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IT Management (4+1)

IT Management  (4 + 1)

1. General Information

Postgraduate studies in Management in Information Technology aim to provide quality and top European education and training of highly educated staff with in-depth knowledge of methods and techniques for managing ICT projects and systems. Upon completion of their studies, these staff will be able to take responsible positions in the processes of planning, design, management and monitoring of ICT projects and systems, including their business aspects.

The program in Management Studies in Information Technology is compatible with the relevant studies offered at most of the world's universities that support this topic and enable student mobility.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of computer science and engineering - FCSE
  • Study Program Name:   IT Management
  • Scientific-research area:   2 technical-technological
  • Field
  • The value of postgraduate studies is   60 ECTS credits .
  • Duration of studies:   2 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Admission Requirements : Students in Information Technology Management can enroll in graduate students who have 240 or 180 undergraduate credits.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a variety of introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester: 2 compulsory courses, 2 elective courses in the field.
  • Second semester: 1 compulsory subject in the field, 1 elective subject in the field and 1 elective subject from the list of UKIM and final project - master's thesis (18 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following general abilities and qualifications:

  • Ability to work in interdisciplinary teams
  • Power of analysis and synthesis
  • Power to apply knowledge in practice
  • Power to generate new ideas (creativity)
  • Power of learning
  • Ability to critique and self-critique
  • Ability to make decisions
  • Knowledge of English
  • Research skills

Upon successful completion of the postgraduate studies in Information Technology Management, the successful student will possess the following specific abilities and qualifications:

Knowledge and Understanding

 

Provides in-depth knowledge and understanding of the theoretical foundations of software and innovation project management, information systems and risk management and other disciplines.
Acquiring the necessary knowledge in the field of management with ICT systems and projects.
Develop advanced skills in planning, designing, designing, managing, testing, and implementing ICT systems and projects.
Demonstrates a high level of professional competence in the analysis of empirical data in the fields of business, industry, economics and government.
Work with applied projects to manage projects, resources, money and people.
Governs the latest industry standards and best practices, as well as opportunities for improvement and future development in the area.

Applying knowledge and Understanding

 

Can apply knowledge and understanding for professional development in a narrower area of ​​Information Technology Management.
Demonstrates skills and knowledge necessary for the individual to be competent in managing IT systems and projects at a high level.
The competencies qualify him with a solid management and technical basis with the possibility to include a selected range of broader aspects of Management in Information Technology and the like that will suitthe needs of the professional in this field with constant and rapid development.
In-depth management knowledge required for efficient work of ICT manager, independent specialist or member of specialized team.

Ability to evaluate

Demonstrates a commitment to self-improvement and continuous professional development
Demonstrates in-depth knowledge of advanced analysis and design techniques in the fields of Information Technology Management.
Demonstrates knowledge of best practices for improving productivity and mutual understanding in business organizations taking into account personal, social, scientific and ethical aspects.
Demonstrates the ability to make managerial decisions independently and link business practice with application solutions.

Communication Skills

Demonstrates the ability to communicate with colleagues and work in a team through a high level of awareness of the importance and power of communications.
Illustrates effective exchange of information, ideas and reasoned arguments.
Demonstrates high ability to work and lead multidisciplinary teams
Demonstrates ability to plan and manage time at managerial level and professional socialization and conflict resolution.
Recognizes complex organizational structures and the need to restructure them,   understands their impact on effectiveness and efficiency in combination with modern technologies.

  Learning Skills

Demonstrates an understanding of the basics of research methodology, with the ability to evaluate, design and conduct research in the field, formulate, plan a research project and communicate in depth on a topic.
Demonstrates the ability to reasonably evaluate and generate ideas with creative and critical thinking, mastering new theories, models, techniques and technologies, while appreciating the need for continuous professional development.
Able to select and understand procedures and methods for structuring, consolidating, and handling information and data in an environment.
Has high self-confidence and independence, proactivity and self-awareness to perform and delegate tasks and manage further career.

 

Acquired title:   Master of Information Science and Computer Engineering in the field of Information Technology Management.  

2. Studies
 

Table 1:  Schedule of the courses in semesters and academic study years (AC)

 

List
Number

Course
code

Course title

Semester

Weekly fund of classes

ECTS

L

E

FIRST YEAR

1.

