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

Why choose this study programme

Data science is a field that, due to its broad and transformative nature, continuously reshapes various industries. This requires constant adaptation in teaching methods and applications, where elements of business management, information technology, and informatics must be seamlessly integrated. The future lies in achieving the highest possible level of integration between information and data systems on one side and business functions on the other.

Just as engineers use building materials to construct buildings, we use artificial intelligence as a tool to shape the digital world. Artificial intelligence is not just about computer technologies, it’s about crafting user experiences that significantly enhance everyday life.

In this course, you will learn how to transform data into knowledge, design intuitive user interfaces, solve real-world problems and interact with technology in innovative and effective ways.

This is your opportunity to drive innovate and gain a deeper understanding of how artificial intelligence is shaping our society.

What can you gain from the Data Science and Artificial Intelligence study programme?

This program seamlessly integrates business, technology and hands-on experience to prepare you for the next generation of computing careers. You’ll develop the interdisciplinary skills needed to create innovative applications and solve real-world data management challenges, leveraging expertise in information technology and data science.

Curriculum Structure

Gain foundational knowledge in artificial intelligence, machine learning and deep learning, enabling you to understand how computer systems operate and make decisions.
Develop your creative thinking skills to design innovative solutions for tackling complex, real world problems.
Master the art of creating intuitive, functional, and efficient user interfaces that make technology accessible and user-friendly.
Apply your skills to address real-world challenges in fields like healthcare, education, security, and beyond.
Learn to engage with technology in a way that feels natural and intuitive enhancing the connection between people and digital systems.

Algebra, in collaboration with eminent and experienced lecturers, serves as a hub for applied artificial intelligence and invites you to explore the transformative field of data science and artificial intelligence. Through this programme, you will be inspired to create innovative tools and applications that enable society to interact with technology intuitively and seamlessly. This is your opportunity to drive innovation and gain a profound understanding of how artificial intelligence is shaping the future of society.

Careers We Prepare You For:

Studying data science and artificial intelligence will inspire you to build innovative computing tools and applications, empowering people to interact with technology intuitively and effectively. Join us on this journey as we explore how technology is shaping our relationships, organizations and the world around us.

Head of Digital Transformation

A pivotal role in the public or private sector, focused on creating, leading and implementing digital transformation strategies to enhance operational efficiency, foster innovation, and drive organizational growth.

Architect of Intelligent Information Systems

An expert in designing and developing advanced information systems that leverage artificial intelligence and data analytics to deliver smart functionalities and solve complex challenges.

Artificial Intelligence and Machine Learning Specialist

A professional responsible for developing, implementing, and maintaining AI-based algorithms and machine learning models based on artificial intelligence and machine learning to analyse data, derive insights, and enable intelligent decision-making.

Engineer of Intelligent Data Systems

A specialist in designing, building, and maintaining sophisticated data systems that integrate artificial intelligence and machine learning, automating decision-making processes and enhancing business intelligence.

Data Engineer

A crucial role in the organization and processing of data, involving the design development, testing and maintenance of data architectures to enable seamless analysis and integration across various systems.

Module Example

Cognitive Modelling and Simulation

In this module, students gain foundational knowledge in cognitive modelling and simulation within computer systems. The module explores key principles of cognitive modelling and equips students with the skills to design, construct, and evaluate computer models that replicate cognitive processes.

Course Objectives:

  • Understand information-processing mechanisms in the human brain
  • Analyse behavioural, neuropsychological and neuroscientific data
  • Apply techniques to enhance learning in normal cognition
  • Build computer models simulating various cognitive processes.

By the end of the course, students will be able to interpret cognitive phenomena through computational models, bridging the gap between technology and human cognition.

Study type

On campus, Online

Medium of instruction

English, Croatian

Study programme duration

8 semesters (4 years)

Semester duration

15 weeks of active teaching
+ 4 examination weeks

Total number of ECTS points

240

Algebra University Title

univ.bacc.inf.

Bachelor in Data Science and Artificial Intelligence

Certifications obtained during studies

ECDL Start
(4 exams)

IT SMF
ITIL Foundation