Explore essential information science principles while gaining the technical and interpersonal skills to apply technology in an ethically responsible way.
The Bachelor of Science in Computer and Information Science, taught in English at John Cabot University in Rome, is designed to provide students with a strong foundation in computational thinking, programming, data management, and problem-solving. The major explores essential Information Science principles related to cybersecurity, information systems, and digital transformation management, while embracing the interdisciplinary nature of the liberal arts education in which it is rooted.
In addition to core computing concepts such as algorithms, database design, and digital project management, the program incorporates courses that explore the ethical, social, and legal implications of technology and Artificial Intelligence. Writing-intensive components and collaborative projects further develop the communication and critical-thinking skills necessary to navigate and lead in complex technological environments. This broad perspective equips graduates with the technical and inter-personal skills necessary to apply technology in a strategic and ethically responsible way, to solve fundamental challenges in business and society.
Our curriculum is designed to provide students with a strong foundation in computational thinking, data analysis, and digital transformation management, combined with the communication and critical-thinking skills necessary to apply technology in a strategic and ethically responsible way. The interdisciplinary nature of the liberal arts education in which the major is rooted is also supported by a large variety of electives that will allow students to explore related disciplines.
A. The Proficiency and General Distribution Requirements of the University (the Mathematics and Science requirement will be satisfied by completing the courses in B).
B. Additional Requirements for the Computer and Information Science Major
C. Core Curriculum
The University requires an overall minimum grade point average of 2.00 in all courses taken, with no more than two grades lower than C- in core courses.
D. Major Electives
Five additional 300-level courses with the prefixes CS, MATH, ECON, MGT, LAW, ACCT, FIN, DMA, ARTDE, BUS.
Of the five, at least two courses must have the CS prefix.
Of the five, up to two can be at the 200-level.
One of the major electives can be replaced by a for-credit internship.
E. General Electives sufficient to give a total of 120 credits.
JCU is committed to making the unique opportunity to study Computer and Information Science in Rome accessible and possible for all students.
It offers a range of financial aid options, including merit-based scholarships, need-based grants, and external funding, to support students in achieving their academic goals. It is proud of its record of awarding JCU scholarships and/or grants to 85% of its students.
The main goal of the major is to prepare students to play an applicative role in a wide range of technology-driven sectors, as well as for interdisciplinary roles that require computational expertise and strategic thinking. The program aligns with modern industry demands, where roles such as Digital Transformation Manager, Computer and Information Scientist, and Data Analyst are among the most sought-after careers in today's job market.
Yes. John Cabot University's Bachelor of Science in Computer and Information Science includes coursework in both data science and artificial intelligence (AI). It provides a broad computing education with AI and data science integrated into the core program.
Beyond basic knowledge of data science and machine learning, some of the AI and data science components that are taught at JCU deal with AI ethics, including bias, fairness, and accountability, and the social and legal dimensions of AI and technology. JCU’s Computer and Information Science courses also offer foundations in statistics and deep learning, providing students with opportunities for hands-on projects using real datasets.
