Oltre 2300 Masters post-laurea in archivio
Ultimo Aggiornamento: il 21/07/2017 alle 16:36

Master in Data Science for Management

Università Cattolica del Sacro Cuore - sede di Milano
Stato attuale: Da Iniziare
Tipologia corso: MasterLivello: 1
Tipologia finanziamento:
Costo:9.000Durata a/mm:0/12
Posti disponibili:20Crediti formativi:
Scadenza:08/01/2018Ammissione:
Inizio:20/01/2018Termine:20/12/2018

Presentazione

The Master in Data Science for Management is a first-level international Master program entirely taught in English.

The program offers a comprehensive training in Business analytics from a problem solving perspective, allowing graduates a competitive advantage in a rapidly expanding and highly rewarding job market.

Didattica

The Master begins in January 2018 and runs until December 2018, on a full-time basis.

Active attendance is mandatory. A minimum of 80% attendance is required.

Classes run from Monday to Friday, 5 hours per day, 9 a.m. - 2 p.m.

Materie

Preparatory Courses

Management - 2 ECTS
Statistics - 2 ECTS

Courses

Data Management and Warehousing - 4 ECTS
The course illustrates how to implement and technically maintain a data warehouse. The focus is on database data design, extraction, profiling and standardization along with data transformation. A detailed analysis of big data quality management is provided.

Software Development and Technologies for Business Intelligence - 5 ECTS
The course focuses on software development and Object Oriented Programming within the Excel framework. Students will gain broad software development skills to be able to independently write procedures and functions to expand and automate data analysis studies and results.

Statistics and Probability (basics) - 6 ECTS
The aim of this course is to deepen the knowledge of inferential methods for empirical research with applications focusing on economics, management and marketing, both at a univariate and multivariate level. Together with the theoretical concepts, data sets derived from empirical research will be analyzed. The open source software environment for statistical computing and graphics R will be introduced.

Management for Digital Enterprise - 7 ECTS
The course illustrates the business characteristics of a Digital Enterprise along with the impact of a Digital Enterprise on the Customer Experience. At the end of the course students will be able to understand the importance of ensuring that Digital Enterprise initiatives have clear business objectives, and identify the relationships of Digital Enterprise with specific enablers (Digital Marketing, Analytics and Customer Relationship Management).

Geospatial Information Management - 5 ECTS
This course will enable students to develop their Data Science capabilities and learn statistical techniques for managing big spatial data sets. Apart from a theoretical section where the procedures are introduced, a substantial part of the course will be devoted to practical laboratories using the software environment R in which the students will apply the procedures to different real datasets.

Text and Web Mining - 5 ECTS
This course focuses on extracting knowledge from the web by applying classification and clustering techniques on hypertext documents. Students are introduced to information retrieval and filtering methods. Practical applications on web information extraction and text categorization are presented.

Data Mining and Pattern Recognition - 6 ECTS
The purpose of this course is to provide step-by-step instructions for the entire data modeling process, with special emphasis on the business knowledge necessary to successfully use statistical models. Moreover, students will be able to select suitable approaches for pattern recognition, and to compare alternative methods in order to implement the best decision process for the problem under study.

Business Intelligence and Data Analytics - 5 ECTS
This course illustrates the usage of data and analytics in modern business activities. The main focus is on Data Warehousing methodology and Database Marketing set-up in a multidimensional framework. Demand Segmentation and Scoring Models will be the practical applications.

Destinatari

The Master is addressed to graduates with a Bachelor or Master of Science degree, or who expect to graduate by the last session of 2016/2017 a.y., in any of the following fields: Computer Science, Economics, Engineering, Management, Mathematics, Statistics, Physical Sciences.

Alternative degrees may be considered under specific circumstances.

Sbocchi

Graduates of this Master program are ideally suited to fill jobs as Big Data Managers across a variety of industries, ranging from ICT to consulting, from banking and finance to insurance. Within companies, Data managers will exploit the ongoing digital revolution delivering analytically-informed solutions to various corporate functions.

Stage

The last four months of the Master program are employed to enhance and apply learning outcomes. Students are expected to either: serve an internship, typically with a partner company, and write a thesis related to their activity; or write and defend a project-oriented Master thesis under the supervision of a scholar.

Costi

The tuition fee is 9.000 euro to be paid as follows:
- 3.000 euro upon admission;
- 3.000 euro by 31st of May 2018
- 3.000 euro by 31st of July 2018

 

Offerte di Lavoro

Laureato/a in biologia, scienze e tecnologie alimentari o affini per stage

Dove: Milano
Inserito: 17 giorni fa

Laureato/a in biologia, scienze e tecnologie alimentari o affini per stage all'interno dell'ufficio tecnico*....

TIROCINIO AREA QUALITA' E SICUREZZA ALIMENTARE 07_17

Dove: Vicenza
Inserito: 13 giorni fa

Sono considerati idonei laureati in Scienze Biologiche, Scienze e Tecnologie Alimentari e Scienze delle Preparazioni Alimentari....

12 posti istruttore edile (geometra architetto ingegnere perito)

Dove: Firenze
Inserito: 9 giorni fa

CLASSE 4 (Scienze dell’architettura e dell’Ingegneria edile) – CLASSE 7 (Urbanistica e scienze della pianificazione territoriale e ambientale) – CLASSE 8...

Demand e Application Specialist

Dove: Milano
Inserito: 19 giorni fa

Laurea in discipline scientifiche, con preferenza scienze informatiche o ingegneria informatica. È necessario avere esperienza di progetti complessi, anche...

TIROCINIO come ADDETTO/A CONTROLLO QUALITÀ (5930)

Inserito: 4 giorni fa

Azienda di Gornate Olona offre la possibilita di ospitare 1 TIROCINIO come ADDETTO A CONTROLLO QUALIT Il la tirocinante imparera ad effettuare il controllo...

XAXIS | Account Internship

Dove: Milano
Inserito: 30 giorni fa

Preferibile Laurea in Economia, Scienze Politiche, Lingue o Scienze della comunicazione. Xaxis combina tecnologia proprietaria e relazioni esclusive con le...

Toscana

Inserito: 16 giorni fa

| | 09/D1 Scienza e | ING-IND/22 Scienza e| |. | | tecnologia dei | tecnologia dei | |. | 1 | 04/A4 Geofisica | dell'atmosfera | tecnologie |....

Veneto

Inserito: 16 giorni fa

Ecologia, presso il Dipartimento di Scienze e tecnologie biologiche. Data di scadenza:....

Tecnologo di processo Junior

Inserito: 16 giorni fa

Tecnologo Alimentare di Processo Junior. Il/la candidato/a che stiamo cercando possiede una Laurea in Scienze e Tecnologie Alimentari o in Ingegneria Chimica ed...

1 NEOLAUREATO/A AMBITO QUALITA' ED AMBIENTE

Dove: Lodi
Inserito: 1 giorno fa

Il/la candidato/a ideale è in possesso di laurea in Scienze e Tecnologie Alimentari o materie affini. Adecco Lodi ricerca 1 NEOLAUREATO/A da inserire in ambito...

Nome
Cognome
Email
Telefono
Testo della Richiesta
Inserisci il Codice di Verifica