Academics

Graduate Certificate in AI in Business

Location: LAU Beirut
Delivery Mode: On-campus
Duration: One year (full-time)
Start term: Fall or Spring
Total Credits: 9

Program Overview

The Graduate Certificate in AI in Business is a focused, stand-alone graduate certificate and professional micro-credential aligned with the MS in Data Analytics (MSDA) curriculum. It is designed to equip participants with the knowledge and skills needed to understand, evaluate, and apply artificial intelligence in business contexts. The certificate emphasizes the strategic use of AI and data analytics to support organizational decision-making, innovation, and responsible technology adoption.

The certificate consists of 9 graduate credits drawn from existing MSDA courses. It is proposed as an in-person, stand-alone certificate offered through the ITOM Department at AKSOB. Students who complete the required 9 credits earn the Graduate Certificate in AI in Business as a stand-alone credential.

The certificate is designed to serve business professionals and graduate learners from diverse backgrounds who seek to develop practical AI literacy without requiring advanced technical expertise. The program focuses on interpreting AI outputs, supporting data-driven decision-making, ensuring responsible AI governance, and integrating AI capabilities into organizational processes.

By offering this stand-alone certificate using existing graduate courses, AKSOB strengthens its graduate offerings in analytics and AI while expanding access to focused, market-relevant professional education in a resource-efficient manner.

Admission

Admission to the Graduate Certificate in AI in Business follows the LAU general graduate requirements. In addition to meeting these standards, applicants must fulfill the following criteria:

Educational Background:

Applicants must hold a bachelor’s of science degree from an accredited institution in a related field. Examples of eligible disciplines include, but are not limited to, business, computer science, business, engineering, mathematics, statistics, or any other quantitative field.

Quantitative and Technical Proficiency:

A strong foundation in quantitative methods is essential. Applicants should have completed coursework in statistics and programming (experience with languages such as Python or R is highly recommended, but not obligatory). Applicants lacking these skills may enroll into a bootcamp to enhance their readiness and performance in courses.

Academic Performance:

A minimum cumulative GPA of 3.2 is required for admission.

Additional Considerations:

While not mandatory, relevant professional experience in data analytics or a related area is highly valued and may strengthen an application. Lack of this professional experience will not lower your chances of being admitted to the Program.

Program Requirements

The Certificate in AI in Business will consist of 9 credits:

All required and elective courses are drawn from existing MS in Data Analytics offerings, ensuring academic coherence and efficient use of institutional resources.

Core Courses (6 Credits)
DAN601 Decision Making with Data 3 credits
DAN614 Data Visualization 2 credits
DAN612 Data and AI Ethics 1 credit
Elective course (3 Credits)
DAN637 AI-Enabled Web and Social Media Analytics 3 credits
BDA825 Artificial Intelligence for Managers 3 credits
DAN630 Special Topics: AI in Business Strategy and Decision Making 3 credits

 

Program Goals and Outcomes

Upon successful completion of this certificate, participants will be able to:

Expected Impact

The program will: