Columbus State University

How this program compares

Columbus State University's MS in Applied Computer Science - AI and Machine Learning lists about $10.1K total tuition — roughly 76% below the $42.9K AI master's average (3rd percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.

At roughly $10.1K total, Columbus State University's MS in Applied Computer Science - AI and Machine Learning sits below the $42.9K average among AI master's programs we track — the 3rd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in cheaper than about 62% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and implement machine learning models for classification, regression, and clustering tasks.

Career Outcomes

The MS in Applied Computer Science - AI and Machine Learning at Columbus State University (Columbus, Georgia) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Deep Learning and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

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

Curriculum Highlights

The structure involves a core computer science curriculum followed by specialized coursework in machine learning, neural networks, and data analytics.

Top Employers

Top employers in AI and machine learning include Google, Microsoft, Amazon, Meta, OpenAI, and major technology firms across finance, healthcare, and autonomous systems sectors.

Admissions

Admission to Columbus State University's MS in Applied Computer Science - AI and Machine Learning generally expects a master of science (ms). Plan for the GRE, which this program lists as gre recommended (particularly for quantitative reasoning). Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions