Master 2022/2023

Mentor's Seminar "People Analytics"

Category 'Best Course for Career Development'

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Type: Compulsory course (Management and Analytics for Business)

Area of studies: Management

Delivered by: Department of Management

Where: St.Petersburg School of Economics and Management

When: 1 year, 1-4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Natalia Volkova

Master’s programme: Management and Analytics for Business

Language: English

ECTS credits: 1

Contact hours: 8

Course Syllabus

Abstract

The seminar is intended for students enrolled in the track “People Analytics”. The aim of this seminar is to support students in building their individual learning trajectories and defining individual educational outcomes. In particular, the academic mentor provides students with recommendations regarding the selection of elective courses within their Major and Magolego courses from the university-wide pool and master’s thesis preparation.

Learning Objectives

• • To help students to gain necessary background in People Analytics
• • To help students to choose the individual learning path that matches to their future career development
• • To help students to create their research projects in the broad area of Human Resource management
• • To impose the sustainable development component in students' research activities

Expected Learning Outcomes

• Able to present results of analytical and research activity
• Able to talk about basic theoretical concepts of Sustainable development.
• Students choose appropriate methods of research in Human resource management
• Able to take ethical approach to work in international and multicultural teams

Course Contents

• The RACI framework
• Analytics in work trends
• HR Tech market
• Master’s thesis discussion

Assessment Elements

• Class participation
  Participation in class discussion
• Group presentation
  Group presentation for sustainable development in HRM
• Class participation
  Participation in class discussion
• Class discussion HR tech market
• Final grade

Interim Assessment

• 2022/2023 4th module
  1 * Final grade
• 2023/2024 4th module
  0.25 * Class discussion HR tech market + 0.25 * Group presentation + 0.25 * Class participation + 0.25 * Class participation

Bibliography

Recommended Core Bibliography

• Nesrine Ben Yahia, Jihen Hlel, & Ricardo Colomo-Palacios. (2021). From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction. IEEE Access, 9, 60447–60458. https://doi.org/10.1109/ACCESS.2021.3074559

Recommended Additional Bibliography

• Fermin Diez, Mark Bussin, & Venessa Lee. (2019). Fundamentals of HR Analytics : A Manual on Becoming HR Analytical. Emerald Publishing Limited.

Authors

• SMIRNOVA ALYONA ALEKSANDROVNA
• VOLKOVA NATALYA VLADIMIROVNA