Master of Science in Systems Analytics

Data-driven insights and analytics are facilitating and optimizing intelligent decision-making across industries today. Intended to meet the need for professionals who can harness complex data and convert it into meaningful information, the master’s in systems analytics at the School of Systems and Enterprises is providing students with expertise in visualizing, manipulating and extracting important concepts from systems data, and complementing it with traditional systems decision-making. The master’s degree equips students with state-of-the art data visualization and knowledge extraction techniques for the purpose of analyzing trends, assessing risk, discovering patterns, and building decision models that can better develop, maintain and improve complex engineering systems and enterprises.

This master’s degree consists of ten courses* (30 credits): six required core courses and four electives as described below.

*Please note: Course total could equal 11 if the student elects to take the combination of the two FE courses that equals a total of three credits. See the listing below.

Systems Analytics Curriculum

Required Core Courses

EM 622Decision Making Via Data Analysis Techniques

3

Or

SYS 610Modeling and Visualization of Complex Systems and Enterprises

3

SYS 660Decision and Risk Analysis

3

SYS 670Forecasting and Demand Modeling Systems

3

SYS 682Multi-Agent Socio-Technical Systems

3

SYS 611Systems Modeling and Simulation

3

Or

SYS 681Dynamic Modeling of Systems and Enterprise

3

EM 623Data Science and Knowledge Discovery

3

Or

FE 582Foundations of Financial Data Science

2

And

FE 513Financial Lab: Practical Aspects of Database Design

1

Elective Courses

Students are encouraged to take an integrated four-course sequence leading to a graduate certificate for the four electives, or choose the electives from the course catalog. All elective courses must be approved by an advisor. A list of available graduate certificates is included in this catalog and on the School of Systems and Enterprises website.