Grooming Tomorrow's Leader's With Our

Artificial Intelligence &
Machine Learning

Bachelor of Science in Digital Technology & Design Degree Program

The Bachelor of Science in Digital Technology & Design with a concentration in Artificial Intelligence (AI) & Machine Learning (ML) is a futuristic program designed to equip students with the knowledge and skills needed to thrive in the rapidly evolving field of AI and ML. This course comprises of a comprehensive curriculum that focuses on equipping students with the skills and knowledge needed to thrive in the rapidly evolving AI landscape. Through a specialized concentration, students dive deep into Artificial Intelligence and machine learning concepts, algorithms, and applications. Gain hands-on experience with industry-standard tools and technologies while working on real-world projects. Prepare for a rewarding career at the forefront of technology and innovation.

Concentration Courses

Credit Hours: 3
Future trends in machine learning and their impact on society through case studies/use cases. Cross-listed as ISBA 3023.

Credit Hours: 3
Analyzation of AI use cases and completion of both high-level and low-level design.
Prerequisites: Grade C or better in DIGI 3023 or ISBA 3023.

Credit Hours: 3
AI use case implementation using Python programming. Architecting and machine learning as well as Python programming concepts related to AI and machine learning.
Prerequisites: Grade C or better in DIGI 3063 or ISBA 3063.

Credit Hours: 3
Development of AI and machine learning solutions and the practice of various deployment options such as public cloud deployments.
Prerequisites: Grade C or better in DIGI 4023 or ISBA 4023.

Credit Hours: 3
Continuation of ISBA 2033 Programming Fundamentals. Uses language taught from the previous semester in ISBA 2033. Emphasis is on array processing, multiple document applications, database interactivity, and programmer-written functions and classes.

Credit Hours: 3
Mathematics in the context of human-centered design, including sets, algorithms, logic, probability, and statistics. Emphasis will be placed on exploring technologies that involve computational intelligence.

Prerequisites: MATH 1023.

Admissions Requirement

10th, 11th, and 12th Grade Transcripts with a GPA of 2.3/4.0.

High School Certificate with a percentage no less than 77-79%.

Proof of English Proficiency (5.5 IELTS or 61 TOEFL).

Career Paths

Discover the limitless possibilities that await you in the ever-evolving landscape of artificial intelligence and machine learning.

Robotics Engineer

As a robotics engineer, you would design, build, and program robots that use AI and machine learning to interact with the environment and perform tasks. You might work on projects such as autonomous vehicles, drones, and industrial robots.

AI Developer

As an AI developer, your primary focus would be on designing, building, and deploying AI-based systems and applications. This would involve working with a variety of programming languages and tools.

Machine Learning Associate

As a machine learning associate, you would design and build the systems that enable machines to learn from data and make decisions. You might work on projects such as image recognition, natural language processing, and recommender systems.

Data Scientist

As a data scientist, you would use machine learning and statistical methods to extract insights and knowledge from large amounts of data. You might work on projects such as predictive modeling, data visualization, and database management.

Admission Process


Complete the enrollment/application form 


Receive a call for an interview with our admissions team


Our Admission Committee will inform the final decision

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