Плата за обучение 4 600 € за год
Плата за рассмотрение заявления 200 € один раз
Предоплата 500 € один раз
Регистрационный взнос 150 $ один раз

You need to choose student status:
Base – 150 USD
Standard – 500 USD
VIP – 900 USD
For making decisions please contact your admission manager in Baltic Center.
You become a part of student union and ambassador program automatically after you will get Base or Standard or VIP status.

*Do not forget to ask discount

Обзор

The objective of the academic master study programme Big Data Analytics is to provide studies that correspond to the newest technological solutions, recommendations of professional organisations and the demand from IT and ICT companies, banks, trade and public sectors for specialists in the new Big Data analysis field, as well as to prepare highly skilled and competitive specialists for the Latvian and global labor market.

The only programme in Latvia offering to study Big Data analytics in the field of economic processes.
RISEBA studies provide practical experience and the opportunity to learn from professionals of their respective fields.
The subjects of the programme will prepare students for employment in several economic sectors where there is an aggregation of a large amount of data.
Case studies, problem-solving and analytical research are all a part of the RISEBA learning process.
The programme has been developed in collaboration with employers and market requirements of several industries.
Field professionals contribute to the study process.
Individual approach to each student.

Структура программы

Module No. 1: Economic and Business Processes 12 credits (18 ECTS)
Introduction to Big Data Analysis: 1 credit
EU Politics and Economy: 1 credit
Strategic Management: 2 credits
Business Optimisation and Decision-Making: 2 credits
Project Management in Organisations: 2 credits
Economic and Mathematical Modelling: 2 credits
Business Risk Management: 2 credits

Module No. 2: Big Data Management 14 credits (21 ECTS)
Big Data Acquisition Methods: 2 credits
Data Management and Usage: 2 credits
Big Data Research Methods: 2 credits
Data Security Management: 2 credits
Open Innovation and Protection of Intellectual Property: 2 credits
Data Visualisation Methods: 2 credits
Artificial Intelligence in Business: 2 credits

Module No. 3: Methods of Big Data Analysis, 16 credits (24 ECTS)
Information System Requirement Analysis: 2 credits
Multivariant Models of Static Analysis: 2 credits
Blockchain Technologies: 2 credits
Forecasting and Modelling: 2 credits
Practical Project. Using data analysis software: 6 credits

Карьерные возможности

Graduates of the master’s programme will:
- be able to use different data acquisition and management methods;
- know the newest technological solutions;
- be able to use methods of Big Data analysis and visualisation;
- be able to use the acquired knowledge for economic process analysis and business growth.

Подать заявление! Осенний семестр 2023
Предварительный срок
20 июн. 2023 г., 23:59:59
Восточная Европа

Please ask your manager in Baltic Center about correct deadline for your country

Срок подачи заявлений
31 авг. 2023 г., 23:59:59
Восточная Европа

Autumn Intake

Начало обучения
4 сент. 2023 г.

Сроки подачи заявлений применяются к гражданам: Соединенные Штаты

Подать заявление! Осенний семестр 2023
Предварительный срок
20 июн. 2023 г., 23:59:59
Восточная Европа

Please ask your manager in Baltic Center about correct deadline for your country

Срок подачи заявлений
31 авг. 2023 г., 23:59:59
Восточная Европа

Autumn Intake

Начало обучения
4 сент. 2023 г.

Сроки подачи заявлений применяются к гражданам: Соединенные Штаты

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