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About the course
The programme in Data Science for Management offers a comprehensive training in computational and statistical methods for management from a problem-solving perspective.
Students are taught by both academics and professionals employed in dynamic companies dealing with data analysis, prediction and evidence-based decision making.
Learning objectives
The programme’s ambitious goal is to empower students with technical as well as soft skills which are increasingly required by companies around the world to cope effectively with the digital revolution and develop new business opportunities. In this way, graduates of the programme will have access to a rapidly expanding and highly rewarding job market.
Entry Requirements
Completion of at least an undergraduate degree, obtained after a minumum of 3 years of study (180 ECTS):
- EU citizens: The undergraduate degree must be obtained before the start of the programme.
- Non-EU citizens: The undergraduate degree must be obtained at least two months prior to the start of the programme.
Università Cattolica will evaluate candidates’ academic and personal background and decide if they meet the specific conditions for admission to the chosen graduate programme.
Fees
€ 9.000
Register your interest for this programme
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Scholarships
Scholarship amounts vary according to program; please check individual page tuition fees & costs. They all consist of tuition fee reduction and are open to EU and NON EU students alike.
Value of Scholarship(s)
varies according to program
Eligibility
Students that submit the application form completed, paid the application fee (€75), and are interviewed on Skype (where required-depends on program), are automatically considered.
Application Procedure
Simply click "yes" on the relevant section of the online application form. Submit the application form within the first 3 deadlines of the program. No separate application or documents are needed; however, there may be a Skype interview for shortlisted candidates. Successful candidates will learn of the outcome via email.