UOL

BSc Artificial Intelligence

The BSc Artificial Intelligence is a comprehensive three-year program that provides rigorous training in mathematical foundations, logical reasoning, and data engineering.

You will master advanced algorithms, machine learning, and deep learning techniques while exploring key areas such as generative artificial intelligence and responsible AI.

Beyond technical knowledge, the program promotes professional development and practical application through real-world projects, including a final independent AI project focused on researching and developing complex systems.

MODALITY

In person

SCHEDULE

18:00 to 21:00

LANGUAGE

English

What makes it different to the race?

Career bilingual
Certifications Harvard + MIT + ASU
Training in economics + data science
Work-Study from early years
teachers with Doctorates int.
University Campus of 6 hectares

GRADUATE PROFILE

Graduates develop analytical, technical and professional skills that are highly valued by employers. The curriculum covers machine learning, AI algorithms, data science, software management and responsible AI development, preparing students to lead projects and research complex AI systems.

A RECOGNIZED QUALIFICATION AT EVERY STAGE OF YOUR EDUCATION

Upon completing the program, you will earn a BSc degree. If you decide to finish your studies earlier, the University of London officially recognizes the stage you have completed through an intermediate qualification.

A RECOGNIZED QUALIFICATION AT EVERY STAGE OF YOUR EDUCATION

Upon completing the program, you will earn a BSc degree. If you decide to finish your studies earlier, the University of London officially recognizes the stage you have completed through an intermediate qualification.

year 1

CertHE – Certificate of Higher Education in BSc Artificial Intelligence

year 2

DipHE – Diploma of Higher Education in BSc Artificial Intelligence

year 3

BSc – Bachelor of Science (BSc) in BSc Artificial Intelligence

PROGRAM STRUCTURE

  • Computing Principles and Logic
  • Essential Mathematics for Artificial Intelligence
  • Data and Knowledge Engineering
  • Programming for Artificial Intelligence
  • Advanced Mathematics and Data Science for Artificial Intelligence
  • Machine Learning, Software Development and Management
  • AI Algorithms and their Applications
  • Professional Development and Project
  • Advanced Topics in AI and Deep Learning
  • Responsible and Generative AI
  • Research Methods and Experiment Design
  • Artificial Intelligence Project

International Certifications

Harvard University
MIT
Arizona State University

The certifications are part of the journey to academic and not taken as separate programs.

Scholarships and opportunities

Merit scholarship

Subject to academic evaluation and available seats.

Early enrollment benefit

Applies during promotional enrollment periods.