IT-I-03

ICT Management    

9

4

0

6

2.

ITMWE02

Advanced ICT Innovation and
Entrepreneurship

9

2

1

6

3.

ITMWE01

Advanced Software Project Management

9

4

0

6

4.

 

Elective course

9

 

 

6

5.

 

Elective course

9

 

 

6

6.

ITMSE01

Advanced Software Requirements
Engineering

10

2

0

6

7.

 

Elective course

10

 

 

6

8.

 

Master's Thesis

10

 

 

18

Total hours (lectures / exercises) and number of ECTS credits in the academic year

 

 

60

2.1 Electives

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

 

Number

 

Code

 

Name of the object

 

Semester

Weekly fund of classes

 

ECTS

 

Unit

L

E

1

ITMWE07

Management of Databases   

9

2

2

6

FINKI

 

2

 

ITMWE06

Information security management   

 

9

 

2

 

1

 

6

 

FINKI

 

3

 

SI-Z-01

Software Lifecycle Management   

 

9

 

4

 

0

 

6

 

FINKI

4

BK-I-12

Change and risk management

9

4

0

6

FINKI

 

5

 

ITMWE10

Managing the Software Testing Process    

 

9

 

2

 

1

 

6

 

FINKI

 

6

 

CC-I-02

Big Data and Distributed Data Analytics

 

9

 

2

 

2

 

6

 

FINKI

 

7

 

ITMWE03

Advanced Management Information Systems   

 

9

 

2

 

2

 

6

 

FINKI

 

8

 

ITMWE08

e-Government advanced topics   

 

9

 

3

 

1

 

6

 

FINKI

9

ITMWE04

Business Design Thinking      

9

4

0

6

FINKI

10

ITMWE11

Digital Transformation   

9

2

2

6

FINKI

11

IT-I-04

E-business

9

4

0

6

FINKI

 

12

 

IT-I-10

Internet Infrastructure management

 

9

 

4

 

0

 

6

 

FINKI

 

13

 

EI-I-01

Requirements Analysis in Ecosystem informatics

 

9

 

3

 

0

 

6

 

FINKI

 

14

 

IS-I-07

Systems for data-based business decision

 

9

 

4

 

0

 

6

 

FINKI

15

KN-I-10

Business process mining

9

4

0

6

FINKI

 

16

 

SDP-Z-4

Wrangling and exploratory data analysis

 

9

 

4

 

0

 

6

 

FINKI

 

17

 

IS-I-06

Information Systems Analysis and Design

 

9

 

4

 

0

 

6

 

FINKI

18

IT-I-18

Data Science

9

4

0

6

FINKI

 

19

 

SNP-Z-1

Data Analysis Using Statistical Packages

 

9

 

4

 

2

 

6

 

FINKI

20

CC-I-04

Business modelling

9

4

0

6

FINKI

21

IS-I-01

Collective Intelligence

9

4

0

6

FINKI

22

ITMWE09

Human resource management    

9

2

0

6

FINKI

 

23

 

SI-I-05

Model based software Engineering

 

9

 

4

 

0

 

6

 

FINKI

24

SI-I-07

Engineering ethics

10

4

0

6

FINKI

 

25

 

SI-I-08

Engineering ERP business Systems

 

10

 

4

 

0

 

6

 

FINKI

26

ITMSE02

IT Service Management

10

2

0

6

FINKI

27

CC-I-07

Small business management

10

3

0

6

FINKI

28

CI-I-11

Decision support systems

10

4

0

6

FINKI

29

SI-I-13

Software Architectures

10

4

0

6

FINKI

30

ITMSE05

Strategic management in IT

10

2

0

6

FINKI

 

 

 

31

 

 

 

EDU-I-10

Student Involvement in Humanitarian, Free and Open-Source Software Development

 

 

 

10

 

 

 

2

 

 

 

2

 

 

 

6

 

 

 

FINKI

 

32

 

ITMSE06

Management of Electronic Educational Systems

 

10

 

2

 

1

 

6

 

FINKI

33

IT-I-08

Digital Marketing

10

4

0

6

FINKI

34

EDU-Z-04

Gaming in education

10

2

2

6

FINKI

 

 

35

 

 

EDU-I-04

Recommender Systems, Virtual Guidance and Self- Help in Knowledge Mastery

 

 

10

 

 

2

 

 

2

 

 

6

 

 

FINKI

 

36

 

ITMSE07

Data Science Project Management

 

10

 

2

 

1

 

6

 

FINKI

37

SDP-I-4

Business analytics

10

2

2

6

FINKI

38

SI-I-09

Software Reliability

10

4

0

6

FINKI

Total:

 

 

 

 

Табови

Mile Jovanov Ph.D.

