University at Buffalo

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Build applied ML and deep learning skills through an interdisciplinary Engineering Science MS focused on artificial intelligence.

• 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

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.

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

Academic Requirements

• Degree Required: Bachelor's degree in a related quantitative or engineering field (see program FAQ)
• GRE/GMAT: Confirm whether required or waived for the current admissions cycle on UB's graduate application
• TOEFL/IELTS: Required for international students per UB policy