Master of Engineering in Systems Analytics
Program Overview
The M.Eng. in Systems Analytics from Stevens Institute of Technology equips students with advanced data analysis techniques and systems decision-making skills. The 30-credit program offers 10 courses, including six core courses and four electives from a wide range of offerings. Graduates pursue careers as Data Scientists, Visualization Designers, and Systems Analysts, with a high employment rate and an average salary of $89,300.
Program Outline
Degree Overview:
The Master of Engineering (M.Eng.) Students gain expertise in visualizing, manipulating, and extracting key concepts from systems data, integrating this knowledge with traditional systems decision-making approaches.
Outline:
The Systems Analytics master's program at Stevens is offered both on campus and fully online. The curriculum comprises 10 courses (30 credits): six required core courses and four electives.
Required Core Courses:
- EM 622 Decision Making Via Data Analysis Techniques (3 credits): This course focuses on decision-making processes using data analysis techniques.
- EM 623 Data Science and Knowledge Discovery (3 credits): This course covers data science principles and knowledge discovery methods.
- OREM 626 Applied AI & ML for Systems and Enterprises (3 credits): This course delves into the application of artificial intelligence and machine learning in systems and enterprises.
- SYS 660 Decision and Risk Analysis (3 credits): This course focuses on decision-making and risk analysis techniques.
- SYS 670 Forecasting and Demand Modeling Systems (3 credits): This course covers forecasting and demand modeling techniques for systems.
- OREM 633 Decision Sciences and Data Analytics in Healthcare (3 credits): This course explores decision sciences and data analytics applications in healthcare.
- SYS 682 Multi-Agent Socio-Technical Systems (3 credits): This course examines multi-agent socio-technical systems.
- ORSYS 611 Systems Modeling and Simulation (3 credits): This course covers systems modeling and simulation techniques.
Elective Courses:
Students can choose four elective courses from the course catalog. They are encouraged to take an integrated four-course sequence leading to a graduate certificate. All elective courses require advisor approval.
Careers:
The program prepares graduates for careers in various fields, including:
- Data Scientist
- Visualization Designer
- Research Analyst
- Data Specialist
- Data Visualization Software Engineer
- Systems Analyst
Top Hiring Firms for Systems Analytics Graduates:
- Accenture
- Cisco
- IBM
- JP Morgan
- Lockheed Martin
Other:
The program emphasizes the development of skills and experience in data visualization and applying systems concepts to real-world applications. Graduates gain confidence in working with data and drawing insights, as well as the ability to approach problems with a systems mindset to identify and solve root causes. The program boasts a high employment rate, with 98% of graduates employed within six months of graduation. The average salary for graduates is $89,300.
