South Dakota State University

How this program compares

At an estimated $31.3K in total tuition, the BS in Computer Science - AI and Machine Learning Specialization sits roughly 65% below the $89.8K average for AI bachelor's programs in our database — placing it in the 15th percentile on cost among the 186 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 2.5-3.0 required; SAT/ACT scores optional but recommended for competitive admission.

About This Program

An ABET-accredited undergraduate program that combines core computer science theory with a specialized focus on designing, implementing, and evaluating AI-driven solutions across various domains. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Budget planners should note $31.3K estimated total tuition (15th percentile among AI bachelor's programs, below the $89.8K average). That makes it one of the more affordable options for students weighing return on investment.

It is one of 9 AI-related programs we track in South Dakota, of which about 78% offer an online option. On price, it comes in higher than about 78% of the South Dakota programs in our data, where typical tuition runs near $22.8K.

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

Implement machine learning models for predictive analytics and pattern recognition.

Career Outcomes

Graduates of South Dakota State University's BS in Computer Science - AI and Machine Learning Specialization most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Implement machine learning models for predictive analytics and pattern recognition.
• Design and optimize AI algorithms using data structures and statistical methods.
• Apply deep learning techniques to real-world problems like image recognition and natural language processing.
• Evaluate AI systems for ethical implications, bias, and responsible deployment.

Curriculum Highlights

The structure blends core programming, algorithms, and data structures with specialized coursework in machine learning, intelligent vision systems, and multimodal learning frameworks.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and companies in data analytics and automation sectors.

Admissions

Admission to South Dakota State University's BS in Computer Science - AI and Machine Learning Specialization generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions