University at Buffalo

How this program compares

University at Buffalo's BS in AI and Language Technology lists about $35.4K total tuition — roughly 61% below the $89.8K AI bachelor's average (20th percentile in our data). 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/ACT scores optional but recommended for competitive applicants. Strong background in mathematics (calculus, linear algebra), programming, and computer science encouraged.

About This Program

This interdisciplinary degree merges the study of human language with computer science and artificial intelligence to address modern societal challenges. Coursework concentrates on Natural Language Processing (NLP) and AI Engineering / Applied AI. Most students complete it in about 4 years.

Estimated total tuition is $35.4K, below the $89.8K average for AI bachelor's programs in our database and in the 20th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 68% of the New York programs in our data, where typical tuition runs near $59.9K.

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

Design and implement AI models for natural language understanding and generation.

Career Outcomes

University at Buffalo positions this bachelor track for NLP Engineer careers — typical offers cluster around $120,000. Its focus on Natural Language Processing (NLP) and AI Engineering / Applied AI maps directly to how employers 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. NLP Engineer
• 2. AI Language Model Developer
• 3. Computational Linguist
• 4. Speech Technology Specialist

What You'll Learn

• Design and implement AI models for natural language understanding and generation.
• Apply machine learning techniques to process and analyze human language data.
• Develop language technologies including speech recognition and machine translation.
• Evaluate ethical implications of AI in language applications.

Curriculum Highlights

The program covers foundational AI technologies, linguistics, calculus, and computer science, concluding with a real-world capstone project.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as AI research labs and language tech startups.

Admissions

Admission to University at Buffalo's BS in AI and Language Technology 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: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions