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nik.uni-obuda.hu/en 

Overview

Program description:
The two-year long Applied Mathematics program at the Master level is developed to provide expert knowledge and understanding about the specificities, methodologies, applications, and advanced practice of applied mathematics. The course is designed by taking into account two perspectives: to provide the necessary theoretical background for the students by providing those specificities and experiences at the same time, which prepare them for problem solving and future challenges, and focusing on the industry-related advanced practice of the field to provide up-to-date knowledge about the most widely used techniques, which can be used immediately on the market after graduation.

One specialization is available for the students which is unique in Hungary: Engineering computational methods. The courses on the specialization focus on the core knowledge of the field of interest completed with laboratories. During the theoretical and laboratory courses the most up-to-date software environments are applied in order to prepare our students for the challenges of the industry.

The aim of the course is to train mathematicians who are able to effectively model and solve problems that arise in real-life applications, within engineering, natural sciences, industry and management. The curriculum follows the recommendations of the SIAM, putting emphasis on application-oriented mathematics, practical applications, modelling and communication skills, team work, computer programming and high-performance computing. Students become able to extend their knowledge in the frame of PhD studies.


Entry requirements:
A BSc degree in the field of the science relevant to the selected programme.

Entrance exam:
Yes

Type of entrance exam:
Oral

Entrance exam location:
Electronic

Entrance exam description:
After applying online and submitting the required documents the decision is made by the Faculty. English language skills and personal motivation will be examined by Skype interview.

Contact:
Mr. György Eigner, PhD
Senior Lecturer
englishprograms@nik.uni-obuda.hu

Preparatory year available:
No

Specialisation year available:
No

Minimum number of scholarship holders:
5

Maximum number of scholarship holders:
20

Link:
studyinhungary.hu/institution/obuda-university-86.html
nik.uni-obuda.hu/en/education/applied-mathematics-msc
nik.uni-obuda.hu/en/education/applied-mathematics-msc/curriculum

Programme structure

The student needs to hold an official language certificate at the moment of he/she receives his/her diploma.

The structure of the course consists of three parts:
● general studies related to applied mathematics and connected areas (foundational courses (in the lack of Mathematics BSc), core courses);
● and specific studies related to the given specialization (differentiated specialization (engineering mathematics), optional subjects);
● independent work (thesis work).

Internship is not the part of the curriculum of Applied Mathematics MSc.

Students should perform the following credits from given fields of expertise during their studies:
Foundational courses (in the lack of Mathematics BSc) 20 credits,
Core courses 25 credits,
Differentiated specialization (engineering mathematics) 40 credits,
Optional subjects (30 credits for Mathematics BSc) 15 credits,
Thesis 20 credits

Information regarding the curriculum: users.nik.uni-obuda.hu/to/eng/index.php? path=MSc%20in%20Applied%20Mathemetics
Teaching at the university is conducted in three different forms: lectures, seminars, and laboratory practice. Attendance at seminars and labs is strictly regulated by university rules; absence over 30% of classes entail a ban from examinations. There are two ways of assessment. A practical mark is awarded at the end of predominantly practical courses, and are solely based on a student’s term-time progress. An examination is required at theoretical courses, which can be taken in the exam period. The final grade of an examination might include term-time progress A student’s performance is evaluated on a 1-to-5 grading scale, with 1 being equivalent to “fail” and 5 to “excellent”.
Description of the Hungarian grading system:
5 – Excellent – outstanding performance with only minor errors
4 – Good – generally sound work with a number of notable errors
3 – Satisfactory – fair but with significant shortcomings
2 – Sufficient – performance meets the minimum criteria
1 – Fail – considerable further work is required

Evaluation methods beyond the scope of the university regulations described above are at the lecturer’s discretion. The list is long, but the most common ones are
● mid-term and end-of-term written tests,
● project works,
● reports,
● mini-lectures,
● homeworks,
● oral presentations, etc.,
or any combination of them. There are no fixed percentage categories for different grades, but most commonly 50% is required for a pass. Normally, one retake is offered for a missed assignment. Term-time requirements with course syllabi, as well as dates and deadlines are listed in a document by the lecturer, and made public on the faculty website before the start of the semester.

The evaluation of progress is checked in the following ways:
a) during the semester with written or oral presentation, written test, or assessing home assignment
(plan, measurement minutes etc.), with practical mark or signature,
b) passing a pre-examination during the semester,
c) passing an exam or a comprehensive exam in the exam period and
d) with final examination.

Career opportunities

Applied Mathematicians are welcome in most of the sectors of data science industry and informatics. Job opportunities are usually offered by big data firms, informatics related vendors and international firms, institutions of the financial market, software development and software engineering companies, research institutions, NGOs and others. On the field interesting and challenging tasks can be found to which contribution can be made by the knowledge of an Applied Mathematician for example developments regarding data processing and transfer, trading system automation, industrial design and operations, big data related tasks, machine learning, computer vision, automotive technologies, security, data science, software development.

Job examples and opportunities

A wide range of job opportunities are available in Hungary and among the world. The most typical job offers are coming from the following main themes:
Mathematician
Industrial mathematician
Trader and analyst (stock market, financial market)
Healthcare developer (scientific parts of developments)
Acoustic consultant
Actuarial analyst
Actuary
Chartered accountant
Chartered certified accountant
Data analyst
Data scientist
Investment analyst
Research scientist (maths)
Secondary school teacher
Software engineer
Statistician

With the Applied Mathematician MSc degree the application for a PhD program is possible.

Not available for applying at the moment

Application deadlines apply to citizens of: United States