Program Overview

Master in Data Science & Data Management

The Master in Data Science & Data Management is designed to provide students with the knowledge and skills necessary to analyze and manage large amounts of textual data. The program focuses on the development of methodologies and tools for the use of textual data, which is of strategic importance in today's digital age.

Program Description

The Master in Data Science & Data Management aims to create a profile of Data Scientist & Data Analyst who can analyze diverse human needs, anticipate future scenarios, define strategies, innovate, and support decision-making. The program covers various topics, including data analysis, data management, machine learning, and data visualization.

Course Structure

The Master program consists of eight modules:

1. Analysis knowledge-based and data-driven: This module covers the formalization of interactions through language use and introduces students to theories and models of language analysis.
2. Data privacy, data protection, and ethics: This module focuses on the profile of the Data Scientist and Data Analyst, as well as knowledge of ethical issues, data protection, and privacy.
3. Methodologies for text data analysis: This module promotes the development of competencies in using the M.A.D.I.T. methodology for designing specific analysis objectives and statistical-experimental methods for constructing rigorous and effective analysis plans.
4. Advanced Statistics for Data Science & Machine Learning: This module covers the basics of data collection, data quality, database management, and big data analytics.
5. Data Visualization; Data Curation & Data Management Technology: This module introduces students to the main tools for effective representation and visualization of textual data.
6. Dialogic Data Business Management: This module develops knowledge related to dialogic business process management and textual data management.
7. Dialogic Data Strategy & Decision Making and error analysis for innovation and change: This module focuses on the development of competencies in using textual data for strategy definition and decision-making, as well as error analysis for innovation.
8. Applications in the field of Data Intelligence and Marketing: This module covers applications in social media, justice administration, healthcare, community, sustainability, and laboratory lessons.

Admission Requirements

The Master program is open to individuals who have completed at least a three-year degree in economics, engineering, computer science, statistics, mathematics, psychology, health professions, biology, sociological sciences, communication, philosophy, government and public policy, European and Global Studies, Local Development, law and technology, Computer Science, and linguistics.

Career Opportunities

Graduates of the Master program can work in various fields, including marketing, business, healthcare, politics, and community development. They can operate in public and private entities that manage large amounts of textual data, such as government agencies, universities, research centers, and companies.

Program Details

• Duration: Annual
• Location: Padova
• Language: Italian
• CFU: 60
• Teaching Method: In-person
• Total Contribution: € 5,522.50
• Frequency: 70% attendance required
• Stage/Project Work: 250 hours

Peculiarities of the Master

The Master program has several peculiarities, including:

• The study of Dialogical Process Analysis
• The integration of disciplines, including informatics, statistics, and language observation
• The application of knowledge and competencies in multiple areas, such as business, healthcare, and community development
• The promotion of effective, efficient, and rigorous data management

Graduation

The Master program requires a final verification and the completion of a project work or stage. The graduation ceremony will take place at the end of the program.

Open Badges

The Master program offers Open Badges, which are digital certificates of knowledge, skills, and competencies acquired during the program.

FAQ

• Is a stage or internship required?: Yes, a 250-hour stage is required to observe and develop competencies in text data analysis.
• Are there any forms of financial aid?: The Master program does not offer scholarships.
• Can the Master program be taken online?: The program includes both in-person and online lessons.
• Does the Master program help with job placement?: The program collaborates with a network of entities and professionals and assists students in interfacing with potential employers.