Data science is at the point where statistical methodology, computer science, and a large number of application domains converge.
The program trains in data collection, statistical modeling, machine learning, optimization, management and analysis of massive data sets. The program focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and ethical and safety issues that arise in data science.
The Master Degree in Data Science can have a duration of up to 2 academic years, for which a minimum of 12 courses and a thesis must be approved as a final project.
The program design is based on eleven learning outcomes developed through discussions between the computer science and statistics faculty. Each student’s curriculum should address these outcomes.
Some common subjects in the career:
Studies in Different Academic Levels
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