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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

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

Software Engineering (4+1)

Software Engineering (4+1)

1. General information
 
The goal of the master studies in software engineering is to provide top quality European education and training for the software engineers that will be ready to cope with the technical and economic responsibility while projecting, developing, using and maintenance of complex software systems. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design, development and leading software projects including their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Software engineering
  • Scientific-research field: Engineering and Technology
  • Category: Information engineering
  • Sub-category:Software engineering
  • 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 if 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 software engineering
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Dejan Gjorgjevikj, assist. prof. Ivan Chorbev

 Advanced topics in software engineering

IX

6
 2  assoc. prof. Dejan Gjorgjevikj, prof. Suzana Loshkovska  Software design patterns IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  prof. Suzana Loshkovska, assist.  prof. Ivica Dimitrovski, assist. prof. Anastas Mishev  Softeware testing and usability X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Software Engineering TEMPUS (4+1)

Software Engineering TEMPUS (4+1)

1. General information 

The MSc curriculum in software engineering is committed to excellence in European-wide software education and training of engineers to deliver high quality and trustworthy software systems that meet the local industrial needs.

 

General competencies

  • Ability to work in an interdisciplinary team
  • Capacity for critical analysis and synthesis
  • Capacity for applying knowledge in practice
  • Capacity for generating new ideas (creativity)
  • Capacity to learn
  • Decision-making
  • Knowledge of a second language
  • Research skills 

Specific learning outcomes

  • Show mastery and critical thinking of the software engineering (SE) knowledge and skills and professional issues necessary to begin practice/research as a software engineer.
  • Work as individual or as part of a team to develop and deliver high quality software artefacts, being able to analyze its level of quality.
  • Identify, analyse, and reconcile conflicting project objectives, finding acceptable compromises within limitations of cost, time, knowledge, existing systems and organizations.
  • Analyze, design and document appropriate solutions in more than one application domains using SE approaches that integrate ethical, social, legal and economic concerns.
  • Demonstrate an understanding of and critically analyze and apply current theories, models and techniques that provide a basis for problem identification and analysis, software design, development, implementation, verification and documentation.
  • Demonstrate an appreciation and understanding for the importance of negotiation, effective work habits, leadership and good communication with stakeholders in a typical, industry-strength software environment.
  • Learn new theories, models, techniques and technologies as they emerge and appreciate the necessity of such continuing professional development. 
  • Offered by: Sts. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE in collaboration with the University of Novi Sad, Faculty of Natural Sciences and Mathematics, Department of Mathematics and Computer Science
  • Study programme: Joint MSc curricula in Software Engineering / Tempus JEP 18035
  • Scientific-research field: Computer Science
  • Category: Computing
  • Sub-category: Software and its Engineering, Theory of Computation, Information Systems
  • 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 the second semester there 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.
  • First semester: 5 elective courses divided into two groups: general SE competence and specific SE competence. Student can select at most two from the general SE courses, and at leas from the specific SE courses
  • Second semester: Final master thesis project that equals 30 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 

Degree: Master of computer science in the area of software engineering.

Computer networks and e-technologies (4+1)

Computer networks and e-technologies (4+1)

1. General information 
 
The goal of the computer networks and e-technologies master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about computer networks and e-technologies. Upon completion of this master study programme the ICT engineers are expected to take up responsible higher level positions in the business and engineering processes of planning, design, managing and monitoring of computer networks. They are also expected to be able to efficiently and effectively employ various state of the art e-technologies and fully understand their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Computer networks and e-technologies master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category: Communication engineering and systems
  • 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 computer networks and e-technologies
 
2. Studies
 
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS

 1   Academian prof. Ljupco Kocarev

 Modern network analysis methods

IX

6
 2  assoc. prof. Dimitar Trajanov  E-business IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assist. prof. Sonja Filiposka  Next generation networks X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Intelligent Information Systems (4+1)

Intelligent Information Systems (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: Intelligent systems
  • 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
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Information systems analysis and design

IX

6
 2  assoc. prof. Andrea Kulakov  Advanced topics in Artificial Intelligence IX 6
 3  

 Mandatory general-education course

IX

6

 4    Elective course IX 6
 5    Elective course

IX

6

 6  assoc. prof. Vladimir Trajkovikj  Collaborative computer systems X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Content-based Retrieval (4+1)

Content-based Retrieval (4+1)

1. General information
 
Master studies in content-based retrieval (multimedia data engineering) will enable students to understand and develop advanced algorithms and techniques for analyzing, indexing and comparing the contents of different data types including the latest technologies in the areas of databases and computer intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Content-based retrieval master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category:information processing
  • 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 content-based retrieval
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Modeling and representing unstructured data

IX

6
 2  assist. prof. Ivica Dimitrovski, assist.  prof. Sonja Gievska  Content based indexing and retrieval IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assist. prof. Igor Trajkovski  Data fusion X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Bioinformatics (4+1)

Bioinformatics (4+1)

1. General information
 
Master studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases, and modeling of events and processes that occur at the level of cell,organ or organism, including the latest technologies in the areas of databases, molecular biology, genetics and machine Intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Bioinformatics master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and 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)
  • 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 bioinformatics 
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   prof. Sasho Panov  Introduction to molecular biology

IX

6
 2  assoc. prof. Slobodan Kalajdziski  Bioinformatics algorithms IX 6
 3    Mandatory general-education course

IX

6

 4    Elective course IX  6
 5    Elective course

IX

6

 6  Academian prof. Ljupco Kocarev, prof. Zaneta Popeska  Advanced mathematical and statistical techniques X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6