Master of Science - Data Science and Analytics - Engineering Analytics Concentration

Bradley’s 34-hour data science and analytics graduate program teaches you the skills you need to analyze and process large and complex data. With our engineering analytics concentration, you’ll learn to identify issues, formulate mathematical or algorithmic models, and solve problems arising from engineering and supply chain applications.

Preparing You For Success

Bradley’s graduate engineering analytics concentration prepares you to be a scientific decision-maker in engineering and supply chain roles. The interdisciplinary program provides fundamental data science and analytics knowledge, like database management systems, statistics and business analytics. You’ll apply these processes to solve problems related to product design, process design, manufacturing execution, inventory management, production planning, quality control and economic analysis of engineering decisions.

By the time you graduate, your experiences may include:

  • Learning descriptive, predictive and prescriptive analytical skills
  • Developing data-driven, scientific decision-making skills for engineering and supply chain problems
  • Designing and optimizing complex engineering and supply chain systems
  • Leading research projects and internships
  • A semester-long capstone research project

Making Your Mark

Bradley’s master’s degree program in data science and analytics prepares you for professional careers in the field or further study and research. As an engineering analytics concentration graduate, you’ll have the data-driven decision-making skills to excel in various engineering and managerial roles. You can apply these skills across numerous industries for product design, manufacturing, wholesale, logistics and more.

Graduate Program Requirements


  • One semester of programming class or numerical analysis
  • Two semesters of calculus
  • Linear algebra

Core Courses - 16 hrs..

  • IME 511: Probability & Statistics for Analytics - 3 hrs.
  • IME 512: Regression and Experimental Design - 3 hrs.
  • CS 560: Fundamentals of Data Science - 3 hrs.
  • CS 571: Database Management Systems or IME: 514 Operations Research - 3 hrs.
  • MIS 570: Introduction to Business Analytics - 3 hrs.
  • BUS 511: Communicating Quantitative Information - 1 hr.

Concentration Required Courses - 9 hrs..

  • IME 568: Engineering Analytics I - 3 hrs.
  • IME 586: Logistics and Supply Chain Systems - 3 hrs.
  • IME 691: Research/Practicum – 3 hrs.
    or MIS 590 Business Analytics Consulting Project – 3 hrs.
    or CS 594 Capstone Project for Data Science - 3 hrs.

Possible electives for the Data Science and Analytics Program include courses required by the other concentrations, or additional courses listed below, or courses approved by the department chair. It is the responsibility of the student to ensure they have met the prerequisites for their elective courses.

  • CIS 576: Data Management
  • CIS 580: Digital Society and Computer Law
  • CS 541: Python for Data Science
  • CS 561: Artificial Intelligence
  • ECE 565: Engineering Applications of Machine Learning
  • IME 501: Engineering Cost Analysis
  • IME 526: Reliability Engineering
  • IME 561: Simulation of Manufacturing and Service Systems
  • IME 578: Engineering Analytics II
  • IME 583: Production Planning and Control
  • MIS 613: Advanced Algorithms for Business
  • MTG 624: Marketing Decision Making
  • MTH 510: Numerical Methods I
  • MTH 511: Numerical Methods II