EMAGISTER CUM LAUDE
EMAGISTER CUM LAUDE
Università Commerciale Luigi Bocconi

Master in Data Science and Business Analytics

Università Commerciale Luigi Bocconi
A Milano
  • Università Commerciale Luigi Bocconi

piú di 9000 €
CORSO PREMIUM
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Informazioni importanti

Tipologia Master
Luogo Milano
  • Master
  • Milano
Descrizione

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.

Strutture (1)
Dove e quando
Inizio Luogo

Milano
Via Roberto Sarfatti, 25, 20136, Milano, Italia
Visualizza mappa
Inizio
Luogo
Milano
Via Roberto Sarfatti, 25, 20136, Milano, Italia
Visualizza mappa

Domande più frequenti

· Quali sono gli obiettivi del corso?

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).

· Quali saranno i passi successivi alla richiesta di informazioni?

If you are interested in attending a 2019/20 AY Bocconi Master of Science Program, find out more about the necessary steps: when to apply; selection process; results; enrollment process for admitted students

· Intended Learning Outcomes

During the Master of Science program, students acquire specific knowledge and skills related to design and management of big databases, Data Science techniques and management (strategic and marketing issues). Through the teaching activities that characterize the course, they develop skills in making judgements autonomously improving their written and oral communication acquiring lifelong learning skills useful for both continuing their studies and their professional futures. Click here to find out more about learning outcomes for the Master of Science in Data Science and Business Analytics and see which courses and teaching activities lead to achieving them.

· Career Opportunities

There currently is a huge demand for graduates in Data Science and Business Analytics on the job market. The possible career paths may be loosely related to the two tracks that characterize the program, namely: data scientist and business analyst. Data scientists are recruited both by research centers within national and international institutions, tech companies and data-savvy companies operating in a wide range of industries that include healthcare, social media, finance, insurance, consulting, public utilities and pharma, just to mention a few. Business analysts are required in any functional area within industrial and service companies in the public or private sector, especially consumer goods manufacturing firms, large retailers, consulting firms and public utilities companies. The program also provides the necessary background for successfully undertaking a PhD program in any of the following fields: Statistics, Applied Mathematics, Operations Research, Computer Science, Business and Management, Economics and Finance. Moreover, graduates may take advantage of business, programming, and statistical skills acquired to start a company in the data-driven economy. The MSc in Data Science and Business Analytics will be offered starting from 2018-2019, therefore placement information is not yet available.

· Bocconi Tuition and Fees

The following are included in the 1st installment: in addition to program fees, the registration fee of € 275.00, the regional tax of € 140.00, fixed stamp duties of € 16.00 and It is also required by the bank an expense of € 3 for MAV generation. Amounts and installments for students enrolled from 2nd year 2018-2019 a.y. can be found to the following web link. Throughout the entire legal duration of the degree program, the amounts due for the registration fee and tuition will be adjusted regarding inflation and any other updates. Moreover, students can benefit from further fee reductions through percentage reductions or evaluation of the particular situation of the family. For Bocconi students who decide to attend a second Master of Science program at Bocconi, a reduction of 40% off the overall cost of tuition and fees is offered. This is equal to exemption from the 2nd payment installment.

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2018

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Cosa impari in questo corso?

Management
e-Business
Data Analysis
Big Data
Business administration
Business plan
Analisi dati
Management aziendale
Business Analytics
Business Strategy
E-learning
Computer science
Statistics
Machine Learning

Programma

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