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Education with ICT (4+1)

Education with ICT (4 + 1)

Postgraduate studies in Education with ICT aim at top European and world education and training of primary and secondary school educators with the most modern approaches to the acquisition of new knowledge, as well as the use of advanced information technologies. These studies will also enable students in engineering to focus on research in the field of information science education. After graduation, students will be able to more successfully approach the new generations of students in the field of informatics.

 

The ICT Education Studies program is compatible with the relevant studies offered at most of the world's universities that support this theme and enable student mobility. Some of them are:

  1. Institute of Education, University of London, England

http://www.ioe.ac.uk/study/PMM9_ICT9IM.html

  1. Kings College London, England

http://www.kcl.ac.uk/prospectus/graduate/structure/name/computing-in-edu...

  1. University of Edinburgh, UK

http://online.education.ed.ac.uk/content/

  • 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 E ICT duplication
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Informatics
  • 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 : Completed undergraduate studies before ECTS or completed undergraduate studies with a minimum of 240 credits.
  • First semester: three compulsory courses and two elective courses, for a total of 5 courses, one of which can be from the University list (5x6 = 30 ECTS).
  • Second semester: two elective courses and a final project - master's thesis (12 + 18 = 30 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.

Acquired title:     Master in ICT Education

2. Studies
 

Table 1: List of Postgraduate Courses

 

Code

Name of the subject

Status

Семестар

ECTS

1

ЕДУ-З-01

Modern teaching methods

M

winter

6

2

ЕДУ-З-02

Advanced ICT in education

M

winter

6

3

ЕДУ-З-03

Creating digital educational content

M

winter

6

4

 

Elective course

E

winter

6

5

 

Elective course

E

winter

6

6

 

Elective course

E

summer

6

    7   Elective course E summer             6

 

After obtaining 18 ECTS, students have the right to apply for a master's thesis for which after completing it they will win 18 ECTS.

2.1 Electives

Configure
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  link  .

Internet Technologies (3+1+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 of Information Sciences and Computer Engineering - FINKI
  • 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 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 Internet Technologies

 

2. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 mandatory subject 1 of Table 2 VII 6
2 mandatory subject 2 of Table 2 VII 6
3 mandatory subject 3 of Table 2 VIII 6
4 mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with postgraduate studies in intelligent systems. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW513   Distributed Systems VII 6 Computer Networks, Algorithms and Data Structures
2 CSEW519   Mobile platforms and programming  VII 6 Object-Oriented Programming
3 CSEW702   Web based systems  VII 6 Network Programming
4 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
5 CSEW504   Network Services Administration VII 6 Computer Networks, Operating Systems
6 CSES609   Computer Network Design  VIII 6 Computer Networks
7 CSES405   Wireless mobile systems  VIII 6 Computer Networks
8 CSES618   Network Security  VIII 6 Computer Networks, Operating Systems
9 CSES633   Networking VIII 6 Computer Networks
10 CSES612   Electronic & Mobile Commerce  VIII 6 Internet programming

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester). p>

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 IT-Z-01 Network Analysis IX З 6
2 IT-Z-02 Advanced mobile and web applications IX З 6
3 IT-Z-03 Internet Security and Privacy IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 IT-Z-04 DevOps for networking  X З 6
7 Elective X И 6
8 Master Thesis X З 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 < / span> Semester ЕКТС
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   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 .

Ecoinformatics (3+1+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. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 of Table 2 VII 6
2 Mandatory subject 2 of Table 2 VII 6
3 Mandatory subject 3 of Table 2 VIII 6
4 Mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Technologyauki and computer engineering

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The choice of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in Internet technologies. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2: List of electives

РБ New Code / Subject Semester ECTS Prerequisite2
1 CSEW501   Management Information Systems  VII 6 Software Engineering or Software Requirements Analysis
2 CSEW702   Web based systems  VII 6 Web programming or Internet technologies
3 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
4 CSEW504   Network Services Administration VII 6 Computer Networks, Operating Systems
5 CSEW710   Research methodology in ICT  VII 6 no
6 CSEW711   Modeling and Simulation  VIII 6 Probability and Statistics
7 CSES606    Geographic Information Systems  VIII 6 Databases
8 CSES622    Data Mining VIII 6 Databases
9 CSES805    Intelligent Information Systems VIII 6 Machine learning
10 CSEW517   Machine learning  VIII 6 Probability and Statistics or Business Statistics

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).  

