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Computer networks and e-technologies (4+1)

Computer networks and e-technologies (4+1)

1. General information 
 
The goal of the computer networks and e-technologies master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about computer networks and e-technologies. Upon completion of this master study programme the ICT engineers are expected to take up responsible higher level positions in the business and engineering processes of planning, design, managing and monitoring of computer networks. They are also expected to be able to efficiently and effectively employ various state of the art e-technologies and fully understand their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Computer networks and e-technologies master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category: Communication engineering and systems
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of computer networks and e-technologies
 
2. Studies
 
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS

 1   Academian prof. Ljupco Kocarev

 Modern network analysis methods

IX

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

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

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

Intelligent Information Systems (4+1)

Intelligent Information Systems (4+1)

1. General information 
 
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Intelligent systems
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Information systems analysis and design

IX

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

 Mandatory general-education course

IX

6

 4    Elective course IX 6
 5    Elective course

IX

6

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

Content-based Retrieval (4+1)

Content-based Retrieval (4+1)

1. General information
 
Master studies in content-based retrieval (multimedia data engineering) will enable students to understand and develop advanced algorithms and techniques for analyzing, indexing and comparing the contents of different data types including the latest technologies in the areas of databases and computer intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Content-based retrieval master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category:information processing
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4.
Degree: Master of computer science and engineering in the field of content-based retrieval
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Modeling and representing unstructured data

IX

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

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

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

Bioinformatics (4+1)

Bioinformatics (4+1)

1. General information
 
Master studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases, and modeling of events and processes that occur at the level of cell,organ or organism, including the latest technologies in the areas of databases, molecular biology, genetics and machine Intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Bioinformatics master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category: Other
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of bioinformatics 
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   prof. Sasho Panov  Introduction to molecular biology

IX

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

IX

6

 4    Elective course IX  6
 5    Elective course

IX

6

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

Ecoinformatics TEMPUS (4+1) (in Macedonian)

Ecoinformatics TEMPUS (4+1)

1. Општи информации
 
Постдипломските студии по еко-информатика се стремат кон врвно европско образование и обучување на кадри, кои по завршувањето на студиите ќе можат да ги задоволуваат потребите на индустријата.
  • Назив на предлагачот: Универзитет „Св. Кирил и Методиј“ во Скопје, Факултет за информатички науки и компјутерско инженерство - ФИНКИ
  • Назив на студиска програма: Академски студии од втор циклус по Еко-информатика
  • Научно - истражувачко подрачје: техничко - технолошки науки
  • Поле: компјутерска техника и информатика
  • Област: еко-информатика
  • Вредноста на постдипломските студии изнесува 60 ЕКТС кредити
  • Траење на студиите: 2 семестри
  • Една академска година се состои од два семестра во траење од 30 недели (1 семестар = 15 недели)
  • Првиот семестар се состои од наставни предмети, додека вториот се состои од наставни предмети и од завршниот проект, т.е. магистерската тема.
  • Услови за запишување на студиите: завршени додипломски студии на информатика или компјутерски насоки кои носат минимум 240 кредити. За студиските насоки кои носат помалку од 240 кредити, се дополагаат испити понудени во воведувачкиот слој.
  • Воведувачки слој: на студентите кои во текот на студиите стекнале помалку од 240 кредити им се нуди множество диференцијални воведувачки предмети. По нивното успешно реализирање, студентот стекнува право да продолжи со втората година на постдипломските студии.
  • Прв семестар: 3 задолжителни предмети и 2 изборни, од кои еден може да биде од Универзитетска листа.
  • Втор семестар: 1 задолжителен и 1 изборен, кој може да биде од Универзитетската листа (само доколку во првиот семестар предметите се избрани на ниво на Факултет) и завршен проект од 18 ЕКТС.
  • 1 ЕКТС кредит соодветствува на 30 часови вкупен работен ангажман.
  • Бројот на контактните часови е 4.

 

Стекната титула: Магистер по информатички науки и компјутерско инженерство од областа на еко-информатика
 
2. Студии
Табела 1: Листа на предметите на постдипломски студии 
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. Д-р Коста Митрески

 Концепти во Еко-информатиката

IX

6
 2  проф. Д-р Андреа Кулаков  Мониторинг и обработка на податоци во инженерството на животната средина IX 6
 3  проф. Д-р Коста Митрески

 Имплементрација на географски информациони системи

IX

6

 4  

 Изборен предмет

IX

6

 5  

 Изборен предмет

IX

6

 6  Д-р Андреја Наумоски, проф. Д-р Коста Митрески  Откривање на знаење од податоци за животната средина X 6
 7    Изборен предмет X 6
 8    Завршен проект - Магистерски труд X 18
 

System on chip TEMPUS (4+1)

System on chip TEMPUS (4+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. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assist. prof. Igor Mishkovski

 System on chip design techniques

IX

6
 2  assoc. prof. Vladimir Trajkovikj  Mobile and embedded systems IX 6
 3     Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assoc. prof. Dimitar Trajanov  Developing software for mobile and embedded systems X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX 6
 2    Project management IX 6
 
 

Statistics and Actuarial Mathematics (4+1) (in Macedonian)

1. Општи информации
 
Веројатноста и статистиката го поврзуваат математичкиот свет на теориски модели со емпирискиот свет на експериментирање и собирање на податоци. Статистичкото моделирање има огромна примена во сите гранки на индустријата и науката, како на пример комуникациски мрежи, финансиско работење, осигурување, истражувања на пазарот, генетски истражување, медицински истражувања и други. Од друга страна актиуарството како професија се повеќе се наметнува како потреба на пазарот на трудот. Образованието од областа на актуарството се надградува на солидни познавања од областа на стохастиката, финансиската и актуарската математика. 

