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From Foundations to Frontiers: AHE’s Computer Science Journey

Computer Science

The Computer Science programme at the Academy of Humanities and Economics (AHE) in Łódź offers a balanced blend of theory and hands-on practice for aspiring IT professionals. Designed to respond to the growing demand for specialists across industries, it equips students with skills in programming, network design and emerging technologies such as artificial intelligence. Both first-cycle (3.5-year engineering) and second-cycle (master’s) studies are available, with unique English-taught tracks attracting an international student body.

Table of contents

Practical focus on modern technologies

At AHE, practical education underpins every module. From day one, students engage with programming languages like C/C++, Java and Python, and explore frameworks for web development. Workshops and case studies immerse them in real-world scenarios—designing business applications or setting up CI/CD pipelines. Networking courses cover NetOps, 5G and secure infrastructure management, while AI modules introduce machine learning, deep learning, computer vision and natural language processing.

Structure of first and second-cycle studies

First-cycle engineering studies span seven semesters, culminating in an engineering degree. Graduates may enter the workforce directly or continue with second-cycle master’s studies, deepening their expertise in advanced software engineering and system security. Both levels mirror Polish-language curricula, but the English tracks expand opportunities:

  • First-cycle in English: Specialisations in ICT Networks, Programming Technologies and Artificial Intelligence.

  • Second-cycle in English: A general master’s curriculum with the option to specialise further in Data Processing Technologies.

Specialisations to match career goals

AHE’s range of specialisations allows students to tailor their path:

  • ICT Networks focuses on global standards and hands-on network operation.

  • Programming Technologies delves into web and distributed systems, version control, unit testing and professional tools.

  • Artificial Intelligence builds strong mathematical and algorithmic foundations, advancing into AI ethics, IP protection, and applications like GPT-based chatbots.

  • Data Processing Technologies (master’s) addresses Big Data, intelligent text processing and data exploration.

Each specialisation aligns with in-demand skills, ensuring graduates can step confidently into roles that suit their interests.

Career prospects and employability

AHE computer science alumni enter diverse sectors, armed with both broad IT foundations and specialised expertise. They benefit from a clear understanding of database systems, software engineering principles and contemporary tools such as Git, DevOps practices and cloud frameworks.

Graduates find roles in:

  • Companies developing AI solutions and large language models

  • Organisations relying on ICT systems

  • Software and hardware manufacturers

  • Network design and administration teams

  • Web development agencies

  • Database management departments

  • R&D institutions and technology startups

Potential job titles

Students completing AHE’s programme often pursue positions such as:

  • Programmer

  • Software Engineer

  • Web Developer

  • Network Administrator

  • Cybersecurity Specialist

  • AI Engineer

  • Data Analyst

  • Data Engineer

  • LLM Engineer

  • LLM Implementation Specialist

This variety reflects the programme’s broad yet practical curriculum, allowing graduates to find niches that match their skills and ambitions.

Summary

The Computer Science programme at AHE in Łódź stands out for its balanced blend of theory and practice, flexible English-taught options and industry-aligned specialisations. Designed for candidates aiming to build solid technical foundations and explore advanced fields like AI and Big Data, it supports clear pathways from study to career. By combining workshops, projects and case studies, AHE ensures its graduates are well-prepared to meet the evolving challenges of the IT sector.

Aptitude Test

Answer all questions to see if Computer Science is the right choice for you!

1. Do you enjoy solving logical puzzles and problems using clear, structured thinking?

2. Are you curious about how software, apps and systems are built and work under the hood?

3. Do you have a strong foundation or interest in mathematics?

4. Would you enjoy learning programming languages and writing code?

5. Are you comfortable working on long-term projects that require patience and persistence?

6. Do you enjoy collaborating with others in teams to design and build technology solutions?

7. Are you interested in learning about algorithms, data structures, and computational theory?

8. Do you like experimenting with new technologies, tools, and programming frameworks?

9. Are you comfortable debugging complex problems and troubleshooting errors?

10. Do you see yourself innovating and creating new software, apps, or systems in the future?


published: 2025-06-18
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