Business Analytics
The need for analytics is growing due to the abundance of data available. Business analytics includes quantitative and statistical analysis, machine learning, multivariate testing, predictive modelling, and multiple-criteria evaluation and decision support. It uses data to evaluate past performances and to draw up plans for the future.
In business analytics, we examine data through operational and statistical analysis, optimisation techniques, and the formation of predictive models. We communicate the results to business partners, customers, etc., in the most suitable way for the given task.
Business analytics leverages evidence-based data analysis and quantitative methods for decision-making and business modelling. It also utilises expert knowledge and qualitative data through soft computing methods to build models that are representative enough of the studied systems and their context. We aim to provide business intelligence, insights into business and industry processes, and advanced managerial decision support.
Your studies in this programme will focus on theoretical knowledge and technical skills in relevant business analytics methods, including data analytics, modelling, simulation, and multiple-criteria decision-making and evaluation methods and their practical use on real-world data in a real-world business or industry context. The software and tools applied during the course are standard in the industry.
The delivery of courses is blended. The programme is a combination of on-campus and online studies. Individual course descriptions mention the attendance requirements for the course.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi. ĮSIDĖMĖK, Prie anketos būtinai turi prisegti dokumentą (anglų kalba), patvirtinantį, kad studijuoji ir šiais metais baigsi savo studijas. Dokumentas turi būti patvirtinas universiteto administracijos.
Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Pastaba! Stojant į šio universiteto programas yra reikalingas geras bakalauro studijų įvertinimas, vidurkis turėtų būti 7 ir daugiau. Šie reikalavimai yra orientaciniai ir galutinį vertinimą ar turimų pažymių pakanka atliks LUT universiteto priėmimo komisija.
SVARBU! Anglų testo sertifikatas turi būti pateiktas iki 2025m. vasario 1 dienos.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
IELTS – 6.5
TOEFL - 90
You must complete one of the following degrees:
- Bachelor of Science in Economics and/or Business Administration. Completed in a universitywith a minimum of 80 ECTS credits of studies in Business Administration to be included in the degree.
- Bachelor of Business Administration Completed in a University of Applied Sciences with a minimum of 80 ECTS credits of studies in Business Administration to be included in the degree.
- Bachelor's Degree in a field other than Business Administration. Completed in a University with a minimum of 24 ECTS credits of studies completed in Business Administration required. GMAT Exam or GRE General Test with minimum required score/s required.
AND you must have completed
- a minimum of 24 ECTS credits of studies in Mathematics, Information Technology, Information Processing, Statistics, Operations Research and Management Science relevant to the programme
As a graduate, you will be a perfect fit for the business development and business analytics teams of global corporations and small and medium-sized enterprises.
You will be prepared for a career in business analytics and analytical business development as an analytics professional in an industrial or service company or as a consultant.
