More information

itk.ppke.hu/..uter-science-engineering-msc 

Overview

Program description:

One of the strengths and a special feature of the Computer Science Engineering MSc program at PPCU FITB is the specific synergy of information technologies and life sciences. Our goal is to teach human-centered information technology with the fundamental concepts of life sciences. The essence of our Computer Science Engineering training approach is that we try to find and understand techniques developed during millions of years in biological systems, and we try to transfer them into engineered informatics environments. In this field of continuously developing technologies we provide the necessary disciplinary fundamentals to facilitate the professionals trained by our Faculty to work at the highest level. The solid theoretical foundations provide efficient support for the interpretation and handling of a generation shift in informatics, therefore our Computer Science Engineer graduates can adapt well to the ever-changing professional environment.

Besides basic natural sciences, our students study the most relevant programming languages and their application in different environments. They become familiar with the principles of complex software systems and artificial intelligence. We emphasize a hardware-based approach and kiloprocessor, as well as reconfigurable architectures. Through the teaching of sensory applications, we open towards the world of info-bionics. Neuromorphic calculations, digital language technology, machine learning or image processing and image analysis are also very exciting and modern fields that can be studied and explored in our Faculty.

Several experimental research laboratories operate at the Faculty, equipped with a modern and unique set of instruments; therefore, our students can explore the world of research and development as soon as they start their Master’s studies. Our graduates, depending on their specialization, can deepen their theoretical and practical knowledge in the fields of software design, communication networks, intelligent systems, sensing computers, mobile applications or image processing.

Further Information

Contact:
Ms Tünde Magdolna VIZ-POÓR
International Relations Coordinator
international.office@itk.ppke.hu

Compulsory preparatory semester:
YES.
Based on the performance at the entrance exam, the applicant may be obliged to attend a Preparatory Semester in order to be admitted to the Computer Science Engineering program. The Preparatory Semester is always organized in the fall semester. Thus, the actual commencement of the Master’s programs is February. The goal of the preparatory semester is to level students for their Master’s program in Budapest, helping to ensure that they can complete their studies successfully. The preparatory semester helps students to recap, develop and upgrade the Bachelor-level skills needed to succeed in their Master’s program.

Specialisation year available:
No. Specialization is included within the Curriculum of the Study Program.

Minimum number of scholarship holders: 1

Maximum number of scholarship holders: 10

Link:
itk.ppke.hu/en/education/master-programs/computer-science-engineering-msc

Programme structure

PREPARATORY SEMESTER

The actual Masters Program is preceded by a compulsory preparatory semester in the Fall term. The preparatory semester consists of four three-week-long modules, each module comprising three or four subjects. The courses follow an intensive schedule, and each are concluded by a compulsory exam. The Curriculum of the compulsory preparatory semester for the Master’s program in Computer Science Engineering comprises the following subjects:
- Academic English
- Algebra
- Calculus
- Computer Architectures
- Electronics
- Hungarian
- Probability and Statistics
- Programming 1-2-3-4.
- Signal Processing

The actual Masters program (4 semesters) starts in the spring term, upon successful completion of ALL subjects the Preparatory semester.

MASTERS PROGRAM

The Curriculum of the Computer Science Engineering MSc study program (120 credits) includes the following modules:
- Fundamentals in Natural Sciences (total required: 20-30 credits)
- Economics and Humanities (total required: 9-15 credits)
- Skills in Information Technology, including Specialization subjects (total required: 54-90 credits)
- Thesis Work (total required: 30 credits)
- Other elective subjects (maximum 6 credits)

Specializations offered within the program:
● High Performance Computational Tools and Architecture (HPCT)
● Machine Learning for Data Science (MLDS)
● Software Engineering (SE)

Students are required to apply for one of the specializations upon enrolment to the Masters program.

Detailed curriculum of the Computer Science Engineering MSc program

Apply now! Academic year 2021/22
Application period has ended
Studies commence
Sep 1, 2021

Application deadlines apply to citizens of: United States

Apply now! Academic year 2021/22
Application period has ended
Studies commence
Sep 1, 2021

Application deadlines apply to citizens of: United States

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