BIG DATA ANALYTICS

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 labour market.

Benefits of the programme

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.
Flexible study and payment schedule.
A wide range of discounts.

Degree awarded

Social sciences master's degree in economics

CP / ECTS

60 CP / 90 CP

Accreditation

Until 2027

Study form

Full time evening studies

Language

Latvian or English

Tuition fee per year

4050 EUR (for citizens of EU, EEA, CIS countries, Georgia, Ukraine)

4500 EUR (other countries)

Programme length

1,5 year

Programme director

Dr. phys., doc. Ivars Godmanis

Phone: +371 26626187; e-mail: ivars.godmanis@riseba.lv

Programme curriculum

Module No. 1: Economic and Business Processes 12 credits (18 ECTS)	Module No. 2: Big Data Management 14 credits (21 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	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