Computer Science and Engineering
Studying Computer Science and Engineering at the Eindhoven University of Technology (TU/e) gives you a thorough understanding of the fundamental theories and techniques for creating software systems and web services, always considering the user experience. The curriculum encompasses Logic and Set Theory, Data Structures, Discrete Structures, Automata, Language Theory and Complexity, Algorithms, and Database Logic Algorithms.
Overview
Introduction
Join the Computer Science and Engineering program at Eindhoven University of Technology (TU/e), renowned for its cutting-edge technology education and strong international rankings. Gain a comprehensive understanding of software systems and user-centric design.
Program Details
- Duration: 2 years
- Tuition Fees: €12,300/year
- Start Date: March 11, 2024 (Apply before the same date)
Curriculum Focus
Dive into essential modules like Logic and Set Theory, Data Structures, Algorithms, and more. Emphasis on practical learning ensures you develop real-world skills.
Student Advantages
- Career Paths: Diverse opportunities in tech industries
- Internships: Gain hands-on experience
- Industry Connections: Strong ties with leading companies
- Job Placement Rates: High success in graduate employment
Additional Info
Flexible payment options available. Study in a vibrant tech hub, enhancing your learning experience and networking opportunities.
Key information
Core Topics
- Logic and Set Theory
- Fundamental principles of logic
- Concepts of sets and operations
- Data Structures
- Various types of data structures (e.g., arrays, linked lists, trees)
- Techniques for organizing and storing data
- Discrete Structures
- Study of mathematical structures that are fundamentally discrete
- Topics may include graphs, combinatorics, and relations
- Automata, Language Theory, and Complexity
- Understanding of automata theory
- Study of formal languages
- Complexity classes and computational complexity
- Algorithms
- Design and analysis of algorithms
- Problem-solving techniques and algorithmic efficiency
- DBL Algorithms
- Focus on database algorithms
- Techniques for efficient data retrieval and management
Academic Requirements
- Mathematical Thinking
- Calculus
- Logic Thinking
- Algorithmic Thinking
Language Proficiency Scores
- IELTS: 6.5
- PTE: Not applicable
- TOEFL: 90