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 EI-Z-01 Concepts in Eco-informatics IX З 6
2 EI-02 Ecological modeling  IX З 6
3 EI-Z-03 Implementation of Geographic Information Systems  IX З 6
4 Elective course 1 IX И 6
5 Elective 2 IX И 6
6 EI-Z-04 Knowledge Discovery in Environmental data X З 6
7 Elective course 3 X И 6
8 Master Thesis X З 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 EI-I-03   Remote sensing  X 6
4 ЕИ-И-04   E-business IX 6
5 ЕИ-И-05   Data visualization IX 6
6 ЕИ-И-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 ЕИ-И-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 PS-I-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 .

Computer Science (3+1+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad.

 

  • 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 Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 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 course and 1 elective, which can be from the university list (only if in the first semester the courses 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   Computer Science

 

2. Introductory layer

 

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 of Table 2 VII 6
2 Mandatory subject 2 of Table 2 VII 6
3 Mandatory subject 3 of Table 2 VIII 6
4 Mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list freeitems VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with postgraduate studies in intelligent systems. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW317  Formal languages and automata VII 6 no
2 CSEW308   Linear Algebra VII 6 no
3 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
4 CSEW517   Machine learning  VII 6 no
5 CSEW507   Visualization  VII 6 Object-Oriented Programming
6 CSES419   Algorithms and Complexity VIII 6 One of the subjects: Algorithms and Data Structures, Algorithms and Data Structures, Data Structures
7 CSES622   Data Mining VIII 6  
8 CSES619   Advanced Databases  VIII 6 Databases
9 CSES621   Parallel Programming VIII 6 Advanced Software Development
10 CSES629   Data Warehouses and OLAP VIII 6 Algorithms and data structures, Databases

 

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).  

 

3. Studies

Tableand 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 KN-Z-01 Advanced algorithms  IX З 6
2 KN-Z-02 Optimization methods  IX З 6
3 KN-Z-03 Formal methods  IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 KN-Z-04 Research methods and writing techniques X З 6
7 Elective X И 6
8 Master Thesis X З 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 КН-И-01 Modern simulations and modeling  IX 6
2 KN-I-02  Big Data Concepts and Applications IX 6
3 KN-I-03  Database Performance, Reliability and Security IX 6
4 KN-I-04  Complexity Theory and Coding  IX 6
5 KN-I-05  Text-data processing IX 6
6 KN-I-06  Modern trends in parallel processing IX 6
7 КН-И-07      
8 КН-И-08  Big Data Modeling and Management X 6
9 KN-I-09  Bayesian Data Analysis  X 6
10 KN-I-10  Business process mining  X 6
11 IS-Z-02  Advanced artificial intelligence and machine learning  IX 6
12 СИ-И-01  Time series analysis and forecasting  IX 6
13 BK-I-07  Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16  Computational Game Theory  X 6
16 БК-И-08 Advanced Algebraic Structures X 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 .

Software Engineering (3+1+1)

1. General Information

 

The second cycle studies in software engineering aim to provide quality and top European education and training of software engineers who will be able to bear the technical and economic responsibility of designing, developing, using and maintaining complex software systems. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, designing, developing and running software projects, including their business aspects.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Study Program Name: Academic Second Cycle Software Engineering Studies
  • Scientific-research area: technical-technological (2)
  • Field: Computer Science and Informatics (212)
  • Area: Software Engineering
  • 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 Software Engineering

 

2. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 Mandatory subject 1 From Table 2 VII 6
2 Mandatory subject 2 From Table 2 VII 6
3 Mandatory subject 3 From Table 2 VIII 6
4 Mandatory subject 4 From Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in software engineering. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW522   Advanced Web Design  VII 6 no
2 CSEW519   Mobile platforms and programming VII 6 Object-Oriented Programming
3 CSEW702   Web based systems  VII 6 Network Programming
4 CSEW514  Implementation of Free and Open Source Systems  VII 6 no
5 CSEW313   Advanced Programming  VII 6 Object-Oriented Programming
6 CSEW704   Integrated Systems Design VIII 6 Databases
7 CSES602   Security of computer systems VIII 6 Operating Systems
8 CSES616   Mobile Applications VIII 6 Object-Oriented Programming
9 CSES631   Software Quality and Testing VIII 6 Software Engineering
10 CSES634   ICT Project Management VIII 6 no

 

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 SI-Z-01 Software lifecycle management  IX M 6
2 SI-Z-02 DevOps software development IX M 6
3 СE-M-03 Software Design Templates IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 SI-Z-04 Software quality management 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 electives can be selected from the courses offered in the other second cycle studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 SI-I-01   Time series analysis and forecasting IX 6
2 SI-02  Design of video games and special effects IX 6
3 СE-E-03   Medical Informatics IX 6
4 СE-E-04   Multimedia and scalable web   IX 6
5 СИ-И-05  Model based software Engineering IX 6
6 SI-06   Critical systems software engineering X 6
7 СE-E-07   Engineering Ethics  X 6
8 SI-08   ERP Business Systems Engineering X 6
9 СE-E-09   Software reliability X 6
10 СE-E-10   Shape Recognition X 6
11 SI-I-11   Decision Support Systems X 6
12 СE-E-12   System Integration X 6
13 СE-E-13   Software Architectures X 6
14 IS-I-06   Analysis and Design of Information Systems IX 6
15 IT-Z-02   Advanced mobile and web applications IX 6
16 ITMW01  Advanced Software Project Management IX 6
17 IT-I-05   Data visualization IX 6
18 КН-M-03   Formal methods IX 6
19 IT-Z-03   Internet Security & Privacy IX 6
20 IS-I-14   Multimodal interaction X 6
21 IS-I-18   Intelligent mobile applications X 6
22 ITMS01 Advanced Software Requirements Engineering X 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 .

14/03/2023

Во BI&DWH има седум отворени позиции:

Data Analyst

What you do

Producing reports using data collected from different databases

Data analysis and troubleshooting

Analyzing requests from other business units and translating them into coherent and easily presentable reports

Create dashboards that consolidate and organize business KPIs that are informative, intuitive, and actionable using modern visualization tools

Reviewing and validating data quality

 

What you offer

Strong analytical skills to help collect, measure, organize and analyze data

SQL knowledge

Knowledge of data visualization tools (like Microsoft Power BI)

Knowledge of Data Warehouse, databases and ETL processes

Self – Starter

Curious and forward-looking

Agile and responsive

An understanding of the ethics of gathering and working with sensitive or confidential data

 

DWH Developer

What you do

Thorough understanding of Data warehousing concepts

Develop, improve, test and integrate ETL Data Warehouse and Business Intelligence Solutions

Building dimensional models based on user requirements

Identifying data sources and working with source system team and data analysts to define data target solutions

End to end responsibility for specification and implementation for various areas in DWH model for tel-co industry

 

What you offer

University Degree - IT, mathematics, telecommunications or similar

Relevant working experience in DWH/BI environment

Good knowledge in writing complex queries in SQL

Understanding of Data Models: Conceptual, Logical, and Physical & Dimensional/Relational Data Model Design.

