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Bioinformatics (3+1+1)

1. General Information

Postgraduate studies in Bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analyzing, indexing, searching and using data from biological databases, as well as modeling events and processes that occur at the level cell, organ or organism, including the latest developments in the fields of databases, molecular biology, genetics, machine learning and data science.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Second cycle academic studies in Bioinformatics
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence, Intelligent Systems, Programming Languages ​​and Systems, Databases, Numerical Analysis, Algorithms, Simulation, Information Processing, Data Processing, Other .
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • In the first and the second semester, subjects are performed, while in the second semester, the final project is additionally prepared, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in Computer or Biological-Medical Sciences with a minimum of 240 or 180 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester : 2 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester : 1 Mandatory and 1 elective, one of which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and the final project - master's thesis of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained upon completion of studies is:

- Master in Information Science and Computer Engineering in Bioinformatics

 

2. Introductory layer

The introductory layer is intended for students who have completed studies lasting less than four years or have earned less than 240 credits from previous studies. Students should pass differential exams that will allow them to enter the basics of bioinformatics. Table 1 shows the structure of items from the introductory layer. Table 2 lists the courses from the introductory layer, which are offered in the first cycle of studies at the Faculty of Information Sciences and Computer Engineering and which are required as prior knowledge. Students in the introductory layer choose the Mandatory courses from the list in Table 2. Students who in their previous education have heard the same or similar courses as those offered in the list in Table 2, can choose from the other courses offered in the first cycle of studies at The Faculty of Information Sciences and Computer Engineering, in coordination with the Head of the Department.

 

 

Table 1: Introductory layer structure

РБ Subject Semester ECTS
1 Mandatory subject 1 * VII 6
2 Mandatory subject 2 * VII 6
3 Elective 1 ** VII 6
4 Elective course 2 ** VII 6
5 Elective course 3 ** VII 6
6 Mandatory subject 3 * VIII 6
7 Mandatory subject 4 * VIII 6
8 Elective course 4 ** VIII 6
9 Elective course 5 ** VIII 6
10 Elective course 6 *** VIII 6

 

* The course should be chosen from Table 2. ** The course is recommended to be selected from Table 2, but can be chosen from the other courses offered in the first cycle of studies at the Faculty of Information Sciences and Computer Engineering, in coordination with the head of the department. *** The course can be selected from Table 2 or from the university list of free electives.

Table 2: List of recommended items for the introductory layer

РБ Subject Semester ECTS
1 Databases VII 6
2 Machine learning  VII 6
3 Research methodology in ICT  VII 6
4 Processing of natural languages ​​  VII 6
5 Parallel and distributed processing   VII 6
6 Artificial Intelligence VIII 6
7 Intelligent systems VIII 6
8 Non-relational databases  VIII 6
9 Intelligent Information Systems VIII 6
10 Introduction to Bioinformatics  VIII 6

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).

 

3. Studies

Table 3: Course structure in IX and X semesters

РБ Subject Semester З / И ECTS
1 Introduction to Molecular Biology   IX З 6
2 Basics of Bioinformatics IX З 6
3 Selected from Table 4 IX И 6
4 Selected from Table 4 IX И 6
5 Selected from Table 4 IX И 6
6 Advanced Mathematical and Statistical Techniques IX З 6
7 Selected from Table 4 X И 6
8 Master Thesis X З 18

 

Table 4 shows the elective courses from the Bioinformatics study program. In addition to these courses, the student can choose from all elective courses defined for all study programs of the second cycle that are serviced by the faculty. One elective course can be chosen from the university list of free elective courses. Table 4: Electives

 

Table 4: Electives

РБ Subject Semester ЕКТС Fund hours
1 Structural Bioinformatics and Proteomics IX 6 4 + 0 + 0 + 0
2 Scientific computing in bioinformatics IX 6 4 + 0 + 0 + 0
3 Wavelets in Numerical Simulations IX 6 4 + 0 + 0 + 0
4 Information processing in biological systems IX 6 4 + 0 + 0 + 0
5 Introduction to Computational Neuroscience IX 6 4 + 0 + 0 + 0
6 Introduction to genetic Engineering  X 6 4 + 0 + 0 + 0
7 Mathematical Biology X 6 4 + 0 + 0 + 0
8 Biological Sequence Analysis X 6 4 + 0 + 0 + 0

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found at this link .

Computer Science (3+1+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Academic second cycle studies in Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 2   or   4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory course and 1 elective, which can be from the university list (only if in the first semester the courses are selected at the Faculty level) and a final project of 18 ECTS.
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of   Computer Science

 

2. Introductory layer

 

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 of Table 2 VII 6
2 Mandatory subject 2 of Table 2 VII 6
3 Mandatory subject 3 of Table 2 VIII 6
4 Mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list freeitems VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with postgraduate studies in intelligent systems. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW317  Formal languages and automata VII 6 no
2 CSEW308   Linear Algebra VII 6 no
3 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
4 CSEW517   Machine learning  VII 6 no
5 CSEW507   Visualization  VII 6 Object-Oriented Programming
6 CSES419   Algorithms and Complexity VIII 6 One of the subjects: Algorithms and Data Structures, Algorithms and Data Structures, Data Structures
7 CSES622   Data Mining VIII 6  
8 CSES619   Advanced Databases  VIII 6 Databases
9 CSES621   Parallel Programming VIII 6 Advanced Software Development
10 CSES629   Data Warehouses and OLAP VIII 6 Algorithms and data structures, Databases

 

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).  

 

3. Studies

Tableand 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 KN-Z-01 Advanced algorithms  IX З 6
2 KN-Z-02 Optimization methods  IX З 6
3 KN-Z-03 Formal methods  IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 KN-Z-04 Research methods and writing techniques X З 6
7 Elective X И 6
8 Master Thesis X З 18

 

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New Code / Subject Semester ECTS
1 КН-И-01 Modern simulations and modeling  IX 6
2 KN-I-02  Big Data Concepts and Applications IX 6
3 KN-I-03  Database Performance, Reliability and Security IX 6
4 KN-I-04  Complexity Theory and Coding  IX 6
5 KN-I-05  Text-data processing IX 6
6 KN-I-06  Modern trends in parallel processing IX 6
7 КН-И-07      
8 КН-И-08  Big Data Modeling and Management X 6
9 KN-I-09  Bayesian Data Analysis  X 6
10 KN-I-10  Business process mining  X 6
11 IS-Z-02  Advanced artificial intelligence and machine learning  IX 6
12 СИ-И-01  Time series analysis and forecasting  IX 6
13 BK-I-07  Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16  Computational Game Theory  X 6
16 БК-И-08 Advanced Algebraic Structures X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Smart connected systems (3+1+1)

1. General Information

 

Postgraduate studies in smart connected systems aim to provide quality and top European education and training to ICT engineers with in-depth knowledge of smart systems connected via the Internet of Things (IoT). Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, programming, management, testing and monitoring of smart IoT systems and work with various types of the latest embedded technologies, including new IoT business aspects. >

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Study Program Name: Academic Second Cycle Studies in Smart Connected Systems
  • Scientific-research area: technical-technological
  • Field: Computer Engineering & Informatics
  • Area: Information Systems and Networks
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
  • Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of smart connected systems

 

2. Introductory layer

 

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 of Table 2 VII 6
2 Mandatory subject 2 of Table 2 VII 6
3 Mandatory subject 3 of Table 2 VIII 6
4 Mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The choice of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in Internet technologies. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ New Code / Subject Semester ECTS Prerequisite2
1 CSEW705   Innovation in ICT   V 6  
2 CSEW502   Microprocessor Systems V 6  
3 CSES627   Sensor Systems VI 6  
4 CSEW525   Personal and Ad Hoc networks V 6  
5 CSES813   ARM architecture VIII 6  
6 CSES604   Embedded Computer Systems VI 6  
7 CSES608   Digital Signal Processing IV 6  
8 CSES405   Wireless mobile systems  VI 6  
9 CSEW702   Web based systems  VII 6  
10 CSEW519   Mobile platforms and programming  VII 6  

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).