Студентите по завшувањето ќе можат успешно да ги користат веројатносно статистичките методи за моделирање на реалните проблеми и да се вклучат во систем на донесување на правилни одлуки базирани на информаците стекнати од расположивите податоци. Образованието од областа на актуарска математика дополнително ќе овозможи вклучување на завршените студенти во моделирањата во областа на осигурувањето.

  • Назив на предлагачот: Универзитет „Св. Кирил и Методиј“ во Скопје, Факултет за информатички науки и компјутерско инженерство - ФИНКИ
  • Назив на студиска програма: Статистика и актуарска математика 
  • Научно - истражувачко подрачје: природно - математичко
  • Поле: математика и статистика
  • Област: математичка статистика и операциони истражувања, применета математика и математичко моделирање и актуарство
  • Вредноста на постдипломските студии изнесува 60 ЕКТС кредити
  • Траење на студиите: 2 семестри
  • Една академска година се состои од два семестра во траење од 30 недели (1 семестар = 15 недели)
  • Услови за запишување на студиите: студиите им се првенствено наменети на студентите кои стекнале 240 кредити или завршиле четиригодишни академски студии од областа на природно – математичките, технолошко – техничките, економските и медицинско-биолошки науки.
  • Воведувачки слој: на студентите кои во текот на студиите стекнале помалку од 240 кредити им се нуди множество диференцијални воведувачки предмети. По нивното успешно реализирање, студентот стекнува право да продолжи со втората година на постдипломските студии.
  • Прв семестар: 2 задолжителни предмети и 2 изборни предмети од областа.
  • Втор семестар: 1 задолжителен предмет од областа, 1 изборен предмет од областа и 1 изборен предмет кој може да биде од Универзитетската листа и завршен проект од 18 ЕКТС.
  • 1 ЕКТС кредит соодветствува на 30 часови вкупен работен ангажман.
  • Бројот на контактните часови е 4.
 
Стекната титула: Магистер по Статистика и актуарска математика – модул статистика и примени, или Магистер по Статистика и актуарска математика – модул актуарска математика
 
2. Студии
 
Табела 1: Листа на предметите на постдипломски студии за модул Статистика и примени
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. д-р Марија Михова, проф. д-р Жанета Попеска

 Статистички компјутерски апликации

IX

6
 2  проф. д-р Жанета Попеска, проф. д-р Марија Михова  Повеќе-димензионална анализа IX 6
 3  

 Изборен предмет од областа

IX

6

 4  

 Изборен предмет од областа

IX

6

 5  проф. д-р Верица Бакева

 Стохастичко моделирање

X

6

 6    Изборен предмет од областа X 6
 7    Изборен предмет од универзитетска листа X 6
 8    Магистерска тема  X 6
 
Табела 2: Листа на предметите на постдипломски студии за модул Актуарска математика
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. д-р Марија Михова, проф. д-р Жанета Попеска

 Статистички компјутерски апликации

IX

6
 2  проф. д-р Марија Михова  Финансиска математика IX 6
 3  проф. д-р Жанета Попеска, проф. д-р Марија Михова

 Актуарска математика

IX

6

 4  

 Изборен предмет од областа

IX

6

 5  проф. д-р Верица Бакева

 Стохастичко моделирање

X

6

 6    Изборен предмет од областа X 6
 7    Изборен предмет од универзитетска листа X 6
 8    Магистерска тема  X 6

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.

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

Coding and Cryptography (3+1+1)

Coding and Cryptography (3+1+1)

1. General information
The goal of the coding and cryptography master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about cryptography and coding theory. Upon completion of this master study programme, the ICT engineers will be able to meet the industry needs.
 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Coding and Cryptography master studies
  • Scientific-research field: Natural Science and Mathematics
  • Category: Computer Science
  • Sub-category: Computer security, Cryptography and Coding Theory
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of coding and cryptography. 
 
2.1  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
 2  Algorithms VII 6 Object oriented and visual programming
 3  Elective course 1 VII  6  
 4  Elective course 2 VII  6  
 5  Elective course from University list of available courses VII  6  
 6

 Discreet structures 3

VIII

6

Discreet structures 1

 7

 Security and cryptography

VIII

6

Discreet structures 3

 8

 Wireless networks

VIII

6

Data and computer communications

 9  Theory of information VIII  6 Probability and statistics or Statistics
10  Elective course 3 VIII 6  
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Computer networks design

VII

6  Data and computer communications
 2  Databases 2 VII 6 Databases
 3

 Advanced computer systems

VII

6

Microprocessors and microcontrollers

 4

 Calculus 3

VII

6

Calculus 2

 5

 Parallel and distributive processing

VIII

6

Operating systems

 6 Network and distributed operating systems VIII  6  Data structures and Operating systems
 
2.2 Studies
 
Courses for the Master studies for the study programme Coding and cryptography can be found at this link.