Integrated Digital Manufacturing Technology (IDM), often referred to as Smart or Data-Driven Manufacturing, is an engineering field dedicated to improving manufacturing productivity, quality, safety, uptime, and optimization.  IDM achieves improved manufacturing by controlling, analyzing, and implementing new sensor technologies designed to enhance all aspects of production through gathering data, analyzing data, and providing solutions based on information modeling.  Integrated Digital Manufacturing Technology seeks to solve manufacturing issues by implementing data-driven decision-making. 

Students completing this degree will gain a comprehensive knowledge of manufacturing and automated systems, mechanical devices, electrical issues, industrial information technology and networking.  This program will guide students to gain an operational knowledge base to complement acquired information technology skills.  This is accomplished thorugh a combination of learning skills in Human Data Input (HDI), robotics, programmable logic controllers (PLC), smart and wireless sensors and devices, utilizing the Industrial Internet of Things (IIoT), and supervisory control and data acquisition (SCADA) software and hardware.  Graduates will design or use a system of software and hardware elements that allow industrial organizations to control industrial processes locally or at remote locations as well as monitor, gather, and use real-time process data while directly interacting with devices from anywhere in the world.  Students in the IDM program will acquire knowledge of electrical, mechanical, networking engineering, cybersecurity, cloud security, enterprise security, and design knowledge as essential parts of this program. 

Financial Assistance funds cannot be applied towards this program. Request for eligibility to utilize Financial Assistance funds for this program is currently pending.

Related Programs/Training

Smart Manufacturing - Mechatronics, Associate of Applied Science

Program Admission Requirements

Applications may be submitted after meeting the following requirements:

  • High School Diploma/GED
  • Complete ENG-1010 College Composition I or ENG-101H Honors College Composition I
  • MATH-0965 Intermediate Algebra with grade of "C" or higher; or appropriate score on Math placement test.

Program Learning Outcomes

This program is designed to prepare students to demonstrate the following learning outcomes:

  1. Demonstrate knowledge of manufacturing processes, technologies, and operations.
  2. Ability to perform rapid prototyping, complex part manufacturing, and spare part creation.
  3. Ability to perform troubleshooting activities and aid manufacturing in future machine learning activities when combined with big data initiatives
  4. Demonstrate ability to enable IIoT applications with edge computing such as predictive analytics and maintenance, digital twin, and machine learning and optimization.
  5. Demonstrate knowledge of connectivity for IACS devices, including sensors, actuators, and controllers and assets such as robots.
  6. Ability to use plant-wide applications such as manufacturing execution systems, supervisory control and data acquisition (SCADA), historians, and asset managers.
  7. Implement, evaluate, and provide securely integrated to IIoT, enterprise, and cloud services.
Plan of Study Grid
First Year
First SemesterCredit Hours
EET-1220 Circuits and Electronics for Automation 3
ENG-1010 College Composition I 3
MET-1120 Computer Applications and Programming 2
MET-1230 Drawing & AutoCAD 3
MET-1640 Robotics and Programmable Logic Controllers in Process Automation 5
 Credit Hours16
Second Semester
HUM-1020 The Individual in Society 3
ISET-1301 Mechanical/Electrical Print Reading 3
MATH-1530 College Algebra 4
MET-1340 Introduction to Industry 4.0 and Vision Systems 4
MET-2601 3D Solid Modeling 3
 Credit Hours17
Second Year
First Semester
EET-1600 Industrial Routers, Switches, and Operating Systems for Smart Manufacturing 2
ISET-1320 Fundamentals of Fluid Power 2
ISET-2200 Industrial Motor Controls 3
MET-1410 Computer Aided Manufacturing Processes 3
ENG-2151 Technical Writing 3
DEGR-XXXXNatural Science Requirement (lecture) 1 3
 Credit Hours16
Second Semester
EET-1620 Industrial Protocols and Machine Connectivity for Smart Manufacturing 3
MET-2450 Robotics and Automation in Smart Manufacturing 4
MET-2460 Applied Programmable Logic Controllers and Mechatronic Systems 5
PSY-1050 Introduction to Industrial/Organizational Psychology 3
 Credit Hours15
Third Year
First Semester
CHEM-1010 Introduction to Inorganic Chemistry 4
MATH-1480 Modern Mathematics for Business and Social Sciences II 4
MET-3830 Smart Manufacturing Internship I 1
DEGR-XXXXOhio Transfer 36 Elective 3
ISET-3100 Electrical and Mechanical Systems for Smart Manufacturing 3
 Credit Hours15
Second Semester
MET-3100 Applied Smart Manufacturing Processes 3
EET-3100 Manufacturing Network Devices 3
EET-3200 Industrial IoT Fundamentals and Cybersecurity 4
EET-3210 CyberOps for Manufacturing 4
Select one of the following: 3
Honors Ethics
 Credit Hours17
Fourth Year
First Semester
MET-3840 Smart Manufacturing Internship II 1
EET-4200 Cloud Security for Manufacturing 3
EET-3300 Applications Programming for Smart Manufacturing 3
EET-3310 Industrial Software Applications Development 4
Ohio Transfer 36 Social and Behavioral Sciences Requirement 3
 Credit Hours14
Second Semester
EET-4100 Network Security for Manufacturing 4
MET-4210 Smart Manufacturing ERP Systems 4
MET-4990 Integrated Digital Manufacturing Project 3
EET-4210 Big Data Analytics for Smart Manufacturing 3
 Credit Hours14
 Total Credit Hours124

Highly Recommend PHYS-1210 College Physics I.

MATH-1140, MATH-1141, MATH-1200, MATH-1270, and MATH-1280 can no longer count towards fulfilling the college-level mathematics requirement.  These courses were re-classified as developmental mathematics by the state of Ohio in 2016.  Tri-C established a 5-year transitioning window for students who had completed these courses prior to 2016 to apply them towards meeting graduation requirements, which expired in Summer 2021. It is highly recommended to see a counselor to determine the appropriate math required for your current major.