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Vesna Dimitrievska Ristovska Ph.D.

 

 

 

 

Transform your vision into working IT solutions faster, without compromising quality or overburdening your team. For over 15 years, we’ve been helping companies like yours stay ahead of the competition and complete projects on budget and on time - every time. We enable Software Companies and Managed Service Providers with reliable, responsive and efficient services, while never competing in your product or services market. ISO 20000 and 27001 Certified in Managed ICT services.

Responsibilities

  • Analyzing current approaches and developing a strategy for automating the testing process.
  • Coding automated tests for the web / mobile applications
  • Contributing to CI/CD pipeline design, build and maintenance to support quality engineering practices.
  • Creating and reviewing solution documentation.
  • Collaborate with group of Engineers
  • Write clear and concise defect reports
  • Provide consistent and clear status in verbal and written communications

 

Qualifications And Experience

  • Strong interest in software testing (no previous experience required)
  • Willing to test Web, Desktop or Mobile applications
  • You have solid skills in programming & scripting
  • Demonstrated ability to manage expectations and timelines according to project needs
  • You are familiar with test automation (mobile or web)
  • You are familiar with the concept of CI/CD
  • Strong analytical and organizational skills
  • Highly driven, positive attitude, self-motivated team player
  • Very good written and spoken English skills

 

We offer:

  • Competitive salary package
  • Ongoing learning opportunities – complex projects, training, coaching, conferences, workshops, certifications, online learning platforms, subscriptions, etc.
  • Work-Life balance with flexible working hours & home-office possibilities
  • Sport activities & Team buildings
  • Private health insurance

 

We are looking forward to receiving your CVs at jobs@vestel.net.mk

1

Metergram is excited to welcome "Powering the Future", an event dedicated to the latest trends and breakthroughs in EV charging with the support of our friends at Women in Tech® Macedonia.

No matter your background – industry expert, EV enthusiast, student, or forward-thinking professional – join us to gain valuable insights into the latest EV charging technologies and trends.

Key topics to be covered:

  • Turning Data into Insights: The Architecture Behind a Modern Data Platform with Fabric – Explore how data analytics is contributing to business intelligence and decision-making
  • EV Charging Flow in Action: Understanding the Process – A deep dive into the EV charging flow, from authorization to session completion
  • Comprehensive Technical Audit of an EV Charging Software System – A closer look at what a technical audit involves to ensure optimal performance and reliability
  • Breaking the QA Myth: It's Not Just Testing, It's Business Success – Unravel the critical role of quality assurance in EV charging solutions
  • Overview of EV Charging Protocols and the Role of OCPP – Understand the significance of communication protocols in ensuring interoperability
  • OCPI: An Overview of EV Roaming – Understand how the Open Charge Point Interface enhances interoperability
  • Beyond the Plug: The Digital Transformation of EV Charging Solutions – Discover how digital technologies are revolutionizing the EV charging landscape

Be at the forefront of EV charging innovation!

Register here: https://lnkd.in/dVgG6fWw

1

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

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.

Intelligent Systems Engineering (3+1+1)

Intelligent Systems Engineering (3+1+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.  Introductory courses
 
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.
 
 
Table 1: List of introductory courses for the module Bioinformatics
 

Course

Semester

ECTS

Prerequisite

 1

 Intelligent systems

VII

6  Calculus 3
 2  Databases 2 VII 6 Databases
 3

 Human computer interaction

VII

6

Software engineering

 4  Elective course 1 VII 6  
 5  Elective course 2 VII 6  
 6

 Bioinformatics 

VIII

6

-

 7

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2

 8  Data mining VIII  6  Probability and statistics (or Statistics) and Databases
 9  Elective courses 3 VIII 6  
 10  Elective course from University list of available courses VIII 6  
 
 
Table 2: List of introductory courses for the module Robotics
 

Course

Semester

ECTS

Prerequisite

 1

 Intelligent systems

VII

6 Calculus 3
         
 2  Human computer interaction VII 6 Software engineering
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5  Elective course 3 VII 6  
 6

