Bachelor's Degree in Artificial Intelligence and Computer Science

Beyond Computing: architect the future with Artificial Intelligence.

Elite AI Training

Master Machine Learning and Generative AI through hands-on technical labs.

Career Impact

98% Placement Rate upon graduation, strong global recognition through UK accredited degree and RBS Diploma.

Scholarships up to 30% valid until April 30th

Why study at Rome Business School?

Flexibility

Study following live lectures in streaming on our digital platform plus at your own peace following lectures uploaded daily and available on demand.

International Faculty

Significantly, 90 percent of our faculty combine teaching with active roles in various international market sectors. By combining academic rigor with practical tools, techniques and methodologies, they enrich your education and align your profile with the needs of the job market from day one.

Start Date

October 2026

Methodology

On Campus or Online

Why choose our Bachelor's Degree in Artificial Intelligence?

1. Unmatched Recruitment

Showcase AI skills to recruiters from firms like IBM seeking talent for digital transformation. Gain exclusive access to networking events where your technical abilities meet the high demand of the global technology job market today.

2. Technical Leadership

Master AI prompting and visualization through our InsightX Program with Microsoft to excel as a data expert. These specialized skills prepare you to lead technical teams and communicate complex data insights to executive stakeholders.

3. Bootcamp Advantage

Join our immersive Barcelona bootcamp; alternatively, choose from 13 dynamic hubs like Silicon Valley and China. Expand your professional horizons by experiencing how AI is developed and deployed in the world’s most influential tech hubs.

4. Real Implementation

Solve industry problems with Machine Learning alongside partners like Nvidia for immediate market value. Work on actual corporate datasets to build predictive models, ensuring your coding skills are battle-tested and ready for the industry.

Among our partners

Our company partners, professional headhunters and business mentors work together to help students acquire personal and professional skills to face today’s labor market.

Career and Entrepreneur Services

True Link with Companies

Observe a professional's workday directly in the field so as to gain a greater understanding of the job position and the department and/or division of the company.

What do our students think?

"I was looking for a degree program that went beyond textbooks and projected me into an international context from day one. Thanks to the RBS Bachelor’s, I am expanding my skills by engaging with faculty and students from all over the world. It is the ideal environment for those who, like me, want to acquire a modern and boundless vision of business."

Simone D.C.

"Starting my Bachelor’s degree at Rome Business School was the best decision to build a solid foundation in the business world. I was looking for a stimulating environment that combined theory and practice; in RBS, I found a strongly innovation-oriented approach that is allowing me to develop an analytical mindset ready for global market challenges."

Noemi Latino

Bachelor's Degree in Artificial Intelligence

Program Content

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Year 1

Master secure systems and algorithmic problem-solving to build the mathematical and technical skills essential for global AI success. During this year, you will dive into the core principles of computer architecture and discrete mathematics, providing the logic needed for complex programming. You will learn to design efficient algorithms and understand the importance of cybersecurity in a data-driven world. Through intensive coding bootcamps, students develop a mastery of low-level and high-level languages, ensuring a versatile technical toolkit. This year is designed to transform your analytical mindset, preparing you to handle the rigorous demands of artificial intelligence.

Module 1: Object Oriented Programming | 15 ECTS / 30 UK Credits

Master the full OOP lifecycle—from design and coding to documentation and testing—using professional standards. Apply industry best practices and community-proven approaches to build high-quality, scalable software applications.

Module 2: Secure Computers and Networks | 15 ECTS / 30 UK Credits

Analyze security risks and cryptography to implement systematic protection across computer and network systems. Gain practical expertise in deploying network infrastructure and protocols to ensure secure, real-world functionality.

Module 3: Algorithmic Problem Solving | 15 ECTS / 30 UK Credits

Learn about the maths, algorithms and data structures that are essential for computer science and computer games putting first principles into an applied context.

Module 4: System Design and Databases | 15 ECTS / 30 UK Credits

Master system analysis and visual modeling to translate complex stakeholder requirements into robust, industry-standard designs. Design and implement relational databases using data-modeling techniques to build professional, data-driven information systems.

During the Bachelor's Degree in Artificial Intelligence, students will learn:

Year 3

Focus on deep learning and Cloud Native DevOps, culminating in a major project executing a professional-grade technical AI solution. The final year pushes you to the frontier of technology, covering advanced topics like Natural Language Processing and computer vision. You will learn to deploy AI models using Cloud Native DevOps practices, ensuring your solutions are resilient and ready for global production. The program culminates in a Major Project where you will put theory into practice: this project serves as your professional signature, demonstrating to future employers your ability to lead the entire AI lifecycle, from data ingestion to the final deployment of a market-ready product.

Module 1: AI Ethics | 15 ECTS / 30 UK Credits

Explore the sociotechnical impact of AI and the philosophical tools needed to evaluate the ethical permissibility of autonomous systems. Gain practical skills to operationalize ethical frameworks and value alignment principles for designing socially responsible AI.

Module 2: Applied Machine Learning | 15 ECTS / 30 UK Credits

Study the statistical and probabilistic foundations of machine learning to make accurate inferences from complex data samples. Gain hands-on experience with learning algorithms and neural networks, exploring their practical applications within deep learning.

Module 3: Computing Project | 60 UK Credits

Develop a substantial computing artefact and report while demonstrating full project ownership, from initial research to creative execution. Strengthen professional discipline and critical thinking by evaluating risk, ethics, and sustainability throughout the project lifecycle.

30%

UP TO

Scholarship
valid until April 30th

Language

Italian or English

Year 2

Explore AI frameworks and problem-solving through a collaborative enterprise project designed to meet real-world industry needs. In the second year, the focus shifts toward the application of neural networks and statistical models. You will master industry-standard AI frameworks and libraries to process large datasets and automate decision-making. A central part of the curriculum is the enterprise project, where you will work in multidisciplinary teams to solve challenges provided by our corporate partners. This experience hones your project management skills and teaches you how to align technical AI solutions with business objectives, ensuring you understand the ethical implications of data usage.

Module 1: Web Apps and Services | 15 ECTS / 30 UK Credits

Design dynamic single-page applications and reusable web services using professional frameworks and industry-standard tools. Master enterprise architecture principles and patterns to engineer high-quality software components.

Module 2: Relational and NoSQL Databases | 15 ECTS / 30 UK Credits

Design and implement database solutions using relational and NoSQL technologies to meet specific business requirements. Follow the system development lifecycle to build and deploy server-based applications.

Module 3: Enterprise Project | 15 ECTS / 30 UK Credits

Design and pitch innovative solutions for real-world challenges set by industry partners. Manage the full project lifecycle while evaluating performance, ethics, and sustainability for high-impact business results.

Module 4: Artificial Intelligence | 15 ECTS / 30 UK Credits

Explore fundamental AI concepts and frameworks to design intelligent systems that solve complex business and real-world problems. Implement major algorithms and techniques across diverse applications, including robotics and game design, to enhance efficiency and productivity.