BachelorOn-CampusFull-Time

University of Arkansas–Fort Smith

BS in CS - AI & Data Science Concentration

Fort Smith, Arkansas4 years$39K 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 $38.8K in total tuition, the BS in CS - AI & Data Science Concentration sits roughly 55% below the $86.6K average for AI bachelor's programs in our database — placing it in the 24th percentile on cost among the 232 we track at this level.

Est. Salary$120,000
Job Growth+35%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$39K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

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

About This Program

This computer science degree provides the necessary foundations for a career in artificial intelligence and data engineering. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 4 years.

Estimated total tuition is $38.8K, below the $86.6K average for AI bachelor's 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.

Start Data Scientist career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Software Developer
  • 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 and predict outcomes.
  • Develop data science pipelines for cleaning, processing, and visualizing complex data.
  • Build intelligent systems using neural networks and deep learning frameworks.

Curriculum Highlights

The structure involves modules in data analytics, natural language processing, big data, and advanced machine learning techniques.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

High school diploma or equivalent with a minimum GPA of 2.5-3.0 required; SAT/ACT scores optional for most programs.

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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