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MScBusiness Big Data Analytics

Kaunas University of Technology Lithuania, Kaunas
Faculty of Mathematics and Natural Sciences
Course code 621H74002
More information

admissions.ktu.edu/..ss-big-data-analytics 

Overview

The study programme is focused on business big data, synergy in development of mathematical and computer science skills and competencies, development of mathematical models for business development decisions. Graduates are able to analyse the business big data, to identify business problems, optimize business processes, apply acquired knowledge and to create mathematical models and algorithms for business decisions and business insights development.

Top reasons to study:
1. KTU launched the first in Lithuania study programme for business big data analysis with strong engagement of industry partners to facilitate growing demand for the specialists in the field.

2. Practical seminars are conducted by Lithuanian and international experts from leading business companies (Western Union, Adform, Barclays, Execaster, etc.).

3. Case-based teaching and problem-based learning facilitates understanding of ongoing challenges and application of real-life solutions using Spark, Python, Scala, SAS, R software.

Programme structure

Analysis of business big data and decision making
Big data mining methods
Multivariate statistical analysis models
Optimisation and decision making
Time series analysis
Financial markets models

Analysis of business processes and identification of problems
Strategic Business Analysis
Project of business external data analytics
Project of business internal data analytics
Analytics of finance and accounting data
Financial management decisions
Business logistics analytics

Design of business systems, risk evaluation, prediction and optimisation
Business risk and uncertainty analytics
Marketing decisions modeling
Tax system simulation
Consumer analytics

Development of business big data analytic tools and design of software
Big data analytic tools
Business information technology
Information systems requirements analysis and specification
Metadata analysis and information portals

Apply now! Fall semester 2017/18
Application deadline
Jul 30, 2017 23:59 (GMT)
Studies commence
Sep 1, 2017
Apply now! Spring semester 2017/18
Application start
Sep 27, 2017
Application deadline
Nov 30, 2017 23:59 (GMT)

for TRANSFER (only transfer students are accepted)

Studies commence
Feb 1, 2018