Aim & Learning Outcomes

Purpose & Learning Outcomes

The MSc program aims to:

• prepare specialized and highly qualified professionals for employment in public and private sector organizations in the field of Data Science,
• prepare graduates for doctoral-level studies in the same academic field,
• promote research in the field of Data Science.

Learning outcomes and qualifications awarded upon successful completion of the program include:

• understanding the data lifecycle, from collection and cleaning to storage, analysis, visualization, and decision-making,
• ability to use software tools and programming languages appropriate for data science,
• ability to apply and understand machine learning methods and algorithms for decision-making,
• ability to analyze large datasets using algorithms and tools for knowledge extraction,
• experience in solving programming and analytical challenges related to data science,
• application of data science methodologies to real-world problems and domains such as healthcare, financial services, marketing, and cybersecurity.

The above learning objectives and outcomes are designed to provide a comprehensive and multifaceted understanding of data science, preparing students for a wide range of challenges and opportunities in these fields.