Module BUSI4BM15: Analytics for Human Resource Management

Department: Management and Marketing

BUSI4BM15: Analytics for Human Resource Management

Prerequisites

• None

Corequisites

• None

Excluded Combination of Modules

• None

Aims

• To equip students with relevant theoretical and empirical foundations to combine strategic human resource management with data science and statistics.
• To equip students with HR analytics techniques and related approaches for planning and conceptualizing evidence-based people strategies.
• To equip students with critical evaluation skills and abilities to assess evidence, potential ethical dilemmas, and trade-offs of data-driven strategies and decisions.
• To practice effective data communication, translating data into actionable insights to consult effectively, and deliver successful HR analytics projects for organizations.

Content

• Foundations of HR analytics
• Strategic approach in data-driven Human Resource Management
• Data as a key source of evidence in HR analytics
• Ethical dimension of people data
• HR Analytic tools and practices
• Planning, designing, and managing HR analytics projects
• Measuring and analysing data using data science and statistics
• HR analytics in international organisations
• Future direction of HR analytics and data driven decision making

Learning Outcomes

• In-depth theoretical knowledge and practical skills in applying analytics to strategic human resource management.
• Specialised knowledge in designing, planning, and managing HR analytics projects in organisations.
• An advanced understanding of the pros and cons of data-driven decision-making in human resource management.

• Design, implement, and critically evaluate Human Resource Management strategies using individual and organisational data and applying data analytics
• Apply system thinking and agile approaches to specific HR practices and complex workplace decisions.
• Plan and design analytics tools to create HR capability and inform decision-making.
• Translate data into actionable insights and communicate business solutions effectively.

• Effective written communication skills
• Planning, organising, and time management skills
• Problem-solving and analytical skills
• The ability to execute strategic objectives
• Advanced skills in the interpretation and communication of data
• Advanced statistical literacy skills

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• The module is delivered via a series of full-cohort weekly workshops to afford maximum flexibility to suit the dynamic nature of the subject matter. The workshops consist of lecture-style input, break-out discussions of special cases, data analysis exercises, and ‘hands-on’ training in HR strategy planning, data identification, developing measurement tools, and applying analytic methods.
• The summative assignment is designed to consolidate conceptual knowledge, demonstrate planning, creation, and analytics application skills, and enhance employability skills. It is project-based and requires students to produce and submit an evidence-based people analytics strategy for a company of their choice. Students are expected to combine strategic HRM with applied statistics and data analysis to make data-driven decisions and strategies.
• The project-based summative assignment is equivalent to a written assignment of 3000 words.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

Group exercises, designed as small-scale projects, are undertaken during the workshops and continuous feedback.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University