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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
 

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
 
 
31/07/2025

Open Call for Deep Tech Startups - Join the TECHSIGHT Support Program!

 

Are you a startup developing a science-based solution that could change the world?
Do you need access to mentors, investors, and a European support network?

 

Apply to participate in the first phase of the TECHSIGHT Coordination Mechanism and become part of a European initiative that supports the growth and internationalization of deep tech startups!

What does the TECHSIGHT support program offer?

TECHSIGT has developed a coordination mechanism that connects deep tech startups with key actors in the innovation ecosystem, including universities, investors, research institutions, and public bodies, across multiple European countries.

 

The program is part of the TECHSIGHT project (2025–2027) funded by EIT Higher Education Initiative, Horizon Europe program, which aims to position European universities as global leaders in deep tech innovation.

 

Through four interconnected support pillars, startups gain access to:

1.Experts and knowledge

Tailored support through direct consultations and curated resources, designed to help startups effectively tackle challenges and build a strong foundation for further growth.

2.Collaborative learning

Online and offline workshops, masterclasses, and training modules delivered in collaboration with universities and industry.

3.Targeted information and opportunities

Curated updates on funding calls, incubators, competitions, events, and accelerator programs across Europe – tailored to the profile and needs of each startup.

4.Investment readiness and market integration

Support in developing investor materials, pitch preparation, connections with VC funds, and pilot collaborations with industry and public sector partners.

 

 

When and how?

 

Note: While Phase 1 is envisioned as an entry point, all startups will be able to remain a part of the TECHSIGHT Coordination Mechanism after December 2025. Phase two will offer various ongoing activities, valuable resources on our TECHSIGHT CollabSphere platform, and future open calls.

Who are we looking for?

Deep tech startups based in the European Union.

Eligible applicants should:

  • Have developed and validated solutions (TRL 4–6)
  • Be actively working on both their technology and business model
  • Be motivated to learn, grow, and actively engage in the program
  • Not be fully market-ready, but have a clear vision and a committed team

How to apply?

Application deadline: August 25, 2025
To apply, please fill out the form and provide the following:

 

  • A pitch deck or one-pager
  • A brief description of your solution and team
  • TRL level and goals for participating in the program

Apply here: [link]

Be part of the European deep tech community!

Don’t miss the chance to increase your visibility, accelerate your development, and gain direct support from the European deep tech ecosystem!

For any additional questions, contact us at: techsight@cpn.rs

About the TECHSIGHT Project

The coordination mechanism program is implemented as part of the TECHSIGHT project, funded through the EIT HEI Initiative, under the EIT Culture & Creativity thematic framework.

 

TECHSIGHT aims to empower European higher education institutions to become global leaders in developing sustainable and inclusive deep tech innovations, through foresight, capacity building, and the creation of local and international innovation districts.

The consortium brings together 7 organizations from across Europe, supported by a network of over 20 associated partners from science, industry, and the public sector:

 

  • Yıldız Technical University (Türkiye) – Project Coordinator
  • Ss. Cyril and Methodius University (North Macedonia)
  • Hochschule Magdeburg-Stendal (Germany)
  • Daugavpils University (Latvia)
  • Instituto Politécnico da Guarda (Portugal)
  • The New Way (Denmark)
  • Center for the Promotion of Science (Serbia)

 

1

Табови

д-р Димитар Трајанов

Магистерски студии

Body: 

Master's Studies

In accordance with the Competition for Enrolling Students in Master's Study Programs at the University "Ss. Cyril and Methodius," the application period for the first enrollment session at the Faculty of Computer Science and Engineering will be held from October 1 to October 11, 2024. The application period for the second enrollment session at the Faculty of Computer Science and Engineering will be held from February 3 to February 14, 2025.

For more efficient processing of enrollment documents, the documents in paper form should be submitted at the counter in the Student Service - FCSE on the specified dates from 09:00 to 12:00.

The documents that interested candidates need to submit when applying for enrollment in master's studies at FCSE are listed in the Required Documents section.

NOTE: Enrollment in master's studies must first be done electronically, on the new student enrollment system at UKIM.

Interested candidates can choose to enroll in one of the following study programs:
 
The distribution of available places by study programs, as well as the total tuition fee for each of the study programs, can be viewed in the Quotas section.
 
 
The documents that interested candidates need to submit when applying for enrollment in master's studies at FCSE are listed in the Required Documents section.
 
 
The conditions that interested candidates must meet to enroll in master's studies at FCSE are listed in the Conditions section.

Табови

Smilka Janeska-Sarkanjac Ph.D.

Табови

Vangel Ajanovski Ph.D.

13/08/2021

Преку програмата A1 WayUp во потрага сме по 8 дипломци кои дипломирале во последните 12 месеци или кои годинава ќе ги завршат своите студии, со познавање од областа на Data science и Data analytics кои во А1 Македонија ќе имаат можност да се стекнат со нови знаења, практична работа и искуство.

Учесниците ќе имаат можност веднаш да ја започнат својата кариера преку работа на реални проекти поврзани со обработка на Data заедно со нашите искусни тимови од кои ќе добијат целосна поддршка и едукација за да ги усовршат своите знаења.

Периодот за аплицирање трае од 12 август до 3 септември 2021 година, а сите заинтересирани може да испратат кратка биографија и преку формулар да се пријават за еден од осумте проекти предвидени во оваа програма. Процесот на селекција ќе се изврши согласно потребните компетенции и вештини на кандидатите, дополнителна евалуација на компетенции и тестови за лични карактеристики, а селектираните кандидати ќе бидат повикани на финално интервју за детално запознавање со сите услови за работа.

