Master
2024/2025
Mentor's Seminar "Value Based Business Analytics"
Type:
Compulsory course (Master of Business Analytics)
Area of studies:
Finance and Credit
Delivered by:
Master's Programmes Curriculum Support
Where:
Faculty of Economic Sciences
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Irina Ivashkovskaya
Master’s programme:
Магистр аналитики бизнеса
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
Mentor’s workshop aims to develop academic framework to support the preparation of dissertation. It provides discussions and overview of: (1) the academic literature analysis to identify the relevant research models, hypotheses ,the variables and findings; (2) comparison of different academic articles related to the thesis topics to identify research gaps; (3) discussion and overview of research methods of and descriptions findings. Within the track on value -based business analytics the workshop focuses on corporate policies that lead to value creation, value capture and value destruction and finally aims to develop the framework for value resilience analysis. Special attention is given to detailed analysis of stakeholder value conception and its applications in different industries and types of businesses, how to develop the relevant stakeholder value driver’s trees for concrete companies and appropriate metrics to set up performance indicators.
Learning Objectives
- The workshop aims at developing research skills to solve a variety of complex business problems in different types of companies and industries with the special focus on value resilience of the companies and adjustments to different industries.
Expected Learning Outcomes
- gain a thorough understanding of the main steps of the literature search and analysis;
- develop skills in reviewing empirical literature that utilizes event study methodology
- understand how to use empirical literature to develop the algorithm for applied research relevant to the preselected projects;
- understand the difference between academic empirical studies and research based on case studies;
- gain the skills for structuring business problems in stakeholder value creation strategies following academic research findings in relevant areas;
- to develop the applied research models;
- • understand how to identify the best practices in value resilience in new economic and geopolitical environment and to adjust them to industry and company specifics;
- develop skills in critical thinking in different areas of finance research;
- gain the skills for structuring existing research findings and their relevance for solving research problems in corporate finance and value resilience;
- understand how to develop the variables (proxies0 for non-financial data to be applied in research;
- identify the best practices in value resilience in new economic and geopolitical environment and to adjust them to industry and company specifics;
- gain the skills in applying AI for literature analysis and value creation practices in different industries and organizational forms of companies;
Course Contents
- Topic 1. The instruments for literature classification. Expert from the HSE Library
- Topic 2. Your Future Master Thesis Requirements
- Topic 3. Introduction to the topics for projects within the track
- Topic 4. Literature analysis for the projects: stage 1
- Topic 5. Literature analysis for the projects : stage 2.
- Topic 6. The Road Map for the Dissertation. The Data.
- Topic 7. The Road Map for the Project: stage 2.
- Topic 8. Your Future Master Thesis. Discussing Best Practices.
- Topic 9. Literature analysis for Dissertation: stage 1.
- Topic 10. Literature analysis for Dissertation : stage 2.
- Topic 11. The Road Map for the Dissertation. Methods.
- Topic 12. The Road Map for the Dissertation. Case Approach.
- Topic 13. The Road Map for the Dissertation. The Data.
- Topic 14. The Road Map for the Dissertation. Discussing Quantitative Techniques and Robustness Check.
- Topic 15. Predefence.
Assessment Elements
- 1. First stage presentations of literature for projects
- 2. Literature analysis for the projects: stage 2 .
- 3. Literature analysis for the projects: stage 3
- 4. The Road Map for the Project : stage 1
- 5. The Road Map for the Project : stage 2. Conceptual Framework
- 6. The Road Map for the Project : stage 3. Research Model
- 7. Preliminary Findings.
- 8. Full text of structured literature overview.
- 9. Literature analysis for Dissertation: stage 1.
- 10. Literature analysis for Dissertation : stage 2.
- 11. The Road Map for the Dissertation. Methods.
- 12. The Road Map for the Dissertation. Case Approach
- 13. The Road Map for the Dissertation. The Data.
- 14. The Road Map for the Dissertation. Discussing Quantitative Techniques and Robustness Check.
- 15. Predefence.
Interim Assessment
- 2024/2025 4th module0.25 x (average mark for assignments 1,2 3)+ 0.25x x (average mark for assignments 4, 5,6,7) +0,5 (assignment 8- full text of literature overview)= final mark
- 2025/2026 4th module0.2 x (average mark for assignments 9, 10,11)+ 0.2x (average mark for assignments 12,13,14) +0,6 (predefence)= final mark
