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Module

NBS8607 : HR Analytics

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Shoaib Ul Haq
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 10
ECTS Credits: 5.0

Aims

• To examine the use of data to understand and improve how people are managed in organizations.
• To query, manage, analyse and visualise data using latest software to conduct people analytics, preparing students to gather data of their own, and making them more skilled analysts.
• To manage independent learning in order to deepen knowledge and reflection on the topic through a range of learning activities that might include extended reading, reflection, research and practical exercises.

Outline Of Syllabus

1. Articulate the concept of HR analytics
2. Identify HR needs and opportunities arising from data
3. Process, store and convert data from one or more sources into a format suitable for analysis
4. Use appropriate descriptive and predictive modelling techniques
5. Using HR analytics to solve HR problems such as (a) selecting the right people for the job; (b) evaluating and managing performance; (c) increasing engagement and reducing attrition; (d) improving diversity and access to opportunity within the workforce

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture72:0014:00PIP Lectures
Guided Independent StudyAssessment preparation and completion130:0030:00N/A
Guided Independent StudyDirected research and reading133:0033:003 hours per teaching week
Scheduled Learning And Teaching ActivitiesSmall group teaching31:003:00PIP Seminars
Scheduled Learning And Teaching ActivitiesDrop-in/surgery11:001:00Online drop-in session
Guided Independent StudyIndependent study119:0019:00N/A
Total100:00
Teaching Rationale And Relationship

Lectures provided at the beginning of a class are used to present the underlying theory with emphasis on choosing appropriate methods in relation to business needs and dedicated applications. A workshop environment will then allow the students to:
1) Interpret theory through relating the taught material to real world business problems;
2) Conduct data analysis by using software to demonstrate how to evaluate and improve people and business performance

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M1002,000 words
Formative Assessments
Description Semester When Set Comment
Case study2MN/A
Assessment Rationale And Relationship

Formative assessment

The module has been designed so that students will work on some of the elements required for their summative assessment during the teaching sessions throughout the semester. Students will be invited to discuss their progress in class as a case study. This has a number of benefits:

• Student are producing work that can be used for their summative assessment
• Students can debate and share good practice
• Students will receive feedforward on these discussions.

Summative Assessment
The final report is designed to allow students to provide a reasoned case for data analytics and a critical appraisal of the managerial implications for implementing a chosen solution. The individual component must be submitted in the assessment period following the taught elements. Each student will be required to produce a 2000 word report. The report must be supported by data analysis and reflective comment.

Feedback Strategy
Formative: as stated earlier, there will be a number of opportunities where formative feedback will be provided throughout the module, particularly in relation to practical tasks.

Summative: For each component of assessment there is a respective standard marking criteria that will indicate how marks are allocated to the work, alongside the annotated comments on the work and overall summary comments

Reading Lists

Timetable