Program Overview

Program Overview

The DATA INTELLIGENCE AND DECISION-MAKING STRATEGIES program is a Master's degree course with the following details:

• ID: 04560
• Course type: Master
• Academic year: 2022/2023
• Degree level: M2
• Length: Annual
• Tuition fee: 6000
• CFU: 60

Program Description

The program aims to enrich the skills of managers and executives by providing them with data analysis tools and support for decisions, currently identified with the term "Analytics." It also gives indications for their practical insertion into real business processes. The program forms professionals with multidisciplinary skills capable of managing the acquisition and management of company data and Big Data, and building models that add value to the decisions of companies, institutions, and individuals.

Educational Goals

The program's educational goals include:

• Providing new Analytics for data-driven decision-making, both methodologically and informatically, through the use of platforms and software such as Python, Hadoop, CPLEX, R, Qlik, Tableau, and Knime.
• Optimizing managerial decisions through the use of modern Prescriptive Analytics, Data Analysis, and Business Intelligence tools, with particular reference to marketing, customer management, resource allocation, forecasting, and project management.
• Learning, using, and integrating Machine Learning and Data Mining tools and techniques, managing, analyzing, and synthesizing knowledge from Big Data through the use of distributed systems such as Hadoop and Spark.
• Contributing to the formation of Data Scientists, for which there is a predicted high demand in the market.

Scholarships

AGOS Ducato SPA is financing 3 scholarships to cover 50% of the Master's program cost, with the following criteria:

• The scholarships are assignable to female students.
• They will be assigned based on merit, ISEE declaration, and age.
• They are exclusively financed by Agos.
• They are not assignable to dependent workers of a financial institution/bank (including Agos).

Program Details

For detailed information about the program, including objectives, learning outcomes, tuition fees, and other educational details, refer to the published documents:

• Ordinamento: Includes objectives, learning outcomes, tuition fees, and other educational details.
• Piano Formativo: Includes access requirements, selection tests, teaching staff, didactic activity plans, and modalities of delivery.
• Come iscriversi: Provides instructions on how to apply for admission and pay the tuition fee.

Department and Faculty

The program is part of the Faculty of Information Engineering, Computer Science, and Statistics, located in Rome, Italy. The department is Scienze statistiche.

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