Course Information Undergraduate prospectus

Human Resource Analytics

Course summary

Course code: BUSI1631
Level: 5
Credits: 15
School: Business Faculty
Department: Human Res and Organisational Beh
Course Coordinator(s): Leroi Henry

Specification

Aims

This course focuses on the use of HR information to aid decision making and aims to develop both an understanding the principles of how to use HR evidence to inform decision making and the technical skills to analyse and present HR data. The course adopts the principles of problem-based learning; students will work on case study material throughout the whole course, applying appropriate techniques to analyse and present real people data to inform decision making in relation to realistic business issues relating to a range of areas of HR practice.

Learning outcomes

On successful completion of this course a student will be able to:

1. Articulate the role of HR analytics in evidence-based decision making within organisations

2. Understand how to apply appropriate analytic techniques based on the organisational context and nature of the business question

3. Evaluate business issues and articulate these as clear and precise questions in order to frame the analysis of people information

4. Use MS Excel to manage, analyse and present HR information in appropriate ways to inform decision making

5. Compute inferential statistics to evaluate key business questions such as evaluating the success of HR interventions, the relationship between practice and attitudes, or planning and budgeting

6. Apply ethical principles to analysing and presenting people information to inform decision making

Indicative content

The use of HR analytics to aid decision making, to evaluate the efficiency and effectiveness of practices, and forecast future trends; using the principles of evidence-based HR to analyse business problems and formulate good questions; using MS Excel to compute inferential statistics (correlation, cross-tabs, t-tests, ANOVA etc.), to produce pivot tables and charts to compare between variables, and to map trends across time; the application of HR Analytics to key areas of practice including recruitment and selection, training planning and evaluation, organisational planning and budgeting, employee satisfaction and engagement, turnover and exit, reward and compensation.

Teaching and learning activity

Sessions will include tutor delivered materials focusing on the development of knowledge about HR analytics principles, and practical MS Excel-based activities focused on techniques for analysing and presenting data. Students will work in groups to analyse and present data relating to specific business questions covering a range of areas of HR and business practice. In class activities will be supported by online self-study activities to include videos on Excel techniques, individual readings, and practical tasks. Formative feedback will be provided through in-class activities and online self-tests. The students will participate in 12, 2-hour sessions.

Assessment

Report - 100% weighting, 40% pass mark.
Outline Details - Report based on analysis and presentation of HR data to inform a specific business issue. 3,000 words.
Formative Assessment - Group Presentation.