Università Commerciale Luigi Bocconi

MSc in Data Science and Business Analytics

4.8 excellent 16 opinions
Università Commerciale Luigi Bocconi
In Milano (Italy)
  • Università Commerciale Luigi Bocconi

Price on request
PREMIUM COURSE
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Important information

Typology Master
Location Milano (Italy)
Duration 2 Years
Start September
  • Master
  • Milano (Italy)
  • Duration:
    2 Years
  • Start:
    September
Description

Become an expert at data science with this Master in Data Science and Business Analytics, organized by Università Commerciale Luigi Bocconi, that Emagister.co.uk has listed as part of its educational catalogue.

This MSc is designed for students having a strong bent for Computational, Statistical, and Mathematical Sciences and a genuine interest in working with data. Students will be taught cutting edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work.

The program is structured into two tracks sharing a modern quantitative core: Data Science and Business Analytics.

Upon the successful completion of this MSc program, students will have gained the necessary knowledge that makes them professional data scientists and business analysts who can readily contribute to companies, businesses and institutions operating in a data-driven society. They will also have built the required background for pursuing PhD programs in subject areas closely related to Data Science.

Are you interested in this course? If so, you should contact Università Commerciale Luigi Bocconi through Emagister.co.uk right now! The opportunities are on the palm of your hand.

Facilities (1)
Where and when

Location

Starts

Milano (Italy)
See map
Via Roberto Sarfatti, 25, 20136

Starts

SeptemberNow taking bookings

To take into account

· What are the objectives of this course?

Data Science and Business Analytics – taught in English – provides students with the most modern techniques of computational, mathematical and statistical analysis, to analyze large data sets (so-called Big Data), to interpret and communicate results in order to influence the strategic decisions of businesses and organizations where they will work. Specifically, Data Science and Business Analytics’s qualifying goals are: to provide advanced preparation in the areas of the design and management of large databases, applied and theoretical statistics to identify correlations and causations in data to make predictions to complete preparation in the area of Computer Science with advanced skills that allow the statistical skills acquired to be applied in order to influence the decision-making process in public organizations and companies to develop a profile able to combine solid quantitative skills with in-depth knowledge of the corporate dynamics that enable relations with corporate management to influence strategic decisions based on data analysis to develop behavioral skills via ad hoc seminars and via in / out of class activities related to courses, namely skills in communication, in interaction, in addressing complex issues; to develop competencies in understanding ethical and legislative limits related to the use of largescale databases. to promote (besides English, the language of the program) proficiency in another EU language (Italian compulsory for non-native Italian speakers).

· What happens after requesting information?

If you are interested in attending a Bocconi Master of Science Program, we will help you to find out more about the necessary steps: when to apply; selection process; results; enrollment process for admitted students

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Opinions

5.0
excellent
Course rating
100%
Recommended
4.7
excellent
Centre rating

Reviews on this course

D
DANIELA
5.0 23/11/2017
What I would highlight: It is a great place
What could be improved: nothing to improve
Would you recommend this course?: Yes
Did this opinion help you? Yes (0)
M
MIIA
4.5 21/04/2017
What I would highlight: Fantastic experience, wonderful university. Thank you all for being part of this experience
What could be improved: nothing to improve
Would you recommend this course?: Yes
Did this opinion help you? Yes (0)
A
ARACELI
5.0 04/12/2016
What I would highlight: get an apartment with the locals if you can!
What could be improved: nothing to improve
Would you recommend this course?: Yes
Did this opinion help you? Yes (0)
C
Crisnly
4.0 02/12/2016
What I would highlight: I really enjoyed the course in college and I'm happy with the result. Sweetest city indeed!
What could be improved: nothing to improve
Would you recommend this course?: Yes
Did this opinion help you? Yes (0)
N
Nitai Prasad Brioli
4.5 24/06/2016
What I would highlight: Very good University: first-rate professors, modern classrooms and many international students. I highly recommend it.
What could be improved: nothing to improve
Would you recommend this course?: Yes
Did this opinion help you? Yes (0)
See all
Reviews gathered by Emagister & iAgora

Achievements for this centre

2018

How do you get the CUM LAUDE seal?

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 1 years

What you'll learn on the course

Business Strategy
Management
Business Administration
E-business
Data analysis
Statistics
University
Business Plan
Computational
E-learning
Machine Learning
Big Data
Business Analytics
Computer Science
Analisi dati
Management aziendale

Teachers and trainers (1)

Faculty  Members
Faculty Members
teachers and administrators

Course programme

Study Abroad ProgramsExchange Programs

A study abroad experience lasting one term at a top partner university. Our Exchange partners include:

  • IESEG School of Management (France)
  • University of Amsterdam (The Netherlands)
  • University of Warwick (UK)
  • University of Manchester (UK)
  • George Washington University (US)
  • University of Texas (US)
  • KAIST Korea Advanced Institute of Science & Technology (Korea)
  • University of Melbourne (Australia)
Program Structure FIRST YEAR
at Bocconi (Milan)

Main topics:

  • Computer Science
  • Statistics
  • Machine Learning
  • Business Analytics
  • Marketing and Innovation

Data Science track

  • Optimization
  • Computer Science Algorithms

Business Analytics track

  • Natural Language Processing
  • Simulation and Modeling

Students will gain advanced and solid skills in the areas of Computer Science, Statistics, and Business Analytics, and will be introduced to tools and methodologies for collecting, processing, visualizing and analyzing large amounts of data (Big Data).

At the end of the first semester students will choose one of the two tracks: Data Science and Business Analytics. The Data Science track focuses on statistical and computational methods with strong emphasis on algorithms, mathematical optimization, modern stochastic modeling and machine learning. The Business Analytics track focuses on Natural Language Processing, mathematical modeling and simulations, Finance, and Social Network Analysis.

SECOND YEAR
at Bocconi (Milan) and /or abroad
2 electives

Data Science track

  • Stochastic Processes
  • Advanced Machine Learning

Business Analytics track

  • Finance with Big Data
  • Social Network Analysis


Students will also attend seminars for the development of behavioral abilities (e.g. teamwork; assertiveness and managing interpersonal relationships; public speaking; managing relationships in multicultural situations).

Internship (compulsory)
Foreign language (one EU language)
Thesis