Master
2024/2025
Mentor's Seminar "People Analytics"
Type:
Compulsory course (Data Analytics for Business and Economics)
Area of studies:
Economics
Delivered by:
Department of Management
When:
2 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Natalia Volkova
Master’s programme:
Data Analytics for Business and Economics
Language:
English
ECTS credits:
2
Contact hours:
6
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
Assessment Elements
- Class participationParticipation in class discussion
- Group presentationGroup presentation for sustainable development in HRM
- Final gradeDashbord preparation for employee turnover
Interim Assessment
- 2024/2025 3rd module0.3 * Class participation + 0.4 * Final grade + 0.3 * Group presentation
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.