Програмата е платена и трае една година, со полно работно време од 40 часа, а можат да се пријават дипломци кои дипломирале во последните 12 месеци или кои годинава ќе ги завршат своите студии. Кандидатите кои ќе работат како дел од тимот за Data science потребно е да имаат основно познавање на концептите за машинско учење, SQL и Python, додека делот Data analytics е наменет за кандидатите кои уживаат да работат со бројки, организирање и толкување статистички податоци и кои сакаат да работат на проекти поврзани со финансии, маркетинг автоматизација, логистика и набавки и секако анализа на податоци за корисничко искуство.

Целта на A1 Way up е да им пружи на младите богато работно искуство исполнето со предизвици во една од најактуелните теми на денешницата – DATA. Веруваме дека оваа програма би била интересна за Вашите студенти, па затоа би сакале да ве замолиме да ги известите преку вашите канали за комуникација и да ги мотивирате да аплицираат за истата.

 

Сите заинтересирани кандидати може да се пројават на следниот линк и да започнат со A1 Way Up.

1
27/02/2023

Ни претставува особена чест и задоволство да ве поканиме на гостинското предавање на проф. д-р Јасминка Матевска од HS-Bremen на тема

Software Systems Engineering for Space Missions

кое ќе се одржи на 02.03.2023 (четврток) со почеток од 14:00 часот во Амфитеатарот на ФИНКИ.

Abstract

Modern Space Systems are highly autonomous systems, thus can be considered "flying computers". Software is used to manage the spacecraft by controlling and commanding almost each of its subsystems. Depending on the mission, software performs the management functions autonomously or by providing command and control interfaces for ground control or crew. Complex ground simulation and testing facilities are used for engineering, testing and qualification of the spacecraft. In order to plan, engineer and operate a space mission, ground stations and mission control systems including complex distributed software and communication systems are used. Huge amount of data is transferred, processed and stored during preparation and operation of each space mission. The necessary system of systems shall be designed starting with the mission definition and considering the overall mission requirements. Defining the requirements, designing, testing and implementing of the onboard and ground software systems is a co-engineering activity between different system engineering disciplines and requires intensive collaboration and understanding of the system design, engineering process and the concept of operations.

This talk will give an insight into the practical aspects of software systems engineering for enabling and supporting space missions.

Bio

Prof. Dr.-Ing. Jasminka Matevska is a professor at the City University of Applied Sciences, in Bremen, Germany. Her research interests are toward software and systems engineering particularly in the area of space systems. Jasminka Matevska has graduated at the Faculty of Electrical Engineering, Ss. Cyril and Methodius University is Skopje and continued her education in Germany. Prior to the professor position, Jasminka Matevska was also teaching and research assistant at the University of Oldenburg and University of Applied Science Gelsenkirchen. In her career she has also worked on number of projects among which the Columbus Project (COL) of the International Space Station (ISS) Program (Joint Station LAN (JSL), Columbus Multi-Purpose Computer and Communication Service (MPCC), Crew User Interface System Enhancement (CRUISE), Operations Architect of the European Data Relay Satellite (EDRS)-C Project.

https://www.hs-bremen.de/person/matevska/

0
22/09/2023
 
 
 
 
 
 
Согласно Конкурсот за запишување студенти на втор циклус студии на студиските програми на Универзитетот „Св. Кирил и Методиј“ во учебната 2023/24 година, Факултетот за информатички науки и компјутерско инженерство во наредната учебна година ќе запише вкупно 760 студенти на магистерски студии.
 
Повеќе информации за уписот на нови студенти може да се најдат на следниот линк.
 
За студентите кои во учебната 2023/2024 година ќе се запишат на магистерски студии на ФИНКИ, постојат вкупно 19 (деветнаесет) студиски програми. Бројот на студенти кои ќе можат да се запишат на ФИНКИ на секоја од студиските програми, е даден во продолжение.
 

Студиска програма

Број на

студенти

Вкупен износ на школарина (ЕУР)

 3+2

4+1 

Едногодишни магистерски студии

 

 

 

Data science in computer science and engineering

50

 

1800
Безбедност, криптографија и кодирање (1 годишни) / Security, Cryptography and Coding (1 years)

30/50

 

1800

Биоинформатика (1 годишни)

30

 

1800

Едукација со ИКТ (1 годишни)

30

 

1800

Еко-информатика (1 годишни)

30

 

1800

Интелигентни системи (1 годишни)

30

 

1800
Интернет технологии (1 годишни) / Internet Technologies and cyber security (1 years)

50/50

 

1800

Компјутерски науки (1 годишни)

30

 

1800

Пресметување во облак (1 годишни)

30   1800

Софтвер за вградливи системи (1 годишни)

30

 

1800 

Софтверско инженерство (1 годишни)

50

 

1800

Статистика и аналитика на податоци (1 годишни)

30

 

1800
Управување во информатички технологии (1 годишни) / IT management (1 years)

50/50

 

 

Двегодишни магистерски студии

    

 
Безбедност, криптографија и кодирање (2 годишни) / Security, Cryptography and Coding (2 years)

10/30

2500 

 

Биоинформатика (2 годишни)

20

2500 

 

Пресметување во облак (2 годишни)

10

2500 

 

Статистика и аналитика на податоци (2 годишни)

10

2500 

 

Управување во информатички технологии (2 годишни)

30

2500 

 

Софтверско инженерство (2 годишни)

30

2500 

 
 
* Запишувањето студенти ќе се врши по добивање решение за акредитација и решение за почеток со работа  
  Во вкупниот износ е вклучена и одбраната на магистерскиот труд
1