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2

 7

 Microprocessors and microcontrollers 

VIII

6

 Computer architecture

 8

 Bioinformatics

VIII

6

-

 9  Robotics VIII  6  -
 10  Elective course from University list of available courses VIII 6  
 
 
Table 3: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1  Professional ethics VII 6 Software engineering
 2  Software constriction VII  6 Software architecture and design
 3  Advanced computer systems VII  6 Microprocessors and microcontrollers
               
 4  Statistics  VIII  6 Probability
 5

 Algorithms

VIII

6

Object and visual programming

 6

 Information systems

VIII

6

Databases

 7

 Calculus 3

VIII

6

Calculus 2

 8  Parallel and distributive processing VIII 6  Operating systems
 9  Software architecture and design VIII 6  Analysis of software requirements
10  Network and distributed operating systems VIII 6  Data structures and Operating systems 
 
3. Studies
 
Courses for the Master studies for the study programme Intelligent Systems Engineering can be found at this link.

Intelligent Information Systems (3+1+1)

Intelligent Information Systems (3+1+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. Introductory courses
 
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.
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6 Discrete mathematics
 2  Artificial intelligence VII 6 -
 3  Elective course 1 VII  6 -
 4  Elective course 2 VII  6
 5  Elective course 3  VII  6
 6

WAN networks

VIII

6

 Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 4 VIII 6 -
 9  Elective course 5 VIII 6 -
 10  Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

6 Mathematics 2
 2  Computer graphics VII 6 Object-oriented programming
 3

 Introduction to robotics

VII

6

-

 4  Network programming VII 6 Internet programming
 5  Statistical data processing VII 6 Probability and statistics 
 6  Natural language processing VII 6 Formal languages 
 7

 Web-based systems

VII

6

Network programming

 8  Web design VII 6
 9  Visualization VII 6 Object-oriented programming 
10  Geographic information systems VIII 6 Databases 
11  Human computer interaction VIII 6 Object-oriented programming 
12   E-commerce and m-commerce VIII 6 Computer networks
13  Virtual reality VIII 6 Human computer interaction 
14  Mobile information systems VIII 6 Databases, Distributed computer systems
15  Computer animation VIII 6 Computer graphics
16  Intelligent information systems VIII 6 Databases 
17  High performance computing VIII 6 Computer architectures
18  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Intelligent information systems can be found at this link.

Content-based Retrieval (3+1+1)

Content-based Retrieval (3+1+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. Introductory courses
 
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.
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1  Linear transforms VII 6 Mathematics 2 
 2

 Probability and statistics

VII

6 Discrete mathematics
 3  Artificial intelligence VII 6 -
 4  Elective course 1  VII 6 -
 5  Elective course 2  VII
 6

 WAN networks

VIII

6

 Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 3 VIII 6 -
 9  Elective course 4 VIII 6 -
 10 Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

6 Mathematics 2
 2  Computer graphics VII 6 Object-oriented programming
 3

 Introduction to robotics

VII

6

-

 4

 Web-based systems

VII

6

Network programming

 5  Web design VII 6
 6  Visualization VII 6 Object-oriented programming 
 7  Geographic information systems VIII 6 Databases 
 8  Virtual reality VIII 6 Human computer interaction 
 9  Mobile information systems VIII 6 Databases and Distributed computer systems
10  Computer animation VIII 6 Computer graphics
11  Intelligent information systems VIII 6 Databases 
12  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Content-based retrieval can be found at this link.

Bioinformatics (3+1+1)

Bioinformatics (3+1+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. Introductory courses
 
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.
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1  Linear transforms VII 6 Mathematics 2 
 2

 Probability and statistics

VII

6 Discrete mathematics
 3  Artificial intelligence VII 6 -
 4  Elective course 1 VII
 5  Elective course 2 VII 6
 6

 WAN networks

VIII

6

Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 3 VIII 6 -
 9  Elective course 4 VIII 6 -
 10  Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

6 Mathematics 2
 2  Computer graphics VII 6 Object-oriented programming
 3

 Introduction to robotics

VII

6

-

 4

 Web-based systems

VII

6

Network programming

 5  Web design VII 6
 6  Visualization VII 6 Object-oriented programming 
 7  Geographic information systems VIII 6 Databases 
 8  Virtual reality VIII 6 Human computer interaction 
 9  Mobile information systems VIII 6 Databases, Distributed computer systems
10  Computer animation VIII 6 Computer graphics
11  Intelligent information systems VIII 6 Databases 
12  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Bioinformatics can be found at 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

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.

