M.S. in Engineering Science - Artificial Intelligence

The M.S. in Engineering Science (Artificial Intelligence) at UB is a 30-credit hour program, typically completed within 1.5 to 2 years for full-time students. It is designed to provide comprehensive training in areas such as machine learning, AI programming languages, deep learning algorithms, and advanced artificial neural networks that use predictive analytics. The program offers a set of foundational core courses in AI and provides flexibility to choose from various elective concentration areas, including data analytics, computational linguistics and information retrieval, machine learning and computer vision, knowledge representation, and robotics. This structure allows students to customize their learning path to align with their specific career aspirations in the burgeoning AI landscape.

STEM Designated: Yes, the M.S. in Engineering Science (Artificial Intelligence) program at the University at Buffalo is STEM-designated. This classification is highly advantageous for international students, as it allows for an Optional Practical Training (OPT) extension of 24 months beyond the initial 12 months, totaling up to 36 months of work authorization in the U.S. after graduation. This designation underscores the program's rigorous technical and scientific curriculum.

Curriculum: The 30-credit curriculum for the M.S. in Engineering Science (Artificial Intelligence) includes core courses and a range of electives. Core courses typically cover "Fundamentals of Artificial Intelligence," "Introduction to Pattern Recognition," "Introduction to Machine Learning," and "Introduction to Numerical Mathematics for Computing and Data Science." Students can then select electives from a variety of areas to specialize, such as "Deep Learning," "Computer Vision," "AI for Robotics," "Statistical Methods in AI," and "Natural Language Processing." The program emphasizes a strong programming background, and the curriculum is continually updated to reflect the latest industry trends and technological advancements.

Research Focus: The M.S. in Engineering Science (Artificial Intelligence) at UB emphasizes engaging students in cutting-edge research to develop machines and software capable of intelligent behavior. The program's research focus revolves around training students in machine learning, deep learning algorithms, and advanced artificial neural networks that utilize predictive analytics to solve real-world problems. While a thesis is not always a mandatory component, the curriculum often includes applied projects and opportunities to work on advanced topics in AI, robotics, computer vision, and natural language processing. The Institute for Artificial Intelligence and Data Science (IAD) at UB further facilitates interdisciplinary research in computational sciences, providing a vibrant research environment.

Industry Engagement: The M.S. in Engineering Science (Artificial Intelligence) program at UB is highly focused on preparing graduates for high-demand roles in the AI-driven industry. The curriculum incorporates practical applications and marketable techniques, ensuring students are equipped with skills desired by employers. While specific mandatory internships may vary, the program encourages experiential learning and project-based work, often involving real-world problem-solving. Graduates are prepared for a variety of roles in AI-related career paths where employment demand is projected to grow significantly. The program aims to provide students with advanced coursework, research opportunities, and leadership training that opens doors to numerous career opportunities in the tech sector and beyond.

Global Perspective: The M.S. in Engineering Science (Artificial Intelligence) at UB inherently fosters a global perspective by addressing the universal and transformative impact of AI technology across all sectors worldwide. The program's curriculum and research often consider the global implications of AI development, including ethical considerations, societal impacts, and diverse application contexts across different cultures and economies. As a major public research university, UB attracts a diverse international student body and faculty, enriching the learning environment with varied cultural viewpoints and different approaches to solving complex AI problems from around the world. This exposure prepares graduates to contribute to a global workforce that is increasingly reliant on AI and data-driven solutions.

Postgraduate Entry Requirements

Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.

English Language Proficiency:

• IELTS: Overall band score of  6.5 or 7.0 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 90 or higher.
• PTE: Overall score of 61 or higher.
• DET (Duolingo English Test): Minimum score of 120.

The University at Buffalo (UB) offers a variety of scholarships and financial aid opportunities specifically aimed at supporting international students who wish to pursue their studies in the United States. These scholarships are designed to reward academic excellence, leadership, and community involvement, helping to make education more affordable for talented students worldwide.

Merit-Based Scholarships: UB provides competitive merit scholarships to outstanding international undergraduate and graduate students. Awards such as the International Student Academic Excellence Scholarship recognize high-achieving students based on their academic records, standardized test scores, and extracurricular involvement.

Graduate Fellowships and Assistantships: Graduate international students can apply for teaching assistantships, research assistantships, and fellowships which offer tuition remission and stipends. These opportunities allow students to gain valuable teaching and research experience while offsetting the cost of their education.

Departmental Scholarships: Many academic departments at UB offer scholarships tailored to students in specific programs or fields of study. These awards may consider academic merit, research interests, or financial need.

External Scholarships: UB encourages international students to explore external scholarship options from private organizations, governments, and international foundations that support study in the U.S. The university’s International Student Services office provides guidance on identifying and applying for such funding sources.

Graduates with an M.S. in Engineering Science (Artificial Intelligence) from UB are highly sought after for their specialized skills in a rapidly growing and evolving field.

AI Engineer: Design, develop, and implement AI models and systems for various applications, such as intelligent automation, predictive analytics, and decision-making.

Machine Learning Engineer: Build and deploy machine learning algorithms and pipelines, optimizing them for performance and scalability in diverse industry settings.

Data Scientist: Analyze large, complex datasets using AI and machine learning techniques to extract actionable insights and inform strategic decisions for businesses.

Computer Vision Engineer: Develop algorithms and systems that enable computers to "see" and interpret visual data for applications in robotics, autonomous vehicles, and image recognition.

Natural Language Processing (NLP) Engineer: Design and implement systems that allow computers to understand, process, and generate human language for applications like chatbots, sentiment analysis, and machine translation.

Robotics Engineer (AI focus): Develop intelligent control systems and algorithms for robots, enabling them to perceive their environment, learn, and perform complex tasks autonomously.

Research Scientist (AI/ML): Conduct fundamental or applied research in AI and machine learning, pushing the boundaries of the field in academic, government, or industrial research labs.

Algorithm Engineer: Design, analyze, and optimize algorithms for various computational problems, with a strong focus on efficiency and effectiveness in AI applications.

AI Consultant: Provide expert advice to organizations on adopting AI technologies, developing AI strategies, and implementing AI solutions to achieve business objectives.

Business Intelligence Developer (AI-enhanced): Create and manage data warehousing solutions and BI tools, often integrating AI and machine learning to provide deeper insights and predictive capabilities for business operations.