Hands-on Text Mining and Analytics

The University of Leeds is a major UK research university with a long history and a vibrant campus in West Yorkshire. A member of the Russell Group, Leeds combines historic buildings and modern facilities across a green campus, and hosts a large international community. Its academic strategy focuses on research-led teaching and societal impact, aiming to address global challenges and support student success through a values-driven educational approach.

Leeds offers a wide portfolio of undergraduate and postgraduate programs across arts, sciences, engineering, business and health, supported by active research centres and industry collaboration. Students benefit from work placements, live projects and fieldwork opportunities that enhance employability; the university is recognised for strong links with employers and for producing graduates who are well prepared for professional life. Teaching blends academic depth with practical skills and digital learning tools.

International students find a welcoming environment with extensive support services, study abroad options and a diverse campus life. The university’s commitment to inclusion, sustainability and community engagement creates opportunities to take part in meaningful research and civic initiatives. Prospective applicants should explore entry requirements, scholarships and language support to plan a successful transition to study at Leeds.

The Hands-on Text Mining and Analytics program is for students who want to learn about data analysis, offered as a non-degree course at the University of Leeds, lasting several weeks, with the main advantage of online learning.

This program will teach you specific skills like text analysis, data visualization, and machine learning, with hands-on projects that let you work with real data, and subjects that include natural language processing and data science.

After completing this program, you can work as a data analyst, business intelligence developer, marketing researcher, or IT consultant, and be employed by companies like Google, Microsoft, or IBM.