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д-р Катерина Здравкова

07/04/2025

Are you eager to break into the world of AI & Machine Learning? vector8 is launching its very first internship program, and we’re looking for curious minds who are ready to dive into real-world AI challenges.

Location: Skopje, hybrid
Expected start: July 2025
Duration: 2 months

Apply to the following link: https://vector8.careers.hibob.com/jobs/1060a56e-56cc-4593-b464-3e33b1830de5

Job requirements

What we are looking for:

  • Students or recent grads in CS, Data Science, or related fields
  • Familiarity with Python, ML frameworks (TensorFlow, PyTorch), and data processing
  • Curiosity, creativity, and a drive to build and learn
  • A strong desire to learn and grow - this is a must!
  • Proficiency in English

Job responsibilities

What you’ll do:

  • Work alongside experienced AI engineers on real cutting-edge projects
  • Train, fine-tune, and evaluate ML models for real-world applications
  • Gain exposure to AI in production, from research to deployment
  • Be part of a fast-growing AI & Cloud engineering company

This is more than an internship—it’s your opportunity to make an impact, learn from experts, and kickstart your AI career.

Benefits:

  • In-office Gym
  • Hybrid work
  • Meal/Lunch benefit

About us

Our mission is to elevate organizations by unlocking the true value of AI, getting the best from Human-Machine collaboration.
We believe that over the next decade, every business will become an AI business and that a new era of AI transformation will enable greater leaps than ever before. We see a world where the seamless integration of human expertise and advanced AI technologies sparks unparalleled growth, efficiency, and resilience across all sectors.
Most AI projects fail to reach production because they don't provide sufficient value. The challenges include inadequate performance, high costs, compliance issues, and limited or no integration with existing business information systems and user workflows.
vector8 addresses these challenges by adopting a unique strategy that merges the strengths of a product vision and custom development expertise. We deliver tailor-made, fine-tuned optimized, and compliant AI solutions swiftly and affordably, leveraging AI Accelerators that tackle common industry problems and can be adapted and combined to build and deploy targeted use cases in production.

1

Intelligent systems (4+1)

1. General Information

 

Postgraduate studies in intelligent systems aim to provide top scientific and research staff to meet the growing demand for highly qualified engineers capable of overcoming the most challenging development, research and process problems. Students in this study program gain knowledge that provides them with great professional flexibility and a wide selection of jobs wherever there is a need to apply problem-solving skills, as well as critical thinking skills, which they will use to solve complex problems. which are in the domain of intelligent systems. Students enrolling and graduating in this field are highly sought after in companies and research centers. In addition to being trained to participate in the development, implementation and maintenance of a variety of applications in the field of intelligent systems, including the business domain, they will have the necessary basis to pursue doctoral studies, as well as to participate in interdisciplinary science projects. and technology.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Course Title: Second Cycle Academic Studies in Intelligent Systems
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence , Intelligent Systems, Databases, Numerical Analysis , < / Algorithms , Information Processing, Data Processing, Robotics, 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).
  • Admission Requirements : According to the competition announced by the university, completed undergraduate studies in information science, computer or related fields 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 first semester of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester : 2 electives, one of 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 - a master's thesis of 18 ECTS. / li>
  • 1 ECTS credit corresponds to 30 hours of total employment.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

 

-Master of Information Science and Computer Engineering in Intelligent Systems

 

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Modeling and fusing unstructured data IX M 6
2 Advanced Artificial Intelligence and Machine Learning Topics IX M 6
3 Modern intelligent systems IX M 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Selected from Table 4 X E 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 18

 

Table 4 shows the electives from the Intelligent Systems 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 course from the university list of free elective courses.

 

Table 4: Electives

РБ Subject Semester ECTS Fund hours
1 Analysis and design of information systems IX 6 4 + 0 + 0 + 0
2 Mobile web services IX 6 4 + 0 + 0 + 0
3 Algorithms and programming in robotics IX 6 4 + 0 + 0 + 0
4 Collective Intelligence IX 6 4 + 0 + 0 + 0
5 Intelligent user interfaces IX 6 4 + 0 + 0 + 0
6 Introduction to Financial Engineering IX 6 4 + 0 + 0 + 0
7 Ambient intelligence IX 6 4 + 0 + 0 + 0
8 Data-based business decision-making systems IX 6 4 + 0 + 0 + 0
9 Robot systems IX 6 4 + 0 + 0 + 0
10 Content based indexing and search IX 6 4 + 0 + 0 + 0
11 Evolutionary calculation X 6 4 + 0 + 0 + 0
12 Agent-based modeling X 6 4 + 0 + 0 + 0
13 Knowledge-based information systems X 6 4 + 0 + 0 + 0
14 Computational game theory X 6 4 + 0 + 0 + 0
15 Representation and approximate knowledge discovery X 6 4 + 0 + 0 + 0
16 Human-robot interaction X 6 4 + 0 + 0 + 0
17 Computationalparadigms in the Internet of Things X 6 4 + 0 + 0 + 0
18 Mathematical methods in robotics X 6 4 + 0 + 0 + 0
19 Collaborative computer systems X 6 4 + 0 + 0 + 0
20 Sensor-robotic systems X 6 4 + 0 + 0 + 0
21 Intelligent mobile applications X 6 4 + 0 + 0 + 0
22 Multimodal interaction X 6 4 + 0 + 0 + 0
23 Discovering knowledge in big graph data 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 on this   link .

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 .

Табови

д-р Љупчо Антовски

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.

Software Engineering (3+1+1)

Software Engineering (3+1+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.  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 -
 2  Web design VII 6 -
 3

 Elective course 1

VII

6

-
 4

 Elective course 2

VII

6

-
 5

 Elective course 3

VII

6

-
 6  Information systems VIII  6 -
 7  Elective course 4 VIII 6 -
 8  Elective course 5 VIII 6 -
 9  Elective course 6 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

 Distributed computer systems

VII

 6  Computer networks and Databases
 2  Artificial intelligence VII 6 -
 3

 Computer graphics

VII

6

-
 4

 Network programming

VII

6

-
 5

 Web-based systems

VII

6

Network programming
 6  Software project management VII 6  -
 7  Advanced processor architectures  VII 6 -
 8  Embedded computer systems VII 6 Computer architectures 
 9  Network software VII 6 - 
10   Programming project VII 6 - 
11   Visualization VII 6 - 
12   Image processing VIII 6 - 
13   E-commerce and M-commerce VIII 6 - 
14   Public mobile networks VIII 6 Network programming 
15   Geographic information systems VIII 6 - 
16   Virtual reality VIII 6 - 
17  Computer animation VIII 6 - 
18  Computer security and protection VIII 6 -
19  Multimedia systems VIII 6  Distributed computer systems
20  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Software 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.

Табови

Dimitar Trajanov Ph.D.

Smart connected systems (4 + 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. Studies

Table 3: List of Postgraduate Courses

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

 

The following table shows the electives from the study program

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 PS-I-01   Data Analysis from Related Systems X 6
2 PS-I-02   Sensory data fusion IX 6
3 ПС-E-03   Smart mobility X 6
4 PS-I-04   Smart IoT Contracts IX 6
5 PS-I-05   Smart Energy Networks IX 6
6 PS-I-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-E-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 IT-I-04   E-business IX 6
13 IT-I-11  Smart Sensor Networks X 6
14 IT-I-13   Network Virtualization and Cloud Computing X 6
15 IT-I-18   Data Science IX 6
16 EС-E-21   Sensor-robotic systems X 6
17 СE-E-01   Time series analysis and forecasting  IX 6
18 EI-Z-03  Implementation of Geographic Information Systems  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 .