Study cover for Data Science for Management
Master On Campus

Data Science for Management

Università Cattolica del Sacro Cuore

12 months
Duration
9000 EUR/year
9000 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master in Data Science for Management from Università Cattolica del Sacro Cuore  offers a comprehensive training in computational and statistical methods for management from a problem-solving perspective. 

Visit the official programme website for more information

Overview

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.  

The Master in Data Science for Management from Università Cattolica del Sacro Cuore has been designed around eight core courses (structured in lectures, labs and seminars) that cover a variety of fields including: database systems and programming, statistics, text and web mining, data analytics and machine learning. Students acquire solid computational and statistical skills to tackle real business problems, exploring a variety of industry-standard tools (such as R, SAS and Python); they will also be offered the opportunity to acquire the «Machine Learning with SAS Viya» certification.

The Master relies on an extensive network of dedicated partner companies and institutions which provide highly professional teaching, real-world case studies and mentoring.  

Our partner companies offer a variety of internship opportunities. These are introduced during a dedicated one-day meeting at the beginning of the second term of the Master programme where companies’ projects are matched with students’ interests and talents.  An internship usually lasts from four and up to six months, and represents a great way to enhance student’s learning, technical skills, as well as team working. If successfully completed, the internship may lead to a job offer; it also represents a valuable experience when searching for a job.

Career prospects

Graduates of the Master in Data Science for Management are ideally suited to fill jobs in the Data Analytics area across a variety of industries, ranging from ICT to consulting, from banking and finance to insurance. 

Programme Structure

Courses Included:

  • Data Management and Warehousing
  • Software Development and Technologies for Business Intelligence
  • Statistics and Probability 
  • Data Visualization 
  • Management for Digital Enterprise 
  • Text and Web Mining  
  • Data Mining and Pattern Recognition

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

60 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • The Master is addressed to graduates with a Bachelor or Master of Science degree in any of the following fields: Computer Science, Economics, Engineering, Management, Mathematics, Statistics, Physical Sciences. Alternative degrees may be considered under specific circumstances. 

Tuition Fee

To alway see correct tuition fees
  • International

    9000 EUR/year
    Tuition Fee
    Based on the tuition of 9000 EUR for the full programme during 12 months.
  • EU/EEA

    9000 EUR/year
    Tuition Fee
    Based on the tuition of 9000 EUR for the full programme during 12 months.

Living costs for Milano

850 - 1450 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

All scholarships are assigned on a merit basis and will be mostly given to students who apply by the priority deadline. Some scholarships may also target specific geographic regions.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science for Management
-
Università Cattolica del Sacro Cuore

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