BachelorOn-CampusFull-Time

University of Arkansas–Fort Smith

BS in Computer Science - AI & Data Science

Fort Smith, Arkansas4 years$26K 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 — see our methodology.

How this program compares

At an estimated $26.4K in total tuition, the BS in Computer Science - AI & Data Science sits roughly 70% below the $86.6K average for AI bachelor's programs in our database — placing it in the 10th percentile on cost among the 232 we track at this level.

Est. Salary$120,000 Machine Learning Engineer
Job Growth+23%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$26K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), AI Engineering / Applied AI

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

About This Program

A comprehensive computer science degree focusing on the rapidly evolving fields of AI and data analysis. Coursework concentrates on Natural Language Processing (NLP) and AI Engineering / Applied AI. Most students complete it in about 4 years.

Estimated total tuition is $26.4K, below the $86.6K average for AI bachelor's programs in our database and in the 10th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Launch Data Scientist career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Career Outcomes

Launch Data Scientist career in Cross-Industry AI with machine learning focus

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

What You'll Learn

  • Design and implement AI algorithms for pattern recognition and decision-making
  • Apply machine learning techniques to analyze large datasets
  • Develop data science pipelines for predictive modeling and visualization
  • Build intelligent systems using neural networks and deep learning frameworks

Curriculum Highlights

Typical themes include machine learning, natural language processing, internet of things, computer graphics, and advanced data analytics.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and companies such as IBM and NVIDIA.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive admission.

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+)

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