Proficient in ETL development tools for Teradata (Fast Load, BTEQ, Fast Export)

 

Data Engineer

What you do

Design, create and maintain data architectures that enable data extraction and transformation for predictive modeling

Design, implement, test, deploy, and maintain batch and stream data processing solutions

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Build cloud, scalable, real time, and high-performance data lake solutions using Azure stack

Maintain data dictionary documentation on ML datasets

Create data tools for analytics and data scientist team members

 

What you offer

Degree in Computer Science or related fields

Advanced SQL proficiency

Knowledge of scripting languages (e.g. python, bassh, shell)

Experience building and optimizing data pipelines, architectures and datasets

Experience with cloud platforms (MS Azure, AWS, Google Cloud)

Experience with data pipeline and workflow management tools (e.g. Data Factory, Informatica, SSIS, Pentaho…)

Design and development of ETL/ELT workflows

Familiarity with source control tools (e.g. Gitlab, Github, Bitbucket) and CI/CD process

Strong problem-solving skills

Plus points:

Knowledge of Azure services- Synapse, Data Factory, AML Studio, Azure Data Lake, Azure Databricks

Hands-on experience on big data frameworks like Spark, Kafka

Experience working on real-time data and streaming applications

Knowledge of python and python data packages (e.g. numpy, pandas…)

Machine learning concepts

 

Customer Service Data Analyst

What you do

Explore creative and innovative ways to make customer feedback more accessible, more accurate, and more meaningful.

Innovate and experiment with ways of collecting, measuring, and examining data that lead to useful analysis and business insights, detect customer pain points and customer needs to improve customer experience.

Design and develop useful metrics, predictive models, dashboards, analysis, and data reporting to support a variety of Customer Service needs.

Builds tools to bring customer insights to drive data-driven actions.

Create presentations that simplify complex ideas, focus on actionable results/insights, and showcase the power of customer data for better customer experience.

 

What you offer

Strong background in statistics and data analysis

Strong applied mathematical, statistical, and analytical skills to design and interpret predictive, descriptive, and inferential statistics

Data visualization aptitude using both quantitative and qualitative data

Demonstrated experience with business intelligence visualization tools

(e.g., Qlik Sense, Tableau, or Power BI)

Intermediate MS Office skills, especially Excel and PowerPoint

Strive for higher levels of achievement and ability

 

Digital Transformation Specialist

What you do

Create, develop and articulate a vision, strategy and roadmap for delivering the best customer experience on the web and online platforms.

Build consensus and alignment with cross-functional team, buy in from stakeholders and senior leadership.

Integrate usability studies, research and market analysis, into product requirements to drive impactful, premium user experiences.

Gather, analyze and document customer’s business requirements including information on products and services offered by competitors.

Understand market needs and user pain points and translate them into product solutions and write the product requirements.

Translate requirements and specifications for new features into user stories and associated acceptance criteria, and partner with design, engineering and analytics to follow through to execution.

Define and analyze metrics that inform the success of products, discover optimization opportunities, hypothesize, and launch A/B tests to inform product decisions.

Measure post-delivery performance and optimize to drive customer experience benefit and cost savings.

Lead cross-functional commercial and IT teams in local and A1 Group-driven projects.

 

What you offer

2+ years of web product development experience;

Experience in working with partners, vendors and stakeholders;

Experience in making data-driven decisions (A/B experimentation, user testing, data analysis, competitors and market analysis, defining metrics);

Experience with UX, user flows, wireframes and prototyping;

Experience in Agile/Scrum and traditional SDLC methodologies;

Fluency in JIRA, MS Office and Analytic tools (Google Analytics preferred);

Degree with focus on E-Business, Marketing or related areas, or equivalent combination of education and experience;

Challenges the status quo, and is not afraid of doing whatever needs to get done to unblock yourself and the team;

Strong capability to think strategically;

Proactive, initiative and confidential personality;

Fluent in English both verbally and written.

 

Video Service Engineer

What you do

Participate in the process of development and operations of video platforms (Cable, Terrestrial, IPTV, OTT, etc)

Take part in implementation and testing process of Set Top Box (STB) devices and Smart TV/OTT applications.

Hold a Standby duty (on-call) according to a rotation schedule with other colleagues from the unit.

Prepare technical reports and perform analysis of statistical report on video service related KPI-s.

 

What you offer

University degree in Engineering/Computer Science disciplines.

Experience with good system engineering practices and vendor engagement.

A working knowledge and experience with some of the following technologies would be an asset:

Digital video system solutions (Cable, Terrestrial, IPTV, OTT, etc.)

