Search the LJMU website

All pages Staff pages Student pages

  1. Legal statements – accommodation

    The data protection statement will clear up any enquiries you may have about how we use and pass on your personal details when it comes to accommodation applications.

  3. Generic job descriptions

    A number of generic job descriptions have been developed to assist departments in writing job descriptions for frequently occurring roles and to enable swifter grading turnaround times for these posts.

  4. Alumni

    Stay connected to LJMU. Find out how to register as an alumnus and how it can benefit your career.

  5. i-buy - Information for Users

    i-Buy is a self-service system, which helps LJMU staff select and order goods, services and works in a simple and standardised manner, from approved, recognised sources.

  6. Depression and low mood - staff wellbeing hub

    See information on depression and low mood, such as the signs and symptoms, how it impacts our thinking, emotions, physical sensations and behaviours plus some self-help interventions on managing it.

  7. Customer Relationships and Insight

    The Customer Relationships and Insight team works closely with all areas of the wider Student Recruitment Marketing and Admissions team, and colleagues across the institution to ensure LJMU consistently delivers an exceptional experience for prospective students.

  8. TLA educational policies and guidance

    Explore LJMU's Learning and Teaching Strategy 2023-2030, offering guidance on innovative academic practices, curriculum design, artificial intelligence (AI) use, blended learning, and assessment policies.

  9. AI considerations

    As the advancements in artificial intelligence (AI) reshape various aspects of education, including assessment design, educators are faced with the challenge of effectively integrating this technology into their practices.

  10. Qualitative Analysis in Action

    Qualitative Analysis in Action is an online toolkit that provides open access to 32 interviews with inspirational Nepali women along with a range of resources and demonstrations of qualitative data analysis.