Master in Business Analytics and Big Data Systems
HSE University
Key Information
Campus location
Moscow, Russia
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
RUB 400,000 / per year **
Application deadline
Request info *
Earliest start date
Request info
* online applications are accepted for preliminary selection; online candidate interviews will be held with programmes; you have to upload your portfolio to the personal online account before August 10
** 200 000 – 400 000 RUB/year
Scholarships
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Introduction
(Previously—Master's program 'Big Data Systems')
The term ‘Big Data is used to describe the phenomenon of rapidly growing volumes of information on activities in all areas of contemporary society, the evolving technological capabilities to analyze these huge volumes of data, and the potential prospects for effective use of the results of this analysis to make forecasts and good administrative decisions.
The aim of the English-language program in Business Analytics and Big Data Systems at HSE University’s Graduate School of Business is to train specialists capable of assessing the impact of big data technologies on companies’ operations; developing new models of corporate information infrastructure using big data technology; overseeing the implementation of analytical tools and solutions for big data management; assessing the efficiency of such projects, and managing companies’ data.
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Admissions
Curriculum
What will I study?
On-site learning is offered at the Shabolovka HSE building (26 Shabolovka Ulitsa, Moscow, Russia). Classes take place in the evening (from 6:10 to 9:00 pm) on workdays and during the day on Saturdays, which allows our students to combine work and studies effectively. Instruction is entirely in English.
Courses are delivered by leading HSE teachers and visiting expert professionals. All teachers have experience successfully teaching in English.
The curriculum is composed of core subjects and electives that can be chosen based on a student’s individual starting competencies and satisfaction with course prerequisites. Subjects from other master’s programs (English-taught) can also be included in the individual curriculum.
Core Courses
- Economic and Mathematic Modelling
- Enterprise Architecture Perfection
- Methods and Tools for the Intellectual Analysis of Big Data
- Strategic Innovation Management
- System Analysis and Organization Design
Electives
- Advanced-Data Management
- Applied Blockchain in the Modern Enterprise Architecture
- Applied Machine Learning
- Big Data Based Marketing Analytics
- Big Data Collection, Storage & Processing in Heterogeneous Distributed Computer Networks
- Big Data Systems Development and Implementation
- Cloud Technologies
- Data Analytics and Visualization for Business
- Digital Platforms and Ecosystems of Modern Business
- Knowledge Management
- Leadership and Project Team Management
- Manufacturing Data Collection and Analytics
- Neural Networks and Deep Learning
- Predictive Modelling
- Theoretical Basics of Distributed Information Processing in Big Data Systems
The curriculum also includes the following bridging courses: Analysis for Business Systems, Data Science for Business Innovation, and Python for Data Science and AI.
Finally, a major focus of the program is the development of research competencies and practical professional skills.
Career Opportunities
Graduates of the program are cross-functional professionals who are able to effectively use next-generation digital technologies to effectively mine a variety of data and to use them to develop new products and services. Graduates also understand the technical aspects of big data systems; know how to use technical tools as well as methods to collect, process, and analyze data; and have the leadership and team management skills required to manage changes in organizations.
Graduates of our program are able to become organizers and leaders of companies’ digital transformations and become advocates of data-driven culture and management strategies. As such, they enjoy strong demand in Russian and international organizations that practice big data storage and use. They are also well-positioned for opportunities in organizations that have an interest in the effective digital transformation of their business processes on the basis of big data technologies.
Our graduates also have the ability to continue their studies at the doctoral level at HSE University, as well as in Ph.D. programs of international universities.