University of Hull Online Masters in People Analytics
The Masters in People Analytics from the University of Hull teaches the key concepts in Human Resource Management and Organisational Behaviour and how business strategies, leadership and people analytics are interrelated functions. Learn HRM practices related to training and development, performance appraisal, recruitment and selection etc., as well as psychological constructs on commitment, culture, turnover, climate etc.
The MSc in People Analytics teaches how to design and implement projects that support and inform the strategic goals of the organisation. Gain the skills to view complex situations from multiple angles, and identify the methods and tools required to be applied, or develop varied solutions to challenges. Learn about data governance, including anonymity and privacy policies, and how to implement employee data protection practices.
What you will learn in an Online Masters in People Analytics
- Learn qualitative and quantitative research methods to formulate research plans in people analytics, including research design, data collection and data analysis
- Adapt, develop and validate psychometric instruments
- Learn data science and data analytic techniques such as inferential and descriptive and inferential statistics, machine learning algorithms and text mining
- Learn data science software such as Microsoft Excel, Python and/or R
- Develop data visualisation strategies that are concise, clear and credible
- Assess the impact of projects and their value to decision-makers
Benefits of an Online Masters in People Analytics
Upon completing the Masters in People Analytics degree, learn the confidence to create a People Analytics project that maximises organisational and individual performance. Possess expert knowledge research methodologies that help drive data-driven, strategic decisions and demonstrate this by using advanced techniques such as psychometrics, machine learning and statistics.
Career path after a Masters in People Analytics
- People Analyst
- HR Analyst
- HR Consultant
- Data Analyst
- HR Analytics Manager
- Psychometrician Behavioural Scientist
- Computational Social Scientist
Entry requirements – Masters in People Analytics
- 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, please contact a Higher Education Consultant
- One professional or academic reference
- A personal statement of around 300-500 words.
The Science and Practice of People Analytics (30 credits)
- Apply a range of concepts and principles in people analytics, with a critical awareness of current issues informed by leading-edge research and practice in the field
- Evaluate business cases in people analytics and design analytic strategies in order to solve business problems
- Apply relevant knowledge in people analytics to a range of complex situations, taking account of its relationship and interaction with other areas of the business or organisation
- Employ evidence-based reasoning and examine practical, theoretical, and ethical issues associated with the range of methodologies in people analytics
Individual reflective piece (60%)
- The first item of assessment is an individual reflective piece that discusses how people analytics can contribute to organisation-wide strategies.
- The purpose of this assessment is to encourage you to research a particular subject while also recording your personal views and experience.
Individual report (40%)
- The second item of assessment is an individual report in which you must demonstrate the ability to evaluate specific aspects of the subject at a greater depth, before making recommendations.
- You will need to discuss how people analytics could be applied to help tackle an issue impacting an organisation and what responsibilities a people/HR analyst might have in the analytics team.
Research Methods: Designing a People Analytics Project (30 credits)
- Demonstrate a systematic knowledge of a range of research paradigms, research methods, and measurement techniques
- Analyse, present, and evaluate both quantitative and qualitative data
- Confidently interpret research findings in people analytics
- The first item of assessment is an individual presentation of an HR challenge translated into a research problem.
- Much like the module before, the purpose of this assessment is to familiarise you with researching a specific subject while recording your personal views and experience.
- The second item of assessment is the development of a research project, which could ideally advance the reflection on the topic chosen in your previous assessment.
- On this occasion, you must demonstrate the ability to evaluate specific aspects of the topic at a greater depth, and select a suitable research design that could better address the challenge posed.
Psychometrics: Development and Validation of Research Instruments (30 credits)
- Use a variety of psychological and statistical tools, including specialist software and psychometric instruments
- Apply knowledge of people analytics and appropriate methods ethically and safely to real-world problems
Group report (30%)
- The first item of assessment is a group report detailing the steps taken for the design of a psychological instrument. A template for the development of the report will be provided by the module leader.
- The purpose of this item of assessment is to have students choose a psychological construct widely investigated in an organisational context and demonstrate how an instrument can be designed by following strict psychometric guidelines.
Individual report (70%)
- The second item of assessment is an individual technical report in which you will demonstrate the ability to use appropriate statistical software to carry out the data analysis required for the validation of a psychological instrument.
- You will need to interpret the results yielded by your investigation and make recommendations considering the theory related to the construct chosen; psychometric guidelines; and ethical implications.
Delivering People Analytics: Predictive Modelling, Text Mining and Data Visualisation (30 credits)
- Better utilise specialist software and psychometric instruments
- Report results and create data visualisation strategies in a clear, concise and credible way
Individual report (70%)
- The first item of assessment is an individual technical report in which you will demonstrate your knowledge of descriptive and predictive models and strategies used for the investigation of organisational behaviours. A template for the development of the report will be provided by the module leader.
- The purpose of this assessment is to prepare you to select the machine learning algorithms and text mining techniques that are suitable to answer different research questions posed by various organisational scenarios.
Group report (30%)
- The second item of assessment is a group report in which students will go through the steps of development and delivering of a people analytics project, including data preparation, feature selection, data analysis and data reporting using statistical software. A template for the development of the report will be provided by the module leader.
Capstone Project (60 credits)
- You will be given the opportunity to apply the knowledge gained across all modules and choose an appropriate mode of assessment that suits your needs and interests. A capstone project is a more flexible and inclusive type of assessment, as it encapsulates a variety of forms of research and strategies for the implementation of people analytics.
- You will be able to design your project within the confines of a specific brief to ensure that there is comparability of learning experience between all forms of output. Hence, a template for the development of the capstone project will be provided by the module leader