Магистратура 2023/2024

Семинар наставника "Анализ больших данных в управлении персоналом"

Лучший по критерию «Полезность курса для Вашей будущей карьеры»

Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»

Лучший по критерию «Новизна полученных знаний»

Статус: Курс обязательный (Менеджмент и аналитика для бизнеса)

Направление: 38.04.02. Менеджмент

Кто читает: Департамент менеджмента

Где читается: Санкт-Петербургская школа экономики и менеджмента

Когда читается: 2-й курс, 1-4 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Волкова Наталья Владимировна, Кривогубец Александра Константиновна

Прогр. обучения: Менеджмент и аналитика для бизнеса

Язык: английский

Кредиты: 1

Контактные часы: 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 participation + 0.25 * Class discussion HR tech market + 0.25 * Group presentation + 0.25 * Class participation

Bibliography

Recommended Core Bibliography

• Predictive HR analytics : mastering the HR metric, Edwards, M., 2019
• The human element of big data : issues, analytics, and performance, , 2017

Recommended Additional Bibliography

• S Sreejesh, Sanjay Mohapatra, M R Anusree. Business Research Methods. An Applied Orientation. Springer Cham, 2014. https://link.springer.com/book/10.1007/978-3-319-00539-3

Authors

• Volkova Natalia Vladimirovna
• SMIRNOVA ALYONA ALEKSANDROVNA