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14379 results for: ‘museum studies’

  • Introduction to Finance

    Module code: MN1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Introduction to Finance

    Module code: AF1019 The academic study of finance will introduce you to concepts and theories that underpin our entire economic system.

  • Before you arrive

    Checklists for what to bring to university – your accommodation, how to register, getting to Leicester, budgeting, and starting your studies.

  • A day in the life of an animal technician

    Read more about what a day is like for an animal technician in our DBS facility at Leicester.

  • Training apprentices: do small firms do it better?

    Posted by Dan Bishop in School of Business Blog on October 8, 2014 Dan Bishop, Lecturer in Employment Studies at the School, challenges the ‘large firm’ paradigm on which apprenticeship-oriented politics has conventionally been based Apprenticeships and small businesses have...

  • School of English Blog: Academic and staff blogs from the University of Leicester

    Academic and staff blogs from the University of Leicester

  • Mathematics with Foundation Year BSc

    If you would love to study Mathematics here at Leicester, but you don’t quite have the entry requirements to get in, this degree is your bridge to making it happen.

  • Student work, skills and achievement

    History students at the University of Leicester attain a range of skills over the course of their studies. This page highlights some of our students' skills and achievements.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

  • Computationally Intensive Methods

    Module code: MD7443 This module will cover a variety of computationally intensive methods including maximum likelihood estimation, modelling of non-linear effects, simulation studies, dealing with missing data and machine learning models.

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