Master's program in English

Master's program in English


Educational objectives

The goal of education is to provide high level knowledge of natural and technical sciences related to the field of information technology for the students, in order to make them capable to design, improve, implement and integrate IT systems, furthermore, to coordinate and perform research and development tasks for IT purposes. The students will also be prepared to continue their studies in the Ph.D. training program at Széchenyi István University.

Language

The master's program is in English that will enable students to secure positions and/or participate in a project in the IT industry internationally. They will also be able to continue their studies abroad or fulfill leadership roles in multinational firms.

Properties of the master's program

The admission requirements of the master's program are defined by the decree of EMMI (Ministry of Human Capacities) 18/2016. (VIII.5) paragraph 9.4.

 

Level of education: master's degree (MSc)

Qualification specified in diploma: Computer Science Engineer

Duration of education: 4 semesters

Required number of ECTS credits: 120

 

The content and proportion of training fields is the following:

Field of training
Credits
Percentage
Natural Sciences
20
17%
Economy and Human Sciences
9
8%
Optional subjects
6
5%
Professional core material
33
28%
Differentiated professional knowledge
22
18%
Thesis work
30
25%
Total
120
100%

 

Specialization/modules: there are no specialization in the degree.

Professional practice: have to be performed at a firm which is independent from the university, has to last at least for six weeks.

The supervisory system of knowledge: it is composed of performing the requirements detailed in the curriculum, finishing professional practice, creation of thesis work and passing the final exam.

 

Requirements of the thesis

The thesis has to solve an IT task of a specialization or work out a research topic during two semesters based on the knowledge of the student, complimented by studying the literature and supervised by consultants. The candidate proves by the thesis work his or her proficiency in applying the knowledge learned, ability to perform analysis and design tasks, is experienced in the literature and can use it to create value.

 

Conditions for taking the final exam

All requirements of the curriculum must be met, furthermore

  • collect at least 120 credits, in which the thesis work represent 30 credits,
  • the requirements of physical education and professional practice must be fulfilled,
  • the thesis work must be judged and accepted by a reviewer.

 

Conditions of issuing the degree

On all courses of the Faculty regardless of the course level (Bachelor or Master) the Student must have a complex state language exam at intermediate level (B2) or an equivalent secondary school leaving certificate in any of the following foreign languages: English, French, German, Italian, Russian, Spanish.

 Parts of the final exam

 The candidate presents and defends his/her thesis work. The members of the committee ask questions referring the topic of the thesis during the complex exam, in order to check the skills of the candidate.

The result of the final exam

The committee grades the result of the final exam with a single mark by averaging the grades given to the thesis defense and the complex exam. If this grade is “fail”, the committee decides whether partly or fully accepts the thesis work.

The assessment of degree

Weighted grade point average considering the whole study time, arithmetic average of the grades given to the complex exam and thesis defense.

 

University degree: Computer Science Engineer

Specialization: Computer Science Engineer (MSc)

Curriculum: Computer Science Engineer (MSc), full-time, 2018

 

Obligatory subjects

No.
Code
Title
Theory
Practice
Exam type
Credits
Suggested semester
Prerequisites
1
GKNM_INTA056
Logic
2
2
exam
5
1
 
2
GKNM_INTA058
IT-project management
2
2
exam
4
1
 
3
GKNM_MSTA002
Theory of Algorithms
2
2
exam
5
1
 
4
GKNM_MSTA025
Data Analysis
4
0
exam
4
1
 
5
KGNM_VKTA005
Management Competencies
2
2
cont.
5
1
 
6
GKNM_AUTA011
Control Theory
2
0
exam
5
2
 
7
GKNM_INTA055
Formal Languages and Automata Theory
4
0
exam
4
2
 
8
GKNM_INTA057
System and Software Verification
2
2
exam
4
2
 
9
GKNM_MSTA003
Numerical Analysis
2
2
exam
5
2
 
10
GKNM_TATA019
Coding Theory
4
0
exam
5
2
 
11
KGNM_GETA025
Advanced Corporate Finance
0
2
exam
4
2
 
12
GKNM_INTA098
Thesis Consultation I.
0
0
cont.
15
3
 
13
GKNM_INTA059
Knowledge Base Technologies and Planning
2
2
exam
4
4
 
14
GKNM_INTA060
Kernel engineering
2
2
exam
4
4
 
15
GKNM_INTA063
Compilers
2
2
exam
4
4
 
16
GKNM_INTA099
Thesis Consultation II.
0
0
cont.
13
4
GKNM_INTA098
Total credits
92
 

 

