Talent Analytics: Data and Tools

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент менеджмента

Статус:

Курс обязательный

Когда читается:

2-й курс, 2 модуль

Course Syllabus

Abstract

"Talent Analytics" course focuses on developing strategic and analytical skills essential for managing the entire employee lifecycle. Students will explore core areas of talent management, including talent acquisition, succession planning, learning & development (L&D), performance management, and retention strategies. Emphasis is placed on the selection and application of modern Talent Management tools, integration of AI technologies, and the use of key HR metrics for data-driven decision-making. Through seminars, practical workshops, and real-world case studies, participants will gain hands-on experience in building comprehensive talent strategies, designing data-based development programs, and applying predictive analytics to optimize employee engagement, performance, and organizational growth.

Learning Objectives

• Develop expertise in talent management processes: equip students with skills to design and manage comprehensive talent strategies across the full employee lifecycle, from acquisition to retention.
• Understand the role of AI and automation in Talent Management: introduce students to contemporary technologies transforming recruitment, employee development, and performance evaluation processes.
• Master the use of Talent Management tools: enable students to select, implement, and integrate modern technologies and platforms for talent acquisition, succession planning, learning & development, performance management, and retention.
• Apply data-driven approaches in Talent Management: prepare students to use key HR metrics, predictive analytics, and performance data to enhance employee engagement, career growth, and organizational effectiveness.
• Build capabilities in talent profiling and workforce planning: develop skills in creating talent profiles, managing talent pools, and applying strategic workforce planning techniques to meet business needs.
• Design strategies for enhancing employee retention and mobility: equip students with practical methods to improve employee satisfaction, internal career growth opportunities, and organizational loyalty through data analysis and targeted interventions.
• Integrate performance and grading systems into career and compensation frameworks: enable students to link employee evaluation results to career progression and reward systems, using evidence-based methodologies.

Expected Learning Outcomes

• apply Talent Management frameworks to design strategies enhancing employee engagement, development and retention
• select and implement key tools for talent acquisition, development, performance management and retention
• use HR metrics and analytics to assess and optimize talent processes across the employee lifecycle
• apply predictive analytics to workforce planning and talent development decisions
• communicate talent insights effectively through data storytelling and strategic reporting
• design integrated, data-driven Talent Management initiatives aligned with organizational goals

Course Contents

• Introduction to Talent management
• Talent Acquisition Tools
• Succession Planning & Talent Development Tools
• Learning & Development (L&D) Tools
• Performance and Grading Management Tools
• Retention Tools

Assessment Elements

• Talent management process
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Talent Acquisition Funnel optimization
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Talent mapping
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Individual development plan
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• 360-Degree feedback
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Retention analytics
  if the student missed the class, there is no option to rewrite this task, except for sickness absence. In this case, the student should notify the instructor about his/her sick leave. If a student missed the class, there is no option to get a grade excepting for sickness absence, in this case, he/she should discuss extra activities with instructors.
• Final project
  presentation on a topic chosen by the group on Talent Analytics. Topics will be provided at the beginning of the course.

Interim Assessment

• 2025/2026 2nd module
  0.1 * Talent mapping + 0.05 * 360-Degree feedback + 0.25 * Final project + 0.1 * Individual development plan + 0.2 * Retention analytics + 0.2 * Talent Acquisition Funnel optimization + 0.1 * Talent management process

Bibliography

Recommended Core Bibliography

• The oxford handbook of talent management, , 2019

Recommended Additional Bibliography

• Liu, Y. (2019). Research Handbook of International Talent Management. Cheltenham, UK: Edward Elgar Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2195053

Authors

• Миронова Алена Геннадьевна