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Course Syllabus

Master 2022/2023

Talent Analytics: Data and Tools

Type: Elective course (Management and Analytics for Business)
Area of studies: Management
Delivered by: Department of Management
Where: St.Petersburg School of Economics and Management
When: 2 year, 2 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Louisa Selivanovskikh
Master’s programme: Management and Analytics for Business
Language: English
ECTS credits: 3
Contact hours: 24

Course Syllabus

Full Syllabus

Abstract

This course is about (1) the design and implementation of talent management strategies, processes, and practices, as well as (2) the collection and analysis of data on talented workers for effective decision-making at the individual, group, and firm levels. This course adopts the viewpoints of different stakeholders (HR specialists, top management, talents) and addresses HR-related topics from a strategic perspective: conceptualization and operationalization of ‘talent’, global talent management and talent migration, technological (innovative) solutions to attracting, developing, empowering, and retaining ‘A’ players. The main objective of this course to learn to think systematically and strategically about the core aspects of managing a firm’s top performers and use analytical tools to build an effective HR system.
Learning Objectives

Learning Objectives

  • Develop and implement innovative ideas to solve business challenges (using talent analytics)
  • Learn to design and implement talent management strategies, processes, and practices
  • Understand the relationship between talent / talent management and firm performance
  • To learn to collect and analyze data on talented workers for effective decision-making at the individual, group, and firm levels
  • To learn to think systematically and strategically about the core aspects of managing a firm’s top performers
Expected Learning Outcomes

Expected Learning Outcomes

  • Ability to analyze problematic situations applying the system approach, work out a strategic plan
  • Ability to participate in analytical and consulting activities
  • Defend an originate and customized consulting project based on data and analytics
  • Ability to apply data analytics methods to solve business tasks
  • Ability to evaluate the effectiveness of talent management systems
  • Ability to critically assess a firm's capability to attract, develop, and retain talented workers
  • Ability to analyze innovative talent management strategies
  • Ability to design a talent management architecture
Course Contents

Course Contents

  • Introduction to talent analytics
  • Global talent management and talent migration
  • Technological and innovative solutions to effective talent management
  • Talent Analytics and HR metrics
Assessment Elements

Assessment Elements

  • non-blocking Class activities
  • non-blocking Online test
  • non-blocking Presentation: Consulting project (individual/group)
  • non-blocking Practice-oriented paper (group assignment)
Interim Assessment

Interim Assessment

  • 2022/2023 2nd module
    0.3 * Presentation: Consulting project (individual/group) + 0.2 * Class activities + 0.2 * Online test + 0.3 * Practice-oriented paper (group assignment)
Bibliography

Bibliography

Recommended Core Bibliography

  • Macro talent management : a global perspective on managing talent in developed markets, , 2019
  • The oxford handbook of talent management, , 2019

Recommended Additional Bibliography

  • Talent management in global organizations : a cross-country perspective, , 2019
  • The talent management handbook : making culture a competitive advantage by acquiring, identifying, developing, and promoting the best people, , 2018