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  • Academic Practice

    Module code: MN7366 During this module, you'll identify and appreciate the range of, and differences between, quantitative and qualitative data-based empirical studies that inform the study of Human Resource Management and Training (HRM&T).

  • Management Inquiry and Analysis

    Module code: MN1009 Business and organisational leaders make important decisions every day.

  • Academic Skills and Knowledge

    Module code: MN7600 Module co-ordinator: Dr Richard Godfrey Module Outline This formative assessment module introduces you to the virtual learning environment and shows you how to effectively utilise this during your course.

  • Consumer Behaviour

    Module code: MN2121 Understanding consumer behaviour is critical to the successful execution of marketing strategies and brand building.

  • Principles of Marketing

    Module code: MN1002 So you've got a brilliant idea for a product; great, but how are you going to get people to buy it? What exactly goes into someone purchasing your product? Often, it's solely down to successful marketing, and this module will introduce you to the...

  • Evidence Applied to Professional Practice

    Module code: NU4004 (double module) In this module you will critically reflect on clinical practice, and construct a systematic review/service improvement project to address and review clinical/education/research focused areas of inquiry of your choosing.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • Statistical Data Analysis

    Module code: MA2206 Statistics is the branch of mathematics that is used in the study of data, trends and uncertainties and is a fundamental aspect of data analysis for empirical scientists, mathematicians and engineers.

  • Landscape Archaeology

    Module code: AR7522 This module introduces the theoretical issues underpinning landscape archaeology, and the range of techniques in the human and natural sciences that can be combined in the broad field of landscape studies.

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