Working knowledge with video/audio compression formats

Video processing equipment

Basic Linux & Unix operating system knowledge

Content protection (CAS/DRM)

Basic IP network knowledge (unicast and multicast)

 

Video Services Intern

What you do

Assist with video equipment installation & configuration

Assist with channels reception & processing

Assist with test of latest software builds of STB

Assist with test of new application versions for OTT & Smart TV/Android TV

Track and report data from service quality monitoring platforms

 

What you offer

Current enrollment in a bachelor’s degree program

Prior internship experience is a plus but not required

Experience using Linux & IP networks is a plus but not required

Strong desire to learn along with professional drive

Passion for the telecommunication industry and its best practices

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0

Cloud computing (3+1+1)

Cloud computing (3+1+1)

Cloud computing postgraduate studies aim at top European education and training, which after graduation will be able to deliver scalable and resilient infrastructure, platforms and software, which are high quality and reliable and which meet the needs of local industry.

The cloud computing program is compatible with the respective studies offered at most of the world's universities that support this topic and provide student mobility.

  • Name of the proposer: University "St. Cyril and Methodius University in Skopje,   Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program:   Academic   second cycle cloud computing studies
  • Scientific-research area:   2 technical-technological
  • Поле:   212   Computer Technology & Informatics
  • Област:   21208   other
  • The value of postgraduate studies is   60 ECTS credits .
  • Duration of studies:   2 semesters .
  • An academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Conditions for enrolling in the studies : The studies can be enrolled in cloud computing graduate students who have 240 or 180 undergraduate credits.
  • Introductory layer : students who earned less than 240 credits during their studies a set of differential introductory courses is offered. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester: 2 compulsory subjects, 1 elective general education subject, 2 elective subjects in the field, one of which can be from the list of free elective subjects at UKIM.
  • Second semester: 2 elective courses in the field, one of which can be from the list of UKIM (only if in the first semester the courses are selected at the faculty level) and completed project - master's thesis (18 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4

Acquired title:     Master of Information Science and Computer Engineering in the field of cloud computing.

2.   Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

 

code

subject

SEMESTER

ECTS

Prerequisite

1

CSEW506

Web programming 

seventh

VII

6

Internet technologies

2

CSEW705

Innovation in ICT  

seventh

VII

6

no

3

 

Elective course 1

seventh

VII

6

 

4

 

Elective course 2

seventh

VII

6

 

5

 

Elective course 3

seventh

VII

6

 

6

CSES802

Cloud Virtualization and Computing

eighth

VIII

6

Computer Network Design, Network Services Administration, Computer Networks, Internet

7

CSES628

Service Oriented Architectures

eighth

VIII

6

Internet programming

8

 

Elective course 4

eighth

VIII

6

 

9

 

Elective course 5

eighth

VIII

6

 

10

 

Optional *

eighth

VIII

6

 

* Course can be selected from the University list of free elective courses

 

Table 2: List of electives in introductory layer

 

 

code

subject

SEMESTER

ECTS

Prerequisite

1

CSEW526

High performance computing

seventh

VII

6

Computer architecture and organization or computer architectures

2

CSEW513

Distributed Systems

seventh

VII

6

Computer Networks, Algorithms and Data Structures

3

CSEW702

Web based systems 

seventh

VII

6

None

4

CSEW718

Distributed and parallel processing

seventh

VII

6

Operating systems, parallel programming

5

CSEW312

Multimedia Technologies

seventh

VII

6

Introduction to IT or

Fundamentals of Software Engineering

6

CSEW515

Computer Ethics

seventh

VII

6

None

7

CSEW514

Implementation of Free and Open Source Systems  

seventh

VII

6

None

8

CSEW522

Advanced Web Design 

seventh

VII

6

None

9

CSES621

Parallel programming

eighth

VIII

6

Advanced Software Development

10

CSES602

Security of computer systems

eighth

VIII

6

Operating systems

11

CSES634

ICT Project Management 

eighth

VIII

6

None

12

CSES601

Administering IT systems

eighth

VIII

6

None

13

CSES618

Network Security 

eighth

VIII

6

Data and Computer Communications, Operating Systems

14

CSES622

Data Mining 

eighth

VIII

6

None

15

CSES630

Modern computer architectures 

eighth

VIII

6

Computer Architecture and Organization or Computer Architectures

16

CSES619

Advanced Databases 

eighth

VIII

6

Databases

17

CSES609

Computer Network Design

eighth

VIII

6

Data and computer communications

 

After usOn completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second year of postgraduate studies.

