BUSI3531: People Analytics

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• Provide students with theoretical and empirical knowledge to become proficient people analysts.
• Develop students' ability to identify people management problems in organizations, understand their root causes, and develop evidence-based interventions.
• Build statistical knowledge and programming skills for analyzing quantitative data to inform personnel-related decision-making.
• Cultivate critical thinking to evaluate quantitative findings, consider ethical dilemmas, and balance trade-offs in data-driven decisions.

• Hiring and talent analytics
• Performance analytical models
• Rewards, promotion, and compensation analysis
• Employee turnover and survival analysis
• Employee networks and relational analytics
• Equity analytics in organizations

Subject-specific Knowledge:

• Students will gain:
• In-depth knowledge of applying data analytics to people management.
• Familiarity with both traditional statistical methods and emerging machine learning techniques.
• Advanced understanding of evidence-based decision-making in organizational contexts.

Subject-specific Skills:

• By the end of the module, students will be able to:
• Identify, organize, and interpret data to solve people management issues in organizations.
• Apply appropriate analytical techniques to quantitative data in organizational contexts.
• Develop data-driven solutions and interventions for organizational challenges.
• Specifically, students will be able to:
• Analyse candidate data to inform hiring and promotion decisions
• Assess employee performance data to identify areas for improvement
• Determine when and why employees leave the organization
• Identify connections and gaps within employee networks
• Investigate the causes and outcomes of differential treatment of employees

Key Skills:

• Proficiency in advanced quantitative data analysis
• Advanced statistical and programming literacy
• Effective written and visual communication of data-driven insights
• Critical thinking and evaluation skills

• The module will be delivered through weekly lectures and biweekly seminars. Lectures will cover conceptual frameworks, empirical research findings, and business cases. Seminars will include data analysis exercises and hands-on training in quantitative methods.
• The summative assessment is project-based and will require students to analyze real-world data from an organization facing a specific people management problem. Students will integrate theoretical knowledge with quantitative data analysis to make evidence-based recommendations. They will produce a report that includes the quantitative findings of their analysis, along with insights and recommendations derived from the analysis (maximum 900 words) and will undertake a data analysis exercise (maximum 100 words).
• The formative assessment will provide students with the opportunity to practice the skills they will need for the summative assessment, as well as to receive useful feedback to guide their learning. The summative will require students to analyse real-world data from an organization facing a specific people management problem.

The formative assessment will provide students with the opportunity to practice the skills they will need for the summative assessment, as well as to receive useful feedback to guide their learning. The formative assessment will be an individual assignment requiring students to analyze real-world data from an organization facing a specific people management problem. Students will produce a report that includes the quantitative findings of their analysis, along with insights and recommendations derived from the analysis (maximum 900 words, excluding tables).

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