Artificial Intelligence and Data Science

ARTIFICIAL INTELLIGENCE AND DATA SCIENCE (specialization Computational Intelligence and Data Science) – studies in English
Second-cycle (Master’s degree)

The program is addressed to candidates holding a Bachelor degree in related field of study such as Computer Science, Mathematics, Statistics, Engineering, or a similar discipline.

DURATION: 3 semesters
LANGUAGE: English
PACE: full time
INTAKE (classes start in): February

STUDY FORMAT: on-campus

INTRODUCTION:
Computational Intelligence and Data Science specialty is addressed to candidates interested in knowledge of modern methods of artificial intelligence and, in particular, computational intelligence and its applications, e.g. the analysis of big data and data mining. Obtained knowledge and experience allow working within processing statistical data including economic, marketing, medical, etc., which today is a key component of economic activity. The presented methods are also inseparable elements of modern systems processing data streams representing for example sound and image in the industrial and consumer devices. Graduates can therefore use obtained knowledge in a variety of design teams. Extremely important is also the ability to acquire experience in the use of specialized software.


ADMISSIONS:
A strong foundation in a related field such as Computer Science, Mathematics, Statistics, Engineering, or a similar discipline.
The understanding of mathematical principles including linear algebra, calculus, probability, and statistics.
An interest in research and development, with a willingness to engage in independent study, experimentation, and staying abreast of the latest advancements in AI and data science.


PROGRAM OUTCOME:
Proficiency in analyzing large datasets, identifying patterns, and deriving actionable insights using sophisticated statistical methods and machine learning algorithms.
Deep understanding of machine learning models, neural networks, and artificial intelligence techniques, enabling them to design, implement, and optimize intelligent systems and applications.
Expertise in data collection, cleaning, transformation, and storage, ensuring the integrity and usability of data for analysis.
Ability to conduct independent research, develop innovative solutions to complex problems, and stay updated with the latest advancements in AI and data science.
Strong problem-solving abilities, capable of applying theoretical knowledge to real-world scenarios, optimizing processes, and improving decision-making through data-driven.

ATTENTION 

Enrollment in the program is available to applicants who have provided complete information about their document in the “Education” tab (document details, grades received, and an attached scan of the document).

!!! UWAGA !!!

Możliwość zapisania się na kierunek dostępna jest dla kandydatów posiadających uzupełnione informacje o dokumencie w zakładce "Wykształcenie"  (dane dokumentu, uzyskane oceny, załączony skan dokumentu).

Kwalifikacja odbywa się na podstawie konkursu dyplomów.

Wymagany dyplom: inżynieria, magistra inżyniera lub równoważny.