Baker College
BS in Computer Science – AI Concentration
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 $54K in total tuition, the BS in Computer Science – AI Concentration sits roughly 38% below the $86.6K average for AI bachelor's programs in our database — placing it in the 45th percentile on cost among the 232 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants typically need a high school diploma or equivalent with competitive GPA (3.0 or higher preferred) and standard test scores (SAT/ACT often optional for many institutions). Some programs may require foundational coursework in mathematics and computer science.
About This Program
This concentration focuses on the mechanics of machine learning and neural networks, exploring how computers learn and the resulting impact on the modern workforce. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.
Estimated total tuition is $54K, below the $86.6K average for AI bachelor's programs in our database and in the 45th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Launch Machine Learning Engineer career in Cross-Industry AI with coursework covers supervised focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.
Career Outcomes
Launch Machine Learning Engineer career in Cross-Industry AI with coursework covers supervised focus
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI/ML Solutions Architect
What You'll Learn
- Design and implement machine learning models using supervised and unsupervised learning techniques
- Apply statistical analysis and linear algebra to solve complex AI problems
- Evaluate AI systems for bias, fairness, and ethical implications in real-world applications
- Develop practical AI solutions for industry domains including computer vision, natural language processing, and autonomous systems
Curriculum Highlights
Coursework covers supervised and unsupervised machine learning, artificial narrow and general intelligence, image processing, and the development of AI-powered business tools like chatbots and recommendation engines.
Top Employers
Top employers in AI include Google, Microsoft, Amazon, IBM, Meta, OpenAI, and major technology consulting firms.
Admissions
Applicants typically need a high school diploma or equivalent with competitive GPA (3.0 or higher preferred) and standard test scores (SAT/ACT often optional for many institutions). Some programs may require foundational coursework in mathematics and computer science.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: 0–2
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor of Science
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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