University of Arkansas–Fort Smith

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: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission. Related high school coursework in math, programming, or science strengthens applications.

About This Program

This undergraduate program offers a specialized pathway into the fields of automation and big data analysis.

Career Outcomes

Enter Data Scientist career in Cross-Industry AI with deep learning focus

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Apply AI techniques to process and analyze large-scale datasets.
• Develop intelligent systems using algorithms like neural networks and reinforcement learning.
• Evaluate data science pipelines for ethical AI deployment and optimization.

Curriculum Highlights

The academic track covers core themes like deep learning, big data systems, and the application of statistical methods to data.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and companies such as Lockheed Martin in AI systems development.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission. Related high school coursework in math, programming, or science strengthens applications.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)