Master's in Computer Science (Data Processing Technologies Specialisation)
Advanced English-language master’s programme in Poland focusing on Big Data, machine learning, and AI-driven data systems.
Best for:Best for graduates with a BSc in computer science or related fields seeking hands-on experience in AI, machine learning, and data engineering with a focus on practical, market-driven specialisations.
Overview
This second-cycle (master’s) programme at the University of Humanities and Economics in Łódź offers a specialised track in Data Processing Technologies. Students gain expertise in advanced data analysis, machine learning, and Big Data technologies, with a focus on designing intelligent systems and processing unstructured data. The curriculum integrates modern programming (Python, C/C++, Java), database systems, and AI frameworks like machine learning, deep learning, and large language models (LLMs). Graduates are prepared for roles as data scientists, Big Data engineers, and AI specialists, with strong industry relevance in AI-driven organisations and startups.
What you'll do
- Develop advanced data processing and analysis skills using modern machine learning techniques and Big Data tools.
- Design and implement intelligent systems for processing large and complex datasets, including unstructured data.
- Explore and apply AI frameworks such as machine learning, deep learning, and large language models (LLMs).
- Gain hands-on experience with programming languages like Python, C/C++, and Java, as well as web frameworks and CI/CD pipelines.
- Learn to develop and administer IT systems, including database design and network management.
- Engage in practical projects and case studies to solve real-world IT challenges, fostering creativity and problem-solving skills.
Requirements
Degree required: Bachelor's degree in Computer Science or a related field
Degree offered: Master of Science (MSc) in Computer Science
Language: English; proficiency sufficient for academic study and research
Instruction: English
- Proficiency in programming languages such as Python, C/C++, and Java
- Basic knowledge of database systems and data management
- Understanding of fundamental software engineering principles
- Familiarity with modern IT hardware and software tools
- Open to international applicants
- No specific nationality restrictions mentioned
- No residency or age restrictions specified
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: unknown
Applicants must first choose the programme from the university’s website, complete an online application form, upload required documents, and await an admission decision. After acceptance, visa arrangements must be completed before starting studies.
- Online application form
- Bachelor’s degree certificate and transcripts
- Proof of English proficiency (if applicable)
- Curriculum Vitae (CV)
- Motivation letter or personal statement
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.