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Regular version of the site

Summary of Degree Programme

Field of Studies

01.04.02 Applied Mathematics and Informatics

Approved by
Academic Council protocol, October 27, 2017 No. 10
Last Update
Faculty Council, St. Petersburg School of Physics, Mathematics and Computer Science, protocol, August 16, 2021 No. 8.3.2.1-21/01
Network Programme

No

Length of Studies, Mode of Studies, Credit Load

2 years

Full-time, 120 ECTS

Language of instruction

RUSENG

Instruction in Russian with some courses in English

Qualification upon graduation

Master

Double-degree Programme

No

Use of online learning

With online tools

Tracks

2022/2023 Academic year

UX Analytics and Information Systems Design

Type: Applied
Track Supervisor: Suvorova, Alena
Language of instruction: Russian and English
Use of online learning: With online tools
Qualification upon graduation: Магистр
Key learning outcomes:
KLO-1: design information systems considering complex user interactions and stakeholder requirements
KLO-2: analyze data using modern methods of statistics and machine learning, visualize and present data in the formats necessary for decision making
KLO-3: develop components of intelligent systems based on Artificial Intelligence methods
KLO-4: analyze user needs and prototype systems, taking into account the preferences and characteristics of the user
KLO-5: reasonably selectsand apply modern computer technologies in professional activities in accordance with the specifics of the tasks
KLO-6: analyze the needs for information and knowledge necessary for the implementation of scientifically based information systems projects, motivatedly choose methods, tools and technologies for user research, prototyping, development and evaluation
Description of the professional field:
The skillset of the master's program graduates includes designing, prototyping, programming and the basics of developing and using software in the field of modern methods of data analysis in complex information systems.

The program expands the opportunities for graduates to acquire competencies demanded by the labor market and research activities in the following areas (ACM classifier):
  1. Information systems:
    • Data Management Systems
    • Information Systems Applications: Collaborative and social computing systems and tools, Enterprise information systems, Decision support systems
    • World Wide Web
  2. Human-centered computer
  3. Ubiquitous and mobile computing
  4. Applied computing:  Electronic commerce
Description of educational modules:
The core disciplines of the program are devoted to the state-of-the-art methods of data analysis, decision making, databases and analytical platforms.

The basic part introduces students to the methods of analysis and design of information systems, including mathematical and information models and approaches, methods for collecting and analyzing data about information systems, models of the system life cycle. Competencies are being developed in the field of user analytics and user behavior modeling with an emphasis on complex online systems.

The elective part allows to form an individual educational trajectory, including courses on human-computer interaction, the basics of psychology in IT, social aspects and behavior patterns in complex systems, IT economics, recommender systems and Artificial Intelligence. A variety of intercampus disciplines allows students to focus educational trajectory according to their preferences.

The research activities include participation in a research seminar and preparation of the final thesis.

The program is largely built around project activities, including
  • projects as separate units of the curriculum (on each course) - separate tasks from teachers or partner companies aimed at engaging in real practical or research activities
  • educational projects as a final part in the discipline (for most disciplines)
  • co-aligned projects for several disciplines (part of the project is carried out within the framework of one discipline, part - within the framework of another, for example, Analytical Systems Architecture and Human-Centered Design)
  • final thesis
Competitive Advantages
  • Unique topic
  • Project-based learning model
  • Interdisciplinarity: a full cycle of information systems design - both the technical part and user research
  • An oppotunity to study not only with a technical or mathematical bachelor's degree 
  • Focus on modern methods of research and modeling of behavior in complex socio-technical systems
  • Learning methods of prototyping and programming of complex systems
  • Focus on data-driven design
Professional Activities and Competencies of Programme Graduates

The skillset of the master's program graduates includes designing, prototyping, programming and the basics of developing and using software in the field of modern methods of data analysis in complex information systems.

The program expands the opportunities for graduates to acquire competencies demanded by the labor market and research activities in the following areas (ACM classifier):

  1. Information systems:
    • Data Management Systems
    • Information Systems Applications: Collaborative and social computing systems and tools, Enterprise information systems, Decision support systems
    • World Wide Web
  2. Human-centered computer
  3. Ubiquitous and mobile computing
  4. Applied computing:  Electronic commerce
Programme Modules

The core disciplines of the program are devoted to the state-of-the-art methods of data analysis, decision making, databases and analytical platforms.

The basic part introduces students to the methods of analysis and design of information systems, including mathematical and information models and approaches, methods for collecting and analyzing data about information systems, models of the system life cycle. Competencies are being developed in the field of user analytics and user behavior modeling with an emphasis on complex online systems.

The elective part allows to form an individual educational trajectory, including courses on human-computer interaction, the basics of psychology in IT, social aspects and behavior patterns in complex systems, IT economics, recommender systems and Artificial Intelligence. A variety of intercampus disciplines allows students to focus educational trajectory according to their preferences.

The research activities include participation in a research seminar and preparation of the final thesis.

The program is largely built around project activities, including

  • projects as separate units of the curriculum (on each course) - separate tasks from teachers or partner companies aimed at engaging in real practical or research activities
  • educational projects as a final part in the discipline (for most disciplines)
  • co-aligned projects for several disciplines (part of the project is carried out within the framework of one discipline, part - within the framework of another, for example, Analytical Systems Architecture and Human-Centered Design)
  • final thesis
Options for Students with Disabilities

This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. Special assistive technology and teaching aids are used for collective and individual learning of students with SEN and disabilities. The specific adaptive features of the programme are listed in each subject's full syllabus and are available to students through the online Learning Management System.

Programme Documentation

All documents of the degree programme are stored electronically on this website. Curricula, calendar plans, and syllabi are developed and approved electronically in corporate information systems. Their current versions are automatically published on the website of the degree programme. Up-to-date teaching and learning guides, assessment tools, and other relevant documents are stored on the website of the degree programme in accordance with the local regulatory acts of HSE University.

I hereby confirm that the degree programme documents posted on this website are fully up-to-date.

Vice Rector Sergey Yu. Roshchin

Summary of Degree Programme 'UX Analytics and Information System Design'

Go to Programme Contents and Structure