Big Data and Management - Major of the Master in Digital and Business Transformation Luiss Business School

The Master in Big Data and Management program at Luiss Business school 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. The Programme is aimed at recent graduates — or those graduating soon — with a Bachelor’s or Master’s Degree in Economics, Statistics, Engineering, Information Systems, Mathematics or related fields.

Specialised Masters Staff - LUISS Business School Website

The Master in Big Data and Management program at Luiss Business school prepares students to work effectively with complex, large-scale, real-world data and to create business value from it.
The curriculum of the Master’s Degree Programme in Big Data and Management is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It trains young professionals who wish to pursue a career as Data Scientists or Business Analysts.

Participants in the programme acquire:

  • skills to collect, process, and extract value from large and diverse data sets;
  • the capacity to work with different computing tools in order to address complex problems;
  • the capability to understand, visualise, and communicate findings to the top management;
  • the ability to create data-driven solutions that boost profits, reduce costs, and improve efficiency.

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%

Next Admission Test

Off campus: February 23/24

Logic test and english test: February 23 from 10:00 a.m.

Personal interview: February 24,  from 10:00 a.m. Please send the required documents 3 days prior to the test date.

Criteri di valutazione delle candidature:
  • Valutazione del cv
  • Test e/o colloquio di lingua
  • Test di logica e/o psico-attitudinali
  • Colloquio individuale motivazionale
Requisiti per essere ammessi:
  • Laurea primo livello
10% Early Bird. Participants who enrol by April 29, 2022 will be entitled to a 10% fee reduction. 5% Early Bird. Participants who enrol by June 24, 2022 will be entitled to a 5% fee reduction.
Costo del master: 16000 Incl. IVA
Sono previste borse di studio
  • 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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        Big Data and Management - Major of the Master in Digital and Business Transformation

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                      • Altre edizioni
                      • Roma - Italia 26 settembre 2022

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                      Provenienza allievi Worldwide:
                      Dettaglio provenienza:
                      Europa
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                      Esperienza professionale:
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                      Età dei partecipanti:
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                      • 26 - 30

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                      Professione Corpo Docente:
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                      * I dati potrebbero essere relativi alla Scuola e non al Master