College of Charleston

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is typically required; relevant programming experience or coursework in data structures and algorithms is often preferred.

About This Program

This program focuses on leveraging AI platforms to develop data-driven solutions and enhances professional skills in machine learning and analytics.

Career Outcomes

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI

• 1. Machine Learning Engineer
• 2. AI Data Analyst
• 3. AI Ethics Consultant
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for data-driven predictions
• Apply deep learning techniques to image and language processing tasks
• Evaluate AI systems for bias, ethics, and fairness
• Develop intelligent agents using search algorithms and reinforcement learning

Curriculum Highlights

The curriculum integrates mathematics and computer science with specialized training in data mining, deep learning, and trust-centered AI.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as research labs and AI startups.

Admissions

A bachelor's degree in a STEM field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is typically required; relevant programming experience or coursework in data structures and algorithms is often preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)