University at Buffalo

How this program compares

At an estimated $24K in total tuition, the MS in Engineering Science (Artificial Intelligence) sits roughly 44% below the $42.9K average for AI master's programs in our database — placing it in the 32nd percentile on cost among the 394 we track at this level. It runs on a full-time, part-time schedule (on-campus).

Admission Snapshot

Typical admitted student: UB's graduate school materials describe the AI-focused Engineering Science MS as suited to students with engineering, computer science, mathematics, or physical science preparation, with solid programming background (coursework or documented experience). Non-engineering bachelor's holders may be considered; requirements and bridges should be confirmed on the current graduate application checklist.

About This Program

The Engineering Science MS at the University at Buffalo includes a track focused on artificial intelligence. UB describes it as a multidisciplinary program spanning machine learning, programming, deep learning, and neural networks applied to real-world prediction problems, housed in the School of Engineering and Applied Sciences. Most students complete it in about 1.75 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.

Apply machine learning and deep learning workflows to real datasets and deployment constraints.

Estimated total tuition is $24K, below the $42.9K average for AI master's programs in our database and in the 32nd 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 77% of the New York programs in our data, where typical tuition runs near $59.9K.

Career Outcomes

Graduates of University at Buffalo's MS in Engineering Science (Artificial Intelligence) most often target Machine Learning Engineer roles, where reported compensation runs around $125,000. Its focus on Deep Learning and Machine Learning 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. Machine Learning Engineer
• 2. AI Software Engineer
• 3. Applied Scientist
• 4. Robotics / Intelligent Systems Engineer

What You'll Learn

• Apply machine learning and deep learning workflows to real datasets and deployment constraints.
• Use programming tools and frameworks common in production AI pipelines.
• Explore elective pathways in vision, language technologies, robotics, or analytics depending on concentration choice.
• Communicate model behavior, limitations, and evaluation methodology to technical stakeholders.

Curriculum Highlights

According to the University at Buffalo Graduate School catalog listing, the program requires 30 credit hours and typically takes about 1.5–2 years full or part time. Coursework emphasizes machine learning, programming for AI systems, deep learning algorithms, and neural network methods for predictive analytics, with elective concentrations such as data analytics, computational linguistics and information retrieval, machine learning and computer vision, and knowledge representation and robotics.

Top Employers

Graduates in UB engineering and AI-related programs are hired by firms in cloud, finance, logistics, and research—including national employers that recruit from the Northeast tech corridor; verify placement through UB’s official outcomes or career services.

Admissions

Admission to University at Buffalo's MS in Engineering Science (Artificial Intelligence) generally expects a bachelor's degree in a related quantitative or engineering field (see program faq). Plan for the GRE, which this program lists as confirm whether required or waived for the current admissions cycle on ub's graduate application. 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 (verify on Graduate School application)
• Letters of Recommendation: Typically required—confirm count in current cycle
• Resume / CV: Required
• Transcripts: Official transcripts required
• English proficiency: International applicants see UB Graduate School policy

Frequently Asked Questions