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Intelligent systems (4+1)

1. General Information

 

Postgraduate studies in intelligent systems aim to provide top scientific and research staff to meet the growing demand for highly qualified engineers capable of overcoming the most challenging development, research and process problems. Students in this study program gain knowledge that provides them with great professional flexibility and a wide selection of jobs wherever there is a need to apply problem-solving skills, as well as critical thinking skills, which they will use to solve complex problems. which are in the domain of intelligent systems. Students enrolling and graduating in this field are highly sought after in companies and research centers. In addition to being trained to participate in the development, implementation and maintenance of a variety of applications in the field of intelligent systems, including the business domain, they will have the necessary basis to pursue doctoral studies, as well as to participate in interdisciplinary science projects. and technology.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Course Title: Second Cycle Academic Studies in Intelligent Systems
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence , Intelligent Systems, Databases, Numerical Analysis , < / Algorithms , Information Processing, Data Processing, Robotics, Other .
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits.
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Admission Requirements : According to the competition announced by the university, completed undergraduate studies in information science, computer or related fields 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 first semester of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester : 2 electives, one of 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 - a master's thesis of 18 ECTS. / li>
  • 1 ECTS credit corresponds to 30 hours of total employment.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

 

-Master of Information Science and Computer Engineering in Intelligent Systems

 

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Modeling and fusing unstructured data IX M 6
2 Advanced Artificial Intelligence and Machine Learning Topics IX M 6
3 Modern intelligent systems IX M 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Selected from Table 4 X E 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 18

 

Table 4 shows the electives from the Intelligent Systems study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective course from the university list of free elective courses.

 

Table 4: Electives

РБ Subject Semester ECTS Fund hours
1 Analysis and design of information systems IX 6 4 + 0 + 0 + 0
2 Mobile web services IX 6 4 + 0 + 0 + 0
3 Algorithms and programming in robotics IX 6 4 + 0 + 0 + 0
4 Collective Intelligence IX 6 4 + 0 + 0 + 0
5 Intelligent user interfaces IX 6 4 + 0 + 0 + 0
6 Introduction to Financial Engineering IX 6 4 + 0 + 0 + 0
7 Ambient intelligence IX 6 4 + 0 + 0 + 0
8 Data-based business decision-making systems IX 6 4 + 0 + 0 + 0
9 Robot systems IX 6 4 + 0 + 0 + 0
10 Content based indexing and search IX 6 4 + 0 + 0 + 0
11 Evolutionary calculation X 6 4 + 0 + 0 + 0
12 Agent-based modeling X 6 4 + 0 + 0 + 0
13 Knowledge-based information systems X 6 4 + 0 + 0 + 0
14 Computational game theory X 6 4 + 0 + 0 + 0
15 Representation and approximate knowledge discovery X 6 4 + 0 + 0 + 0
16 Human-robot interaction X 6 4 + 0 + 0 + 0
17 Computationalparadigms in the Internet of Things X 6 4 + 0 + 0 + 0
18 Mathematical methods in robotics X 6 4 + 0 + 0 + 0
19 Collaborative computer systems X 6 4 + 0 + 0 + 0
20 Sensor-robotic systems X 6 4 + 0 + 0 + 0
21 Intelligent mobile applications X 6 4 + 0 + 0 + 0
22 Multimodal interaction X 6 4 + 0 + 0 + 0
23 Discovering knowledge in big graph data X 6 4 + 0 + 0 + 0

 

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

 

 

 

 

 

Junior Development Program

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

What it is

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

Who we are looking for

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

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

What we offer

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

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

 

JAVA Fullstack Developer

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

Who we are looking for

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

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

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

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

What we offer

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

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

New opportunities for students of all programmes - Business Accelerator UKIM (BAU) under the initiative of the European Institute of Innovation and Technology (EIT) announces open applications for the upcoming startup support/acceleration programmes.

EIT Jumpstarter offers access to the largest innovation network of EIT Communities for young entrepreneurs with innovative ideas who want to jumpstart their businesses.

