Master of Engineering- Systems Analytics

Program Overview

The M.Eng. in Systems Analytics is a 30-credit degree program, typically completed within 1.5 to 2 years for full-time students. The curriculum is structured to provide a solid foundation in core analytics and systems concepts. It comprises six required core courses and four elective courses, offering flexibility for students to tailor their studies to specific interests or career goals. Students are encouraged to pursue an integrated four-course sequence leading to a graduate certificate as part of their electives, allowing for deeper specialization. The program is available both on-campus and fully online through StevensOnline, accommodating a diverse range of students, including working professionals seeking to advance their careers. Stevens boasts exceptional career outcomes for its Systems Analytics graduates, with 98% employed within six months of graduation and a strong mean compensation of $89,300 for the Class of 2023.

STEM-designated: Yes, the Stevens Institute of Technology M.Eng. in Systems Analytics program is unequivocally STEM-designated. This is a significant advantage, particularly for international students. The STEM designation makes them eligible for a 24-month extension of their Optional Practical Training (OPT) in the United States, allowing for a total of up to three years of valuable post-graduation work experience. This designation clearly reflects the program's rigorous quantitative, analytical, and technological focus, which is highly valued by employers in data science, analytics, consulting, and technology-driven management roles.

Curriculum: The 30-credit curriculum provides a deep dive into data analysis, decision modeling, and systems thinking. Required core courses typically include: Data Exploration and Informatics for Engineering Management, Decision Making Via Data Analysis Techniques, Decision and Risk Analysis, Data Science and Knowledge Discovery (or Applied AI & Machine Learning for Systems and Enterprises), Decision Sciences and Data Analytics in Healthcare (or Forecasting and Demand Modeling Systems), and Multi-Agent Socio-Technical Systems (or Systems Modeling and Simulation). Elective courses (12 credits) allow for specialization in areas such as advanced data analytics, machine learning, web analytics, data stream analytics, and big data technologies. The curriculum emphasizes hands-on experience with modern data visualization tools, statistical methods, and computational techniques to solve complex systems problems.

Research Focus: The M.Eng. in Systems Analytics program at Stevens has a strong applied research focus, aiming to leverage data to address complex organizational and technological challenges. While primarily a professional master's degree, the curriculum is infused with research-driven methodologies. Faculty members within the School of Systems and Enterprises engage in research areas such as operations research and management, supply-chain analytics, marketing and web analytics, financial analytics and risk management, collaborative analytics, decision support systems, and Big Data. Students are exposed to pioneering work in information mining, scalable software systems, sensors, and the Internet of Things. Although a formal thesis may be optional, students are trained in advanced analytical techniques for rational decision-making under uncertainty, which are directly applicable to research and development roles.

Industry Engagement: Stevens Institute of Technology places a very high priority on industry engagement for its Systems Analytics program. Its strategic location in the New York metropolitan area provides unparalleled access to a vast network of industries, including finance, healthcare, technology, consulting, and logistics, all of which heavily rely on data analytics. The curriculum is continuously updated to integrate rapidly evolving technologies like generative AI and to meet the latest labor market demands for data professionals. Faculty members often have extensive industry experience, bringing real-world case studies and practical insights into the classroom. Stevens' strong alumni network and robust Career Center facilitate extensive networking opportunities, internships, and co-op experiences, ensuring graduates are well-prepared for roles in the data and analytics landscape.

Global Perspective: Stevens Institute of Technology fosters a global perspective within its M.Eng. in Systems Analytics program through its diverse international student body and the inherently global nature of data and business operations. The university attracts students from around the world, creating a multicultural learning environment that enriches classroom discussions with varied insights into international data governance, global market trends, and cross-cultural decision-making contexts. The skills acquired—such as data visualization, predictive modeling, and risk assessment—are universally applicable across international markets and industries. This global outlook, combined with Stevens' rigorous technical education, prepares graduates to contribute to data-driven solutions and collaborate on multidisciplinary projects that transcend national borders, ensuring they are well-equipped for careers in a globally interconnected professional landscape.