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Data Science and Engineering
Torino Campus, Turin, Italy
# =92QS Subject Rankings
24 monthsProgram duration
5,200 EURTuition Fee/year
YesScholarships
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
At present several scientific and humanistic disciplines make strong use of digital data, mainly in order to analyse decision-making processes. Graduates in "Data science and engineering" play a key role in all these disciplines.
You will become Data Scientists or Data Engineers, professionals with a strong abstraction ability and an interdisciplinary analytical approach. Data Scientists and Data Engineers can manage the entire life cycle of the data analysis process, analyse problem requirements, and collect and store large amounts of data. Data Scientists and Data Engineers are also able to analyse data using mathematical and statistical models and machine learning algorithms, visualize the information and, finally, use the knowledge extracted from data for decision-making purposes. Engineers (Data Scientists and Data Engineers) trained by this degree programme will be able to quickly adapt to the multiple contexts in which they will be involved and to the rapidly evolving data analytics technologies.
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
At present several scientific and humanistic disciplines make strong use of digital data, mainly in order to analyse decision-making processes. Graduates in "Data science and engineering" play a key role in all these disciplines.
You will become Data Scientists or Data Engineers, professionals with a strong abstraction ability and an interdisciplinary analytical approach. Data Scientists and Data Engineers can manage the entire life cycle of the data analysis process, analyse problem requirements, and collect and store large amounts of data. Data Scientists and Data Engineers are also able to analyse data using mathematical and statistical models and machine learning algorithms, visualize the information and, finally, use the knowledge extracted from data for decision-making purposes. Engineers (Data Scientists and Data Engineers) trained by this degree programme will be able to quickly adapt to the multiple contexts in which they will be involved and to the rapidly evolving data analytics technologies.
Admission requirements
Exam Scores
Important Dates
Undergraduate
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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