M.S. in Accounting and Analytics
The Master of Science in Accounting and Analytics at Stony Brook University offers a co...
M.S. in Artificial Intelligence
Stony Brook, New York
INTAKE: Winter
Program Overview
Stony Brook University’s M.S. in Artificial Intelligence is an interdisciplinary graduate program designed to provide students with a robust understanding of AI technologies and their applications across various domains. The program combines foundational knowledge in computer science with hands-on experience in machine learning, robotics, and data analytics. Graduates are prepared to tackle complex AI problems, innovate within the field, and contribute to AI-driven advancements in industries like healthcare, finance, and technology.
Curriculum: The curriculum offers a strong foundation in the core principles of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. Students engage in both theoretical and practical coursework, with options to specialize in areas such as data mining, robotics, or intelligent systems. The program offers flexibility with both thesis and non-thesis tracks, allowing students to choose the path that best suits their career goals.
Research Focus: Stony Brook University is at the forefront of AI research, and the M.S. in Artificial Intelligence program leverages this by offering students the opportunity to collaborate on groundbreaking research. Faculty members conduct research in cutting-edge fields such as autonomous systems, AI ethics, reinforcement learning, and human-computer interaction. Students can participate in these research projects, gaining valuable experience that bridges academic theory and real-world applications.
Industry Engagement: The program emphasizes industry collaboration, providing students with access to internships, workshops, and networking opportunities. Stony Brook’s connections with leading tech companies, startups, and research institutions help students build professional networks and gain practical experience in AI applications. The university also facilitates partnerships with local industries for AI-driven research, enabling students to work on real-world challenges.
Global Perspective: Stony Brook University fosters a global perspective in its M.S. in Artificial Intelligence program by attracting a diverse student body and encouraging international collaborations. Students are exposed to global AI developments through research, seminars, and exposure to AI applications worldwide. The program prepares graduates to work in global environments, addressing challenges and implementing AI solutions that impact industries and communities globally.
Location
Stony Brook, New York
Score
IELTS 6.5
Tuition Fee
USD 33914
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 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
Stony Brook University offers a variety of scholarship opportunities for international students, helping them manage the costs of their education. While U.S. federal financial aid is not available to international students, there are merit-based scholarships and other financial resources that can help reduce tuition fees and living expenses.
Graduate Scholarships: Graduate international students may also be eligible for various scholarships and assistantships within their academic departments. These awards are often based on academic performance, research interests, or teaching potential. Some graduate programs may offer full or partial tuition waivers, along with stipends for research or teaching assistant positions. International graduate students should check with their specific department or program for details on available scholarships and assistantships.
External Scholarships: In addition to the scholarships offered by Stony Brook University, international students are encouraged to explore external funding opportunities. Many organizations, government agencies, and private foundations offer scholarships and grants to international students who wish to study in the United States. Students can research scholarship opportunities through their home country’s government, non-profit organizations, and international scholarship programs. Some popular external scholarships include the Fulbright Program and the United Nations Scholarships.
Scholarships for Specific Countries or Regions: Stony Brook University also participates in various international partnerships and programs that offer scholarships to students from specific countries or regions. These scholarships may be designed to foster collaboration between Stony Brook and institutions abroad, with an emphasis on enhancing global relations.
Graduates of the M.S. in Artificial Intelligence program at Stony Brook University have diverse career opportunities across industries where AI plays a crucial role in innovation and decision-making.
Machine Learning Engineer: Developing and implementing machine learning models and algorithms to analyze data, improve automation, and optimize systems across various industries such as tech, finance, and healthcare.
Data Scientist: Utilizing statistical and computational techniques to analyze large datasets, uncover insights, and inform decision-making in business, research, and technology sectors.
AI Research Scientist: Conducting advanced research in AI fields like natural language processing, computer vision, and robotics, working in academic, government, or private research labs to push the boundaries of AI technology.
Robotics Engineer: Designing and building intelligent robots for use in manufacturing, healthcare, and service industries, incorporating AI to improve automation, functionality, and decision-making capabilities.
AI Software Developer: Creating AI-powered software applications and systems, from self-learning algorithms to intelligent chatbots, contributing to the development of AI tools for businesses and consumers.
AI Consultant: Advising companies on how to incorporate AI technologies into their business strategies, helping them optimize processes and develop AI-driven products and services.
Natural Language Processing (NLP) Engineer: Developing systems that enable machines to understand and process human language, working in areas like chatbots, language translation, and sentiment analysis.
Business Intelligence Analyst: Applying AI and machine learning techniques to analyze business data, identifying trends, and helping organizations make informed decisions that improve operational efficiency.
Computer Vision Engineer: Specializing in the development of AI systems that enable machines to interpret and process visual data, which is applied in areas like autonomous vehicles, surveillance, and healthcare diagnostics.
