Applied AI

Campus Full Time
Delivery
Campus
Study mode
Full Time
Starts
Fall, Spring

Introduction

Applied AI is a program taught at College of Charleston, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Applied AI degree program at the College of Charleston provides an in-depth understanding of artificial intelligence and its application across various industries. Students will explore core topics such as machine learning, natural language processing, and computer vision, equipping them with the knowledge to develop intelligent systems. The curriculum is designed to balance theoretical foundations with practical skills, ensuring that graduates are well-prepared for today’s AI-driven world.

This program typically includes a mix of lectures, hands-on projects, and collaborative research opportunities. Students will engage in case studies that highlight real-world applications of AI, fostering critical thinking and problem-solving skills. The use of state-of-the-art technologies and software in coursework ensures that students acquire both theoretical knowledge and practical experience in building AI models.

By studying at the College of Charleston, students benefit from a vibrant academic environment, located in a city known for its rich history and innovation. The diverse cultural backdrop and the emphasis on community engagement enhance the learning experience, providing students with a holistic education in Applied AI.

Admission Requirements

The minimum requirements for admission in Applied AI at College of Charleston for all applicants (Domestic or International) are:

  • program specific academic requirment set by College of Charleston.
  • English Language OR any other language requirments as set by College of Charleston as pre-requiste for admission in Applied AI.

Note: Please check the university website in the link below.

To enroll in the Applied AI degree program, prospective students should have a strong academic background in related fields, such as computer science, mathematics, or engineering. Typical prerequisites include completion of relevant coursework in programming, statistics, and data analysis. Admission may also require a personal statement, letters of recommendation, and a portfolio demonstrating technical skills.

International students are generally expected to demonstrate proficiency in English through standardized testing such as IELTS or TOEFL. A common requirement could be an IELTS score of around 6.5 or a TOEFL score of 79, but specific scores may vary. It is advisable to check the university's official guidelines for exact requirements.

Courses Units

Please check detail of study units at https://charleston.edu/academics/programs/index.php

More Information

  • Data Scientist
  • Machine Learning Engineer
  • AI Research Scientist
  • Software Developer specializing in AI
  • AI Product Manager
  • Consultant in Technology Strategy

Scholarships

80 fully funded scholarships are listed for USA. See USA scholarships.