3. Studies
 

Table 1: List of Postgraduate Courses

 

 

Name of the subject

Status

Семестар

ECTS

1

Virtualized Data Centers 

M

winter

6

2

Scalability and multitenancy for SaaS applications 

M

winter

6

3

Elective general education subject *

E

winter

6

4

Elective

E

winter

6

5

Elective

E

winter

6

6

Elective

M

summer

6

7

Elective

E

summer

6

8

Master Thesis

M

summer

18

* Select one item from Table 2

Table 2. General education subjects  

 

Code

Name of the subject

Status

Семестар

ECTS

1

СЕ-E2-08

Business modeling 

E

winter

6

2

ОО-M-01

Research Methods and Writing Techniques

E

winter

6

3

СЕ-E1-04

 Privacy, ethics and social responsibility

E

winter

6

3.1 Electives

Configure
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 elective courses can be found at this link.
14/11/2024

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This is the right opportunity for you if you have:

- Strong knowledge of databases, including entities, attributes, and relationships;
- Practical, foundational experience with the Java programming language and familiarity with the Spring Boot framework;
- A solid understanding of frontend frameworks and structures;
- A passion for creating team-oriented solutions to complex engineering challenges;
- Excellent English communication skills.

What we offer:

- A team of people to support, help, and guide you throughout your internship program;
- A creative culture defined by open communication and fair feedback;
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- Opportunity to work within a team and be a part of our projects;
- An environment to get great exposure to modern technologies, methodologies, and invaluable experience allowing you to explore, fix, and implement solutions.

Apply now: https://bit.ly/4hJUyNR

1
23/01/2025

FINKI is proud to host the DUG Adriatic (Dynamics User Group Adriatic) community event, dedicated to Microsoft Dynamics 365 and Power Platform technologies. The event will bring together industry professionals, businesses, and enthusiasts to share knowledge and practical solutions.

Event Details

  • Date: 15 February 2025
  • Time: 09:00 - 17:00
  • Location: Main Amphitheater, Faculty of Computer Science and Engineering (FINKI)
  • Who can attend: Students, professionals, and enthusiasts interested in Microsoft Dynamics and Power Platform.
  • Capacity: The venue can host up to 250 participants, with around 50-100 professionals already expected to attend.
  • Registration: Students can register via the DUGA Skopje Event page. Early registration is recommended to secure a spot.

Why Should Students Attend?

This event offers students the opportunity to:

  • Learn from industry leaders: Attend sessions led by professionals working with Microsoft Business Apps technologies.
  • Gain practical insights: Explore real-world applications of Dynamics 365 and Power Platform tools like Power BI, Power Automate, and Power Apps.
  • Build connections: Network with local companies and experts, potentially opening doors for internships or job opportunities.

For more information about DUG Adriatic and their activities, visit their official website.

 

0

Statistics for data analysis (3+1+1)

1. General Information

This program is designed to train staff with solid statistical knowledge with a focus on the newly recognized field of data science. The curriculum combines rigorous statistical theory with broader practical experience in applying statistical models to data work. Graduates will be in high demand. Most students are expected to be employed as statisticians, analysts and data experts within private and public institutions providing statistical consultations.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Title of the study program: Second cycle academic studies in Statistics for Data Analysis
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Informatics / Mathematics
  • Areas: Mathematical Statistics and Operations Research, Data Processing, Applied Mathematics and Mathematical Modeling, Programming, Artificial Intelligence, Algorithms, Information Processing .
  • The value of postgraduate studies is 120 ECTS credits.
  • Duration of studies: 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Requirements for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 180 credits.
  • Introductory Layer : The introductory layer is the first two semesters in which students 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.
  • Third semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Fourth semester : 1 Mandatory course and 1 elective course, the elective course can be from the University list (only if in the first semester the courses are selected at the Faculty level) and the final project - master's thesis from 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 upon completion of the studies is Master of Science in Information Science - Statistics for Data Analysis

                Master of Science in Informatics - Statistics for Data Analytics

 

2. Introductory layer

The first year of study is the introductory layer for students whose studies lasted less than four years, ie students who gained 180 credits from previous studies. Students must pass differential exams that will enable them to enter the basics of mathematics and computer science needed to successfully complete their studies.

