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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
 

Computer Sciences (3+1+1)

Computer Sciences (3+1+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.  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 Calculus 2 (Mathematics 2)
 2  Calculus 3 VII 6 Calculus 2
 3

 Databases 2

VII

6

Databases

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

 Discreet structures 3

VIII

6

Discreet strucutres 1

 7

 Information systems

VIII

6

Software engineering, Databases

 8  Algorithms VIII  6 Object oriented and visual programming
 9  Elective course 3 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

 Modeling and simulation with visualization

VII

6 Object oriented and visual programming, Probability and statistics or Statistics
 2  Formal languages and automata VII 6 Discreet structures 2
 3

 Operations research

VIII

6

Probability and statistics or Statistics

 4

 Analyses and logical design of IS

VIII

6

Information sytems

 5

 Compilers

VIII

6

Discreet structures 3, Microprocessors and microcontrollers

 6  Discreet structures 2 VIII  6  Discreet structures 1
 7  Software engineering VIII 6  Object oriented and visual programming
 
2.2 Studies
 
Courses for the Master studies for the study programme Computer sciences can be found at this link

Computer Science (4+1)

1. General Information

 

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

 

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

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

 

2. Studies

Table 3: List of Postgraduate Courses

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

 

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

 

Table 4: Electives

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

 

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

Computer Science (3+1+1)

1. General Information

 

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

 

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

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

 

2. Introductory layer

 

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

Table 1: List of introductory layer items

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

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

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

 

Table 2:   List of items

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

 

 

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

 

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

 

3. Studies

Tableand 3: List of Postgraduate Courses

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

 

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

 

Table 4: Electives

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

 

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

Во четврток (27.10.2022) во Амфитеатарот на ФИНКИ со почеток во 9:15 часот ќе се одржи покането предавање со наслов "Data Science for Sustainable Finance" од проф. Ирена Воденска, Професор и директор на програма за финансии при Boston University.

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Во организација на групата Data Science Macedonia и со поддршка на одделите на македонската ИЕЕЕ секција за теорија на информации и за компјутери, како и Факултетот за Електротехника и информациски технологии (ФЕИТ) и Факултетот за информатички науки и компјутерско инженерство (ФИНКИ), на 04.04.2019 година (четврток) со почеток во 18:00 часот во INNOFEIT (анексот на ФЕИТ), ќе се одржи покането предавање на тема:

,,Understanding Health and Nutrition through Data Science“

Предавач: Tome Eftimov, PhD, Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia, Postdoctoral researcher at Stanford University in USA

Апстрактот и биографијата на предавачот се дадени во прилог.

 

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We are very excited to start the new season of Data Science Meetup.

On Thursday, from 18:00 to 19:30 at the Amphitheatre of the Faculty of Technology and Metallurgy we will have our 8th MeetUp where MSc.

Martina Naumovska will give an interesting talk about "Understanding the influence of Data Science in insurance companies"

More information on this link

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FINKI is a partner in the project NATO mutli-year science for pease project NATO SPS project G5825 – “Smart Patch for Life Support Systems  - SP4LIFE”. The project has started on 10th of March 2021 and it will end on 10th  of March 2024. Coordinator for FINKI is prof. Ana Madevska Bogdanova.

Web of the project: www.um.sav.sk/SP4LIFE 

The first project Workshop will be organized 27-29 September, 2021 (ICT Innovations conference) http://ictinnovations.org/workshops

The objectives of the project are to:                         

  • develop wearable monitoring platforms with:
    • a.) sensitive respiration, heartbeat and auditory sensors based on graphene,
    • b.) ECG, SpO2  and body temperature sensor modules,
  • create a biocompatible wearable body-sensing interface hosting electronics, alarm, low-power transmission for light-weight, portable applications
  • create a software that will generate alert in real time, at the moment of critical physiological parameter changes or changes of the triage medical status according to START algorithm,
  • use Artificial Intelligence to create unsupervised software capable of real-time diagnostics and rapid countermeasures’ selection,
  • analyze existing (AS-IS) processes and consider their re-design (TO-BE processes) in organization of patient management on the site of accident with respect to wearable monitoring technology being developed,
  • create a network of young scientists training in soft and hard skills in the wearable electronics for biomedical applications.

Partners of the SP4LIFE project:

  • Institute of Measurement Science, Slovak Academy of Sciences (IMS), Slovakia (NPD)
  • Institute for Chemistry, Technology and Metallurgy, Centre for Microelectronic Technologies (ICTM), Serbia (PPD) 
  • Faculty of Computer Sciences and Engineering, Sts Cyril and Methodius (FCSE), N. Macedonia
  • Universitè libre de Bruxelles (ULB), Belgium
  • Faculty of Medicine in Bratislava, Comenius University in Bratislava (FM), Slovakia

The Kick-off meeting was held on-line due to the Covid pandemic, on 10.03.2021.

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Во организација на групата Data Science Macedonia и одделот на македонската ИЕЕЕ секција за компјутери, како и Факултетот за информатички науки и компјутерско инженерство (ФИНКИ) и Факултетот за Електротехника и информациски технологии (ФЕИТ), на 17.12.2019 година (вторник) со почеток во 18:00 часот во Амфитеатарот на Технолошко-металуршки факултет, ќе се одржи покането предавање на тема:

“We are on a journey to be the most valuable pizza brand on this planet. That’s why we need Data Science”

Предавачи:
Игор Димовски, PhD, Slice Macedonia
Kлиментина Раткова, MsC, Slice Macedonia

Мала закуска и пијалоци ќе бидат обезбедени од страна на компанијата Slice.

 

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Date: Wednesday, April 9, 2025 
Time: 12:30-13:30 
Venue: FINKI, Big Amphitheatre 

Activity as a part of cooperation between Ss. Cyril and Methodius University in Skopje and UN International Organization for Migration (IOM) for engagement of Macedonian Academic Scientific Diaspora. 

Topics Covered:

  • Mapping the Scopus & Web of Science rankings. 
  • Identifying Q1/Q2 journals for publication. 
  • Writing for high-impact journals (structure, quality, citations).
  • Handling peer review & revisions successfully. 

Who Should Attend? Professors, teaching assistants, researchers, and PhD students looking to enhance their publication record.

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