who is it for
The Master in Artificial Intelligence for Business and Security is mainly designed for
2nd level in Engineering, Computer Science, Mathematics, Physics, Statistics, Economics
Master MAIBS is a graduate programme which allows students to deepen
their knowledge in AI for Business and Security, providing them with a thorough
understanding of the subject and the possible job openings.
The purpose is to
provide a specialized profile on the potential, opportunities and risks of artificial
intelligence applications for business innovation and security. The outgoing profile of
the Master is that of a graduate in STEM or Business Economics, highly qualified, able
to master the themes, trends and potential applications of artificial intelligence and
big data technologies, for the development of innovative solutions and frontier business
in organisations with strong innovative content.
January 2021
Master in Blended Mode
English
3 days of internship, 3 days of lectures
5.000,00 €
The University of Tuscia is located in Viterbo, with campuses in and around its historical centre. Viterbo is the northernmost province of Lazio, in the heart of Italy, located less than 100 km from Rome and just over 200 km from Florence
The University of Tuscia was founded in 1979 and quickly developed into what it is today: the hub of culture and learning in the province, offering courses suited to the requirements of local, national and international students.
Digital Transformation in Business Organizations: from digitalization to smart and lean production
Digital Transformation Vision
Introduction to Artificial Intelligence
Industry 4.0
Data Sources: Web, IoT, ERP, Finance
Data Visualization & BI
Data Modeling, Big Data Analysis and Tools
Data Modeling & Planning
Databases & SQL Language
Non relational Model
Data Extraction & Web Scraping with Python
Machine Learning
Theory of learning
Time series analysis
Supervised algorithm
Unsupervised algorithms
Feature Selection & Model Validation
Google Cloud Technologies & Amazon AWS
Natural Language Processing
Natural Language Processing
Word Embedding
Text classification techniques
Text clustering techniques Language models
Seq2Seq/Attention models
Deep Learning
Feed forward networks
Recurrent neural networks
Convolutional neural networks
Generative adversarial networks
Risks, Privacy, and Ethics of Big Data Governance
Cyber Risk and AI
Reputation & Social Text Mining
GDPR
Challenges and risks of artificial intelligence: bias, bubbles, fakes and deep fakes
Web Reputation
Bubbles
Deep fakes
Amazon AWS
Machine learning applications for cyber secure business innovations
Machine learning for risk detection
Fraud detection
Machine learning and alternative data for financial markets
Anomaly detection
Energy forecasting
Enter your data filling the form online.
Enter your CV with your professional experience and studies
You might have to explain why you would like to participate in the Master and what you expect from this formative experience.
Wait for the email from University for the interviewing process. If you are selected, you will have to undergo an interview in which your eligibility for the course will be decided.
If you will be chosen for the Master you will have to choose whether to accept or not.