Sapienza University of Rome

Overview

The Bachelor of Science in Applied Computer Science and Artificial Intelligence at Sapienza University of Rome is a full-time, three-year program designed to equip students with a solid foundation in programming, algorithms, and mathematical methods. This course emphasizes practical applications of these skills in real-world AI and software engineering challenges. Graduates are well-prepared for careers in data science, artificial intelligence, and intelligent systems, as well as for further research opportunities in the field.

• Level: Bachelor (B.Sc.)
• Duration: 3 years (full-time)
• Credits: Typically structured as a 180 ECTS programme
• Delivery: On-campus
• Programme focus: Applied computer science, algorithms, and artificial intelligence
• Language of instruction: English

What you'll study

Typical course areas include:

• Mathematics for computing (e.g., Calculus, Linear Algebra)
• Core computer science (e.g., Programming, Algorithms)
• Systems foundations (e.g., Computer Architecture)
• Applied AI and intelligent systems

Progression through the degree:

• Year 1: Establish mathematical and programming foundations along with introductory algorithmic concepts.
• Year 2: Deepen knowledge in algorithms and systems while beginning to explore applied computing topics.
• Year 3: Focus on advanced applied modules and complete a capstone project component.

Note: The specific curriculum may vary; it is advisable to check with Sapienza for the latest details.

Entry requirements

To apply for this program, candidates must possess a secondary school qualification that grants access to university education in their home country, such as a high school diploma after at least 12 years of education. Admission is contingent upon Sapienza’s evaluation of the applicant’s academic background and eligibility for the program.

Career prospects

Graduates of the Applied Computer Science and Artificial Intelligence program can pursue a variety of career paths, including roles in software development, data analysis, artificial intelligence research, and systems engineering. The blend of theoretical knowledge and practical skills gained during the course prepares students for both industry positions and further academic pursuits in the rapidly evolving field of technology.