 

3. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester З / И ECTS
1 Building the Internet of Things and Security IX З 6
2 Acquisition and data processing systems IX З 6
3 Smart City IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 Developing IoT applications and IoT platforms X З 6
7 Elective X И 6
8 Master Thesis X З 18

 

The following table shows the electives from the study program

Table 4: Electives

РБ New code /   Subject Semester ЕКТС
1 PS-I-01   Data Analysis from Related Systems X 6
2 PS-I-02   Sensory data fusion IX 6
3 ПС-И-03   Smart mobility X 6
4 ПС-И-04   Smart contracts in IoT IX 6
5 PS-I-05   Smart Energy Networks IX 6
6 ПС-И-06 Smart and connected healthcare X 6
7 PS-I-07  IoT for Environmental Systems IX 6
8 PS-I-08   Open & Related Data X 6
9 ПС-И-09  Smart production and monitoring systems X 6
10 PS-I-01   Smart Financial Systems and Stock Exchange IX 6
11 IT-I-01   5G: Fifth Generation Wireless Mobile Systems IX 6
12 ИТ-И-04   E-business IX 6
13 ИТ-И-11 Smart Sensor Networks X 6
14 IT-I-13   Network Virtualization and Cloud Computing X 6
15 ИТ-И-18 Data Science IX 6
16 ИС-И-21   Sensor-robotic systems X 6
17 СИ-И-01   Time series analysis and forecasting  IX 6
18 EI-Z-03   Implementation of Geographic Information Systems  X 6

 

The student can choose a course from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Cloud computing (3+1+1)

Cloud computing (3+1+1)

Cloud computing postgraduate studies aim at top European education and training, which after graduation will be able to deliver scalable and resilient infrastructure, platforms and software, which are high quality and reliable and which meet the needs of local industry.

The cloud computing program is compatible with the respective studies offered at most of the world's universities that support this topic and provide student mobility.

  • Name of the proposer: University "St. Cyril and Methodius University in Skopje,   Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program:   Academic   second cycle cloud computing studies
  • Scientific-research area:   2 technical-technological
  • Поле:   212   Computer Technology & Informatics
  • Област:   21208   other
  • The value of postgraduate studies is   60 ECTS credits .
  • Duration of studies:   2 semesters .
  • An academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Conditions for enrolling in the studies : The studies can be enrolled in cloud computing graduate students who have 240 or 180 undergraduate credits.
  • Introductory layer : students who earned less than 240 credits during their studies a set of differential introductory courses is offered. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester: 2 compulsory subjects, 1 elective general education subject, 2 elective subjects in the field, one of which can be from the list of free elective subjects at UKIM.
  • Second semester: 2 elective courses in the field, one of which can be from the list of UKIM (only if in the first semester the courses are selected at the faculty level) and completed project - master's thesis (18 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4

Acquired title:     Master of Information Science and Computer Engineering in the field of cloud computing.

2.   Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

 

code

subject

SEMESTER

ECTS

Prerequisite

1

CSEW506

Web programming 

seventh

VII

6

Internet technologies

2

CSEW705

Innovation in ICT  

seventh

VII

6

no

3

 

Elective course 1

seventh

VII

6

 

4

 

Elective course 2

seventh

VII

6

 

5

 

Elective course 3

seventh

VII

6

 

6

CSES802

Cloud Virtualization and Computing

eighth

VIII

6

Computer Network Design, Network Services Administration, Computer Networks, Internet

7

CSES628

Service Oriented Architectures

eighth

VIII

6

Internet programming

8

 

Elective course 4

eighth

VIII

6

 

9

 

Elective course 5

eighth

VIII

6

 

10

 

Optional *

eighth

VIII

6

 

* Course can be selected from the University list of free elective courses

 

Table 2: List of electives in introductory layer

 

