Tuition fee €4,600 per year
Application fee €200 one-time
Deposit €500 one-time
Registration fee €400 one-time

– Consultations for selection of HEI
– Migration & visa consultation
– Registration in the Baltic Center database
HEI admission documents’ check
– General testing for all Baltic Center HEIs – Admission Examination
– Student’s admission to HEI
– Documents’ arrangement for the payments to HEI
– Invitation for the embassy.
The period of preparation from week to two months
- You will access to admission system with extra BONUS information&
- You will have your own manager and curators on each stage of admission process.

You can receive DISCOUNT and pay only 250.00 EUR, for more information visit our FREE webinar “Education in Europe”.
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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.

Programme structure

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

Career opportunities

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.

Apply now! Fall semester 2022
Application period has ended
Studies commence
Sep 5, 2022

Application deadlines apply to citizens of: United States

Apply now! Fall semester 2022
Application period has ended
Studies commence
Sep 5, 2022

Application deadlines apply to citizens of: United States