Applied Artificial Intelligence
The Applied Artificial Intelligence degree offers you a foundational understanding of AI concepts, data sources, and tools. It emphasizes real-world applications across various disciplines and delves into the methods and components of AI solutions.
Program Overview
Artificial Intelligence is everywhere. In fact, more than 50% of businesses plan to add job positions based on AI integration and digital transformation efforts. Applied AI students develop an in-demand skill set that will help them secure a rewarding career post-graduation.
The Applied AI degree helps you understand core AI principles, algorithms, and models and teaches you how to apply AI techniques to diverse real-world problems. You also learn to evaluate AI’s ethical, social, and legal impacts.
You will collaborate across disciplines, integrating AI insights and solving complex challenges using creative AI solutions. You also attain job readiness through paid, for-credit internships and project-based learning.
Why study Applied Artificial Intelligence
Career Readiness
Artificial Intelligence is a rapidly growing field and employers are seeking to add expertise to their workforce in the years ahead to integrate AI solutions into their products and processes.
Hands-On Experience
CECS partners with industry professionals to ensure students receive hands-on opportunities through internships, co-ops, research, and capstones to prepare them for workforce entry.
Innovative Curriculum
With AI ever-evolving, CECS is dedicated to remaining on the forefront of technology, ensuring graduates enter the workforce with the most current knowledge on AI tools and applications.
In-Demand Skillset
According to Gartner, the number of businesses utilizing AI services grew by 270% between 2015 and 2019. Global AI adoption by organizations is set to expand 37.3% between 2023 and 2030.
Competitive Salaries
The average salary for an AI professional is $110,000. The Bureau of Labor Statistics projects a 15% increase job opportunities utilizing AI between 2019-2029, including positions like AI specialists and machine learning engineers.
Forefront of AI
CECS is dedicated to remaining on the forefront of AI’s ever-evolving usage. Applied AI graduates will enter the workforce with the most current knowledge of AI tools and solutions.
What can you do with an Applied Artificial Intelligence after graduation?
AI is being utilized in practically every type of industry — from healthcare and education to marketing, retail, eCommerce and financial services, to name a few. Here are just a few career opportunities for Applied AI graduates.
Data Analyst
A data analyst may utilize AI to extract insights and patterns from large datasets, automate data processing and enhance the accuracy and speed of analysis. They use AI to predict trends, make data-driven decisions, and provide actionable recommendations.
Natural Language Processing (NLP) Engineer
A Natural Language Processing (NLP) engineer develops and implements algorithms and models that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, language translation, speech recognition, and conversational AI systems.
AI Architect
An AI architect designs and oversees the implementation of AI solutions and systems within an organization, ensuring they align with business objectives and technical requirements. They select appropriate AI technologies, define architecture components, and optimize the infrastructure to support efficient and scalable AI applications.
AI Consultant
An AI Consultant advises businesses and organizations on leveraging artificial intelligence technologies to solve specific problems or improve operational efficiency. They assess client needs, design AI solutions, oversee implementation, and provide strategic guidance on maximizing the benefits of AI adoption.
Featured Courses
Applied AI courses introduce students to the concepts and applications of AI. Curriculum is evolving to keep pace with the changing nature of AI.
AI 101
Introduction to the World of AI
Introduction to foundational concepts, techniques, and applications of Artificial Intelligence relevant for all disciplines – especially across non-computer science fields. Explores the history and current scope of AI, data sources and tools, and fundamental components of AI solutions. Students gain experience through hands-on activities using no-code AI platforms.
AI 201
AI, Ethics, and Legal Frameworks
This course probes the vital junctures of artificial intelligence, ethics, and legal considerations. Throughout their studies, students will explore the ethical challenges posed by emerging AI technologies, understand the societal ramifications of AI decisions, and familiarize themselves with the global legal frameworks that oversee AI applications.
AI 102
Natural Language-based Programming Techniques
Students explore the dynamic world of Natural Language Processing (NLP) and its intersection with programming. The course is designed to provide practical techniques that allow students to manipulate, analyze, and interpret human language through computational methods.
AI 202
Human-AI Interaction and Experience Design
Centered on the user-centric aspects of AI, this course offers students an introduction to the principles and best practices pertinent to human-AI interaction. Students learn about the essentials of user experience (UX) as it relates to AI systems, delve into the strategies for crafting intuitive AI interfaces and discover the nuances of managing user trust and expectations during AI interactions.
Related Programs, Certificates & Minors
CECS offers innovative, customizable majors, minors, and certificates in areas of emerging technology and the skills required by the workforce of the future.
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