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Regular version of the site

Data Analysis in Applied Research Specialization

Specialization Head: Denis Derkach,
Laboratory Head: Laboratory of Methods for Big Data Analysis

Description

The "Data Analysis in Applied Research" specialization is designed for students who want to build a career in research departments of major technology and engineering companies, analytical centers, or academic laboratories. The program focuses on in-depth training in research methodology, statistical modeling, and machine learning for solving research problems and creating new knowledge and technologies. Within the specialization, students study advanced analytical methods and gain hands-on experience working on real research projects, which prepares them for professional careers as data researchers, analysts in R&D departments, or research scientists.

Why Choose This Specialization?

· Focused on careers in research and scientific centers

· Deep immersion in the methodology and practice of scientific research

· Emphasis on creating new knowledge, models, and technologies

Advantages

· A unique combination of fundamental theoretical training and applied research skills

· Growing demand for data analysis specialists in the R&D sector

· A direct path to an academic career or work in innovative departments of companies

· Opportunity to contribute to the advancement of science and technology

Key Competencies

· Designing and conducting a full-scale scientific research study

· Developing and validating statistical and machine learning models for research tasks

· Analyzing and interpreting data in the context of scientific hypotheses

· Using specialized software for scientific computing

· Managing research projects and scientific data

· Academic writing and presentation of research results

· Critical thinking and working with scientific literature

Postgraduate Positions and Roles

· Data Scientist in R&D departments of technology and other companies

· Research associate in university laboratories and research centers

· Analyst in public and private analytical agencies

· Machine learning specialist in innovative projects

· Research project manager

  • Specialization Curriculum

    Year 3

    · Methods of Mathematical Modeling (modules 1–2)

    · Applied Statistics for Machine Learning (modules 3–4)

    · Research Seminar "Data Science in Applied Research" (modules 1–4)

    Year 4

    · Classical and Neural Modeling (modules 1–3)

    · Research Seminar "Data Science in Applied Research 2" (modules 1–3)

Requirements for Transferring to the Specialization

To transfer to the "Data Analysis in Applied Research" specialization, students are required to demonstrate an understanding of the principles of scientific inquiry, as well as basic skills in analytical data work.