 

code

subject

SEMESTER

ECTS

Prerequisite

1

CSEW526

High performance computing

seventh

VII

6

Computer architecture and organization or computer architectures

2

CSEW513

Distributed Systems

seventh

VII

6

Computer Networks, Algorithms and Data Structures

3

CSEW702

Web based systems 

seventh

VII

6

None

4

CSEW718

Distributed and parallel processing

seventh

VII

6

Operating systems, parallel programming

5

CSEW312

Multimedia Technologies

seventh

VII

6

Introduction to IT or

Fundamentals of Software Engineering

6

CSEW515

Computer Ethics

seventh

VII

6

None

7

CSEW514

Implementation of Free and Open Source Systems  

seventh

VII

6

None

8

CSEW522

Advanced Web Design 

seventh

VII

6

None

9

CSES621

Parallel programming

eighth

VIII

6

Advanced Software Development

10

CSES602

Security of computer systems

eighth

VIII

6

Operating systems

11

CSES634

ICT Project Management 

eighth

VIII

6

None

12

CSES601

Administering IT systems

eighth

VIII

6

None

13

CSES618

Network Security 

eighth

VIII

6

Data and Computer Communications, Operating Systems

14

CSES622

Data Mining 

eighth

VIII

6

None

15

CSES630

Modern computer architectures 

eighth

VIII

6

Computer Architecture and Organization or Computer Architectures

16

CSES619

Advanced Databases 

eighth

VIII

6

Databases

17

CSES609

Computer Network Design

eighth

VIII

6

Data and computer communications

 

After usOn completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second year of postgraduate studies.

3. Studies
 

Table 1: List of Postgraduate Courses

 

 

Name of the subject

Status

Семестар

ECTS

1

Virtualized Data Centers 

M

winter

6

2

Scalability and multitenancy for SaaS applications 

M

winter

6

3

Elective general education subject *

E

winter

6

4

Elective

E

winter

6

5

Elective

E

winter

6

6

Elective

M

summer

6

7

Elective

E

summer

6

8

Master Thesis

M

summer

18

* Select one item from Table 2

Table 2. General education subjects  

 

Code

Name of the subject

Status

Семестар

ECTS

1

СЕ-E2-08

Business modeling 

E

winter

6

2

ОО-M-01

Research Methods and Writing Techniques

E

winter

6

3

СЕ-E1-04

 Privacy, ethics and social responsibility

E

winter

6

3.1 Electives

Configure
The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered elective courses can be found at this link.

Software Engineering (3+1+1)

1. General Information

 

The second cycle studies in software engineering aim to provide quality and top European education and training of software engineers who will be able to bear the technical and economic responsibility of designing, developing, using and maintaining complex software systems. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, designing, developing and running software projects, including their business aspects.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Study Program Name: Academic Second Cycle Software Engineering Studies
  • Scientific-research area: technical-technological (2)
  • Field: Computer Science and Informatics (212)
  • Area: Software Engineering
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
  • Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 compulsory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained after graduation is

 

- Master in Information Science and Computer Engineering in the field of Software Engineering

 

2. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 From Table 2 VII 6
2 Mandatory subject 2 From Table 2 VII 6
3 Mandatory subject 3 From Table 2 VIII 6
4 Mandatory subject 4 From Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in software engineering. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW522   Advanced Web Design  VII 6 no
2 CSEW519   Mobile platforms and programming VII 6 Object-Oriented Programming
3 CSEW702   Web based systems  VII 6 Network Programming
4 CSEW514  Implementation of Free and Open Source Systems  VII 6 no
5 CSEW313   Advanced Programming  VII 6 Object-Oriented Programming
6 CSEW704   Integrated Systems Design VIII 6 Databases
7 CSES602   Security of computer systems VIII 6 Operating Systems
8 CSES616   Mobile Applications VIII 6 Object-Oriented Programming
9 CSES631   Software Quality and Testing VIII 6 Software Engineering
10 CSES634   ICT Project Management VIII 6 no

 

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 SI-Z-01 Software lifecycle management  IX M 6
2 SI-Z-02 DevOps software development IX M 6
3 СE-M-03 Software Design Templates IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 SI-Z-04 Software quality management X M 6
7 Elective X E 6
8 Master Thesis X M 18

 

