M.B.A. in Business Administration
The Stevens MBA program offers various formats to cater to diverse student needs, inclu...
M.S. in Applied Artificial Intelligence
Hoboken, New Jersey
INTAKE: Jan & Sept
Program Overview
The M.S. in Applied Artificial Intelligence is a 30-credit-hour program, typically completed within 1.5 to 2 years. It consists of a mathematical foundation course, four core courses, three concentration-specific courses, and a choice between project work/elective or a 6-credit thesis. The program's flexible structure, available both on-campus and 100% online, makes it accessible to a diverse student body, including working professionals seeking to upskill or transition into AI-focused roles.
STEM-designated: Yes, the Stevens Institute of Technology M.S. in Applied Artificial Intelligence program is STEM-designated. This is a significant advantage, particularly for international students. The STEM designation makes them eligible for the 24-month Optional Practical Training (OPT) extension in the United States, allowing for a total of up to three years of valuable post-graduation work experience. This designation underscores the program's rigorous quantitative, scientific, and technological focus, which is highly valued by employers in the AI and tech industries.
Curriculum: The 30-credit curriculum builds a strong foundation in AI principles and their applications. It begins with a mathematical foundation course (3 credits). Core courses (12 credits) delve into topics like machine learning theory, algorithms, deep learning techniques, data engineering processing skills, and Python for data-intensive applications. Students then choose three concentration courses (9 credits) from specialized areas such as Artificial Intelligence in Design and Construction, Biomedical Engineering, Computer Engineering, Data Engineering, Electrical Engineering, Mechanical Engineering, Software Engineering, and Systems Biology. The program culminates with either 3 credits of project work (with a co-requisite for a zero-credit course) and a 3-credit elective, or a 6-credit thesis. This structure ensures a blend of theoretical understanding, practical skills, and specialization in high-demand AI application areas.
Research Focus: The M.S. in Applied Artificial Intelligence program at Stevens has a strong applied research focus. It prepares students to develop a solid background in the theoretical foundations and algorithm development in AI and deep learning, coupled with an understanding of various engineering applications. Students are immersed in a hands-on learning environment, engaging with real-world projects and applications relating to machine learning, deep learning, image processing and computer vision, autonomous robotics, smart health, biomedical engineering, financial engineering, and more. The Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary center, further amplifies this research focus, engaging over 100 faculty members from various academic units in AI and machine learning research, often in collaboration with industry and government partners to solve complex global problems.
Industry Engagement: Stevens Institute of Technology places a strong emphasis on industry engagement, leveraging its strategic location near New York City, a hub for numerous tech companies. The curriculum is constantly updated to reflect the latest industry trends, ensuring graduates acquire in-demand skills in areas like generative AI. Students gain hands-on experience with cutting-edge technologies and applications, preparing them to enter careers in various engineering fields requiring advanced AI knowledge. The university's strong network of alumni and its connections with leading tech companies like Google, Facebook, Amazon, Microsoft, and Bloomberg provide extensive opportunities for internships, networking, and career placement. The program boasts an impressive 100% employment rate within three months of graduation for its Class of 2023.
Global Perspective: Stevens Institute of Technology fosters a global perspective within its M.S. in Applied Artificial Intelligence program through its diverse student body and the universal applicability of AI technologies. The program attracts students from various countries, creating a multicultural learning environment that enriches discussions and broadens perspectives on global AI challenges and solutions. The curriculum itself addresses AI applications across a wide range of engineering domains that have international relevance, such as intelligent communication networks, autonomous robotics, and smart health. This global outlook, coupled with the program's strong technical foundation, prepares graduates to contribute to AI advancements and address complex problems on an international scale.
Location
Hoboken, New Jersey
Score
IELTS 6.5
Tuition Fee
USD 46048
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 74 or higher.
- DET (Duolingo English Test): Minimum score of 110.
Stevens Institute of Technology offers a variety of scholarships specifically designed to support international students, helping to make a world-class education more affordable and accessible. These scholarships recognize academic excellence, leadership potential, and contributions to the campus community.
Merit-Based Scholarships: Stevens provides competitive merit scholarships for international undergraduate and graduate students based on academic performance, standardized test scores, and other achievements. These awards can significantly reduce tuition costs and are automatically considered during the admissions process for many programs.
Need-Based Financial Aid: While limited, some need-based aid options are available to international students. Applicants are encouraged to provide detailed financial information to be considered for such assistance.
Graduate Fellowships and Assistantships: International graduate students may be eligible for fellowships, research assistantships, or teaching assistantships, which offer tuition waivers and stipends. These opportunities not only provide financial support but also valuable hands-on experience in research and academic work.
Special Scholarships: Stevens occasionally offers specialized scholarships targeting students from certain countries, underrepresented fields, or those pursuing specific disciplines like engineering, business, or cybersecurity. Prospective students should check the official Stevens website or contact the admissions office for current scholarship opportunities.
A Master of Science (M.S.) in Applied Artificial Intelligence from Stevens Institute of Technology, located in Hoboken, New Jersey, is a highly sought-after STEM-designated program designed to develop advanced AI professionals.
AI Engineer: This is a primary role, involving the design, development, and deployment of AI-powered systems and applications. Graduates work on building intelligent software, integrating AI models into products, and optimizing AI system performance across various industries.
Machine Learning Engineer: Specializing in machine learning, these professionals develop, implement, and fine-tune machine learning algorithms. They are responsible for data preprocessing, model training, evaluation, and deployment, often working on predictive analytics, recommendation systems, or autonomous vehicles.
Data Scientist: Leveraging their strong foundation in data engineering, machine learning, and statistical analysis, graduates collect, clean, analyze, and interpret large datasets. They extract actionable insights, build predictive models, and communicate findings to drive data-driven decision-making.
Computer Vision Engineer: With coursework in image processing and computer vision, graduates develop algorithms and systems that enable computers to "see" and interpret visual data. This is crucial for applications in autonomous vehicles, robotics, surveillance, and medical imaging.
NLP (Natural Language Processing) Engineer: Focusing on the interaction between computers and human language, NLP engineers develop systems that can understand, interpret, and generate human language. This is vital for chatbots, voice assistants, sentiment analysis, and machine translation.
Robotics Engineer: Graduates with an interest in autonomous systems can work on designing, building, and programming robots that leverage AI for perception, navigation, and decision-making in manufacturing, logistics, healthcare, and exploration.
AI/ML Research and Development (R&D) Engineer: For those inclined towards innovation, this role involves exploring new AI theories, algorithms, and applications. They conduct experiments, publish findings, and contribute to the advancement of AI technology in corporate R&D labs or research institutions.
Embedded AI Engineer: With skills in integrating AI into hardware, these engineers develop AI solutions for embedded systems and IoT devices. This is crucial for creating "smart" devices, wearables, and industrial automation.
AI Solutions Architect: These professionals design the overarching architecture for AI systems, ensuring scalability, efficiency, and integration with existing infrastructure. They bridge the gap between business needs and technical AI solutions.
AI in X Specialist (e.g., AI in Healthcare, AI in Finance, AI in Design & Construction): Given the program's unique concentrations, graduates can specialize in applying AI within specific domains. For example, in healthcare (for smart health, biomedical engineering), finance (for financial engineering), or design and construction (for optimizing building processes and smart cities).
