

BSc AI and Data Science
About this course
Artificial intelligence and data science together represent two of the most transformative fields in contemporary technology. AI is the study and development of systems that can perform tasks that would typically require human intelligence, from recognising images and understanding language to making predictions and playing games. Data science provides the methods to collect, clean, analyse, and interpret the large datasets that power these systems and that organisations increasingly use to make decisions. Together, they form a discipline with broad application across virtually every sector of the economy. Manchester Metropolitan University's three-year full-time BSc AI and Data Science degree has a typical entry tariff of 104 points and includes a sandwich year and work placement opportunities, giving you the chance to gain professional experience in the technology or data sector before you graduate. As the course itself describes, you will develop specialist technical knowledge as well as analytical, logical thinking, and problem-solving skills to prepare you to make a difference in this rapidly developing sector. You will study machine learning, programming, data engineering, statistical analysis, neural networks, natural language processing, and the ethical and social dimensions of AI, building both the technical foundation and the broader understanding needed to work responsibly and effectively in this field. AI and data science graduates are in strong demand across technology companies, financial services, healthcare, retail, logistics, public services, and media. Common roles include data scientist, machine learning engineer, AI developer, data analyst, and data engineer. Many graduates also move into research roles or continue to postgraduate study, where specialisation in areas such as deep learning, computer vision, or natural language processing opens doors to some of the most technically advanced positions in the industry. The breadth of potential applications means that graduates with strong foundations in both AI and data science can follow their interests into almost any sector.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 25 respondents (80% response rate)
Similarly Ranked Alternatives
What comes next? 🎓
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai →