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered in the other second cycle studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 SI-I-01   Time series analysis and forecasting IX 6
2 SI-02  Design of video games and special effects IX 6
3 СE-E-03   Medical Informatics IX 6
4 СE-E-04   Multimedia and scalable web   IX 6
5 СИ-И-05  Model based software Engineering IX 6
6 SI-06   Critical systems software engineering X 6
7 СE-E-07   Engineering Ethics  X 6
8 SI-08   ERP Business Systems Engineering X 6
9 СE-E-09   Software reliability X 6
10 СE-E-10   Shape Recognition X 6
11 SI-I-11   Decision Support Systems X 6
12 СE-E-12   System Integration X 6
13 СE-E-13   Software Architectures X 6
14 IS-I-06   Analysis and Design of Information Systems IX 6
15 IT-Z-02   Advanced mobile and web applications IX 6
16 ITMW01  Advanced Software Project Management IX 6
17 IT-I-05   Data visualization IX 6
18 КН-M-03   Formal methods IX 6
19 IT-Z-03   Internet Security & Privacy IX 6
20 IS-I-14   Multimodal interaction X 6
21 IS-I-18   Intelligent mobile applications X 6
22 ITMS01 Advanced Software Requirements Engineering X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Statistics for data analysis (3+1+1)

1. General Information

This program is designed to train staff with solid statistical knowledge with a focus on the newly recognized field of data science. The curriculum combines rigorous statistical theory with broader practical experience in applying statistical models to data work. Graduates will be in high demand. Most students are expected to be employed as statisticians, analysts and data experts within private and public institutions providing statistical consultations.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Title of the study program: Second cycle academic studies in Statistics for Data Analysis
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Informatics / Mathematics
  • Areas: Mathematical Statistics and Operations Research, Data Processing, Applied Mathematics and Mathematical Modeling, Programming, Artificial Intelligence, Algorithms, Information Processing .
  • The value of postgraduate studies is 120 ECTS credits.
  • Duration of studies: 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Requirements for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 180 credits.
  • Introductory Layer : The introductory layer is the first two semesters in which students are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • Third semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Fourth semester : 1 Mandatory course and 1 elective course, the elective course can be from the University list (only if in the first semester the courses are selected at the Faculty level) and the final project - master's thesis from 18 ECTS.
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.
  • The academic title or degree obtained upon completion of the studies is Master of Science in Information Science - Statistics for Data Analysis

                Master of Science in Informatics - Statistics for Data Analytics

 

2. Introductory layer

The first year of study is the introductory layer for students whose studies lasted less than four years, ie students who gained 180 credits from previous studies. Students must pass differential exams that will enable them to enter the basics of mathematics and computer science needed to successfully complete their studies.

Table 1: List of subjects in the first year of study

РБ CODE / Subject Semester M / E ECTS
1 Mandatory subject 1 from Table 2 VII M 6
2 Mandatory subject 2 from Table 2 VII M 6
3 Mandatory subject 3 from Table 2 VII M 6
4 Mandatory subject 4 from Table 2 VII M 6
5 Elective course 1 * VII E 6
6 Mandatory subject 5 from Table 2 VIII M 6
7 Mandatory subject 6 from Table 2 VIII M 6
8 Mandatory subject 6 from Table 2 VIII M 6
9 Elective course 5 * VIII E 6
10 Selection from the university list of free courses VIII E  

 

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in statistics for data analysis. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (III and IV semester).

  * Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

 

Table 2: List of recommended courses in the first year of study

РБ New code /   Subject Semester ECTS
1 F18L1W011 Discrete Mathematics VII / VIII 6
2 F18L1S013 Calculus VII 6
3 F18L2W006 Probability and statistics VII 6
4 F18L3W035 Linear Algebra and Applications VII 6
5 F18L3W008 Introduction to Data Science VII 6
6 F18L3W161 Social Networks and Media VII 6
7 F18L3W108 Internet of Things VII 6
8 F18L3W004 Databases VII 6
9 F18L3W068 Computing in the Cloud VII 6
10 F18L3S036 Machine learning VIII 6
11 F18L3S150 Data Mining VIII 6
12 F18L3S163 Statistical Modeling VIII 6
13 F18L3S157 Data warehousing and analytics VIII 6
14 F18L1S023 Business Statistics VIII 6
15 F18L3W076 Introduction to time series analysis VIII 6

 

Table 3: List of Postgraduate Courses in Statistics for Data Analysis

РБ CODE / Subject Semester M / E ECTS
1 SNP-Z-1 Data analysis with statistical packages IX M 6
2 SDP-Z-3 Bayesian data analysis IX M 6
3 SDP-Z-4 Data preparation and research IX M 6
4 Elective item from Table 4 IX E 6
5 Elective item from Table 4 IX E 6
6 SNP-Z-2 Regression Models X M 6
7 Elective item from Table 4 X E 6
8 Master Thesis X M 18

 

Table 3 lists the electives from the Statistics for Data Analysis study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective subject from the university list nand free electives.

 

 

Table 4: Optional list of offered items

РБ New code /   Subject Semester ECTS
1 Methods of statistical locking IX 6
2 Concepts and application of big data IX 6
3 Analysis and forecasting time series IX 6
4 Advanced algorithms IX 6
5 Modeling and fusing IX 6
6 Information Processing in Biological Systems IX 6
7 Analysis of data from related systems IX 6
8 Text Data Processing IX 6
9 Optimization methods IX 6
10 Data processing in bioinformatics IX 6
11 Network Analysis IX 6
12 Ambiental intelligence IX 6
13 Web of the Future IX 6
14 Statistical Programming X 6
15 Statistical Learning X 6
16 Multidimensional statistical analysis X 6
17 Numerical methods for data science X 6
18 Statistical research skills: editing , reporting and visualization of data X 6
19 Business Analytics X 6
20 Random processes X 6
21 Big Data Modeling and Management X 6
22 Discovering knowledge in big graph data X 6
23 Open and related data X 6
24 Modern Simulations and Modeling X 6
25 Computational paradigms in the Internet of Things X 6
26 Data analysis from mobile sensors / sources X 6
27 Intelligent mobile applications X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

IT Management (3 +1+1)

IT Management   (3 + 1 + 1)

1. General Information

Postgraduate studies in Information Technology Management aim to provide quality and top European education and training of highly educated staff with in-depth knowledge of methods and techniques for managing ICT projects and systems. Upon completion of their studies, these staff will be able to take responsible positions in the processes of planning, design, management and monitoring of ICT projects and systems, including their business aspects.

The program in Management Studies in Information Technology is compatible with the relevant studies offered at most of the world's universities that support this topic and enable student mobility.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje,   Faculty of Information Sciences and Computer Engineering - FINKI
  • Study Program Name:   Information Technology Management
  • Scientific-research area:   2 technical-technological
  • Field
  • The value of postgraduate studies is   60 ECTS credits .
  • Duration of studies:   2 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Admission Requirements : Students in Information Technology Management can enroll in graduate students who have 240 or 180 undergraduate credits.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester: 2 mandatory courses, 2 elective courses in the field.
  • Second semester: 1 mandatory subject in the field, 1 elective subject in the field and 1 elective subject from the list of UKIM and final project - master's thesis (18 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following general abilities and qualifications:

  • Ability to work in interdisciplinary teams
  • Power of analysis and synthesis
  • Power to apply knowledge in practice
  • Power to generate new ideas (creativity)
  • Power of learning
  • Ability to critique and self-critique
  • Ability to make decisions
  • Knowledge of English
  • Research skills

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following specific abilities and qualifications:

    Knowledge and Understanding

 

Provides in-depth knowledge and understanding of the theoretical foundations of software and innovation project management, information systems and risk management and other disciplines.

Acquiring the necessary knowledge in the field of management with ICT systems and projects.

Development of advanced skills in planning, design, design, management, testing, and implementation of ICT systems and projects.

Demonstrates a high level of professional competence in the analysis of empirical data in the fields of business, industry, economics and government.

 

Work with applied projects to manage projects, resources, money and people.

Governs the latest industry standards and best practices, as well as opportunities for improvement and future development in the area.

  Applying knowledge and   understanding

 

Can apply knowledge and understanding for professional development in a narrower area of ​​Information Technology Management.

Demonstrates skills and knowledge necessary for the individual to be competent in managing IT systems and projects at a high level.

The competenciesQualify with solid management and technical foundation with the ability to include a selected range of broader aspects of Management in Information Technology and the like that will meet the needs of the professional in this field with constant and rapid development.

 

In-depth management knowledge required for effective work of ICT manager, independent specialist or member of specialized team.

  Ability to evaluate

 Demonstrates a commitment to self-improvement and continuous professional development

Demonstrates in-depth knowledge of advanced analysis and design techniques in the fields of Information Technology Management.

Demonstrates knowledge of best practices for improving productivity and mutual understanding in business organizations taking into account personal, social, scientific and ethical aspects.

Demonstrates the ability to make managerial decisions independently and link business practice with application solutions.

  Communication Skills

Demonstrates the ability to communicate with colleagues and work in a team through a high level of awareness of the importance and power of communication.

Illustrates effective exchange of information, ideas and reasoned proposals.

Demonstrates high ability to work and lead multidisciplinary teams

Demonstrates ability to plan and manage time at managerial level and professional socialization and conflict resolution.

Recognizes complex organizational structures and the need to restructure them,   understands their impact on effectiveness and efficiency in combination with modern technologies.

 

  Learning Skills

 Demonstrates an understanding of the basics of research methodology, with the ability to evaluate, design and conduct research in the field, formulate, plan a research project and communicate in depth on a topic.

 

Demonstrates the ability to reasonably evaluate and generate ideas with creative and critical thinking, mastering new theories, models, techniques and technologies, while appreciating the need for continuous professional development.

Able to select and understand procedures and methods for structuring, consolidating, and handling information and data in an environment.

Has high self-confidence and independence, proactivity and self-awareness to perform and delegate tasks and manage further career.

 

Acquired title:   Master of Information Science and Computer Engineering in Information Technology Management. & Nbsp;

2.   Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

 

 

Code

Subject

Weekly fund

Semester

ECTS

1  

  CSEW501

 Management Information Systems  *

2 + 2 + 1

winter

6

2  

  CSEW705

  Innovation in ICT   *

2 + 1 + 2

winter

6

3  

 

  Selected from Table 2

 

winter

6

4  

 

  Selected from Table 2

 

winter

6

5  

 

  Selected from Table 2

 

winter

6

  6  

  CSES811

  Entrepreneurship *  

2 + 1 + 2

summer

6

7  

  CSES634

  ICT Project Management *  

2 + 2 + 1

summer

6

8  

 

  Selected from Table 2

 

summer

6

9  

 

  Selected from Table 2

 

summer

6

10  

 

  Elective **

 

summer

6

* If the student has passed the course in his / her undergraduate studies, he / she will have to choose another course from the list of elective courses from the introductory layer (Table 2).

** The course can be selected from the list of electives from Table 2 or from the university list of free electives

Table 2: List of introductory electives

 

Code

Subject

Weekly fund

Semester

ECTS

1  

  CSEW528

User support 

2 + 1 + 2

winter

6

2  

  CSEW505

Software requirements analysis

2 + 2 + 1

winter

6

3  

  CSEW701

Information Systems Analysis and Design 

2 + 2 + 2

winter

6

4  

  CSEW704

Design of integrated systems

2 + 1 + 2

winter

6

5  

  CSEW511

Software design and architecture

2 + 1 + 2

winter

6

6  

  CSEW514

Implementation of Free and Open Source Systems  

2 + 1 + 2

winter

6

7  

  CSEW515

 Computer Ethics

4 + 0 + 0

winter

6

8  

  CSEW310

Marketing 

2 + 2 + 1

winter

6

9

  CSES631

Software quality and testing

2 + 1 + 2

summer

6

10

  CSES625

IS development process

2 + 2 + 2

summer

6

11

  CSES612

Electronic & Mobile Commerce 

2 + 2 + 2

summer

6

12

  CSES610

e-Government 

2 + 1 + 2

summer

6

13

  CSES617

Business Process Modeling

2 + 1 + 2

summer

6

14

  CSES606

Geographic Information Systems 

2 + 1 + 2

summer

6

15

  CSES205

Business and Management

2 + 2 + 1

summer

6

16

  CSES628

Service Oriented Architectures

2 + 2 + 2

summer

6

17

  UKIM-I

Selection from University list of free courses

 

 

 

 

After successfully completing all ten courses and achieving 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the subjects from the second academic year of postgraduate studies.

 

3. Studies
 

Table 1: List of Postgraduate Courses

 

 

Code

Item name

Status

Semester

ECTS

П

А

Л

1

ITMW01

Advanced software project management 

M

winter

6

2

1

0

2

ITMW02

Advanced ICT Innovation and Entrepreneurship 

M

winter

6

2

1

0

3

 

Elective

E

winter

6

 

 

 

4

 

Elective

E

winter

6

 

 

 

5

 

Elective

E

winter

6

 

 

 

6

ITMS01

Advanced Software Requirements Engineering 

M

summer

6

2

1

0

7

 

Elective

E

summer

6

 

 

 

8

 

Master Thesis

M

summer

18

 

 

 

3.1 Elective Courses

Configure
The student can choose a subject from the list of offered elective subjects from all study programs of the second cycle of studies. The list of offered elective courses can be found at   this link.

Intelligent Systems Engineering (4+1)

Intelligent Systems Engineering (4+1)

1. General information
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Other
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 

2. Studies

Table 1: List of courses for master studies in Bioinformatics module.
  Professor Course

Semester

 ECTS
 1   prof. Smile Markovski, assoc. prof. Ana Madevska Bogdanova

 Computer science for Intelligent Systems

IX

 6
 2  assist. prof. Nevena Ackovska , assoc. prof. Marija Mihova  Information processing in biological systems IX 6
 3  prof. Sasho Panov  Molecular biology of the cell

IX

6
 4  

 Elective course

IX

6
 5    Elective course

IX

6
 6  assoc. prof. Ana Madevska Bogdanova, prof. Zaneta Popeska  Data mining for bioinformatics X 6
 7    Elective course X 6
 
Table 2: List of courses for master studies in Robotics module.
   Professor

Course

Semester

 ECTS
 1  prof. Smile Markoski, assoc. prof Ana Madevska Bogdanova

 Computer science for Intelligent Systems

IX

 6
 2 assist. prof. Nevena Ackovska, assoc.  prof. Marija Mihova  Information processing in biological systems IX 6
 3 assoc. prof. Andrea Kulakov, assist. prof. Nevena Ackovska

 Introduction to robotics

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assoc. prof. Ana Madevska Bogdanova, assist. prof. Gjorgji Madzarov  Machine learning X 6
 7    Elective course X 6
 

Computer Sciences (4+1)

Computer Sciences (4+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters.
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
2. Studies
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS
 1   assoc. prof. Ana Madevska Bogdanova, assoc. prof. Marija Mihova, assist. prof. Anastas Mishev, assist. prof. Boro Jakimovski

 Advanced algorithms

IX

 6
 2  assist. prof. Boro Jakimovski, elect. assist. prof. Jasen Markovski  Formal methods IX 6
 3  prof. Vancho Kusakatov, prof. Margita Kon-Popovska, assist. prof. Vesna Dimitrievska Ristovska

 Optimization

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

X

6
 6    Elective course X 6
 7    Elective course X 6
 

Coding and Cryptography (4+1)

Coding and Cryptography (4+1)

1. General information
The goal of the coding and cryptography master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about cryptography and coding theory. Upon completion of this master study programme, the ICT engineers will be able to meet the industry needs.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Coding and Cryptography master studies
  • Scientific-research field: Natural Science and Mathematics
  • Category: Computer Science
  • Sub-category: Computer security, Cryptography and Coding Theory
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of coding and cryptography. 
 
2. Studies
Table 1: List of courses for master studies
 
   Professor

Course

Semester

 ECTS
 1   prof. Smile Markovski, assist. prof. Vesna Dimitrova

 Advanced Cryptography

IX

 6
 2  assist. prof. Vesna Dimitrova, assist. prof. Boro Jakimovski  Information security IX 6
 3  prof. Verica Bakeva, prof. Smile Markovski

 Coding Theory

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assist. prof. Boro Jakimovski, elect. assoc. prof. Danilo Gligoroski  Computer security X 6
 7    Elective course X 6