Master 2025/2026

Mentor's Seminar

Type: Compulsory course (Data Analytics and Social Statistics)

Delivered by: International Laboratory for Applied Network Research

Where: International Laboratory for Applied Network Research

When: 1 year, 1-4 module

Open to: students of one campus

Instructors: Nataliya Matveeva

Language: English

Contact hours: 8

Course Syllabus

Abstract

The seminar is aimed at facilitating the planning by undergraduates of their own educational and scientific trajectories and their implementation, as well as correction, if necessary. This goal is achieved through individual meetings of undergraduates with an academic mentor, meetings within small teams and within the entire academic group. The agenda of meetings is formed in advance by both the mentor and undergraduates, after which the mentor chooses the format for the implementation of the agenda.

Learning Objectives

• The planning by undergraduates of their own educational and scientific trajectories and their implementation, as well as correction, if necessary.

Expected Learning Outcomes

• Understanding the possibilities of the educational program, choosing a priority training track
• Understanding your interest and choosing the project topic, problematization of the topic
• Mastering the skills of research and academic work
• The ability to build a research project in the context of an educational program
• Planning the development of analytical skills
• Reflection on possible problems and difficulties

Course Contents

• The structure of Master thesis’ and the topic selection
• Research Proposal Overview
• Mastering the skills of research and academic work.
• Master's Thesis: Discussion and Presentation

Assessment Elements

• Term paper presentation
  The presentation assumes an oral presentation during the course or at an HSE open laboratory seminar or conference. Any additional place of presentation should be agreed upon separately.
• Term paper proposal
  The research proposal should include a short description of the following parts: Topic of Research, Research Problem (incl. shortcomings in the Literature) , Goal of the Study, Research Tasks, Object and Subject, Hypotheses, Data and Methods, Expected Results ,
• Master thesis presentation
  The presentation assumes an oral presentation during the course or at an HSE open laboratory seminar or conference. Any additional place of presentation should be agreed upon separately.
• Mater thesis proposal
  The research proposal should include a short description of the following parts: Topic of Research, Research Problem (incl. shortcomings in the Literature) , Goal of the Study, Research Tasks, Object and Subject, Hypotheses, Data and Methods, Expected Results

Interim Assessment

• 2025/2026 4th module
  0.6 * Term paper presentation + 0.4 * Term paper proposal
• 2026/2027 3rd module
  0.6 * Master thesis presentation + 0.4 * Mater thesis proposal

Bibliography

Recommended Core Bibliography

• Attewell, P. A., & Monaghan, D. B. (2015). Data Mining for the Social Sciences : An Introduction (Vol. First edition). Oakland, California: University of California Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=967323

Recommended Additional Bibliography

• Chu, W. W. (2013). Data Mining and Knowledge Discovery for Big Data : Methodologies, Challenge and Opportunities. Heidelberg: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=643546

Authors

• Pavlova Irina Anatolevna
• BOLDYREVA LYUBOV VLADIMIROVNA
• MATVEEVA NATALIYA NIKOLAEVNA