BachelorOn-CampusFull-Time

Webster University

BS in Computer Science - Machine Learning

Saint Louis, Missouri4 years$60K 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 $60K in total tuition, the BS in Computer Science - Machine Learning sits roughly 31% below the $86.6K average for AI bachelor's programs in our database β€” placing it in the 53rd percentile on cost among the 232 we track at this level.

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

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$60K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

Typical admitted student: High school diploma or GED required, with a minimum GPA of 2.75–3.0 preferred. SAT/ACT scores optional; strong performance in math and science courses recommended.

About This Program

This undergraduate degree combines core computer science principles with a specialized emphasis on machine learning and data analytics. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 4 years.

Estimated total tuition is $60K, below the $86.6K average for AI bachelor's programs in our database and in the 53rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Enter Machine Learning Engineer career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Enter Machine Learning Engineer career in Cross-Industry AI with machine learning focus

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Software Developer
  • 4. Computer Vision Specialist

What You'll Learn

  • Design and implement machine learning algorithms for predictive modeling.
  • Analyze and preprocess large datasets for AI training.
  • Build and optimize neural networks for complex pattern recognition.
  • Evaluate model performance using metrics like accuracy and precision.

Curriculum Highlights

The curriculum includes core computer science requirements and emphasis courses in data visualization, R programming, and machine learning for data analytics.

Top Employers

Graduates work at companies like Google, Microsoft, Amazon, and Meta.

Admissions

High school diploma or GED required, with a minimum GPA of 2.75–3.0 preferred. SAT/ACT scores optional; strong performance in math and science courses recommended.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • 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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