Insights matter.

Data science engineering trains you to strategically leverage data with the goal of advancing technology. Combining the growing field of data science with a robust knowledge of engineering-based principles, this major prepares you to synthesize information, communicate informed business decisions and design data delivery systems that interface between engineers and end users.

Requiring classes in computer logic, statistics and computer programming, this degree equips you to lead change in data-driven processes and to excel as an influential, knowledgable and virtuous engineering professional. You'll graduate with technical expertise in mathematics, software engineering and data mining.

Career Opportunities

Studies in data science engineering prepare you for a variety of career opportunities and graduate-level programs.

  • Big data engineer
  • Business analyst
  • Database administrator
  • Data architect
  • Statistician

Degree Program Requirements

A bachelor's degree in engineering with a data science concentration requires 139 total credit hours. In addition to foundational engineering classes and select liberal arts courses, this includes 28 credit hours of specialized major classes.

Concentration Classes: 28 Credit Hours

  • CIS-216: Introduction to Data Management (3 credit hours)
  • CIS-218: Introduction to App Development (3 credit hours)
  • CIS-335: Data Mining (3 credit hours)*
  • EGR-336: Project Management (3 credit hours)
  • EGR-367: Manufacturing Processes (4 credit hours)*
  • EGR-440: Production Models (3 credit hours)*
  • STA-216: Intermediate Applied Statistics (3 credit hours)*
  • STA-321: Applied Regression (3 credit hours)*
  • STA-426: Multivariate Data Analysis (3 credit hours)*

*Classes completed through a collaborative partnership with Grand Valley State University

Core Engineering Classes: 77 Credit Hours

  • CHM-111: Chemistry I (4 credit hours)
  • EGR-106: Introduction to Engineering Design I (3 credit hours)*
  • EGR-107: Introduction to Engineering Design II (3 credit hours)*
  • EGR-209: Mechanics and Machines (4 credit hours)*
  • EGR-214: Circuit Analysis I (4 credit hours)
  • EGR-220: Measurement & Data Analysis (1 credit hour)
  • EGR-226: Introduction to Digital Systems (4 credit hours)
  • EGR-250: Material Science and Engineering (4 credit hours)*
  • EGR-309: Machine Design I (4 credit hours)*
  • EGR-345: Dynamics Systems & Modeling (4 credit hours)*
  • EGR-380: Internship I (3 credit hours)
  • EGR-380: Internship II (3 credit hours)
  • EGR-485: Capstone Project & Ethics (1 credit hour)
  • EGR-486: Capstone Project II (2 credit hours)
  • MAT-131: Calculus I (5 credit hours)
  • MAT-132: Calculus II (5 credit hours)
  • MAT-234: Multivariate Calculus (3 credit hours)
  • MAT-2XX: Differential Equations and Linear Algebra (3 credit hours)
  • MAT-251: Probability & Statistics (3 credit hours)
  • PHY-221: Physics I (5 credit hours)
  • PHY-222: Physics II (5 credit hours)
  • Choose one elective:
    • EGR-360: Thermodynamics (4 credit hours)*
    • EGR-362: Thermal & Fluid Systems (4 credit hours)*

*Classes completed through a collaborative partnership with Grand Valley State University

Ask A Question

If you have questions about our engineering data science concentration, email Michael Greene. He'd be glad to share more information about the program, what to expect as an engineering major and how to pick a concentration that fits your career goals.

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