Security, cryptography and coding (4 + 1)

1. General Information

 

Postgraduate studies in Security, Cryptography and Coding aim at a top European education and training staff, which after graduation will be able to meet the needs of the industry.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: academic second cycle studies in Security, cryptography and coding
  • Scientific-research area: technical-technological sciences, natural-mathematical and sciences
  • Field: Computer Science and Informatics, Informatics
  • Area: Other ( Computer Security, Cryptography, and Coding)
  • 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 consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory 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 security, cryptography and coding

2. Studies

Table 3: List of Postgraduate Courses

РБ New Code / Subject Semester M / E ECTS
1 BK-M-01 Advanced Information Security   IX M 6
2 BK-M-02 Applied cryptography   IX M 6
3 BK-M-03 Coding Theory  IX M 6
4 Elective 2 IX E 6
5 Elective 2 IX E 6
6 BK-M-04 Computer Security X M 6
7 Elective course 3 X E 6
8 Master Thesis X M 18

 

When choosing the courses, at least one elective course should be chosen from the offered elective courses in Table 4. The remaining elective courses can be selected from courses offered in all directions of the second cycle of studies at the Faculty of Information Sciences and Computer Engineering, and one of the electives can be chosen from the University list of courses of the second cycle of studies.

 

Table 4: Electives

< <

РБ New code /   Subject Semester ECTS Fund hours
П | В
1 BK-E-01   Security for mobile and web applications X 6 30 30
2 BK-E-02 Biometric systems   IX 6 30 30
3 BK-E-03 Provable security X 6 30 30
4 BK-E-04  Cryptanalysis  X 6 30 30
5 BK-E-05  Cryptographic Engineering   IX 6 30 30
6 BK-E-06  Cryptographic Protocols  X 6 30 30
7 BK-E-07  Mathematical Logic for Computer Science IX 6 30 30
8 BK-E-08  Advanced Algebraic Structures X 6 30 30
9 BK-E-09 Advanced communication channel coding algorithms X 6 30 30
10 BK-E-10  Applied Information Theory IX 6 30 30
11 BK-E-11 Stochastic Processes IX 6 30 30
12 BK-E-12 Change and Risk Management    IX 6 30 30
  Selection from University List of Free Courses   6 30 30

 

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 .

Ecoinformatics (4+1)

1. General Information

 

Postgraduate studies in Ecoinformatics strive for top European education and training of staff, who after graduation will be able to meet the needs of industry.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: academic second cycle studies in Ecoinformatics
  • Scientific-research area: technical-technological
  • Field: Computer Engineering & Informatics
  • Area: eco-informatics
  • 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 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory 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 Ecoinformatics

 

 

2. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 EI-Z-01 Concepts in Eco-informatics IX M 6
2 EI-02 Ecological modeling  IX M 6
3 EI-Z-03 Implementation of Geographic Information Systems  IX M 6
4 Elective course 1 IX E 6
5 Elective 2 IX E 6
6 EI-Z-04 Knowledge Discovery in Environmental data X M 6
7 Elective course 3 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 electives can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New Code / Subject Semester ECTS
1 EI-I-01   Requirements Analysis in Ecosystem informatics  IX 6
2 EI-I-02   Monitoring and data processing in environmental engineering  IX 6
3 ЕE-E-03   Remote sensing  X 6
4 ЕE-E-04   E-business IX 6
5 ЕE-E-05   Data visualization IX 6
6 ЕE-E-06   Digital Marketing  X 6
7 EI-I-07 Advanced Distributed and Parallel Systems IX 6
8 EI-I-08 Internet Infrastructure Management IX 6
9 ЕE-E-09   Smart Sensor Networks X 6
10 IT-I-10   Network Virtualization and Cloud Computing X 6
11 IT-I-11   Data Science IX 6
12 IS-I-04   Mobile web services IX 6
13 ПС-E-08   Linked Open Data X 6
14 PS-I-07   IoT for Environmental Systems 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 .

We are excited to announce the launching of an internship program for aspiring frontend and backend developers at Metergram, from April 1st to June 30th 2022.

 

We are looking for current Computer Science or Computer Engineering students to join our software development internship. If you are a current student and are interested in building software using state-of-the-art technologies (AWS, Serverless, Node.js, React, Redux, etc) then this exciting opportunity is for you.

You’ll fit right in if you…

  • Got good vibes
  • Like working with nice people
  • Never get tired of learning
  • Love a good challenge
  • Are passionate about programming

Preferred Qualifications

  • Demonstrated ability to do analytical problem solving
  • Good understanding of the general concepts of object-oriented and functional programming
  • Good understanding of relational databases and operating systems
  • Understanding of all the phases of the software development cycle (SDLC)
  • Preferably near the end of the studies (3rd or 4th year)
  • Bonus skills: JavaScript, TypeScript, SQL, REST APIs

You will learn about…

  • How to apply the best practices in Web development
  • Building modular, loosely coupled Web applications and services
  • The most important design patterns and principles for building modern Web services
  • Working with modern technologies like Node.js, React, Serverless framework, etc.
  • Amazon Web Services, when and how to use them
  • Source control (Git)
  • How to work in a team and communicate on a daily basis
  • The Scrum and Agile methodology

You will work on…

  • Specific tasks provided by your mentor who will guide you through the whole process
  • Writing integration and unit tests using Mocha and Chai framework
  • Real-world applications using modern Web technologies with an emphasis on Node.js, React and AWS

You can expect…

  • To become part of a fast-growing company and an amazing team of professionals
  • To experience a company culture that respects diversity, individuality and equality
  • To participate in various projects learning to work on state-of-the-art technologies
  • To gain knowledge, guidance and mentorship from experienced developers and excellent IT professionals
  • To be guided and mentored through the process
  • To learn about effective communication and collaboration with team members and clients

You will get…

  • 400 EUR gross per month
  • Flexible work hours during the week, weekends off 
  • Possibility to work remotely, hybrid or in an office, it is completely up to you
  • Great office location in the city center and a comfortable work environment
  • Excellent employment opportunity after the end of the program

 

We are looking forward to receiving your CVs at jobs@metergram.com

 

1

Software Engineering TEMPUS (4+1)

Software Engineering TEMPUS (4+1)

1. General information 

The MSc curriculum in software engineering is committed to excellence in European-wide software education and training of engineers to deliver high quality and trustworthy software systems that meet the local industrial needs.

 

General competencies

  • Ability to work in an interdisciplinary team
  • Capacity for critical analysis and synthesis
  • Capacity for applying knowledge in practice
  • Capacity for generating new ideas (creativity)
  • Capacity to learn
  • Decision-making
  • Knowledge of a second language
  • Research skills 

Specific learning outcomes

  • Show mastery and critical thinking of the software engineering (SE) knowledge and skills and professional issues necessary to begin practice/research as a software engineer.
  • Work as individual or as part of a team to develop and deliver high quality software artefacts, being able to analyze its level of quality.
  • Identify, analyse, and reconcile conflicting project objectives, finding acceptable compromises within limitations of cost, time, knowledge, existing systems and organizations.
  • Analyze, design and document appropriate solutions in more than one application domains using SE approaches that integrate ethical, social, legal and economic concerns.
  • Demonstrate an understanding of and critically analyze and apply current theories, models and techniques that provide a basis for problem identification and analysis, software design, development, implementation, verification and documentation.
  • Demonstrate an appreciation and understanding for the importance of negotiation, effective work habits, leadership and good communication with stakeholders in a typical, industry-strength software environment.
  • Learn new theories, models, techniques and technologies as they emerge and appreciate the necessity of such continuing professional development. 
  • Offered by: Sts. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE in collaboration with the University of Novi Sad, Faculty of Natural Sciences and Mathematics, Department of Mathematics and Computer Science
  • Study programme: Joint MSc curricula in Software Engineering / Tempus JEP 18035
  • Scientific-research field: Computer Science
  • Category: Computing
  • Sub-category: Software and its Engineering, Theory of Computation, Information 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 the second semester there 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.
  • First semester: 5 elective courses divided into two groups: general SE competence and specific SE competence. Student can select at most two from the general SE courses, and at leas from the specific SE courses
  • Second semester: Final master thesis project that equals 30 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 

Degree: Master of computer science in the area of software engineering.

