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Medical Computer Systems

General Information

The Master's program in Medical Computer Systems is a specialized academic field focused on the study of modern medical technologies and computer systems. This program provides students with knowledge of medical computer systems, databases, healthcare information systems, and the application of artificial intelligence and machine learning technologies.

It is designed for students who wish to gain expertise in both healthcare and information technology. Throughout the program, students will develop skills to analyze medical data, predict diseases, create diagnostic systems, and contribute to the development of information systems in healthcare.

Program Structure

The Master's program in Medical Computer Systems lasts for 2 years and includes the following key areas:

  • Medical computer systems and technologies

  • Information systems and medical databases

  • Artificial intelligence and machine learning technologies

  • Medical data analysis and visualization

  • Healthcare information security and legal issues

  • Research methodology and thesis writing seminars

Students will also conduct independent research and work on their master’s thesis under the supervision of an academic advisor.

Career Opportunities

Graduates of the Master's program in Medical Computer Systems can pursue careers in the following fields:

  • Healthcare organizations as specialists in medical data management and information systems

  • Consultants or specialists in medical computer systems and technologies

  • Developers or researchers in artificial intelligence and data analysis

  • Information security specialists and analysts

  • Teachers and researchers in the field of medical computer systems

This program blends medicine and technology to create innovative solutions in healthcare, offering students a wide range of career opportunities.

Tuition Fee: 22,500,000 UZS per academic year

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Catalog about the University of business and science
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In the catalog you can get some information about the faculties and the learning process

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