Course Overview

The Computer Science for Autonomous Systems Masters Degree at Eötvös Loránd University (ELTE) is engineered for aspiring professionals seeking to lead the next wave of intelligent technology. You will delve into the critical areas of 3D computer vision, deep reinforcement learning, and sensor fusion, essential for developing sophisticated autonomous systems. This program addresses the growing demand for experts who can design, implement, and manage the software that powers everything from self-driving vehicles to advanced robotics. If you are passionate about artificial intelligence and its real-world applications, this course offers a direct pathway into a dynamic and future-focused career.

This full-time, on-campus Masters programme, studied over two years, immerses you in practical learning through dedicated labs and project-based modules. You will explore topics like image and signal processing, embedded systems, and the legal frameworks for autonomous driving, gaining hands-on experience. Throughout your studies, you will work alongside leading academics and have opportunities to engage with industrial research partners. You will graduate with a comprehensive understanding of autonomous systems and the advanced technical skills to pursue roles in software development, AI research, or robotics engineering within leading technology firms.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course explores the foundational principles and advanced techniques essential for developing autonomous systems. Students will delve into core areas such as 3D computer vision, image and signal processing, and deep reinforcement learning. The curriculum also covers crucial topics like algorithm design, data science, numerical optimization, and embedded systems, providing a comprehensive understanding of the technologies driving autonomous systems.

1 Core Courses:

3D Computer Vision L+Pr.

Image and Signal Processing L

Image and Signal Processing Pr.

Introduction to Vehicles and Sensors L+Pr.

Research Methodology L+Pr.

Deep Reinforcement Learning L+Pr.

Design and Analysis of Algorithms L

Introduction to Data Science L+Pr.

Numerical Methods for Optimization L+Pr.

Advanced Algorithms L

Advanced Algorithms Pr.

Deep Network Development

Preparation Course for Master Studies and Developing Learning Skills Pr. (4*)

Topics in Applied Mathematics L+Pr.

Advanced Software Technology L

AUS Lab I

Computer Graphics L

Computer Graphics Pr.

Design and Analysis of Algorithms Pr.

Embedded and Real-Time Systems L+Pr.

Image and Video Processing L+Pr.

Software Quality and Testing L

Software Quality and Testing Pr.

3D Point Cloud Processing and Analysis

3D Sensing and Sensor Fusion L+Pr.

Advanced Deep Network Development L+Pr.

AUS Lab II

Human Factors in Traffic Environment Pr.

Legal Framework for Autonomous Driving L

Project Management L

System and Control Theory L

System and Control Theory Pr.

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee

USD 7,528.00

Second Year Fee Tuition fee

USD 7,528.00

Total Program Cost Estimated total tuition

USD 15,057.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation

USD 620.00 - USD 775.00

Food & Groceries USD 2,234.00 - USD 4,467.00

Transport USD 354.00 - USD 708.00

Utilities & Bills USD 931.00 - USD 2,048.00

Estimated Total USD 3,519.00 - USD 7,223.00

Living cost estimates are based on Lagymanyos Campus.

Why Study Computer Science for Autonomous Systems at Eötvös Loránd University (ELTE)

What makes this program stand out

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Frequently Asked Questions

Common questions about Computer Science for Autonomous Systems at Eötvös Loránd University (ELTE)

Can I work while studying?

International students can work up to 30 hours per week during term time in Hungary. No separate work permit is required for this.

What English language score do I need for this course?

To meet the English requirements, TOEFL scores of at least 46 overall, with minimum subscores, and IELTS scores of at least 5.5 overall, with minimum subscores, are required.

What jobs can I get after studying this course?

Potential job titles include Software Developer, Robotics Engineer, Data Scientist, AI Researcher, and Systems Analyst.

What will I actually study in this course?

This program prepares students for the design and development of software for intelligent systems, such as autonomous cars. Key topics include artificial intelligence, robotics, and data mining.

When can I start — what are the intake months?

The intake for the Computer Science for Autonomous Systems program is in September. Interested applicants should ensure they are ready to start in this month.

Computer Science for Autonomous Systems