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MSc in People Analytics - Online

University of Hull

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Hull

  • Study mode

    Distance / Online

  • Start date

    JAN

  • Duration

    2 years

Course summary

Why this MSc?

People Analytics isn’t just about using HR data to manage people at work. It’s about making theory- and data-driven decisions to improve your organisation’s effectiveness.

With our MSc in People Analytics, you will learn how to assess workplace behaviours and connect them to your organisation’s wider strategy.

This course combines different specialisms that will help you see how variables from different areas of an organisation are interrelated. You will get an advanced understanding of Organisational Behaviour (OB), Human Resource Management (HRM), HR Data Analytics, and Psychometrics.

You will learn to develop and apply a variety of psychological and statistical tools, including specialist software and psychometric instruments, within the workplace. You will be trained in quantitative and qualitative research methods so that you can make more strategic and data-informed decisions.

You will also become skilled in how to interpret and visualise HR data, so that you can explain your insights to your organisation’s key decision-makers and make suggestions for improving performance.

Organisations in all sectors are looking to develop their analytics capabilities. Whether your background is in HR, marketing or another function, this MSc will give you the data literacy and analytics skills that organisations need right now to become more effective.

What you learn

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.

Tuition fees

Students living in United States
(International fees)

£ 5,300per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Hull

  • University League Table

    73rd

  • Campus address

    University of Hull, Admissions Office, Cottingham Road, Hull, Kingston Upon Hull, HU6 7RX, England

Subject rankings

  • Subject ranking

    50th out of 122 1

  • Entry standards

    / Max 221
    119 54%

    74th

  • Graduate prospects

    / Max 100
    78.0 78%

    30th

    3
  • Student satisfaction

    / Max 4
    3.14 79%

    36th

    34

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