Politecnico di Torino

Overview

The MSc in Data Science and Engineering at Politecnico di Torino equips students with the essential skills to become proficient engineers in both data science and data engineering. The program emphasizes the design and implementation of data-driven solutions, covering a wide range of topics from data management and modeling to machine learning, visualization, and decision support.

• Level: Master’s (MSc)
• Focus: Data science, data engineering, machine learning, optimization, and decision support
• Delivery: On-campus (Italy)
• Language of instruction: Please confirm with the university
• Credits / duration: Please confirm with the university
• Tuition fees: Please confirm with the university
• Intake / start dates: Please confirm with the university

What you'll study

The curriculum is structured around core courses that provide a solid foundation in data management, statistical modeling, large-scale computation, and decision-making, complemented by hands-on lab experiences. Course offerings may vary, allowing students to engage in relevant and current topics.

• Data management and visualization
• Data science lab: processes and methods
• Computational linear algebra for large-scale problems
• Statistical methods in data science
• Decision making and optimization
• Information Theory and Applications

Applied learning: The program integrates lab-oriented activities that enable students to practice comprehensive workflows, encompassing problem definition, data handling, modeling, and interpretation.

Capstone / final assessment: Details about the final project or thesis are not specified. Typically, MSc programs include a final assessment; please verify this on the official Politecnico di Torino program page.

Entry requirements

Specific GRE or GMAT score requirements are not indicated for this program. Additionally, GPA thresholds are not detailed. Prospective students should consult the university for precise admissions criteria.

Career prospects

Graduates of the MSc in Data Science and Engineering are well-prepared for a variety of roles in data science and engineering sectors. The program equips students with the analytical and technical skills required to excel in industries that demand data-driven decision making, including technology, finance, healthcare, and more. With the growing importance of data in the modern economy, career opportunities are abundant for those who complete this program.