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Табови

д-р Ана Мадевска Богданова

Табови

д-р Невена Ацковска

Табови

Ivan Chorbev Ph.D.

Табови

Ljupcho Antovski Ph.D.

Internet Technologies (4+1)

1. General Information

 

Postgraduate studies in Internet technologies aim to provide quality and top European education and training of ICT engineers with deep knowledge of Internet networks, technologies and security. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, management and security of Internet networks and work with various types of the latest technologies, including their business aspects.

  • Name of the proposer: University "Ss. Cyril and Methodius" University in Skopje, Faculty Computer Scienses and Engineering - FCSE
  • Name of the study program: academic second cycle studies in Internet technologies
  • 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 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 compulsory 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 Internet Technologies

 

2. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Course Semester M / E ECTS
1 IT-Z-01 Network Analysis IX M 6
2 IT-Z-02 Advanced mobile and web applications IX M 6
3 IT-Z-03 Internet Security and Privacy IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 IT-Z-04 DevOps for networking  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 courses can be selected from the courses offered at the other postgraduate studies at the Faculty of Computer Scienses and Engineering.

 

Table 4: Electives

РБ New code /  Course Semester ECTS
1 IT-I-01   5G communication networks IX 6
2 IT-I-02   Parallel processing IX 6
3 IT-I-03   ICT Management  IX 6
4 IT-I-04   E-business IX 6
5 IT-I-05   Data visualization IX 6
6 IT-I-06   Network penetration testing  IX 6
7 EI-I-07   Client server programming paradigms X 6
8 IT-I-08   Digital Marketing  X 6
9 IT-I-09   Advanced Distributed and Parallel Systems IX 6
10 IT-I-10   Internet Infrastructure Management  IX 6
11 IT-I-11   Smart Sensor Networks  X 6
12 IT-I-12   Architectures and services for distribution of video contents X 6
13 IT-I-13   Network Virtualization and Cloud Computing X 6
14 IT-I-14   Network Optimization IX 6
15 IT-I-15   Advanced Topics in Computer Architecture X 6
16 IT-I-16   Security incident and response management  IX 6
17 IT-I-17   Cyber threat intelligence X 6
18 IT-I-18   Data Science IX 6
19 IS-I-04   Mobile web services IX 6
20 IS-I-17   Collaborative computer systems X 6
21 PS-I-08   Linked Open Data X 6
22 PS-I-05   Smart grid IX 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 .

Табови

д-р Љупчо Антовски

We’re excited to join forces with FINKI to launch an incredible opportunity for Front-End Development enthusiasts. If you're passionate about coding, innovation, and crafting outstanding user experiences, this is your chance to kickstart your career in a dynamic and supportive environment.

This is a three-month paid internship with the possibility of extending the duration to six months. The internship is an excellent opportunity available to 3rd and 4th-year students to gain experience in front-end development while working alongside experienced professionals.

Overview of the role:

As an Intern Frontend Developer, you will help in building interactive web applications and various shared web components using Angular. You will work in a collaborative and supportive environment, contributing to our Sportsbook product by developing features across web applications. Our team operates in an Agile environment, and you will collaborate closely with our product, backend, and quality engineering teams on a daily basis.

What you’ll do:

  • Support the development of new features for our Sportsbook.
  • Assist in performing root cause analysis, debugging, and troubleshooting.
  • Personally, or in pairs, carry out programming tasks to solve a range of exciting problems.
  • Assist the team in planning and delivering features.

What you’ll bring:

  • Foundational knowledge in Web Development.
  • Passion for technology and care about code quality and best practices.
  • A strong appetite for continuous learning, staying ahead of the latest developments in web technologies.
  • Basic version control knowledge.
  • Adaptability.
  • Problem-solving skills.
  • Attention to detail.
  • Team spirit.

What you’ll gain from the internship:

  • Experience in developing and improving basic features.
  • Knowledge of best practices in Front-End development.
  • Skills in code reviews and testing.
  • Familiarity with Front-End tools and architecture.
  • Experience in delivering a Capstone project or feature.
  • Contribution to documentation.
  • Team collaboration.

How to Apply

The internship vacancy is closed and we don't accept new applications. 

About Singular

Singular is an international iGaming software provider headquartered in Malta, with offices in North Macedonia and Georgia. We provide our platform solutions to some of the most innovative and well-known brands in the sports betting and gaming industry.

As of 2021, we're part of the International division of Flutter Entertainment, the world’s leading online sports betting and iGaming operator. Together, we create the future of entertainment – and you can join us too.

Why choose us

At Singular, we are committed to supporting the next generation of talent. Through our internship program, students will have the opportunity to work flexible hours while following a hybrid working model. We believe in providing a collaborative environment that fosters growth and self-development, ensuring our interns gain valuable experience and build a strong foundation for their future careers.

Equal opportunities

As a brand of Flutter International, we are committed to creating an inclusive environment where our people can be their authentic selves and thrive. We embrace and celebrate diversity, respecting all our uniqueness and differences.

We welcome you to let us know whether you have any accessibility needs. All you need to do is email us at jobs@singular.uk. Your journey with us is focused on ensuring you have what you need to be your best self.

Learn more about the works we are doing on Inclusion and belonging here: Flutter International Inclusion Page.

The Group

Singular is a proud member of the Flutter Entertainment family, a global leader in sports betting, iGaming, and entertainment. We're not just another company; we're listed on both the prestigious FTSE 100 index on the London Stock Exchange and the New York Stock Exchange (NYSE).

What sets us apart is our world-class brands, cutting-edge products, and our international division, which includes operations in over 100 global markets and offers sports betting, casino, poker, rummy, and lottery, mainly online.

What truly defines us is our commitment to ensuring that the excitement of gaming and entertainment is experienced in a responsible and sustainable way. Our remarkable team of over 8,000 colleagues drives this vision, spread across 28 offices worldwide.

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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.

Bioinformatics (3+1+1)

Bioinformatics (3+1+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. 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  Linear transforms VII 6 Mathematics 2 
 2

 Probability and statistics

VII

6 Discrete mathematics
 3  Artificial intelligence VII 6 -
 4  Elective course 1 VII
 5  Elective course 2 VII 6
 6

 WAN networks

VIII

6

Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 3 VIII 6 -
 9  Elective course 4 VIII 6 -
 10  Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

6 Mathematics 2
 2  Computer graphics VII 6 Object-oriented programming
 3

 Introduction to robotics

VII

6

-

 4

 Web-based systems

VII

6

Network programming

 5  Web design VII 6
 6  Visualization VII 6 Object-oriented programming 
 7  Geographic information systems VIII 6 Databases 
 8  Virtual reality VIII 6 Human computer interaction 
 9  Mobile information systems VIII 6 Databases, Distributed computer systems
10  Computer animation VIII 6 Computer graphics
11  Intelligent information systems VIII 6 Databases 
12  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Bioinformatics can be found at this link.

Табови

д-р Марија Михова