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Software Engineering TEMPUS (3+1+1)

Software Engineering TEMPUS (3+1+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.
 
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: Introductory semester 1 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6 Calculus 2
 2  Internet technologies VII 6 Databases
 3  Microprocessors and microcontrollers VII Calculus 2
 4  Formal languages and automata VII  6 Discreet structures 2 
 5

Analyses of software requirements

VII

6

Software engineering 

 6

 Human computer interaction

VII

6

Software engineering

 7  Software construction VII 6 Software engineering
 8  Management in ICT VII 6 Software engineering
 9  Professional ethics VII 6 Software engineering
 
 
Table 2: Introductory semester 2 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite

 1

 Information systems

VIII

6 Databases
 2  Calculus 3 VIII 6 Discreet structures 2
 3

 Algorithms

VIII

6

Object oriented and visual programming

 4

 Software architecture and design

VIII

6

Analyses of software requirements

 5  Software quality and testing VIII 6 Software construction 
 6  Compilers VIII 6 Microprocessors and microcontrollers
 7  Software projects management VIII 6 Software engineering
 
2.1 Studies
 
Courses for the Master studies for the study programme Software engineering TEMPUS can be found at this link.

If you're ready to take the next step in your growth and join a company that values curiosity, quality, and innovation, we’re excited to meet you! At IBORN, you’ll have the opportunity to obtain hands-on experience and launch your career as a Java Software Engineer. With us, you can learn, experiment, and drive impactful results while expanding your skills in software development practices and tools.

This is the right opportunity for you if you have:

- Strong knowledge of databases, including entities, attributes, and relationships;
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- 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;
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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

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.

 

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G+D Netcetera – Summer Internship 2025

G+D Netcetera’s 2025 Summer Internship Program is now open! Apply today for an opportunity to spend your Summer developing your skills, deepening your knowledge, and gaining practical experience on real projects using the latest technologies - all while receiving guidance from a dedicated mentor and support from experienced colleagues.

G+D Netcetera guarantees:

  • a smooth onboarding process, comprehensive training, and ongoing learning initiatives
  • all the necessary equipment
  • your health, safety, and well-being as top priorities
  • a culture of care, collaboration, and continuous improvement

Additionally, you will join an inclusive and diverse work environment that values the unique contributions of individuals from various disciplines, backgrounds, and lifestyles.

Take the next step in your professional journey by applying for an internship at G+D Netcetera.

1

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

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:

 

 

 

 

IT Management (3 +1+1)

IT Management   (3 + 1 + 1)

1. General Information

Postgraduate studies in Information Technology Management 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 Information Sciences and Computer Engineering - FINKI
  • Study Program Name:   Information Technology 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 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: 2 mandatory courses, 2 elective courses in the field.
  • Second semester: 1 mandatory 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.

Development of advanced skills in planning, design, design, management, testing, and implementation of 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 competenciesQualify with solid management and technical foundation with the ability to include a selected range of broader aspects of Management in Information Technology and the like that will meet the needs of the professional in this field with constant and rapid development.

 

In-depth management knowledge required for effective 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 communication.

Illustrates effective exchange of information, ideas and reasoned proposals.

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 Information Technology Management. & Nbsp;

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

Weekly fund

Semester

ECTS

1  

  CSEW501

 Management Information Systems  *

2 + 2 + 1

winter

6

2  

  CSEW705

  Innovation in ICT   *

2 + 1 + 2

winter

6

3  

 

  Selected from Table 2

 

winter

6

4  

 

  Selected from Table 2

 

winter

6

5  

 

  Selected from Table 2

 

winter

6

  6  

  CSES811

  Entrepreneurship *  

2 + 1 + 2

summer

6

7  

  CSES634

  ICT Project Management *  

2 + 2 + 1

summer

6

8  

 

  Selected from Table 2

 

summer

6

9  

 

  Selected from Table 2

 

summer

6

10  

 

  Elective **

 

summer

6

* If the student has passed the course in his / her undergraduate studies, he / she will have to choose another course from the list of elective courses from the introductory layer (Table 2).

** The course can be selected from the list of electives from Table 2 or from the university list of free electives

Table 2: List of introductory electives

 

Code

Subject

Weekly fund

Semester

ECTS

1  

  CSEW528

User support 

2 + 1 + 2

winter

6

2  

  CSEW505

Software requirements analysis

2 + 2 + 1

winter

6

3  

  CSEW701

Information Systems Analysis and Design 

2 + 2 + 2

winter

6

4  

  CSEW704

Design of integrated systems

2 + 1 + 2

winter

6

5  

  CSEW511

Software design and architecture

2 + 1 + 2

winter

6

6  

  CSEW514

Implementation of Free and Open Source Systems  

2 + 1 + 2

winter

6

7  

  CSEW515

Computer Ethics

4 + 0 + 0

winter

6

8  

  CSEW310

Marketing 

2 + 2 + 1

winter

6

9

  CSES631

Software quality and testing

2 + 1 + 2

summer

6

10

  CSES625

IS development process

2 + 2 + 2

summer

6

11

  CSES612

Electronic & Mobile Commerce 

2 + 2 + 2

summer

6

12

  CSES610

e-Government 

2 + 1 + 2

summer

6

13

  CSES617

Business Process Modeling

2 + 1 + 2

summer

6

14

  CSES606

Geographic Information Systems 

2 + 1 + 2

summer

6

15

  CSES205

Business and Management

2 + 2 + 1

summer

6

16

  CSES628

Service Oriented Architectures

2 + 2 + 2

summer

6

17

  UKIM-I

Selection from University list of free courses

 

 

 

 

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

 

3. Studies
 

Table 1: List of Postgraduate Courses

 

 

Code

Item name

Status

Semester

ECTS

П

А

Л

1

ITMW01

Advanced software project management 

M

winter

6

2

1

0

2

ITMW02

Advanced ICT Innovation and Entrepreneurship 

M

winter

6

2

1

0

3

 

Elective

E

winter

6

 

 

 

4

 

Elective

E

winter

6

 

 

 

5

 

Elective

E

winter

6

 

 

 

6

ITMS01

Advanced Software Requirements Engineering 

M

summer

6

2

1

0

7

 

Elective

E

summer

6

 

 

 

8

 

Master Thesis

M

summer

18

 

 

 

3.1 Elective Courses

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.

Smart connected systems (4 + 1)

1. General Information

 

Postgraduate studies in smart connected systems aim to provide quality and top European education and training to ICT engineers with in-depth knowledge of smart systems connected via the Internet of Things (IoT). Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, programming, management, testing and monitoring of smart IoT systems and work with various types of the latest embedded technologies, including new IoT 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 Studies in Smart Connected Systems
  • 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 smart connected systems

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Building the Internet of Things and Security IX M 6
2 Acquisition and data processing systems IX M 6
3 Smart City IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 Developing IoT applications and IoT platforms X M 6
7 Elective X E 6
8 Master Thesis X M 18

 

The following table shows the electives from the study program

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 PS-I-01   Data Analysis from Related Systems X 6
2 PS-I-02   Sensory data fusion IX 6
3 ПС-E-03   Smart mobility X 6
4 PS-I-04   Smart IoT Contracts IX 6
5 PS-I-05   Smart Energy Networks IX 6
6 PS-I-06   Smart and connected healthcare X 6
7 PS-I-07    IoT for Environmental Systems IX 6
8 PS-I-08   Open & Related Data X 6
9 ПС-E-09   Smart production and monitoring systems X 6
10 PS-I-01   Smart Financial Systems and Stock Exchange IX 6
11 IT-I-01   5G: Fifth Generation Wireless Mobile Systems IX 6
12 IT-I-04   E-business IX 6
13 IT-I-11  Smart Sensor Networks X 6
14 IT-I-13   Network Virtualization and Cloud Computing X 6
15 IT-I-18   Data Science IX 6
16 EС-E-21   Sensor-robotic systems X 6
17 СE-E-01   Time series analysis and forecasting  IX 6
18 EI-Z-03  Implementation of Geographic Information Systems  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 .

Statistics for data analysis (4+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 60 ECTS credits.
  • Duration of studies: 2 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Conditions for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 240 credits.
  • First semester: 3 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester : 1 compulsory and 1 elective course and completed project - master's thesis 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 upon completion of the studies is Master of Information Science - Statistics in Data Analysis

                Master of Science in Informatics - Statistics for Data Analytics

 

2. Studies

Table 2: 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 Masterrska topic X M 18

 

Table 3 shows the electives from the study program Statistics for Data Analysis. 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 3: Optional list of offered items

РБ New code /   Subject Semester ЕКТС
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 .

 

Stonebranch builds dynamic IT automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation, helping organizations achieve the highest possible Return on Automation. No matter the degree of automation, Stonebranch software is simple, modern and secure. Using its universal automation platform, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Alpharetta, Georgia with points of contact and support throughout the Americas, Europe, and Asia, Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions.

The candidate will join our Technology Enabled Services business unit (TES) in Skopje, a DevOps and Digital-Services lab focused on Telco operational needs and in creating innovative value-added solutions based on Stonebranch IT Automation tools and open-source frameworks.

Your Part in this Growth Story:

Stonebranch TES BU is searching for an Application Engineer for Business Supporting Systems and Systems in Billing Domain who’s interested in designing and building amazing and impactful solutions for our customers by being always a creative thinker, self-motivated and passionate in continuous learning.

The position is best suited for candidates eager to learn new technologies and processes especially in TelCo industry.

Your Impact on The Organization:

The Application Engineer is responsible for:

  • Application operation and development of the systems in the domain
  •  Actively participate in implementation of new versions of the systems
  •  Monitoring of the services, Incident management and documentation
  •  Proactively analyze application logs to detect the problem
  • ·Prepare and update technical documentation

What You Will Bring to the Team:

  • BS/MS degree in Computer Science or equivalent experience
  • Business fluent in English (verbal and written)
  • Knowledge of SQL database querying, log analysis, simple code analysis
  • Experience in applying solid IT expertise in application operation and maintenance would be considered as an advantage
  • Experience in working with PL/SQL Oracle and UNIX/Shell Scripting would be considered as an advantage

Why You’ll Love Stonebranch:

  • Competitive compensation
  • Great company culture
  • Regular social events
  • Work in a young, motivated, experienced and international team of top performers
  • Continuous professional development
  • Mobile phone

If you are interested in this position, please send your CV to hr@stonebranch.com.

We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.

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