MASTER IN BIG DATA AND MANAGEMENT a Roma

LUISS BUSINESS SCHOOL

Sede da definirsi
12 mesi
Data da definirsi

The Master’s Degree Programme in Big Data and Management prepares students to work effectively with heterogeneous, large-scale, real-world data and trains them to become experts in using business insights.

The Master’s Degree Programme in Big Data and Management focuses on improving students’ understanding of the customer journey in order to increase business possibilities and improve profitability.  Working with big data requires a highly interdisciplinary set of competencies: deep expertise in programming and computer science, good working knowledge of advanced statistical techniques, a thorough understanding of the business world, and excellent communication skills.

All these skills need to be developed with the right mix of classroom and field learning. 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.

Diploma and ECTS

The Master in Big Data and Management is a one-year Master of Science equivalent to “Master Universitario di I livello” in accordance with the Italian university system. It provides students with at least 60 ECTS – European Credit Transfer and Accumulation System. At the end of the Programme, the Master’s Diploma “Master Universitario di I livello” will be conferred to participants who have passed exams or others assessment tests envisaged in the study program.

Target audience of the Master’s Degree Programme in Big Data and Management

The Master’s Degree Programme in Big Data and Management 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.

Career prospects

The programme puts students on career paths in a wide range of organisations in positions such as:

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

The curriculum of the Master’s Degree Programme in Big Data and Management is designed to ensure and support the progressive professional and personal growth of students who benefit from a productive learning experience: lessons, case studies, group work sessions, and a high-level faculty comprised of both academics and professionals.

During the Master’s Degree Programme, students receive constant support from the Career Service Office that helps them increase their employability and find a curricular internship.

Induction week

The induction week is an introductive week to the Master’s Degree Programme in Big Data and Management during which students can settle in and familiarise themselves with life on campus. Ice-breaking labs, seminars, workshops, and presentations allow students to meet their classmates and get a better idea of the services offered by Luiss Business School, as well as curricular and extracurricular activities.

General management

General management courses aim to give all students the necessary business management foundations in order to better understand new concepts that will be introduced during the core and advanced courses. The general management courses provide students with an overview is highly useful upon entering the job market.

  • Strategy
  • Accounting
  • Organisation & HR Management
  • Business Law
  • Economics of Strategy

Core courses

The core courses introduce students to industry-focused concepts that are specific to this major. These courses provide students with the key principles and skills they need to better understand their chosen sector.

  • Data Science Toolkit
  • Programming for Data Analysis 1
  • Statistics for Data Science
  • Econometrics
  • Python for Finance
  • Big Data Programming Models
  • Programming for Data Analysis II

Advanced courses

The advanced courses provide students with an in-depth perspective on specific aspects of international business, adopting a more practical approach.

  • Machine Learning
  • Time Series Econometrics
  • Marketing Analytics
  • Advanced Visualisations
  • 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 to cultivate intellectual flexibility, develop problem solving skills, learn to adapt in diverse situations and refine cross-cultural awareness.

Internship

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

Direction and Coordination Scientific Director

Giuseppe F. Italiano, Full Professor of Computer Science, Luiss Guido Carli University

Scientific Committee

Paolo Boccardelli, Dean, Luiss Business School

Luca Pirolo, Head of Master’s Programmes, Luiss Business School

Massimiliano Calogero, Partner, KPMG Advisory S.p.A.

Walter Ruffinoni
, CEO, NTT DATA Italy

Paolo Spagnoletti, Associate Professor of Information Systems and Organisation, Luiss Guido Carli University

Flavio Venturini, Innovation Director, ICONSULTING

Next Admission Test

Off campus:  February 2/3 and 23/24. Logic test and english test: February 2 and 23,  from  10:00 a.m.

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

Direction and Coordination Scientific Director

Giuseppe F. Italiano, Full Professor of Computer Science, Luiss Guido Carli University

Scientific Committee

Paolo Boccardelli, Dean, Luiss Business School

Luca Pirolo, Head of Master’s Programmes, Luiss Business School

Massimiliano Calogero, Partner, KPMG Advisory S.p.A.

Walter Ruffinoni, CEO, NTT DATA Italy

Paolo Spagnoletti, Associate Professor of Information Systems and Organisation, Luiss Guido Carli University

Flavio Venturini, Innovation Director, ICONSULTING

Learning labs

Learning labs focus on personal development and are tailored to specific focuses. Students develop cross-functional and soft skills by attending sessions during which they cultivate intellectual flexibility, develop problem solving skills, learn to adapt to diverse situations and refine cross-cultural awareness.

Employability Lab

The lab aims to help students to further develop the ten key skills outlined by the World Economic Forum 2020. The lab is organised in collaboration with Luiss Business School’s Career Service Office.

AdVenture Lab

This lab aims to create an entrepreneurial framework and to allow students to put what they have learnt in class into practice. Students learn basic mechanisms that allow them to launch a new business by means of a business plan. The lab provides students with useful insights to lay out a business idea, create a business plan, draft a marketing and fundraising campaign, and define the organisational structure.

Social, Environmental and Impact Lab

This lab sensitises students to current global issues related to sustainability. Students analyse business cases and present creative and innovative solutions that consider social, economic and environmental impact. Students then come up with solutions that to decrease the impact on a social, environmental and economic scale.

Creativity Lab

This lab allows students to develop and acquire new skills using their creativity. The lab helps participants to create a work environment that values individuals by increasing personal motivation and favouring integration with other group components in order to obtain better results.

Digital Skills Lab

The Digital Skills Lab increases students’ comprehension of the organisational impact that the digital era has on businesses.

Project Management Lab

The lab aims to provide the vocabulary and basic knowledge of the Project Management field in order to effectively contribute to various aspects of the planning and execution of a project. Furthermore, the lab highlights the critical success factors of a project. The lab gives students basic knowledge of Project Management concepts, highlighting the fundamental differences between a project and a programme. Students study the five group processes for the management of a project.

How-to-Present Lab

This lab gives students the presentation tools necessary for the world of business. The lab is divided into four sections: personal branding, writing with impact, public speaking & pitching.

 

Copyright "LUISS BUSINESS SCHOOL"

RICHIEDI INFORMAZIONI

© 2001-2022 CorsiDiFormazione.it Tutti i diritti riservati. Termini d'uso | Privacy | Cookie Policy
Media Proxima srl - Sede legale: Corso Massimo d'Azeglio 8 - 10125 Torino
Capitale sociale: Euro 10.000 - Codice Fiscale e Partita I.V.A.: 10013210017 - Iscrizione al Registro delle Imprese: n. R.E.A. di Torino: 1098631