| Program start date | Application deadline |
| 2024-09-01 | - |
| 2024-02-01 | - |
Program Overview
The Applied Mathematics program at the University of Debrecen provides students with a comprehensive understanding of mathematics and its applications. Emphasizing collaboration and problem-solving, the program prepares graduates for careers in research, software development, consulting, and more. Through a blend of theoretical studies, practical exercises, and research projects, students develop critical thinking, analytical, and communication skills essential for success in diverse fields.
Program Outline
Degree Overview:
Overview:
The Applied Mathematics program at the University of Debrecen aims to equip students with profound knowledge in mathematics to enable them to excel in both mathematical modeling and solving practical problems. The program emphasizes collaborative skills, preparing students to work effectively with experts from diverse fields such as computer science, engineering, and economics.
Objectives:
- Develop students' problem-solving and critical thinking abilities.
- Enhance students' mathematical modeling skills.
- Foster collaboration and teamwork skills.
- Prepare students for careers in research, software development, or consulting.
Description:
The program consists of a comprehensive curriculum that covers various mathematical concepts and their applications. Students engage in theoretical studies, research projects, and practical exercises to gain a deep understanding of the subject matter.
Outline:
Year 1:
- Introduction to Modern Algebra
- Operation Research
- Selected topics in geometry
- Probability Theory
- Basic Information
- Graph Theory and Applications
- Algorithms in Mathematics
- Convex Optimization
- Discrete Optimization
- Stochastic Processes
- Financial Mathematics
- Introduction to Finance
- Microeconomics
Year 2:
- Applications of Ordinary Differential Equations
- Partial Differential Equations
- Multivariate Analysis
- Econometrics
- Financial Accounting
- Game theory
- Thesis
Assessment:
Methods:
- Written exams
- Oral exams
- Presentations
- Projects
- Research papers
Criteria:
- Understanding of mathematical concepts
- Problem-solving abilities
- Analytical skills
- Communication skills
- Collaboration skills
Teaching:
Methods:
- Lectures
- Seminars
- Tutorials
- Hands-on exercises
- Group projects
Faculty:
The program is taught by a team of experienced and renowned professors, researchers, and industry experts.
Unique Approaches:
- Emphasis on collaboration and teamwork.
- Integration of theoretical and practical aspects.
- Focus on developing problem-solving and critical thinking skills.
Careers:
Potential Career Paths:
- Research scientist
- Software developer
- Data analyst
- Financial analyst
- Consultant
Opportunities:
- Opportunities for research and collaboration with industry partners.
- Access to career counseling and job placement services.
Outcomes:
- Graduates are equipped with a strong foundation in mathematics and problem-solving skills, making them highly adaptable and sought after in various industries.
Tuition fee: 7,500 USD/year Other fees: application fee 150 USD, entrance procedure fee 350 USD