Project Description

Data Science

Systems Engineers are the second most sought-after group of IT experts in Croatia. Should you choose to embark on this career, there is a demanding and challenging multidisciplinary profession waiting for you.

The course program is a perfect choice if you love to think outside the box, come up with solutions to complex problems or simply to create order out of chaos (or is it the other way around).

Upon receiving our diploma, you’ll know everything there is to know about your favorite field of systems engineering. You’ll be able to plan and implement IT solutions and systems that ensure business continuity, manage complex computer networks and manage identity and privacy protection.

You’ll have the answer to all queries from big and small clients.

 

Study program duration 4 semesters (2 years) Semester duration 15 weeks of active teaching + 5 examination weeks Total number of ECTS points 120


Certifications obtained during studies


Title struč.spec.ing.comp. Professional Master of Computer Engineering with sub-specialization in Data Science


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FIRST YEAR

SEMESTER 1

COURSE ECTS HOURS LECTURS PRACTICE
Innovative project 1 5 60 2 2
Negotiation and conflict resolution 4 45 2 1
Data Preparation 6 60 2 2
Data Warehouses and Business Intelligence 6 60 2 2
Introduction to Data Science 3 45 1 1
Disruptive technologies 6 60 2 2
Managing Quality in IT Projects 6 60 2 2

SEMESTER 2

COURSE ECTS HOURS LECTURS PRACTICE
Innovative project 2 5 15 0.4 0.6
Creativity and Critical Thinking 3 45 2 1
Quantitative methods of data processing 6 45 1 2
Machine Learning Methods 4 45 1 2
Security, privacy and ethics of digital data 5 45 1 2
Internet of things 6 60 2 2
Management of Innovation 6 60 1 2

SECOND YEAR

SEMESTER 3

COURSE ECTS HOURS LECTURS PRACTICE
Analytical techniques based on large data sets 6 60 2 2
Innovative project 3 6 15 0.4 0.6
Advanced Machine Learning Methods 6 45 1 2
Management of Information Services 3 45 2 1
Visualisation and analytical software tools 3 45 1 2
Cloud Analysis 6 60 2 2
Structured Analytical Techniques 6 60 2 2

 

SEMESTER 4

COURSE ECTS HOURS LECTURS PRACTICE
Affective Computing 6 60 2 2
Social Network Analysis 6 60 2 2
Graduation Thesis 18 0 0 0

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