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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.
Programme 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
5.5+
72+
59+
2 Years
Sep
International
5,200 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Science and Engineering
Torino Campus, Turin, Italy
# =110QS Subject Rankings
24 monthsProgramme duration
5,200 EURTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme 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.
Programme 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
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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