Taught course

Online Artificial Intelligence and Data Science Certificate

Lebanese American University

Entry requirements

A bachelor’s degree and some knowledge of programming and coding is required.

Additional Requirements

To apply for the certificate, applicants need to submit their personal details and outline their prior knowledge and experience:

  • Educational background
  • Languages spoken
  • Work experience

Months of entry

March, June, September, October

Course content

Learn the fundamentals of AI, data science and machine learning and prepare for practical work in the field. Our part-time, asynchronous Artificial Intelligence and Data Science Certificate program can be completed in just six months. The nine credits earned through the certificate program can be counted towards the University’s online MS in Computer Science program. In the program, you'll explore master's-level curriculum taught by experienced and diverse faculty and network with students in the master's program . This part time, fully online program offers three advanced courses designed to teach skills used in the real world: Deep Learning, Artificial Intelligence Principles and Techniques and Fundamentals of Data Science. In these classes, students will explore concepts such as mining data sets, modeling for uncertainty, popular algorithms in machine learning and more.

The program is designed to give students the knowledge needed to begin or advance their careers in the growing field of data analysis and artificial intelligence, preparing graduates to be competitive applicants on the data market.

Information for international students

This course is taught in English and so you must be able to read, write and communicate in English.

Fees and funding

The total estimated cost of tuition for the program is $16,500 USD. This can be paid in full or in installments.

Qualification, course duration and attendance options

  • GradCert
    part time
    6 months
    • Online learningis available for this qualification

Course contact details

Online Admissions Team