Energy engineering or energy systems engineering is a broad field of engineering dealing with energy efficiency, energy services, facility management, plant engineering, environmental compliance, sustainable energy and renewable energy technologies. Energy engineering is one of the more recent engineering disciplines to emerge. Energy engineering combines knowledge from the fields of physics, math, and chemistry with economic and environmental engineering practices. Energy engineers apply their skills to increase efficiency and further develop renewable sources of energy. The main job of energy engineers is to find the most efficient and sustainable ways to operate buildings and manufacturing processes.   

Select four:

•    01:220:334 Energy Economics 
•    14:540:487 Energy Systems Modeling and Optimization 
•    14:540:488 Design of Decision Support Systems 
•    14:635:405 Solar Cell Design and Processing

Financial Systems track provides ISE students with opportunities to build on financial related courses such as 33:10:310 Accounting for Engineers and 14:540:343 Engineering Economics to have a deeper knowledge in corporate finance, investment analysis and futures and options. It is designed for students who wish to work in industries such as securities, banking, and financial management and consulting, or general manufacturing and service firms. The following are the track courses.  

Required: 

33:390:300 Introduction to Financial Management (Fall, Spring, Summer) – the prerequisites for this course are Calculus I, Accounting for Engineers, and Engineering Statistics  

Select three: 

01:220:423 Advanced Time Series and Financial Econometrics 

16:540:575 Advanced Engineering Economics I  

33:390:380 Investment Analysis (Spring, Summer) – prerequisite is 33:390:300 

33:390:400 Corporate Finance (Spring, Summer) – prerequisite is 33:390:300 

33:390:420 Derivatives – prerequisite is 33:390:380  

Special Permission Numbers for the ISE Financial Systems Track: 

The process for obtaining a special permission number for the Rutgers Business School courses is that the ISE Undergraduate Director will verify that the ISE students have met the prerequisites for 33:390:300 (and 33:390:380 and 33:390:400 as well) and then send a confirmation e-mail to the Undergraduate Program Coordinator at the Rutgers Business School.  The ISE students will then be advised to contact the Rutgers Business School Undergraduate Program Coordinator directly for the special permission.

Manufacturing and Production uses workers and machines to transform raw material into products.  It builds on the students’ background in chemistry, physics, materials properties and mathematics toward the understanding and improvement of manufacturing materials, processes, and systems. In addition, it deals with production planning, control, job and machine scheduling and distribution systems.  It prepares students for careers in production, manufacturing and distribution and logistics systems.  

Select four: 

14:540:485 Industrial Information Systems 

14:150:330 Introduction to Nanomaterials Science and Engineering 

16:540:520 Supply Chain and Logistics Engineering (Requires 3.0 GPA)   

Or 33:799:301 Introduction to Supply Chain Management 

14:650:388 Computer-Aided Design in Mechanical and Aerospace Engineering

Quality and Reliability deals with ensuring that the quality of products and services achieves a target quality level by assessing the quality performance indicators and monitoring and improving the processes during production and in field use. It also provides fundamentals of reliability for product and system design. In-depth education in reliability engineering, system resilience, condition based maintenance, software reliability and warranty policy is provided.  It prepares students for careers in system engineering enterprises and corporations and in production and manufacturing systems.  

Select four: 

01:960:490 Introduction to Experimental Design 

01:960:463 Regression Methods 

14:540:491/492 Introduction to Reliability 

16:540:507 Data Analytics in Engineering Systems 

16:540:580 Quality Management 

17:610:560 Foundations of Data Science