The key aim of HSE’s Data Culture project is to provide all undergrads insight into the latest technologies used in data analysis. This way, students in management will be able to set clear tasks for analysts, while analysts, in turn, will be fast and efficient in building their models, and applied specialists will rely on the most cutting-edge data tools.
In 2017, Data Culture courses were offered as part of most undergraduate programmes at HSE. This year, the project is expanding to cover all professional programmes of the first cycle.
Data Culture: Details
HSE offers multiple programmes in data science with a particular focus on its different aspects. These programmes are delivered at the HSE Faculty of Computer Science, as well as MIEM and the Faculty of Business in Management (e.g., the Business Informatics programme).
In recent years, there has been steady growth in the share of programmes offered to data professionals. For instance, a Master’s programme in Data Science was launched in 2014, and, in 2017, another programme, delivered in collaboration with Sberbank, Financial Technologies and Data Analysis, was launched along with a programme in Statistical Learning Theory, which is taught entirely in English. This list is now being expanded. Students enrolled at the HSE Faculty of Humanities are now offered a Minor in Digital Humanities, which gives them key knowledge on the latest research approaches and methods with a particular focus on computer-based text processing in such fields as history, literature, linguistics and cultural studies.
Since 2015, all undergraduate students at HSE can sign up for a Minor in Data Mining, which has been growing in popularity. Courses offered under this Minor equip students with a set of multi-purpose skills in data science. Students from virtually all HSE programmes — from philologists to mathematicians — opt for this course despite its overall complexity.
Furthermore, students retain the right to choose what they want to learn under their degree programmes. They may opt for Minors (including the Data Mining Minor and those offered at the HSE Faculty of Humanities) and blocks of elective courses. For instance, if a management student wants to learn more about how machine learning can be applied in marketing, they may add such a course to the elective part of their individual curriculum. To summarize, each group of degree programmes, where students have similar backgrounds in data science, has its own unique offerings of Data Culture courses. The range of these courses is shaped on the basis of the needs of a specific academic field, and, therefore, a group of degree programmes may have common compulsory courses and electives, which, in turn, offer in-depth training in data science.