'll also explore advanced systems such as large language models (LLMs), ontology management, and distributed processing, applying these tools to areas like computer vision and natural language processing (NLP). Facilities include state-of-the-art laboratories and access to the latest technologies used in industry.

The course is taught by academic staff who are active in AI and data science research, and you'll have the opportunity to work on real-world projects in collaborative settings. You'll also develop skills in using computational tools, teamwork, communication, and entrepreneurship.

What will you learn?

In the first year, you will learn to program, and develop an understanding of the basics of AI, Data Science, and algorithms. In the second year, you will become fully grounded in Data Science, machine learning, and AI, and learn to apply large language models to practical problems. In the final year, you complete your understanding of AI, and specialize in two areas of AI in which you are interested. This will include an individual project supervised by a member of the programme team.