Магистратура
2026/2027
Семинар наставника "Аналитика данных для экономики"
ID 1164887
Статус:
Курс обязательный (Аналитика данных для бизнеса и экономики)
Кто читает:
Департамент экономики
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:
16
Course Syllabus
Abstract
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
- Learning Objectives To help students gain necessary background in data analytics for business and economics. To help students choose the individual learning path that matches to their future career development. To help students find a path for their research projects in economics and data analytics. 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
- Identify legal obligations when handling personal data
- Recognize potential ethical pitfalls in a given analytical task
- Select an appropriate research design for a given business problem based on validity, feasibility, and ethical constraints
- Identify current trends in management and economics research
Course Contents
- 1. Soft skills for analysts
- 2. Data analytics as a professional activity
- 3. Academic and applied research in data analytics: methods and trends
- 4. Ethical and legal issues of data analytics
Assessment Elements
- In-class activity: Thematic seminars
- In-class activities: Soft skills
- Homework
- Essay
- In-class activities
Interim Assessment
- 2026/2027 4th module0.5 * In-class activity: Thematic seminars + 0.5 * In-class activities: Soft skills
- 2027/2028 4th module0.3 * In-class activities + 0.3 * Homework + 0.4 * Essay
