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Study MSc Computer Science

Fees, Modules, Entry Requirements & Application for Bangladeshi Students

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The MSc Computer Science at the University of Debrecen is a full-time 2 Years Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Main Campus campus in Debrecen, Hungary, the course offers a balanced mix of academic study and practical experience.

Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a yearly competitive international tuition fee of $ 7,500 Starting each September, February, it is designed to equip students with essential skills for advanced study and professional growth.

The University of Debrecen offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the Hungary through this program.

Course Highlights

Computer Science, MSc students are able to use and develop the theoretical knowledge acquired in BSc courses at a more advanced level. Using this knowledge as a foundation in the long run, they can work individually or in a team. Their responsibilities include the development, creation, implementation, introduction, operation, and service of IT systems. They also possess skills that enable them to cooperate and create models needed for solving IT tasks related to their specialization. Successful students possess appropriate knowledge enabling them to use their skills in an innovative way in order to carry out research and development tasks in fields such as:

  • formatting complex IT problems, examining the theoretical and practical background for their solution.
  • completing tasks connected with planning, developing, operating and managin related to the operation of complex software systems.
  • assessing the business, marketing and innovative values of planned or implemented IT systems, validating software products.
  • planning and implementing specific tasks in quality management.

Course Modules

Machine Learning Basics 6 Credits
Algorithms 3 Credits
Cryptography 6 Credits
Information Systems 3 Credits
Operation Research 3 Credits
Geoinformatics 3 Credits
Advanced XML Technologies 6 Credits
NoSQL Databases 3 Credits
Sensor Networks and the Internet of Things 3 Credits
Optimization Algorithms 6 Credits
Data Mining 6 Credits
Computer Graphics 6 Credits
Advanced Inference Methods 6 Credits
Logical Algorithms 3 Credits
Advanced Cloud Computing 3 Credits
Image Processing and Medical Imaging 6 Credits
Thesis 1 15 Credits
Geometric Modelling 3 Credits
Coding Theory 3 Credits
Theory of Neural Networks 3 Credits
Models of Computation 3 Credits
Visualization and Visual Analytics 6 Credits
Advanced Software Architecture Patterns 3 Credits
Text and Webmining 3 Credits
Information Systems in Practice 3 Credits
Advanced Software Engineering 6 Credits
Declarative Programming 6 Credits
Data Science Lab 3 Credits
Advanced Machine Learning 6 Credits
Thesis 2 15 Credits

Learning Structure

  • Lecture, seminar: 50%
  • Practice: 50%

Entry Requirements

  • A second class Bacheor degree in computing or a relevant information technology discipline.

English Language Requirements

IELTS  Overall 6.0

Listening

5.5

Reading

5.5

Writing

5.5

Speaking

5.5
Language Accepts: IELTS, TOEFL
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Got TOEFL, PTE, Duolingo, LanguageCert or OIETC? Instantly check your IELTS equivalency and see if you qualify for your dream university!

Documentary Evidence List

  • Bachelor's Transcripts
  • Degree Certificate
  • English Test (IELTS/ TOEFL)
  • Motivation Letter/ SOP
  • 2 Recommendation Letters
  • Updated CV/ Resume
  • Work Experience Certificates (if study gap)
  • Passport Copy

Study Gaps

For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.

To strengthen your profile, it is important to:

  • Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
  • Emphasize the skills and experiences you developed during this time that are relevant to the program.
  • Demonstrate that your academic qualifications continue to meet the course entry requirements.

Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.

Last reviewed on 10 October 2025.

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