Program Overview

Program Overview

The Computer Science MSc Program with a specialization in Financial Technology is designed to provide students with a comprehensive education in Computer Science, combined with specialized knowledge in Financial Technologies. The program aims to equip students with the skills and expertise needed to design and develop innovative software solutions for the financial sector.

Program Structure

The program consists of 4 semesters (2 years) and requires the completion of 120 ECTS credits. The minimum number of students required for the program to run is 2, and the maximum number of students is 120.

Career Opportunities

Graduates of the program are welcomed in jobs related to the development of autonomous, intelligent software systems in various sectors, including finance, healthcare, transport, and logistics. The Financial Technology specialization is particularly apt for careers in banking services, insurance, notarial certification, crowdfunding, and RegTech.

Admission Requirements

To be eligible for the program, applicants must hold a BSc degree in Computer Science or have completed at least 60 ECTS credits in informatics and mathematical subjects during their Bachelor's program. Relevant work experience can compensate for a non-strictly matching Bachelor's degree. Applicants must also demonstrate a minimum level of language proficiency (B2) in English.

Application Procedure

The application process involves submitting an online application form, uploading required documents, and paying an application fee. The application fee is 150 EUR, and the tuition fee per semester is 3200 EUR for both EU/EEA and non-EU/EEA students.

Entrance Examination and Selection Process

Applicants are required to participate in an online entrance exam and an online interview. The entrance exam consists of 1-3 programming problems, and the interview assesses the applicant's English language and communication skills. The ranking is based on a total evaluation of academic excellence and the results of the entrance exam.

Program Leader and Coordinator

The program leader is Mr. Ferenc Weisz, Professor, and the program coordinators are Mr. Zsolt Borsi, Assistant Lecturer, and Ms. Katalin Schneider, International Coordinator.

Research Areas

The program covers various research areas, including:

• Artificial Intelligence
• Data Science
• Cyber Security
• Web Engineering
• Autonomous Systems
• Multimedia Design
• Financial Technologies

Learning Objectives

The learning objectives for graduates of the Fintech Master program include:

• To positively impact society through Fintech technologies
• To design Fintech solutions to create value for different stakeholders
• To make informed decisions for data processing systems engineering
• To understand business aspects and behavioral, legal, and societal aspects of Data Science
• To develop expertise in a variety of approaches to analyze data to extract meaningful information

Tracks/Specializations

The program offers a specialization in Financial Technology, which includes courses such as:

• Consultation for Dissertation (Fintech Lab.)
• Development of Financial IT Systems
• Advanced Machine Learning
• Cryptography
• Business Intelligence

Strength of Program

The program's strength lies in its highly qualified academic staff, modern infrastructure, and well-equipped computer labs. The Faculty's relationship with the business community and joint research and development projects provide students with up-to-date practical knowledge and experience. The program also offers a mentor system, where upper-year students and PhD students help first-year students overcome their initial challenges.