Security, cryptography and coding (3+1+1)

1. General Information

 

Postgraduate studies in Security, Cryptography and Coding aim at a top European education and training staff, which after graduation will be able to meet the needs of the industry.

  • 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 Security, cryptography and coding
  • Scientific-research area: technical-technological sciences, natural-mathematical and sciences
  • Field: Computer Science and Informatics, Informatics
  • Area: Other ( Computer Security, Cryptography, and Coding)
  • 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 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 mandatorycourses and 2 electives, one of which may be from the University list.
  • Second semester: 1 mandatoryand 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 security, cryptography and coding
 

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. The candidate should choose 4 courses from the proposed list, while the other 5 courses can be selected from the other courses offered at the faculty and one of the courses from the university list. If it happens that the candidate has already passed 7 or more of the recommended courses, then he has the right to choose a course from the other courses offered at the faculty.

 

 

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 VIII 6
6 Elective 2 VIII 6
7 Elective course 3 VII 6
8 Elective 4 VII 6
9 Elective 5 VIII 6
10 Selection from the university list of free courses VII 6

 

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 electives

РБ New Code / Subject Semester ECTS Prerequisite
1 CSEW516 Cryptography  VII 6 Discrete Mathematics 2
2 CSES602   Computer Systems Security VIII 6 Operating Systems
3 CSEW303   Probability and Statistics  VII 6 Calculus 1 (Mathematics 1), Discrete Mathematics 2
4 CSES404   Information Theory with Digital Communications  VIII 6 Probability and Statistics
5 CSEW702   Web based systems  VII 6 no
6 CSEW515   Computer Ethics VIII 6 realized a minimum of 90 ECTS credits
7 CSEW703   Introduction to Pattern Recognition  VII 6 Artificial Intelligence
8 CSES618   Network Security  VIII 6 Data and Computer Communications, Operating Systems
9 CSES405   Wireless & Multimedia Systems VIII 6 Data Computer Communications
10 CSES620   Non-relational databases  VIII 6 Databases

 

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). p>

 

3. Studies

Table 3: List of Postgraduate Courses

РБ New Code / Subject Semester З / И ECTS
1 BK-Z-01 Advanced Information Security   IX З 6
2 BK-Z-02 Applied cryptography   IX З 6
3 BK-Z-03 Coding Theory  IX З 6
4 Elective 2 IX И 6
5 Elective 2 IX И 6
6 BK-Z-04 Computer Security   X З 6
7 Elective course 3 X И 6
8 Master Thesis X З 18

 

When choosing the courses, at least one elective course should be chosen from the offered elective courses in Table 4. The remaining elective courses can be selected from courses offered in all directions of the second cycle of studies at the Faculty of Information Sciences and Computer Engineering, and one of the electives can be chosen from the University list of courses of the second cycle of studies.

 

Table 4: Electives

РБ New code /   Subject Semester ЕКТС Fund hours
П | В
1 BK-I-01   Security for mobile and web applications X 6 30 30
2 BK-I-02   Biometric systems   IX 6 30 30
3 БК-И-03 Provable security X 6 30 30
4 БК-И-04 Cryptanalysis  X 6 30 30
5 БК-И-05 Cryptographic Engineering   IX 6 30 30
6 БК-И-06 Cryptographic Protocols   X 6 30 30
7 БК-И-07 Mathematical Logic for Computer Science IX 6 30 30
8 БК-И-08 Advanced Algebraic Structures X 6 30 30
9 БК-И-09 Advanced communication channel coding algorithms X 6 30 30
10 БК-И-10 Applied Information Theory IX 6 30 30
11 БК-И-11 Stochastic Processes IX 6 30 30
12 БК-И-12 Change and Risk Management    IX 6 30 30
  Selection from University List of Free Courses   6 30 30

 

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 .