Master in Big Data and Management Luiss Business School

The program prepares students to work effectively with heterogeneous, real-world data, training them to become experts in extracting useful insights for business. The master features a project-based approach to learning and encourages the pragmatic application of a variety of different tools and methods to solve complex problems.

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  • 00390685225689
  • Master di primo Livello
  • Inglese
  • Full time
  • 12 Mesi

The Master in Big Data and Management program prepares students to work effectively with complex, large-scale, real-world data and to create business value from it.
It focuses on improving the understanding of customer patterns to increase business and improve profitability.  Working in big data management requires a highly interdisciplinary set of competencies: a deep practical expertise in programming and computer science, a good working knowledge of advanced statistical techniques, a thorough understanding of the business world, and excellent communication skills. Finding this set of competencies in a single person is rare. They need to be developed with the right mix of classroom and field learning.
The curriculum of the Master in Big Data and Management is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It prepares young professionals to pursue a career as a data scientist or a business analyst. Today many companies, including large industries, consulting firms, and marketing specialists are currently on the hunt for these types of professionals.

Finalità

The program enables graduates to undertake career paths in a wide range of organizations including positions such as:

  • Analytics Solution Architect
  • Big Data Architect
  • Business Analytics Manager
  • Chief Data Officer
  • Data Analyst
  • Data Management Consultant

The Master in Big Data and Management is a 12-month programme of intensive training, designed to develop the unique skill set required for a successful career in the world of big data and business analytics.

The curriculum is designed to ensure and support the progressive professional and personal growth of the students. Students will benefit from a productive learning experience made up of lessons, case studies, group work sessions, and a high-level faculty of both academics and professionals.

During the Master, students will receive constant support from Career Service who will help them increase their employability in the labour market and aid them in the search for a curricular internship.

GENERAL MANAGEMENT

  • Economics of Strategy
  • Strategy
  • Accounting
  • Organization and HRM
  • Business Law

CORE COURSES

  • Statistics for Data Science
  • Econometrics
  • Marketing Analytics
  • Advanced Visualizations
  • Machine Learning
  • Data Science Toolkit
  • Big Data Programming Models
  • Python for Finance
  • Programming for Data Analysis I
  • Programming for Data Analysis II
  • Time Series Econometrics
  • Special Topics in Machine Learning
  • Practical Big Data: Business Case

 LEARNING LABS

Learning labs focus on personal development. During the programme, students develop cross-functional and soft skills by attending sessions during which they will: cultivate intellectual flexibility; develop problem solving skills; learn to adapt in diverse situations; refine cross-cultural awareness.

INTERNSHIP

The curricular internship is generally done at the end of the Master and represents an opportunity for students to combine theory and hands-on experience, coming into direct contact with professionals working in the industry. Career Services supports students in their search for internship opportunities, thus helping to broaden students’ career prospects and giving them the possibility to acquire the necessary work experience, increasing and improving their skills and expanding their business network.

  • Aula internazionale
  • Lezioni in lingua straniera 100%

Il processo di selezione si articola in:

  • Valutazione del CV;
  • Somministrazione di test;
  • Colloquio motivazionale individuale;
  • Colloquio in lingua inglese.
Criteri di valutazione delle candidature:
  • Valutazione del cv
  • Test e/o colloquio di lingua
  • Colloquio individuale motivazionale
Requisiti per essere ammessi:
  • Laurea primo livello
Numero massimo di studenti ammessi: 30
Costo del master: 16000 Esente IVA
  • Servizio navetta
  • Laboratorio
  • Accesso wifi
  • Accessibilità disabili
  • Mensa/Buoni Pasto
  • Attività culturali
Il Career Service si pone come alleato degli allievi nella definizione delle strategie di carriera e favorisce l’incontro tra studenti e aziende o istituzioni, sia pubbliche che private, ai fini dell’attivazione del Field Project. Durante tutto il programma il Career Service offre:Field Project, che rappresenta un’opportunità per gli studenti per mettere in pratica le competenze acquisite durante il corso ed è parte essenziale del programma formativo.

  • Job posting
  • Book e/o database dei diplomati
  • Sondaggio occupazionale ex-allievi
  • Risorse multimedia: links/e-books
  • Sportello dedicato
  • Assessment tool (punti di forza, match con aziende, attitudinietc.)
  • Risorse per avvio start up
  • Inoltro cv alle imprese
  • Opportunità internazionali
  • Presentazioni aziendali
  • Careerday
  • Stesura CV
  • Individuazione aziende per stage
  • Seminari di orientamento
  • In-company training
  • Tecniche di job hunting
  • Preparazione al colloquio
  • Affiancamento nei contatti con le aziende
  • Monitoraggio qualità del tirocinio
Attivita legate alla Community Alumni:
  • 0
  • Associazione ex-allievi
  • Presenza su social network
  • Ex-allievi nel corpo docente
  • Incontri con ex-allievi
  • Tavole rotonde
  • Reunion
  • Sondaggi
  • Annuario
  • Accesso a servizi bibliografici
  • Newsletter
  • Blog/Gruppi di discussione
  • Directory degli ex-allievi
  • Business e sport club
  • Convenzioni per corsi executive
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        Master in Big Data and Management

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                      • Altre edizioni
                      • Roma - Italia 21 settembre 2020

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                      Provenienza allievi Worldwide:
                      Dettaglio provenienza:
                      Europa
                      25%
                      45%
                      30%
                      %
                      %
                      Italia
                      20%
                      30%
                      50%
                      %
                      %
                      Sesso:
                      50%
                      50%
                      Esperienza professionale:
                      SI40%
                      NO60%
                      Età dei partecipanti:
                      • Sotto 25

                        25%
                      • 26 - 30

                        50%
                      • 31 - 35

                        25%
                      Totali:
                      6
                      Professione Corpo Docente:
                      55%
                      Professionisti
                      25%
                      Consulenti/liberi professionisti
                      20%
                      Manager
                      * I dati potrebbero essere relativi alla Scuola e non al Master