About

The Data Science Master's program at the University of Salzburg focuses on advanced data analysis, machine learning, statistics, and computational methods for extracting valuable insights from complex datasets. Students learn how to manage, interpret, and apply data-driven approaches across different industries and research fields.

The program prepares graduates for careers in technology, finance, healthcare, and research sectors. Students can work in data science careers and develop solutions using modern analytical and computational tools.

Key Facts

Program Details

Degree: Master of Science

Location: Austria

Academic Information

Area of study: Data Science & Big Data

Study Format

Study Type: On Campus

Format: Full-time

Language

Program Structure

Semester 1 – Foundations of Data Science

Programming
Statistics
Data Management
Research Methods

Semester 2 – Advanced Data Science

Machine Learning
Artificial Intelligence
Data Mining
Big Data Technologies

Semester 3 – Applied Data Science Research

Data Analytics Projects
Predictive Modelling
Computational Applications
Research Project Development

Semester 4 – Research and Final Project

Advanced Data Science Topics
Data Science Research Project
Professional Applications
Master Thesis / Final Research Project

Career Opportunities

Graduates of the Data Science Master’s program can work in data analysis, artificial intelligence, and business intelligence. With expertise in statistical modeling, machine learning, and computational methods, graduates are well-prepared for careers as data scientists, machine learning engineers, or data analysts. This program provides opportunities in technology companies, financial institutions, research centers, healthcare organizations, and industries using advanced data-driven solutions.

Why Choose This Program

The Data Science Master’s program provides students with a comprehensive understanding of extracting meaningful knowledge from complex and large-scale data. Students gain expertise in statistics, programming, machine learning, and data visualization. The program’s interdisciplinary approach ensures that graduates are prepared for careers in technology, research, finance, healthcare, and business analytics. Graduates are equipped to transform data into reliable insights and innovative solutions.

Contact Information

For further information, please contact the admissions office at:
Phone: +43 662 8044 2252 / 2257 / 2264
Email: applicationforforeignstudents@plus.ac.at
Address: University of Salzburg, Office of Admissions, Kapitelgasse 4, 5020 Salzburg, Austria

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