If you are part of a scientific project team, innovator, scientist, PhD student or master’s student with a product or service idea to improve the existing markets in healthcare, agri-food, raw materials, energy, urban mobility or manufacturing sectors then EIT Jumpstarter is ideal for you. Through the programme, you will get the opportunity to work on bringing your idea out of the lab to the market.

During the 8-month duration, you will find and fit the best business model for your innovative idea. The courses build on the lean start-up methodology from Silicon Valley translated to the European Environment. To refine your deal you will learn market segmentation, customer value proposition, financials, investment basics, and legal basics.

You will receive travel and accommodation support during the programme, and the best teams in each category will have the chance to win a €10,000 money prize.

With the contribution of best-in-class experts, a creative community, and unique know-how, we aim to support idea-holders in turning their ideas into business. We help innovators and entrepreneurs build a viable business model around their innovative product or service idea and validate it. If their business idea is sustainable, we encourage them to register their company.

The deadline for submitting business ideas is April 26th on this LINK.

You can read up more on the programme here, or register for the webinar on April 9th here.

The second edition of the Founders ABCDeep Tech Startup Support Program (2024) focuses on improving the business model and capacity of participating startups, their investment readiness/access to finance potential, and their awareness of the opportunities offered by the Pan-European innovation networks of the EIT KICs.

The Founders ABCDeep Tech Startup Support Program is looking for innovative and unique solutions from deep tech-related areas, such as Advanced Computing, Advanced Manufacturing and Materials, Aerospace, Automotive and Remote Sensing, Artificial Intelligence and Machine Learning, Big Data, Biotechnology and Life Sciences, Communications and Networks, Cybersecurity, Electronics and Photonics, Internet of Things, Semantic Web, Robotics, Semiconductors, Clean Technologies, Virtual Reality, Augmented Reality, Web 3.0, Blockchain and other.

The maturity of technology should be on at least TRL3.

Participation requirements:

  • Only startups from the WB economies (Montenegro, North Macedonia, Serbia, Albania, Bosnia and Herzegovina and Kosovo*) and Hungary can apply, which are legally registered entities established after 2015 (or to be registered at the duration of the program).
  • Startups wishing to apply must submit their application online on the following LINK, by April 19th 2024 at 11:59 pm CET.

The online program duration will be from 7 May 2024 - 5 July 2024.

The second edition of the program will offer an award of up to EUR 10,000 to the best-performing startup(s).

About 10 applicants will be selected to take part in the online startup support program. For more information about this programme, you can read more about the details here, or contact us at accelerator@ukim.edu.mk

1

Desktop Engineer (Inbox)

Location: Skopje office (70%)

Apply at: https://job-boards.eu.greenhouse.io/proton/jobs/4634890101

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The Team

The Inbox Business Unit drives the development of Proton Mail (our flagship product line) and Proton Calendar. We are a cross-functional team of (ballpark figure) 60 engineers, product managers, designers and data analysts. We are committed to constantly push the boundaries of what we can achieve. It’s not always an easy journey, but it’s one that offers the chance to create meaningful impact and drive lasting change.

The Inbox Desktop team is responsible for developing desktop clients of Inbox i.e. Proton Mail Desktop App, Proton Mail Bridge, and the Export tool. Because most of these applications are premium offerings of Proton, we put a very high emphasis on product and engineering quality. We are in the process of rebuilding our client applications on a new, innovative technology stack. As part of this technological transformation, we are also restructuring our team, and we are looking for a smart and ambitious Junior Software Development Engineer to strengthen our team by helping on Proton Mail Bridge and the Export tool.

Tech Stack and Tools

  • Proton Mail Bridge is developed using Golang, C++, Qt, and released on 3 platforms (macOS, Windows, Linux).
  • All our client-code is open-source and GPL3.
  • Our backend runs on premise in Proton's data-centers.
  • To organise our work we use standard tools such as Jira, Confluence, and GitLab.

Purpose of the role

As a Junior Software Development Engineer in the Inbox Desktop team, you will play a crucial role in maintaining one of Proton's most mature desktop offerings, Proton Mail Bridge. We expect you to be customer-centric, continuous learner, passionate about technology and usability. You are an adept at turning technical complexities into seamless user experiences. Effective teamwork, collaboration with Product, Design, APIs, and your team, and data-driven decision-making are essential aspects of this role.

