Five Specialisations of the Faculty of Computer Science opened on HSE Online Platform
The first two weeks of these video lectures are available to try, free of charge. At the moment, the demand for specialisations which are integrated into bachelor's and master's degree programmes at the university, is growing rapidly — this is the next stage of the educational trajectory after short-term online courses.
At HSE University, this training format includes a series of courses (from 3 to 7) and a final project. The project is based on practical case studies and real industry data and is only implemented only if all prior courses have been successfully completed.
Julia Remezova, Director of eLearning
‘For those thinking about higher education in a digital format, this is a great chance to test the content, and the programme concept, experience the presentation of materials by lecturers, and to understand if the online format is right for you. This type of specialisation helps you to decide whether you want to devote several years to training and get a degree, or instead, focus on working on relevant skills to change your career track or develop your career in a short time. Lectures in a digital format allow you to adjust the training to your work schedule.’
Following market trends and employers' requests, most students choose HSE specialisations in the field of IT, economics and management. The average rating of the HSE comprehensive online products by students is 4.7 out of 5. Continuing its development in the field of information technology, HSE Online has opened five specialisations from the Faculty of Computer Science on the university platform.
Specialisation helps students focus on a specific area of competence and provides micro credentials, which will be confirmed by a certificate from HSE.
The Advanced Machine Learning specialisation, created jointly with Yandex has become the HSE's most popular programme in English. Students get acquainted with Bayesian methods in ML, the processing of data arrays of the Large Hadron Collider and the physics behind the production of giant streams of information, as well as learning how to win professional competitions through studying the best cases on Kaggle.
Specialisation courses teach students to find high-precision solutions and build algorithms that will help them stand out from other applicants. The skills of working with data in a highly competitive environment will help students to develop in various areas where machine learning specialists are required, from insurance and marketing to natural language processing (NLP).
Alexander Gushchin, Product Engineer at Iterative.ai, author of the course ‘How to Win a Data Science Competition: Learning from Top Kagglers’, part of the ‘Advanced Machine Learning’ specialisation
‘By solving Kaggle competition cases, you will gain practical experience of working with real data in varied areas of ML, which will broaden your horizons and help you cope with unfamiliar tasks more easily. By studying other people's solutions and finding ways to improve them, you will learn how to generate ideas and find new approaches. The ability to apply non-trivial and simple solutions to complex problems is extremely valuable for a career in data analysis. In addition, the competitions are extremely interesting in and of themselves. Perhaps this is the most exciting way to teach and learn that people have ever come up with.’
The specialisation ‘Mathematics for Data Analysis’ is a starting point for a career in Data Science. It was designed by taking into account the key tasks of the industry, and updates the skills necessary for developing a career in the data sciences. To work with data at a serious level and understand the principles of machine learning, you need to know the mathematical basics which are responsible for the functioning of models and structures in Data Science. This specialisation looks at a wide range of mathematical tools and considers some of their applications in data analysis. There are courses dedicated to discrete mathematics, linear algebra, mathematical analysis and probability theory, and each course is practice-oriented. For international students who want to master terminology in the original language, there is an English—language specialisation ‘Mathematics for Data Science’.
The specialisation ‘Industrial Machine Learning’ allows you to master methods of big data processing and learn about the process of creating, implementing and supporting a full-fledged solution based on data mining. Students will learn how to work with the most common data sources, develop and run algorithms on Hadoop and Spark platforms, work with the command line in Linux, and organize the process of marking up the collected data.
The specialisation ‘Machine Learning: From Statistics to Neural Networks’ starts with the study of Python tools for data analysis. Students then go on to learn about classical machine learning, statistical methods and their applications for model analysis, working with time data and A/B testing. The final section of the course is dedicated to the essentials of deep learning. It answers the question of how modern neural networks are trained and how exactly they help people achieve outstanding results in image and text analysis.
To learn more about these online courses, specialisations and programmes on HSE Online please visit our webpage (in Russian).
HSE University is also opening access to the following specialisations of HSE online programmes:
Online Master of Finance programme, Quantitative Finance specialisation;
Online Master of Business Analytics programme, specialisation Introduction to Value Based Business Analytics;
Online Master of Computer Vision programme, specialisation Basics in Computer Vision.
Access to all video lectures and assignments, as well as the opportunity to obtain a certificate of completion will be open after payment.