The Associate in Science (A.S.) in Health Information Technology degree improves the health care delivery system through educating and training students to become knowledgeable about the management of health information systems. Health care is the largest industry in the U.S. and there is enormous demand for skilled health information technology professionals to design, operate and maintain the technology that makes the health care system run. There's a high demand for health information technologist jobs including clinical coders, health information technicians, data analysts, patient information coordinators and health record technicians. In addition to ensuring that health records are accurate and complete, registered health information technologists must maintain all health records according to federal, state and local laws.

Students will gain technical knowledge of health systems, data entry and retrieval, and a strong technology background, with regulatory knowledge to equip students to modify and recommend medical record technology solutions. This program is available online.

The program of study is arranged in a logical sequence, with study moving from the most basic concepts through highly technical principles. Several professional courses are offered to assist in the development of managerial skills.

Graduates of the online Electronics Engineering Technology Program are qualified for highly technical and professional careers in instrumentation and control, technical sales and field services, electronics manufacturing, and electrical power operations.

The online Electronics Engineering Technology Program is open to eligible students in the U.S. (including the District of Columbia and all U.S. territories). The program also is open to students in Canada (all provinces). The program is closed to students residing in countries other than the U.S. and Canada except for U.S. military and State Department personnel and their family members with APO/FPO addresses.

Apply your interest in numbers by digging deep into data models. Gain the analytical skills needed to make smart business decisions. Discover a range of topics that include data mining and analysis, data acquisition and machine learning.