Data, Culture and Visualization
Partner University: ITMO UniversityPlace of Study: Russia
Outcome (diploma or credits): Master of Science (ITMO University)
Duration: 2 years, 120 credits
Application Deadline: 15 July 2019
Admission Requirements: Bachelor’s degree in the field of social science, humanities, computational science or equivalent, with excellent/good grades; CV & motivation letter; upper-intermediate level of English (B2 according to CEFR)*
Annual Tuition Fee: 214,000 rubles for Russian students; 234,000 rubles for international students
Career Options: the program’s graduates will develop all the knowledge and skills necessary for successful work in the academic and research sector, social media management, analytics, website, CRM and metrics management, digital advertising, market research, and marketing, as well as in cultural heritage management and other creative industries.
This international Master’s program addresses the growing demand for researchers, analysts, mapmakers, designers, usability experts, and other data professionals both in Russia and abroad. Drawing on the International Digital Humanities Research Lab’s and Machine Learning Lab’s strengths in the field of data analysis and visualization, the program trains students for managing the full lifecycle of cultural data, from data acquisition and storage to statistical analysis, interpretation, and dissemination of data artifacts through visual and narrative means. The program trains highly-qualified data professionals with strong statistical and technical skills and competencies in research, communication, and design.
The students will learn:
- to ask complex questions regarding cultural data and apply appropriate methods to answer these questions;
- to formulate accurate interpretations of cultural phenomena and share them effectively through visual and narrative means;
- to choose and apply appropriate tools for cultural data collection, storage, manipulation, analysis, visualization, dissemination, and preservation, as relevant to their goals, tasks, and target audience;
- to understand the way data affects society and raise critical questions about cultural data, its interpretation, and visualization.
The content of the Program
The list of disciplines
- Project Management (Entrepreneurial Culture) - 4 credits
- English for Specific Purposes - 2 credits
- Emotional Intelligence - 4 credits
- Digital Culture - 6 credits
- Ethics in Science and Technology - 3 credits
- Data processing and Analysis
- Applied Artificial Intelligence - 3 credits
- Cultural Data Mining and Analysis - 3 credits
- Introduction to the Digital Humanities - 4 credits
- Database Design and Development - 3 credits
- Information Design - 3 credits
- Mapping and GeoHumanities - 4 credits
- Data Visualization Methods - 5 credits
Major 1 Cultural Data: Methodology and Tools
- Big Data and Humanities - 4 credits
- Qualitative and Quantitative Approaches - 4 credits
- Research Methods in Cultural Context - 3 credits
- Basics of Culturomics
- Network Analysis - 3 credits
Major 2 Cultural Data Analytics (Advanced)
- Programming Languages - 4 credits
- Machine Learning - 3 credits
- Natural Language Processing and Pattern Recognition - 4 credits
- Ontology Engineering and Semantic Technologies - 3 credits
- Applied Graph Theory and Network Analysis - 3 credits
Practical Training - 45 credits
Practical Training for Master’s Thesis - 9 credits
Master’s Thesis - 6 credits
*The applicants are required to pass entrance examination successfully.
How to apply?
To apply, please follow our step-by-step application guide.
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