Магистратура
2026/2027
Семинар наставника "Аналитика данных для бизнеса"
ID 1164697
Статус:
Курс обязательный (Аналитика данных для бизнеса и экономики)
Кто читает:
Департамент менеджмента
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
1-й курс, 1-4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
36
Course Syllabus
Abstract
The seminar is intended for students enrolled in the track “Quantitative Business 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.
Learning Objectives
- To help students gain necessary background in data analytics for business
- To help students choose the individual learning path that matches to their future career development
- To help students find path for their research projects in management
- To impose the sustainable development component in students' research activities
Expected Learning Outcomes
- Recognize how different behavioral personality types influence communication and decision-making
- Use active listening techniques
- Apply techniques of effective handling objections and resolving conflicts
- Describe the main responsibilities, tools, and skills of a professional data analyst
- Identify the specificsindustry sectors where data analytics is applied and give concrete use cases
- Build individual learning trajectory and career development path
- Identify legal obligations when handling personal data
- Recognize potential ethical pitfalls in a given analytical task
- Identify risks of fairness concerns and suggest a mitigation strategy
- Distinguish between academic research and applied research in management
- Select an appropriate research design for a given business problem based on validity, feasibility, and ethical constraints
- Identify current trends in management research
- Recall and define core statistical terms and measures
- Recognize basic mathematical concepts relevant to business data analysis
Course Contents
- Foundational mathematics and statistics for data analysis (Refresher)
- Soft skills for analysts
- Data analytics as a professional activity
- Academic and applied research in management: methods and trends
- Ethical and legal issues of data analytics for business
Assessment Elements
- In-class activities_soft skills
- Quizes 1
- In-class activity_Thematic seminars
- In-class activities 2
- Homework 2
- Essay 2
Interim Assessment
- 2026/2027 4th module0.3 * In-class activities_soft skills + 0.3 * In-class activity_Thematic seminars + 0.4 * Quizes 1
- 2027/2028 4th module0.3 * In-class activities 2 + 0.3 * Homework 2 + 0.4 * Essay 2
Bibliography
Recommended Core Bibliography
- AI ethics, Coeckelbergh, M., 2020
- Business research methods, Cooper, D., 2006
- Essentials of business statistics, Jaggia, S., 2014
- The IT professional's business and communications guide : a real-world approach to comp TIA A+ soft skills, Johnson, S., 2007
Recommended Additional Bibliography
- AI Ethics and Governance, Black Mirror and Order, Zhiyi Liu, Yejie Zheng, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022, 978-981-19-2531-3, published: 20 May 2022
- An introduction to mathematics for economics, Asano, A., 2013
- Business analytics : data analysis and decision making, Albright, S. C., 2020