To gain a competitive advantage, organisations require sophisticated and talented businesspeople who are technologically literate and have the ability to execute data-driven decision-making. Therefore, to keep thriving, employees’ competencies in organisations must be developed continuously. Organisations that can effectively manage people and data for decision-making are positioned strategically to leverage HRM information to support organisational objectives. This SLP provides managers with a practical approach to people management metrics and analytics that will enable professionals to apply data-driven decision-making to different situations and business scenarios, enabling them to contribute strategically to their organisations.
Purpose of the course
This short learning programme aims to equip managers and HR professionals with the knowledge, skills, and competencies to help them apply critical problem-solving and analytical competencies in their organisations. The course will provide a theoretical and fundamental understanding of the HR analytics process and demonstrate how HR analytics should be aligned with the strategic objectives of the organisation through managerial strategy.
Admission requirements
Admission requirements
This short learning programme aims to equip managers and HR professionals with the knowledge, skills, and competencies to help them apply critical problem-solving and analytical competencies in their organisations. The course will provide a theoretical and fundamental understanding of the HR analytics process and demonstrate how HR analytics should be aligned with the strategic objectives of the organisation through managerial strategy.
Learning assumed to be in place
Participants are expected to have an advanced understanding of HRM and management sciences. They should possess proficiency in HR analytics concepts, statistical analysis, and strategic decision-making in HRM. Strong critical thinking skills and the ability to apply theoretical knowledge to practical scenarios are also prerequisites for effective engagement with the course content.
Course outcomes and assessment criteria
Course outcomes and the associated assessment criteria
Outcomes |
Assessment Criteria |
Integrated knowledge and clear understanding of the theoretical underpinnings and fundamental principles of the HR analytics process within the context of management sciences. | Demonstrate adept knowledge of theoretical concepts pertinent to HR analytics within the context of management sciences. Articulate core principles of HR analytics with precision within the framework of management sciences. |
The capability to identify metrics and data sources that yield organisational insights, integrating perspectives from both human resource sciences and management sciences. | Identify pertinent metrics for gauging organisational performance, drawing from insights in both human resource sciences and management sciences. Evaluate data sources for accuracy and reliability effectively, considering principles from both disciplines. |
Proficiency necessary to align HR analytics with the strategic objectives of the organisation, employing principles from both human resource sciences and management sciences. | Exhibit an understanding of the organisation’s strategic objectives, integrating knowledge from both human resource sciences and management sciences. Align HR analytics initiatives seamlessly with organisational goals, leveraging insights from both disciplines adeptly. |
Competencies to initiate and oversee HR analytics projects to advance organisational objectives, employing methodologies from both human resource sciences and management sciences. | Strategise and execute HR analytics projects efficiently, utilising methodologies from both human resource sciences and management sciences. Demonstrate adept project management skills within the context of HR analytics initiatives, integrating principles from both disciplines. |
Expertise in analysing HR data to derive actionable insights for informed decision-making, integrating perspectives from both human resource sciences and management sciences. | Demonstrate adeptness in analysing HR data using suitable tools and methodologies, incorporating insights from both human resource sciences and management sciences. Interpret data insights accurately to inform decision-making processes effectively, drawing from principles of both disciplines. |
Enhanced skills in presenting HR analytics findings to stakeholders in a concise and persuasive manner, integrating communication strategies from both human resource sciences and management sciences. | Prepare and deliver presentations that succinctly convey HR analytics findings, incorporating communication strategies from both human resource sciences and management sciences. Tailor presentations to cater to the requirements of diverse stakeholders adeptly, integrating perspectives from both disciplines. |
Fostering a culture of continuous improvement by leveraging HR analytics for ongoing organisational development, drawing on principles from both human resource sciences and management sciences. | Identify improvement areas based on insights gleaned from HR analytics, incorporating principles from both human resource sciences and management sciences. Propose and implement strategies for organisational development informed by HR analytics adeptly, integrating insights from both disciplines. |
Assessment
Formative and Summative assessment - Certificate of successful completion
Method of assessment
Participants will have to submit one individual assignment and one group assignment (formative assessment) and compile one written portfolio of evidence (summative assessment).
Additional information
Programme number
M30 100 1
Mode of delivery
Mixed
Target group
The course caters to individuals across various managerial backgrounds, who are eager to develop their skills and competencies in managing HR analytics and apply data-driven decision-making to enhance organisational performance and strategic outcomes.
Duration
6 weeks
Contact us
Contact person name
Mr Stephan van Zyl
Contact person e-mail
Stephan.vanZyl@nwu.ac.za
Contact person telephone number