Differentiated professional subjects

No.
Code
Title
Theory
Practice
Lab.
Exam type
Credits
Prerequisites
1
GKNM_AUTA010
Interface Technologies
2
2
0
exam
5
 
2
GKNM_AUTA029
Virtual Planning of Devices
2
0
1
exam
5
 
3
GKNM_FKTA031
Photometry and Colorimetry
2
2
0
exam
4
 
4
GKNM_FKTA032
Computer Image Analysis
2
2
0
exam
4
 
5
GKNM_INTA064
Advanced system development technologies
2
0
0
exam
3
 
6
GKNM_INTA066
Adaptive systems
3
0
0
exam
4
 
7
GKNM_INTA067
Computing intelligence
2
2
0
exam
5
 
8
GKNM_INTA068
Software Quality Assurance
3
0
0
exam
4
 
9
GKNM_INTA069
Introduction to bioinformatics
3
0
0
exam
4
 
10
GKNM_INTA070
Complexity theory
3
0
0
exam
4
 
11
GKNM_INTA071
Document Management Systems
2
0
0
exam
3
 
12
GKNM_INTA072
Data mining
2
1
0
exam
4
 
13
GKNM_INTA073
Platform-independent programming
2
1
0
exam
4
 
14
GKNM_INTA074
Programming in LabView
0
3
0
exam
4
 
15
GKNM_MSTA024
Stochastic Processes
2
2
0
exam
4
 
16
GKNM_MSTA034
Parallel Programming
1
2
0
exam
4
 
17
GKNM_TATA046
Information Security
2
0
2
exam
5
 
18
GKNM_TATA048
Internet of Things
3
0
1
exam
5
 
19
GKNM_TATA051
Cloud computing
2
0
2
cont.
5
 

At least 22 credits must be collected until the end of studies from this group of subjects.

 

Optional subjects

No.
Code
Title
Theory
Practice
Lab.
Exam type
Credits
Prerequisites
1
GKNM_FKTA012
Nanoelectronics
2
0
0
exam
3
 
2
GKNM_FKTA013
Theory and Techniques of Measurement
2
2
0
exam
5
 
3
GKNM_FKTA035
Nuclear Technology
2
0
0
exam
2
 
4
GKNM_MGTA021
Risk Analysis
2
0
0
cont.
5
 
5
KGNB_NOKA022
Exchange Course 2.
0
0
0
cont.
3
 
6
KGNM_VKTA003
Leadership and Organizational Communication
2
2
0
exam
5
 

At least 6 credits must be collected until the end of studies from this group of subjects.

 

The suggested order of subjects of the program

 

 

 

1

2

3

4

C
r
e
d
i
t
s
1
Logic
(GKNM_INTA056
Numerical Analysis
(GKNM_MSTA03)
Differentiated professional subjects
 
Kernel Engineering
(GKNM_INTA060)
1
C
r
e
d
i
t
s
2
2
3
3
4
4
5
Knowledge Base Technologies and Planning
(GKNM_INTA059)
5
6
Theory of Algorithms
(GKNM_MSTA00)
Coding Theory
(GKNM_TATA019)
6
7
7
8
8
9
Compilers
(GKNM_INTA063)
9
10
10
11
IT-Project Management
(GKNM_INTA058)
Formal Languages and Automata Theory
(GKNM_INTA055)
11
12
12
13
Differentiated professional subjects
13
14
14
15
Management Competences
(KGNM_VKTA00)
System and Software Verification
(GKNM_INTA057)
15
16
16
17
Optional subjects
17
18
18
19
Advanced corporate finances
(KGNM_GETA05)
Thesis Consultation I.
(GKNM_INTA098)
19
20
Data Analysis
(GKNM_MSTA02)
20
21
21
22
22
23
Coding Theory
(GKNM_TATA019)
Thesis Consultation II.
(GKNM_INTA099)
23
24
 
24
25
 
25
26
 
26
27
 
27
28
 
 
28
29
 
 
29
30
 
 
30
31
 
 
31
32
 
 
32
33
 
 
33
34
 
 
 
34
35
 
 
 
35
36
 
 
 
36
 
37
 
 
 
37

 

 More information: http://neptun.sze.hu/en_GB/computer-science-engineering

http://admissions.sze.hu/images/Kiadvany/ComputerScienceEngineeringMSc.JPG

                     

 

 

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