10 Highest Paying Tech Associate’s Degrees
1. Instrumentation Technology
Early Career Pay: $42,900
Mid-Career Pay: $92,500
Instrumentation is defined as the art and science of measurement and control of the process variables within a production or manufacturing area. The process variables used in industries are level, pressure, temperature, humidity, flow, pH, force, speed, etc.
2. Management Information Systems (MIS)
Early Career Pay: $44,200
Mid-Career Pay: $78,800
Management information systems (plural) as an academic discipline studies people, technology, organizations, and the relationships among them. This definition relates specifically to “MIS” as a course of study in business schools. Many business schools (or colleges of business administration within universities) have an MIS department, alongside departments of accounting, finance, management, marketing, and many award degrees (at undergraduate, master, and doctoral levels) in Management Information Systems.
3. Nuclear Medicine Technology
Early Career Pay: $57,900
Mid-Career Pay: $74,600
Nuclear medicine is a medical specialty involving the application of radioactive substances in the diagnosis and treatment of disease. Nuclear medicine, in a sense, is “radiology done inside out” or “endoradiology” because it records radiation emitting from within the body rather than radiation that is generated by external sources like X-rays. In addition, nuclear medicine scans differ from radiology as the emphasis is not on imaging anatomy but the function and for such reason, it is called a physiological imaging modality. Single Photon Emission Computed Tomography or SPECT and Positron Emission Tomography or PET scans are the two most common imaging modalities in nuclear medicine.
4. Electrical Engineering (EE)
Early Career Pay: $41,500
Mid-Career Pay: $73,200
Electrical engineering is a field of engineering that generally deals with the study and application of electricity, electronics, and electromagnetism. This field first became an identifiable occupation in the later half of the 19th century after commercialization of the electric telegraph, the telephone, and electric power distribution and use. Subsequently, broadcasting and recording media made electronics part of daily life. The invention of the transistor, and later the integrated circuit, brought down the cost of electronics to the point they can be used in almost any household object.
5. Electrical Engineering Technology (EET)
Early Career Pay: $41,900
Mid-Career Pay: $72,600
Electrical/Electronics engineering technology (EET) is an engineering technology field that implements and applies the principles of electrical engineering. Like electrical engineering, EET deals with the “design, application, installation, manufacturing, operation and/or maintenance of electrical/electronic(s) systems.” However, EET is a specialized discipline that has more focus on application, theory, and applied design, and implementation, while electrical engineering may focus more of a generalized emphasis on theory and conceptual design. Electrical/Electronic engineering technology is the largest branch of engineering technology and includes a diverse range of sub-disciplines, such as applied design, electronics, embedded systems, control systems, instrumentation, telecommunications, and power systems.
6. Computer Engineering (CE)
Early Career Pay: $41,600
Mid-Career Pay: $70,800
Computer engineering is a discipline that integrates several fields of electrical engineering and computer science required to develop computer hardware and software. Computer engineers usually have training in electronic engineering (or electrical engineering), software design, and hardware-software integration instead of only software engineering or electronic engineering. Computer engineers are involved in many hardware and software aspects of computing, from the design of individual microcontrollers, microprocessors, personal computers, and supercomputers, to circuit design. This field of engineering not only focuses on how computer systems themselves work, but also how they integrate into the larger picture.
7. Computer Science (CS) & Engineering
Early Career Pay: $43,300
Mid-Career Pay: $70,300
8. Robotics & Automation
Early Career Pay: $43,100
Mid-Career Pay: $70,000
Robotics is an interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing.
9. Computer Programming
Early Career Pay: $43,500
Mid-Career Pay: $69,900
Computer programming (often shortened to programming) is a process that leads from an original formulation of a computing problem to executable computer programs. Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation (commonly referred to as coding) of algorithms in a target programming language. Source code is written in one or more programming languages. The purpose of programming is to find a sequence of instructions that will automate performing a specific task or solving a given problem. The process of programming thus often requires expertise in many different subjects, including knowledge of the application domain, specialized algorithms, and formal logic.
10. Computer Science (CS)
Early Career Pay: $40,400
Mid-Career Pay: $69,400
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.