In the Inbox organisation, we believe that a psychologically safe environment is critical to foster innovation, collaboration, and growth. We are rooted in science, and according to both academic research and empirical evidence, teams that feel safe to take risks and express their ideas are more likely to be innovative and perform better: you will play a key role in helping us creating such an environment across the entire organisation. 

What you will do

  • Develop, deploy and support high-quality user experiences on Proton Mail Bridge and the Export tool including existing and new feature development.
  • Collaborate with QA, designers, and product managers, to make our product better and better.
  • Work with senior software engineers to learn how to write clear, concise and testable code to maintain and elevate the quality of our codebase.
  • Analyse the MIME structure of messages and take an active part in test automation.
  • Strive for frequent releases, write code with growing test coverage and use CI.
  • Maintain our team and system documentation.
  • Take part in team activities, such as project meetings, code reviews, and pair programming.
  • Foster a culture of learning, creativity, and accountability for the best possible work.

Job requirements

While we prefer candidates who cover the entire skillset, do not hesitate to apply if you are not an exact match, as we are willing to help you grow in certain areas.

  • Coding: Professional software development experience with Golang (a significant portion of the codebase is in Golang) or other object-oriented compiled languages such as C++ or Rust. Familiarity with Qt. Experience with writing automated tests for your code. Comfortable using collaboration and developer efficiency tools such as Git, GitLab, GitHub, IDEs, etc.
  • Desktop software development: Experience in developing and troubleshooting desktop applications on Windows, macOS, and Linux.
  • Problem-solving: Strong problem-solving skills and the ability to troubleshoot issues efficiently remotely while protecting our user’s privacy.
  • Collaborative skills: Proven ability to work collaboratively in a team environment, excellent written communication skills, and experience working in a distributed team setup.
  • Product mindset: A product mindset with a focus on offering outstanding user experience in a successful business environment.
  • Security focus: Understanding of secure coding practices and a commitment to maintaining high levels of security and privacy.
  • Hybrid work environment: Able to work from the office (70%).

Bonus points for:

  • Bachelor's or Master's degree (or close to completion) in Computer Science, Software Engineering, or a related field.
  • Awareness of common security issues in client-side development, such as those in the OWASP top ten, and how to mitigate them.
  • Familiarity with UX, accessibility, internationalisation, and localisation concerns and solutions.
  • Experience with Grafana or other monitoring platforms.

What We Offer

  • Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
  • Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
  • Food: Lunch and snacks are provided by Proton every day at our offices.
  • Transport: We will always support our employees with transport costs through subsidising public transport, bike allowances, or parking spaces based on your office location.
  • Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
  • Flexible Working: You can define your own working hours as long as it works with team meetings.
  • Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
  • Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
  • Work that Matters: Proton is a community-first organisation, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

1

Senior Fullstack Engineer (MSA)

Location: Skopje office

Apply at https://job-boards.eu.greenhouse.io/proton/jobs/4392372101

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role

MSA is a highly multi-disciplinary group started in 2019 to tackle difficult mail delivery, spam, abuse, and account security problems that impact the Proton ecosystem. We built sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of realtime or asynchronous decisions each day. As of late 2023, our areas of focus are 1) mail delivery and spam, 2) abuse and account security, 3) site reliability of Proton, and 4) a new product involving blockchains. Over the past few years, our custom systems have reduced spam filter misclassifications by over 60%, blocked millions of abusive bulk signups, protected hundreds of thousands of users from account compromise by attackers, and mitigated hundreds of DDoS attacks. In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, web and mobile apps, machine learning, security and operational excellence. In 3 years, we grew from 2 engineers to over 30 engineers and analysts, spread across 3 continents for 24/7 coverage. We are looking for humble, mission-driven, systems-thinking people who want to make a big impact in a startup environment.

