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Computer networks and e-technologies (3+1+1)

Computer networks and e-technologies (3+1+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.  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  Network operating systems 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

-
 7

 Information systems

VIII

6

-
 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 -
 2  Artificial intelligence VII 6 -
 3

 Network programming

VII

6

-
 4

 Web-based systems

VII

6

Network programming
 5

 Advanced processor architectures

VII

6

-
 6  Embedded computer systems VII 6 -
 7  Network software VII 6 -
 8  Introduction to microprocessors VIII 6 -
 9  Wireless computer networks VIII 6 - 
10   Network standards and devices VIII 6 - 
11   Sensor systems VIII 6 - 
12   E-commerce and m-commerce VIII 6 - 
13   Design of embedded computer components VIII 6 - 
14   Public mobile networks VIII 6 - 
15   Computer network management VIII 6 - 
16   Computer security and protection VIII 6 - 
17  Mobile information systems VIII 6 - 
18  Geographic information systems VIII 6 -
19  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Computer networks and e-technologies can be found at this link.

System on chip TEMPUS (3+1+1)

System on chip TEMPUS (3+1+1)

1. General information 
 
The goal of the system on chip master study programme is to provide top quality European education and training for the ICT engineers. The study programme provides deeper and specialized understanding of the embedded systems and the methodologies for system on chip design. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design and management of embedded systems implemented with various state of the art technologies.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: System on chip master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category:Computer hardware andarchitecture 
  • 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 system on chip 
 
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  Embedded computer systems VII 6  
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 
 6

Introduction to microprocessors

VIII

6

 
 7  WAN networks VIII 6  
 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  
 2  Artificial intelligence VII 6  
 3

 Network programming

VII

6

 
 4

 Web-based systems

VII

6

Network programming
 5  Advanced processor architectures VII 6  
 6  Network software VII 6  
 7  Network operating systems VII 6  
 8  Wireless computer networks VIII 6  
 9  Network standards and devices VIII 6  
10  Sensor systems VIII 6  
11  E-commerce and m-commerce VIII 6  
12  Design of embedded computer components VIII 6  
13  Public mobile networks VIII 6  
14  Computer network management VIII 6  
15  Computer security and procection VIII 6  
16  Mobile information systems VIII 6  
17  Geographic information systems VIII 6  
18  Biocybernetics VIII 6  
19  Information systems VIII 6  
 
2.1 Studies
 
Courses for the Master studies for the study programme System on chip TEMPUS can be found at this link.
27/08/2024

Dear Candidates,

To ensure a smooth enrollment process, please be informed that the submission of documents will be conducted according to the schedule based on the first letter of your last name. Kindly adhere to the specified time slots and ensure that you bring all the required documents.

Document Submission Schedule:

August 29, 2024

09:00 - 11:00: Last names from A to V
11:00 - 13:00: Last names from G to J
13:00 - 14:30: Last names from K to O

August 30, 2024

09:00 - 11:00: Last names from P to S
11:00 - 13:00: Last names from T to SH
13:00 - 14:30: For candidates who were unable to attend during the previous time slots
Please be punctual and prepared to facilitate the efficient completion of the enrollment process.

If you have additional questions regarding the enrollment process, you can reach out on our Discord server: https://discord.com/invite/HSDyH55DKH

For the list of required documents, please visit the following page: Required Documents.

1

Statistics for data analysis (3+1+1)

1. General Information

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

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

                Master of Science in Informatics - Statistics for Data Analytics

 

2. Introductory layer

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

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

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

 

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

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

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

 

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

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

 

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

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

 

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

 

 

Table 4: Optional list of offered items

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

 

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

Bioinformatics (4+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 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester : 1 compulsory 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. Studies

Table 3: Course structure in IX and X semesters

РБ Course Semester M / E Credits
1 Introduction to Molecular Biology   IX M 6
2 Basics of Bioinformatics IX M 6
3 Selected from Table 4 IX E 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Advanced Mathematical and Statistical Techniques X M 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 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 Course Semester Credits 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 on this   link .

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 .

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
 
11/07/2022

 

 

 

 

 

Junior Development Program

Apply at: https://www.pelagus-it.com/jobs/junior-development-program/

What it is

It is a well-balanced applications development course that uses a simulation of a real-world project as a means of teaching and learning. It also includes real-world project work, where applicable. It is a paid development program; we offer a monthly compensation during the program completion.

Who we are looking for

Positive, motivated individual with some experience, with a drive to learn, desire for personal progress and long-term cooperation. If you have some of the following skills and knowledge, we look forward to hearing from you:

  • A student of some IT-related faculty course or if you have finished IT-related studies
  • Good conceptual knowledge of object-oriented programming
  • Some knowledge in frontend technologies like JavaScript, JQuery, Bootstrap, Angular, etc.
  • Some knowledge in backend technologies like Java, Spring Boot, PHP, Laravel, .Net, etc.
  • Some knowledge in mobile development, native or Flutter
  • Excellent English knowledge

What we offer

Get yourself an opportunity to work on interesting projects, get new knowledge using the latest tools and technology. Gain different benefits based on your attitude and progress.

  • Guided paid Mentorship program
  • Pleasant agile working environment
  • Hybrid work from home and office
  • Work on international projects with latest tech
  • Competitive salary with rewarding
  • Opportunity for employment after successful completion of the program

 

JAVA Fullstack Developer

Apply at: https://www.pelagus-it.com/jobs/java-fullstack-developer/

Who we are looking for

Positive, motivated individual, with a drive to learn, desire for personal progress and long-term cooperation. If you have some of the following skills and knowledge, we look forward to hearing from you:

  • Good conceptual knowledge of object-oriented programming
  • At least 1 year of work experience in applications development
  • Backend technologies and tools like Java, Spring Boot, Hibernate, etc.
  • Frontend technologies like JavaScript, TypeScript, JQuery, Bootstrap, CSS, Angular, React, VUE.js, D3.js etc.
  • Web services (REST/SOAP)
  • Experience with relational databases such as Oracle, SQL Server, PostgreSQL and MySQL
  • Excellent English knowledge

The following skills are nice to have, but not a requirement:

  • Experience and knowledge in mobile development, native or Flutter
  • Experience and knowledge in .NET, ASP.NET, C #
  • Experience with Scrum methodology and Agile tools
  • BS in Computer Science or related

What we offer

Get yourself an opportunity to work on interesting projects, get new knowledge using the latest tools and technology. Gain different benefits based on your attitude and progress.

  • Pleasant agile working environment
  • Better work-life balance with hybrid work from home and office
  • Work on international projects with latest tech
  • Guided Mentorship program
  • Competitive salary with rewarding
  • Private health insurance
  • Life insurance with investment
1

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