No. 1 quality assurance system in Croatia
Creating a digital future in Croatia for 25 years
Institutional exchange agreements with more than 100 institutions
96% of alumni employed 3 months after graduation
In addition to mandatory courses, students must choose one group of elective courses from the following available options:
| Module | ECTS | Lectures | Tutorials | Type |
| Innovative project 1 - Product or services ideation and planning | 8 | 15 | 0 | Mandatory |
| Creativity and critical thinking | 3 | 30 | 15 | Mandatory |
| Quantitative methods and modeling | 4 | 30 | 30 | Mandatory |
| Programming in Python | 5 | 15 | 30 | Mandatory |
| Data warehousing and business intelligence | 5 | 30 | 30 | Mandatory |
| Module | ECTS | Lectures | Tutorials | Type |
| Advanced mobile programming | 5 | 15 | 30 | DEV1 |
| Advanced application development based on templates | 5 | 15 | 30 | DEV2 |
| Data engineering | 5 | 30 | 30 | DS1 |
| Module | ECTS | Lectures | Tutorials | Type |
| Social network analysis | 6 | 30 | 30 | Mandatory |
| Innovative project 2 - Product or services development | 6 | 6 | 9 | Mandatory |
| Data analytics in cloud computing | 4 | 30 | 30 | Mandatory |
| Intro to DevOps | 4 | 15 | 30 | Mandatory |
| Module | ECTS | Lectures | Tutorials | Type |
| Advanced information system interoperability | 5 | 15 | 30 | DEV1 |
| Advanced programming paradigms | 5 | 15 | 30 | DEV2 |
| Computer vision fundamentals | 5 | 15 | 30 | DEV1 |
| Secure coding | 5 | 15 | 30 | DEV2 |
| Structured analytic techniques | 4 | 30 | 30 | DS1 |
| Introduction to machine learning | 6 | 30 | 30 | DS1 |
| Module | ECTS | Lectures | Tutorials | Type |
| Big data analysis techniques | 4 | 30 | 30 | Mandatory |
| Innovative Project 3 - Go to market strategies | 6 | 6 | 9 | Mandatory |
| Advanced machine learning | 6 | 30 | 30 | Mandatory |
| Cyber security management | 4 | 30 | 30 | Mandatory |
| Module | ECTS | Lectures | Tutorials | Type |
| Affective computing | 6 | 30 | 30 | DS1 |
| Rapid development of Java applications using frameworks | 5 | 15 | 30 | DEV2 |
| Advanced client side scripting | 5 | 15 | 30 | DEV1 |
| Optimization algorithms based on evolutionary computation | 5 | 15 | 30 | DEV2 |
| Applied DevOps | 5 | 15 | 30 | DEV1 |
| Data visualization - Techniques and tools | 4 | 30 | 30 | DS1 |
| Module | ECTS | Lectures | Tutorials | Type |
| Final thesis | 30 | 0 | 0 | Mandatory |
Dual Degree award
Study programme duration
4 semesters (2 years)
Semester duration
15 weeks of active teaching
+ 4 examination weeks
Total number of ECTS points
120
Goldsmiths, University of London Title
Algebra University Title
Professional Master in Computer Engineering, sub-specialization in Data science
Certifications obtained during studies
IT SMF
ITIL Foundation
Introduction to Programming Using Python
Tableau Desktop Qualified Associate
