Program Overview

SPECTRO - Autonomous Systems and Intelligent Robots MSc

The SPECTRO - Autonomous Systems and Intelligent Robots MSc program is designed to approach autonomous systems from both a computer science and an electronic engineering perspective. This interdisciplinary master's program covers everything from the basics of autonomous systems to specific skills such as:

• Internet of Things (IoT)
• Machine learning
• Artificial intelligence
• Robotics
• Automation and control
• Embedded systems
• System communication
• Autonomous software systems

Program Details

• Title: SPECTRO - Autonomous Systems and Intelligent Robots MSc
• Degree: Master in Computer Science
• Type: Double/Multiple degree program
• Level: Master
• Faculty: Faculty of Informatics
• Language: English
• Duration: 4 semesters (2 years)
• ECTS credits: 120

Description

The future is increasingly autonomous, with self-driving cars, robotic assistants, the Internet of Things, and AI-based software solutions. This program provides a deep understanding of the technology and the ability to confidently evaluate autonomous processes and maximize the trade-off between business impact and resource expenditure.

Strength of Program

The EIT Digital Master School is a flagship education on an advanced level provided by leading European universities and IT companies. It offers a two-year education in which you can choose two universities in two different European countries with a double degree at the end. The program includes Innovation and Entrepreneurship education, which means that students gain knowledge about how industry works and how research results can be turned into service or product, even before they graduate.

Career Opportunities

The job market looks very promising, with automotive manufacturing being a major industry in Europe. Graduates will have enormous opportunities in any field of industry, including:

• Automotive manufacturing
• Service applications
• Manufacturing
• Logistics
• Shipping
• Mining
• Recycling
• Media
• Finance
• Customer service
• Healthcare

Admission Requirements

• Entry requirements: A completed Bachelor's degree encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university.
• Conditional acceptance: Students in their final year of undergraduate education may also apply and if qualified, receive a conditional acceptance.
• Language requirements: Minimum level of language proficiency (oral) (A1-C2): B2, Minimum level of language proficiency (written) (A1-C2): B2

Documents to Submit with Application

• Bachelor-level degree
• Transcript of records
• CV
• Motivation letter
• Letter of recommendation
• Copy of the main pages of the passport (needs to be valid)
• Language certificate

Application Procedure

• Application periods:
  • Period 1: 31 October – 11 February
  • Period 2: 11 February – 15 April
  • Period 3: 15 April – 1 June
• The application is to be done online.
• Students need to register in the system, fill in the online application form, upload the required documents, and follow the instructions during the application process.

Tuition Fees

• EU/EEA students: 2500 EUR per semester (winning scholarships and half tuition fee waiver is possible)
• Non-EU/EEA students: 7500 EUR per semester (winning scholarships and half tuition fee waiver is possible)
• Application fee: 75 EUR
• Registration fee: 250 EUR
• Other costs: Scholarship deposit (refundable): 500 EUR

Program Leader and Coordinator

• Program leader: Zoltán ISTENES, Associate Professor
• Program coordinator: Réka KÖKÉNY, Student Advisor

Faculty of Informatics

The Faculty of Informatics at Eötvös Loránd University offers a computer science degree that shall boost your career opportunities all around the world. The strong theoretical foundations acquired in the Computer Science BSc program enable you to follow rapidly changing technologies throughout your career. The hottest technological trends are also on the agenda, such as artificial intelligence, data science, robotics, Fintech, quantum technologies. You can gain outstanding knowledge and practice in the fields of algorithms and their applications, data structures, programming languages and programming paradigms, software technology, web development, information systems, cryptography, and cyber security.