|Study location||Hungary, Pécs|
|Type||Master, full degree studies|
|Nominal duration||4 semesters (120 ECTS)|
|Course code||Natural Science|
Bachelor diploma (or higher)
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Applications are accepted from the following territories (based on citizenship): Algeria, Angola, Argentina, Armenia, Azerbaijan, Bangladesh, Belarus, Belize, Bolivia, Bosnia & Herzegovina, Brazil, Burundi, Cambodia, Chile, China, Colombia, Congo - Kinshasa, Costa Rica, Cuba, Dominican Republic, Ecuador, Egypt, El Salvador, Eritrea, Georgia, Ghana, Honduras, India, Indonesia, Iran, Iraq, Israel, Japan, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Laos, Lebanon, Liberia, Madagascar, Malaysia, Maldives, Marshall Islands, Mexico, Moldova, Mongolia, Morocco, Namibia, North Macedonia, Oman, Pakistan, Panama, Peru, Philippines, Russia, Serbia, Seychelles, Sierra Leone, Singapore, South Africa, South Korea, St Lucia, State of Palestine, Syria, São Tomé & Príncipe, Taiwan, Tajikistan, Tanzania, Thailand, Tunisia, Turkmenistan, Türkiye, Ukraine, United Arab Emirates, Uruguay, Venezuela, Vietnam, Yemen.
At least 2 reference(s) should be provided.
In the case of any other BSc degree than Mathematics BSc, the enrolment into the master’s degree program is conditional.
If the applicant could not collect 65 credits, it is required for the applicant to have at least 50 credits in the listed areas/subjects based on his/her previous studies. And the missing credits must be obtained and completed during the master’s studies as specified in the Code of Studies and Examinations of the University of Pécs.
The aim of the Applied Mathematics master program is to train professionals who have well-grounded mathematical and informational knowledge in a theoretical 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, modeling, 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.
Fundamentals of algebra and number theory lecture and practice
Fundamentals of analysis lecture and practice
Geometry and computer graphics lecture and practice
Cryptography lecture and practice
Ordinary differential equations seminar lecture and practice
Codes and symmetrical structures lecture and practice
System engineering laboratory work and lecture
Mathematics of Networks lecture
Design of Algorithms and Data Structures seminar
Statistics and applications seminar
Partial differential equations seminar and lecture
Diploma Work Practice
Future Job Opportunities:
Higher education institutions – researchers and professors in colleges & universities
Statistical data analysis
Combined defense service (air force, naval academy)
Higher Management Position in public sector & banks
Operations research analysts
Computer systems analysts
Positions in the technology-related sector