Data Science University of Zagreb

Overview

The Data Science programme at the University of Zagreb is crafted to combine the principles of computer science and statistics, enabling students to address complex data-centric challenges across multiple sectors. As data generation continues to escalate, the demand for adept data scientists has surged, making this programme particularly relevant. Students will acquire a solid grounding in mathematical concepts, statistical modelling, and machine learning techniques, all of which are crucial for tackling real-world data problems.

The University of Zagreb is renowned for its academic excellence and innovative research. The Faculty of Electrical Engineering and Computing (FER) boasts strong partnerships with various industries, providing students with access to cutting-edge facilities and resources. This programme is designed to prepare graduates for the evolving job market, ensuring they are equipped with the skills necessary to succeed in data science roles.

Currently, detailed tuition fee information is not available for this programme. Visit the Fees and Funding section for a breakdown in your local currency.

• Statistical Data Analysis
• Introduction to Data Science
• Fundamentals of Signal Processing
• Machine Learning 1
• Multivariate Data Analysis
• Advanced Algorithms and Data Structures
• Research Seminar
• Elective courses from the profile
• Project
• Diploma thesis

The curriculum is structured to provide a comprehensive understanding of data science, with mandatory and elective courses that cover a wide range of topics essential for a successful career in the field. Students will engage in hands-on projects and research seminars, fostering a practical approach to learning.

Graduates of the Data Science programme can pursue various career paths in industries such as finance, healthcare, and technology. Alumni have found positions in leading companies, where they apply their expertise in data analysis, machine learning, and statistical modelling to solve complex challenges. Job roles may include data analyst, data scientist, and machine learning engineer, among others, reflecting the versatile nature of the skills acquired during the programme.