Master's Programme Łódź, Łódzkie 🌐 English

Computer science

University of Humanities and Economics in Lodz logo

University of Humanities and Economics in Lodz

Faculty of Computer Science, Management and Transport

Łódź

Łódź, Poland

Duration

4 semesters

ECTS Credits

yes

Degree

Master degree in Computer Science

Key Details

📚 Field of Study
Technological sciences
🎓 Degree Level
Master's Programme
📅 Mode of Study
full-time programme
⏱️ Duration
4 semesters
📋 ECTS Credits
yes
🏆 Degree Awarded
Master degree in Computer Science
📆 Application Deadline
30 September 2026
🗓️ Semester Start
1 October 2026
🌐 Language
English

Programme Description

Second-cycle studies in English

The general curriculum for master's studies in English is also equivalent to the Polish general curriculum. It aims to provide all students with solid, common competences in advanced software engineering, modern programming technologies (Python) and system security and quality.

In particular:

Data processing technologies

The Data Processing Technologies specialisation in the Master's degree programme (second cycle) in English is also equivalent to the Polish version of this specialisation in the second cycle. The programme deepens knowledge and skills in the field of advanced analysis, management and processing of information. The programme focuses on modern methods and tools used to work with large and complex data sets. Students explore advanced machine learning techniques and Big Data processing technologies. Emphasis is placed on the design of advanced database systems and data exploration to discover patterns and knowledge. The programme also covers specialised topics such as Intelligent Text Processing, which opens up opportunities in the analysis of unstructured data. This development path prepares graduates to take on roles as data scientists, data analysts, Big Data engineers, and designers of advanced IT systems in organisations that base their strategies and decisions on data.

 

Why is IT at AHE the best choice?

Choosing to study IT at AHE is a decision that will provide you with a solid foundation in the IT industry and the opportunity to choose a unique specialisation called Artificial Intelligence (AI). Why you should take advantage of our educational offer:

Specialisations that meet market demand: AHE offers specialisations in dynamically developing fields such as ‘Artificial Intelligence (AI)’, ‘Programming Technologies’ and ‘Telecommunications Networks’, which increases your chances of an attractive career.
The programme provides thorough knowledge of programming, database systems, web technologies and software engineering.
You will gain practical IT knowledge and technical skills in the use of IT hardware and software.
You will learn about the new AI specialisation (machine learning, deep learning, computer vision, NLP).
You will learn using methods that stimulate creativity: design, workshops and case studies, thanks to which you will learn about real problems in the IT profession.
You will start learning modern technologies and programming languages (C/C++, Python, Java, web frameworks, CI/CD).
You will learn how to design and implement websites.
You will be able to program various types of applications and games.
You will learn the principles of database design and database management tools and techniques.
By choosing the AI path, you will gain specialist knowledge (AI frameworks, machine learning, reinforcement learning, LLM, computer vision, AI ethics).
You will learn how to design and administer IT systems.
You will learn how to design, implement and operate computer networks and use various operating systems.
You will gain practical education tailored to the current needs of the labour market.

Employment prospects

AHE computer science graduates have a wide range of career opportunities in IT, thanks to their solid foundations and specializations:

Programming Technologies: Web application development and testing, CI/CD, DevOps.
ICT Networks: Network design, construction, and administration, cybersecurity.
Artificial Intelligence (AI): Machine learning, deep learning, natural language processing, LLM.

They will find employment in many sectors, including:

companies developing and implementing AI solutions, including large language models (LLMs). Graduates will be prepared to work on the creation, optimization, and implementation of LLMs (e.g., in chatbots and text generation systems). Sought-after roles include Data Engineer, LLM Engineer, and LLM Implementation Specialist;
in institutions using IT and ICT systems;
in companies producing software and computer hardware;
in teams designing and administering networks;
in teams creating portals and websites;
in teams designing and managing databases;
in teams of analysts and programmers (developers);
in companies providing computer services;
in research and development institutions;
in technology startups.

Potential career paths:

Programmer
Software Engineer
Web Developer
Network Administrator
Cybersecurity Specialist
AI Engineer
Data Analyst
Data Engineer
LLM Engineer
LLM Implementation Specialist

Admission Requirements

How to Apply?

Step 1 – Choose Your Programme. Browse our English-language programmes and decide which one aligns with your academic background and career ambitions. 
Step 2 – Submit Your Application. Complete the online application form on our website. It takes only a few minutes and can be done from anywhere.
Step 3 – Upload Your Documents. Prepare and upload the required documents.
Step 4 – Receive Your Admission Decision. 
Step 5 – Arrange Your Visa. 
Step 6 – Start Your Studies. Arrive in Łódź, complete your enrollment, and begin your academic journey at AHE. Welcome to Poland!

Need Help Applying?

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University Information

University of Humanities and Economics in Lodz logo

University

University of Humanities and Economics in Lodz

Type

Non-public University

Faculty / Unit

Faculty of Computer Science, Management and Transport

Region

Łódzkie

City

Łódź

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Data sourced from study.gov.pl
Last updated: 5 July 2026

Programme information is provided by universities and may change. Always verify details during your consultation.