MSc in People Analytics

Make an impact on your organisation’s performance. Learn how to analyse and visualise workplace data and connect it to your organisation’s strategic goals.
  • via University of Hull
  • Program Fee: £10,600

Course Overview

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This MSc is part of the Hull University Business School, a leading UK business school with internationally recognised accreditations from the Association of MBAs (AMBA) and the Association to Advance Collegiate Schools of Business (AACSB).

Organisations in all sectors need individuals who understand how OB, HRM, leadership, business strategies and people analytics are interrelated. During this course, you will learn about the key concepts in OB and HRM, such as psychological constructs (e.g. organisational climate, culture, commitment, turnover) and HRM practices (e.g. recruitment and selection, training and development, and performance appraisal).

You will learn how to design and implement the right People Analytics projects to inform and support whatever strategic goals your organisation is working towards. You will gain the ability to see complex situations as a whole and decide which tools and methods are most appropriate to different projects.

You will assess the impact projects will make within your organisation and their value to managers and decision-makers. You will also learn about data governance, including implementing privacy and anonymity policies, and how to implement practices to protect employee data from theft and abuse.

Throughout the course, you will gain the knowledge and confidence to

  • Use quantitative and qualitative research methods, including identifying and formulating a research problem in people analytics, research design and procedures for data collection and data analysis
  • Develop, adapt and validate psychometric instruments
  • Use analytic techniques in statistics and data science such as descriptive and inferential statistics, unsupervised and supervised machine learning algorithms and text mining
  • Use software for data science, such as Microsoft Excel, R and/or Python. Process and wrangle data
  • Report results and create data visualisation strategies in a clear, concise and credible way

By the end of the course, you will have the confidence to create a People Analytics project that will maximise individual and organisational performance

Course details

Mode:100% online (with optional events)
Length:two years (part-time)
Fees: £10,600
Start dates:January, May and September
Next welcome week:20 May 2024
Next start date:27 May 2024
Application deadline:May 2024 (date TBC).

How you're assessed

Throughout this MSc in People Analytics, you’ll be assessed on:

  • Your knowledge of and capability to apply analytic tools in different business contexts
  • Your ability to design analytic strategies to solve business problems
  • Your ability to critically evaluate analytic tools and strategies

All assessment is based on coursework and submitted online. There are no exams, giving you the opportunity to demonstrate your research and report-writing skills over a longer period.

Assessment methods

Instead, your performance on the programme will be evaluated through a range of methods, including:

  • Ongoing tutor and peer feedback
  • Practical work, including group projects and discussion forums

Written assessments

You’ll also be asked to complete a variety of written assessments, such as:

  • An individual proposal of an HR challenge translated into a research problem that could guide the development of a People Analytics project
  • An individual report detailing the steps taken for the design of a psychological instrument
  • An individual report in which you go through the steps of developing and delivering a People Analytics project – including data preparation, feature selection, data analysis, and data reporting using statistical software

What are the entry requirements?

  • A minimum 2.2 Bachelor Honours degree or international equivalent in a related subject (such as business and management, psychology, marketing, and similar)
  • If you don’t meet the above entry requirement, you should provide a current detailed CV highlighting appropriate academic and/or professional experience in the fields of organisational behaviour and human resource management. You should have 3+ years of relevant academic and/or work experience
  • An IELTS 6.0 score (with minimum 5.5 in each skill) if your first language isn’t English (or other English language proficiency qualifications accepted by the University of Hull)
  • One professional or academic reference
  • A personal statement of around 300-500 words

Course modules

This introductory module breaks down all the fundamentals of People Analytics by addressing the most up-to-date and relevant practices, topics and tools involved in the field. You will explore the many facets of this interdisciplinary field — particularly its relevance within HR — including how organisational psychology, psychometrics and data science are used to understand human behaviour within organisations and help guide strategic decision-making.

The module also provides an introduction to the use of R software and other data-gathering instruments, as well as the guidelines surrounding the ethical use of data, including GDPR, the Ethics Guidelines for Trustworthy Artificial Intelligence (AI) and the Data Ethics Framework.

On this module, you will have the opportunity to put research into practice by learning how to identify business problems and develop a corresponding People Analytics project. Using qualitative, quantitative and mixed research methods, you will learn how specific evidence-based techniques can address HR problems and challenges, and will explore all aspects of a People Analytics project, including participants, materials and instruments, data collection and analysis procedures, and the surrounding ethical aspects.

On this module, you will learn the central concepts of psychological measurement and how its use pertains to the field of People Analytics. You will explore the fundamentals of psychometric theories — Item Response Theory and Classical Test Theory — as well as how to develop and validate psychological instruments through the use of R software.

Critically, the module also emphasises ethics within the application of psychological testing, and will show you how to work within specific ethical and professional frameworks.

The many aspects of People Analytics come together on this module, where you will learn how to effectively and efficiently deliver a People Analytics project. You will unpack the various steps within a People Analytics project, including the variables included and what methods, tools and algorithms you should use in your delivery. From there, you will use a hands-on approach to learning data analysis, and will be introduced to text mining techniques and advanced machine learning algorithms, as well as how to interpret your results clearly and ethically in corresponding business reports.

Combining the lessons you have learned on previous modules, you will develop your own People Analytics project on a topic of your interest. You will address a specific business issue through the use of thoughtful research questions, targeted methodology, research literature and in-depth data analysis with either data from your current employer, government open data or through public datasets.

Your Capstone Project could take the form of:

  • Formal dissertation
  • Development of a computer program, app, or package to address a specific need in people analytics
  • White paper or peer-reviewed paper
  • Development and/or implementation of policies intended to address people analytics-related problems
  • Technical report focused on the formulation of business strategies connected to people analytics

Example Capstone Project topics could include:

  • The use of machine learning for recruitment and selection
  • The development of an R package for people analytics
  • How machine learning and psychometrics can be combined to enable better decision-making in people analytics
  • How strategic human resource management could benefit from a people analytics approach

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