Admissions to TUL for the Winter semester 2022/2023 for classes starting in October opens on June 15, 2022 and will last most probably till August 2022. However, because of a very dynamic situation in the world currently this might change. For this reason check our website regularly to see updates on deadlines and details.
On our website - www.rekrutacja.p.lodz.pl under " International Candidates" you can find information concerning the admission process including: the list of required documents, available courses, grades required for entry, tuition fees, scholarships, contest- study for free, language requirements etc.
You can also use our search engine to check the programmes offered at TUL and choose the most suitable ones - https://rekrutacja.p.lodz.pl/en/study-programmes?jezyk=307&jezyk=308
Thanks to the studies in MATHEMATICAL METHODS IN DATA ANALYSIS, you will discover knowledge that will allow you to explore data and make the right decisions based on it. Statistical data analysis will have no secrets for you, you will master the issues of classification, and you will learn to use stochastic methods in forecasting. The structure of the study program allows you to acquire not only mathematical knowledge that will enable you to build and evaluate data analysis models. You will also gain IT skills allowing for its practical use. In addition, by studying in English and gaining soft skills, in particular related to teamwork, you will be able to easily work in international companies. As a graduate of Mathematical Methods in Data Analysis, you can work wherever there is a need for database management, e.g. in the banking sector, in the insurance sector, in the medical market. Consultations of the study program with companies have shown that a graduate with such competences is very much in demand on the labour market.
the ability to use basic methods and algorithms of data mining in current programming environments (R, Python, VBA),
knowledge of algorithms and computational methods important in data mining, including algorithmic methods of linear algebra, machine learning (R) methods, Big Data,
ability to use information systems in extracting knowledge from data (R, SQL, Python),
experience in designing innovative business data analysis applications (Power BI, Python).
What you gain:
umiejętność posługiwania się podstawowymi metodami i algorytmami eksploracji danych w aktualnych środowiskach programistycznych (R, Python, VBA),
znajomość algorytmów i metod obliczeniowych istotnych w eksploracji danych, w tym algorytmicznych metod algebry liniowej, metod uczenia maszynowego (R), Big Data,
umiejętność wykorzystania systemów informatycznych w wydobywaniu wiedzy z danych (R, SQL, Python),
doświadczenie w konstrukcji innowacyjnych aplikacji analizy danych biznesowych (Power BI, Python).
Cooperation with companies:
A graduate of the field of study may work in the following professions:
database designer and developer.
A graduate may also undertake second-cycle studies in mathematics, statistics, IT or in the field of data analysis, both in Poland and abroad.