CertificateOn-Campus, OnlinePart-Time

South Dakota Mines

Graduate Certificate in AI and Data Science

Brookings, South Dakota4 years$6K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $6.0K in total tuition, the Graduate Certificate in AI and Data Science sits roughly 48% below the $11.4K average for AI certificate programs in our database β€” placing it in the 24th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000 AI Engineer
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
4 years
Est. Tuition
$6K total
Format
On-Campus, Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, engineering, or statistics with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be preferred.

About This Program

This 12-credit online or on-campus graduate certificate provides professionals with foundational and applied skills in machine learning and data analytics to extract insights from large datasets. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Estimated total tuition is $6.0K, below the $11.4K average for AI certificate programs in our database and in the 24th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

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

  • 1. Data Scientist
  • 2. AI/ML Engineer
  • 3. Data Analyst
  • 4. AI Research Specialist

What You'll Learn

  • Apply machine learning algorithms to real-world datasets for predictive modeling.
  • Design and implement AI systems using neural networks and deep learning frameworks.
  • Analyze large-scale data using statistical methods and big data tools.
  • Address ethical considerations in AI development and deployment.

Curriculum Highlights

The curriculum focuses on foundations of data science, statistical learning, and applying data science to business, the petroleum industry, and earth resources.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as consulting firms and government research agencies.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, engineering, or statistics with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be 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+)

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