MSc in Applied Mathematics
Pécs, Hungary
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 4,000 / per semester
STUDY FORMAT
On-Campus
Key Summary
About : The MSc in Applied Mathematics offers a comprehensive understanding of mathematical principles and techniques. This program emphasizes practical applications and equips students with the skills needed for real-world problem-solving. Focusing on both theoretical foundations and computational methods, you'll experience a diverse curriculum that prepares you for various industries.
Career Outcomes : Graduates can pursue careers in multiple fields, including data analysis, financial modeling, and engineering. Career opportunities may include roles as data scientists, quantitative analysts, and systems engineers, allowing you to apply your mathematical expertise in dynamic environments.
The aim of the Applied Mathematics master program is to train professionals who have a well-grounded mathematical and informational knowledge in a theoretically and practical way. They are able to gain knowledge in industrial, commercial, agricultural, logistics, communication, finance and computer science issues to be used for analysis, modelling and finding a solution for them. Furthermore, the best ones are able to keep going on in doctoral level training and deepen their skills and knowledge.
1st Semester
- Fundamentals of algebra and number theory lecture and practice
- Fundamentals of analysis lecture and practice
- Geometry and computer graphics lecture and practice
2nd Semester
- Cryptography lecture and practice
- Ordinary differential equations seminar lecture and practice
- Codes and symmetrical structures lecture and practice
3rd Semester
- System engineering laboratory work and lecture
- Mathematics of Networks lecture
- Design of Algorithms and Data Structures seminar
4th Semester
- Complexity Theory
- Statistics and applications seminar
- Partial differential equations seminar and lecture
Future Job Opportunities:
- Higher education institutions - researcher and professors in colleges & universities
- Statistical data analysis
- Combined defence service (air force, naval academy)
- Higher Management Position in public sector & banks
- Operations research analysts
- Computer systems analysts
- Data analyst
- Financial advisor
- Positions in technology-related sector
- Actuary
- Statisticians