What you will do

MSA builds and operates many services responsible for different domains. You will:

  • work with other engineers and analysts to design, build, and operate these systems
  • work on special user-facing features involving frontend and backend software development
  • You will have the opportunity to play Product or Project Managers roles and lead the whole planning and development process
  • be responsible for the operational excellence of the systems/features and their interaction with other systems
  • You may work on MSA's custom systems written in Python or on the main Proton API written in PHP or on Proton Web apps written in React or even on native iOS and Android mobile apps

Job requirements

  • Familiar with backend development (Python, PHP, or Go)
  • Familiar with frontend design and development (JavaScript, React, Typescript, or jQuery)
  • Familiarity with building complex production systems
  • Familair with data processing and storage (MySQL, MongoDB, Redis, Kafka, Elastic, Ceph, ClickHouse)
  • Excellent English communications, both written and spoken

Bonus points for: 

  • experience with machine learning and real-time prediction systems
  • experience with iOS or Android app development
  • experience with managing Linux servers, including infrastructure as code (Puppet, Ansible) and containerization

What We Offer

  • Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available.
  • Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
  • Food: Lunch and snacks are provided by Proton every day at our offices.
  • Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
  • Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
  • Flexible Working: You can define your own working hours as long as it works with team meetings.
  • Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
  • Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
  • Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

 

1

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.

Software Engineering (3+1+1)

Software Engineering (3+1+1)

1. General information
 
The goal of the master studies in software engineering is to provide top quality European education and training for the software engineers that will be ready to cope with the technical and economic responsibility while projecting, developing, using and maintenance of complex software systems. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design, development and leading software projects including their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Software engineering
  • Scientific-research field: Engineering and Technology
  • Category: Information engineering
  • Sub-category:Software engineering
  • 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 if 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 software engineering
 
2.  Introductory courses
 
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
 
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6 -
 2  Web design VII 6 -
 3

 Elective course 1

VII

6

-

 4

 Elective course 2

VII

6

-

 5

 Elective course 3

VII

6

-

 6  Information systems VIII  6 -
 7  Elective course 4 VIII 6 -
 8  Elective course 5 VIII 6 -
 9  Elective course 6 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

 Distributed computer systems

VII

6  Computer networks and Databases
 2  Artificial intelligence VII 6 -
 3

 Computer graphics

VII

6

-

 4

 Network programming

VII

6

-

 5

 Web-based systems

VII

6

Network programming

 6  Software project management VII 6  -
 7  Advanced processor architectures  VII 6 -
 8  Embedded computer systems VII 6 Computer architectures 
 9  Network software VII 6
10   Programming project VII 6
11   Visualization VII 6
12   Image processing VIII 6
13   E-commerce and M-commerce VIII 6
14   Public mobile networks VIII 6 Network programming 
15   Geographic information systems VIII 6
16   Virtual reality VIII 6
17  Computer animation VIII 6
18  Computer security and protection VIII 6 -
19  Multimedia systems VIII 6  Distributed computer systems
20  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Software engineering can be found at this link.

Intelligent Information Systems (3+1+1)

Intelligent Information Systems (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: 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. 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 Discrete mathematics
 2  Artificial intelligence VII 6 -
 3  Elective course 1 VII  6 -
 4  Elective course 2 VII  6
 5  Elective course 3  VII  6
 6

WAN networks

VIII

6

 Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 4 VIII 6 -
 9  Elective course 5 VIII 6 -
 10  Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

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

 Introduction to robotics

VII

6

-

 4  Network programming VII 6 Internet programming
 5  Statistical data processing VII 6 Probability and statistics 
 6  Natural language processing VII 6 Formal languages 
 7

 Web-based systems

VII

6

Network programming

 8  Web design VII 6
 9  Visualization VII 6 Object-oriented programming 
10  Geographic information systems VIII 6 Databases 
11  Human computer interaction VIII 6 Object-oriented programming 
12   E-commerce and m-commerce VIII 6 Computer networks
13  Virtual reality VIII 6 Human computer interaction 
14  Mobile information systems VIII 6 Databases, Distributed computer systems
15  Computer animation VIII 6 Computer graphics
16  Intelligent information systems VIII 6 Databases 
17  High performance computing VIII 6 Computer architectures
18  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Intelligent information systems can be found at this link.

Content-based Retrieval (3+1+1)

Content-based Retrieval (3+1+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. 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 6 -
 5  Elective course 2  VII
 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 and 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 Content-based retrieval 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.