Ecoinformatics TEMPUS (3+1+1)

Ecoinformatics TEMPUS (3+1+1)

1. General Information

 
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 предмети од кои еден може да биде од Универзитетската листа.
  • Втор семестар: 1 задолжителен и 1 изборен предмет, од кои еден може да биде од Универзитетската листа (само доколку во првиот сместар 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. 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  Information systems VII 6 Databases
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 

 6

 Geographic information systems

VIII

6

 

 7  Data mining VIII 6  
 8  Elective course 4 VIII 6  
 9  Elective course 5 VIII 6  
10  Elective course 6  VIII 6  
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Distributed computer systems

VII

6 Computer networks, Databases
 2  Artificial intelligence VII 6  
 3

 Web-based systems

VII

6

Computer networks, Databases

 4

 Embedded computer systems

VII

6

Computer networks

 5  Network programming VII 6  
 6  E-commerce and m-commerce VII 6  
 7 Алгоритми за анализа на податоци и складишта на податоци VIII 6 Databases
 8  Intelligent information systems VIII 6  Information systems
 9  Mobile information systems VIII 6  Information systems 
10  Elective course from University list of available courses   6  
 
2.1 Studies
 
Courses for the Master studies for the study programme Ecoinformatics can be found at this link.

Do you love playing mobile games and want to take your first steps into the gaming industry?
CrazyLabs Macedonia is opening its Internship Program for Mobile Games QA – your chance to gain hands-on experience testing high-quality mobile games in a fun, fast-paced environment where playing games is part of the job.

If you’re passionate about games, detail-oriented, curious about AI tools, and eager to learn what it takes to be the final gatekeeper of quality — this internship is for you!


What you’ll do

  • Learn how to perform functional, non-functional and acceptance testing of mobile games (including regression tests, sanity checks, and feature-specific tests)
  • Support QA team in identifying, documenting, and tracking issues and defects
    Get familiar with QA tools like Jira, TestRail, and bug reporting processes
  • Collaborate with Developers, Project Managers, Game Designers, Analysts, and other teams to understand the full game development cycle
  • Gain insight into project workflows, game mechanics, game genres and testing objectives
  • Provide feedback on new features and game design ideas
  • Learn QA best practices and processes in a real-world setting
     

What you bring

  • In the final year of studies or a recent graduate - MUST
  • A strong passion for mobile games - MUST
  • Attention to detail and curiosity to learn - MUST
  • Eagerness to explore and use AI-powered tools to support testing
  • Basic knowledge of mobile platforms (iOS/Android) and how apps are installed and tested
  • Strong communication skills and team spirit
  • Availability to join a full-time internship program
  • Spoken and written English skills

 

 

What are your benefits

  • Hands-on experience working on live mobile games at one of the world’s top 3 mobile gaming companies
  • Mentorship & training from experienced QA professionals
    Free Drinks, Breakfast and Lunch at the office, tailored to your preferences
  • Gifts for special occasions
    An amazing office environment where fun and creativity thrive — complete with ping pong, PlayStation, and an in-office gym
  • Possibility for employment after the end of the program

 

Additional Information

  • Application deadline: October 17, 2025
  • Selection process: Test & Interview
  • Programme start date: November 12, 2025
  • Programme end date: December 26, 2025
  • Location: On-site at CrazyLabs Skopje office
  • Duration: Full-time, 8 hours per day
  • Application link: CrazyLabs Internship Application Form

 

 

 

(Previous QA experience is not required — this is your opportunity to learn and grow with us!)

 

1

Табови

Ivan Chorbev Ph.D.

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 .