Texas A&M University

How this program compares

Budget-wise, $41.9K puts this bachelor's program at the 32nd percentile on cost — roughly 53% below the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive admission. Strong background in mathematics (calculus, linear algebra) and programming is highly advantageous.

About This Program

An undergraduate program providing a strong preparation in computing, science, and mathematics with a 12-hour area of concentration to complement core computer science studies. Coursework concentrates on Computer Vision and Machine Learning. Most students complete it in about 4 years.

Design and implement machine learning models for predictive analytics.

At roughly $41.9K total, Texas A&M University's BA in Computing/BS in Comp. Eng. – AI & ML Track sits below the $89.8K average among AI bachelor's programs we track — the 32nd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in higher than about 73% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Graduates of Texas A&M University's BA in Computing/BS in Comp. Eng. – AI & ML Track most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Computer Vision and Machine Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Apply deep learning techniques to image recognition and pattern analysis.
• Develop AI systems for natural language processing and intelligent agents.
• Analyze large datasets using data mining and statistical methods.

Curriculum Highlights

The curriculum includes core courses in data structures, discrete structures, and linear algebra, with specialized electives in artificial intelligence, cognitive modeling, and robotics.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and companies such as NVIDIA and Tesla in AI-driven industries.

Admissions

Admission to Texas A&M University's BA in Computing/BS in Comp. Eng. – AI & ML Track generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions