The Master in Big Data Management programme prepares students to work effectively with heterogeneous, real-world data, training them to become experts in extracting useful insights for business. It provides a unique blend of information technology, mathematical, analytical, and managerial skills. 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.

Specialised Masters Staff - LUISS Business School Website

  • 00390685225689
  • Master
  • Inglese
  • Full time
  • 12 Mesi

he Master in Big Data Management programme prepares students to work effectively with heterogeneous, real-world data, training them to become experts in extracting useful insights for business. It provides a unique blend of information technology, mathematical, analytical, and managerial skills. 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.Professional Competence

  • Mastering the modern business analytics technique
  • Becoming a data scientist
  • Managing and analysing heterogeneous, real-world data
  • Working with different tools and methods to solve complex problems

For years, LUISS Business School has played a key role in Italy’s economic development and cultural evolution. LUISS Business School has trained world-class leaders sensitive to the values of the market culture and the rules of a modern democracy, and has made important contributions in the fields of Economics, Management, Law and Political Science. LUISS Business School provides a state-of-the art model for advanced education and pursues academic excellence. Our mission is to offer the best education and services to our students. We respond to the needs of the global market and emerging professions and our teaching methods and styles are in line with the best international universities.

Finalità

There is a growing demand for professionals trained to collect data and to use analytics tools to drive business decisions. At the same time, there is a short supply of data scientists in the global job market. The gap between demand and supply of skills is accelerating. While it poses serious challenges for recruiters, it offers enviable opportunity for professionals who have the right skills and training.

Graduates obtain a variety of skills required for a career in predictive analytics, including the ability to analyze large datasets and to develop modeling solutions for decision support. Students also gain a good understanding of the fundamental principles of marketing, finance, customer relationship management along with communication skills to present results to a non-technical business audience.

The Master in Big Data Management is a 12-month programme of intensive training, designed to develop the necessary and unique set of skills required for a successful career in the world of big data and business analytics. The programme is composed of 7 months lecture based and 5 months of Field Project.

Business Process Analytics

The students learn why analytics are key for optimising business processes, which KPIs are relevant for main business processes, how to analyse them and how to create new ones.

  • Marketing Analytics
  • Financial Analytics
  • Hr Analytics

Methods

This is dedicated to provide the students with the methods to define and design Advanced Analytics solutions

  • Econometrics
  • Data Mining
  • Big data Project Management
  • Positioning and Selling Big Data Solutions

Technology: Tools and Techniques

  • 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: 14000 Esente IVA
  • Servizio navetta
  • Tutoraggio
  • Laboratorio
  • Accesso wifi
  • Accessibilità disabili
  • Mensa/Buoni Pasto
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
Richiedi maggiori informazioni a:
Luiss Business School - Divisione di Luiss Guido Carli

Master in Big Data Management

Puoi anche scrivere un messaggio:

* campi obbligatori

Acconsento alla registrazione dei miei dati nel data base Mercurius. I miei dati NON saranno mai ceduti a terzi ad esclusione della scuola contattata. Acconsento a ricevere informazioni sulle opportunità di formazione post-laurea.

Normativa privacy
  • Altre edizioni
  • Roma - Italia 24 aprile 2017

Social stream

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