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Master's in AI
On-Campus, Online

Columbus State University | MS in Applied Computer Science - AI and Machine Learning

  • Columbus


About This Program

This program focuses on new technologies and practical applications, allowing students to specialize in the rapidly evolving fields of artificial intelligence and machine learning.

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What You'll Learn
  • Design and implement machine learning models for classification, regression, and clustering tasks
  • Develop deep learning architectures including convolutional and recurrent neural networks
  • Apply NLP techniques to process and analyze text data
  • Deploy and optimize ML systems for production environments and real-world applications
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Applied Computer Science with a specialization in AI and Machine Learning is a 30-credit graduate program focused on developing advanced skills in machine learning algorithms, deep learning, and AI applications for real-world problem-solving.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Supervised and Unsupervised Learning Models 5. Applied Machine Learning for Data Science 6. ML Capstone Project or Advanced Topics in ML
Program Specializations:
Deep Learning
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0. Prior coursework in programming, data structures, and linear algebra is typically required or recommended.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: GRE recommended (particularly for quantitative reasoning)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Lead as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $125,000 AI/ML Research Scientist: $130,000 Data Scientist (ML-focused): $115,000 AI Systems Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
21%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers in AI and machine learning include Google, Microsoft, Amazon, Meta, OpenAI, and major technology firms across finance, healthcare, and autonomous systems sectors.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 10,110
Format
On-Campus, Online
Specializations
Deep Learning
Machine Learning
Official Resources
Program Website
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