Table 1: List of subjects in the first year of study

РБ CODE / Subject Semester M / E ECTS
1 Mandatory subject 1 from Table 2 VII M 6
2 Mandatory subject 2 from Table 2 VII M 6
3 Mandatory subject 3 from Table 2 VII M 6
4 Mandatory subject 4 from Table 2 VII M 6
5 Elective course 1 * VII E 6
6 Mandatory subject 5 from Table 2 VIII M 6
7 Mandatory subject 6 from Table 2 VIII M 6
8 Mandatory subject 6 from Table 2 VIII M 6
9 Elective course 5 * VIII E 6
10 Selection from the university list of free courses VIII E  

 

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in statistics for data analysis. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (III and IV semester).

  * Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

 

Table 2: List of recommended courses in the first year of study

РБ New code /   Subject Semester ECTS
1 F18L1W011 Discrete Mathematics VII / VIII 6
2 F18L1S013 Calculus VII 6
3 F18L2W006 Probability and statistics VII 6
4 F18L3W035 Linear Algebra and Applications VII 6
5 F18L3W008 Introduction to Data Science VII 6
6 F18L3W161 Social Networks and Media VII 6
7 F18L3W108 Internet of Things VII 6
8 F18L3W004 Databases VII 6
9 F18L3W068 Computing in the Cloud VII 6
10 F18L3S036 Machine learning VIII 6
11 F18L3S150 Data Mining VIII 6
12 F18L3S163 Statistical Modeling VIII 6
13 F18L3S157 Data warehousing and analytics VIII 6
14 F18L1S023 Business Statistics VIII 6
15 F18L3W076 Introduction to time series analysis VIII 6

 

Table 3: List of Postgraduate Courses in Statistics for Data Analysis

РБ CODE / Subject Semester M / E ECTS
1 SNP-Z-1 Data analysis with statistical packages IX M 6
2 SDP-Z-3 Bayesian data analysis IX M 6
3 SDP-Z-4 Data preparation and research IX M 6
4 Elective item from Table 4 IX E 6
5 Elective item from Table 4 IX E 6
6 SNP-Z-2 Regression Models X M 6
7 Elective item from Table 4 X E 6
8 Master Thesis X M 18

 

Table 3 lists the electives from the Statistics for Data Analysis 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 subject from the university list nand free electives.

 

 

Table 4: Optional list of offered items

РБ New code /   Subject Semester ECTS
1 Methods of statistical locking IX 6
2 Concepts and application of big data IX 6
3 Analysis and forecasting time series IX 6
4 Advanced algorithms IX 6
5 Modeling and fusing IX 6
6 Information Processing in Biological Systems IX 6
7 Analysis of data from related systems IX 6
8 Text Data Processing IX 6
9 Optimization methods IX 6
10 Data processing in bioinformatics IX 6
11 Network Analysis IX 6
12 Ambiental intelligence IX 6
13 Web of the Future IX 6
14 Statistical Programming X 6
15 Statistical Learning X 6
16 Multidimensional statistical analysis X 6
17 Numerical methods for data science X 6
18 Statistical research skills: editing , reporting and visualization of data X 6
19 Business Analytics X 6
20 Random processes X 6
21 Big Data Modeling and Management X 6
22 Discovering knowledge in big graph data X 6
23 Open and related data X 6
24 Modern Simulations and Modeling X 6
25 Computational paradigms in the Internet of Things X 6
26 Data analysis from mobile sensors / sources X 6
27 Intelligent mobile applications X 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 .