FIRST LEVEL MASTER
Data Science for Economics, Business
and Finance
We have been selected by the university of milan as a partner of the master and our experts will take care of the courses in the field of deep learning.
FIRST LEVEL MASTER
DATA SCIENCE FOR ECONOMICS, BUSINESS AND FINANCE
We have been selected by the university of milan as a partner of the master and our experts will take care of the courses in the field of deep learning.
60 ECTS
1 YEAR
MILAN
ITALIAN
60 ECTS
1 YEAR
MILANO
ITALIANO
EDUCATIONAL OBJECTIVES
The course aims to train those who intend to master the knowledge acquired at university to the profession of data scientist and to provide an opportunity for training and renewing skills in the field of data science to those who have already entered the world of work. These skills include the ability to analyze and understand the nature of Big Data through modern statistical and computerized artificial intelligence techniques - such as machine learning and data mining - useful for the extraction of meaningful relationships and constituent patterns of data, for the construction of models predictors, the implementation of analyzes on the effects of political, economic or social decisions, the assessment of risks (financial and insurance), the planning of market strategies.
The training course includes lectures and other forms of training, such as laboratories, for a total of 520 hours. An internship period of 250 hours will follow.
The individual courses are available in the “Single Curriculum” section.
Those admitted to the course are required to pay a registration fee of Euro 5,000.00 (including the insurance fee).
LABORATORIES HELD BY AGS:
12H DEEP LEARNING FOR ANALYSIS OF DOCUMENTS
12H DEEP LEARNING FOR ANALYSIS OF TIME SEQUENCES OF ECONOMIC DATA
MASTER COORDINATOR
Manzi Giancarlo
EDUCATIONAL OBJECTIVES
The course aims to train those who intend to master the knowledge acquired at university to the profession of data scientist and to provide an opportunity for training and renewing skills in the field of data science to those who have already entered the world of work. These skills include the ability to analyze and understand the nature of Big Data through modern statistical and computerized artificial intelligence techniques - such as machine learning and data mining - useful for the extraction of meaningful relationships and constituent patterns of data, for the construction of models predictors, the implementation of analyzes on the effects of political, economic or social decisions, the assessment of risks (financial and insurance), the planning of market strategies.
The training course includes lectures and other forms of training, such as laboratories, for a total of 520 hours. An internship period of 250 hours will follow.
The individual courses are available in the “Single Curriculum” section.
Those admitted to the course are required to pay a registration fee of Euro 5,000.00 (including the insurance fee).
LABORATORIES HELD BY AGS:
12H DEEP LEARNING FOR ANALYSIS OF DOCUMENTS
12H DEEP LEARNING FOR ANALYSIS OF TIME SEQUENCES OF ECONOMIC DATA
MASTER COORDINATOR
Manzi Giancarlo
EDUCATIONAL OBJECTIVES
Laboratori tenuti da AGS:
12H DEEP LEARNING FOR ANALYSIS OF TIME SEQUENCES OF ECONOMIC DATA
12H DEEP LEARNING FOR ANALYSIS OF DOCUMENTS
The course aims to train those who intend to master the knowledge acquired at university to the profession of data scientist and to provide an opportunity for training and renewing skills in the field of data science to those who have already entered the world of work. These skills include the ability to analyze and understand the nature of Big Data through modern statistical and computerized artificial intelligence techniques - such as machine learning and data mining - useful for the extraction of meaningful relationships and constituent patterns of data, for the construction of models predictors, the implementation of analyzes on the effects of political, economic or social decisions, the assessment of risks (financial and insurance), the planning of market strategies.
The training course includes lectures and other forms of training, such as laboratories, for a total of 520 hours. An internship period of 250 hours will follow.
The individual courses are available in the “Single Curriculum” section.
Those admitted to the course are required to pay a registration fee of Euro 5,000.00 (including the insurance fee).
MASTER COORDINATOR
Manzi Giancarlo
