Grooming Tomorrow's Leader's With Our
Artificial Intelligence &
Machine Learning
Bachelor of Science in Digital Technology & Design Degree Program
Artificial Intelligence &
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.
- Practical Experience
- Specialized Concentration
- Endless Career Opportunities
- Technological Advancements
- Ability to develop innovative AI and ML solutions
- Skill of the Future
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
Application
1
Complete the enrollment/application form
Interview
2
Receive a call for an interview with our admissions team
Results
3
Our Admission Committee will inform the final decision
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