Bachelor’s Degree in Smart Health Technologies Engineering
Program Description
The Bachelor’s Program in Smart Health Engineering at Alnoor University is a specialized academic and engineering program aimed at preparing engineers with the knowledge and skills necessary to develop and apply smart technologies in the healthcare sector. It integrates biomedical engineering, information technology, artificial intelligence, the Internet of Things (IoT), health data analytics, cloud computing, and smart medical devices, contributing to improving the quality of healthcare services, supporting diagnosis and treatment, and managing healthcare institutions according to the latest global standards.
Program Objectives
- To prepare specialized engineers in Smart Health Engineering Technology with a strong scientific and engineering foundation
- Develop skills in designing and developing smart healthcare systems and connected medical devices.
- Equip students to use artificial intelligence and data analytics in healthcare applications.
- Develop skills in designing remote health monitoring systems and telemedicine technologies.
- Enhance students' capabilities in health information management while ensuring data security and privacy.
- Supporting scientific research, innovation, and entrepreneurship in health technology.
- Meeting the healthcare sector's needs for qualified professionals in the field of digital health.
Awarded Qualification
Bachelor of Science in Smart Health Engineering Technology (B.Sc.)
Qualification Level
- Level 6 of the Iraqi National Qualifications Framework (INQF), or its equivalent, in accordance with the regulations of the Ministry of Higher Education and Scientific Research.
Special Admission Requirements
Students are admitted in accordance with the regulations of the Ministry of Higher Education and Scientific Research and the approved admission criteria, provided that they satisfy the admission requirements.
Qualification Requirements and Regulations
Requirements for the Award of the Bachelor's Degree:
- Completion of all required credit hours.
- Successful completion of all courses.
- Commitment to university regulations and instructions.
- Completion of the field training requirements, if applicable.
Recognition of Prior Learning (RPL)
Prior learning or coursework completed at recognized educational institutions may be credited in accordance with the applicable regulations and instructions of the Ministry of Higher Education and Scientific Research and Alnoor University.
Program Learning Outcomes (PLOs)
By the end of the program, graduates will be able to:
- Design and develop smart healthcare systems and digital healthcare applications.
- Develop AI-based solutions to support medical diagnosis and clinical decision-making.
- Design and operate Internet of Medical Things (IoMT) systems and smart medical devices.
- Management and analysis of healthcare data using data science tools and artificial intelligence.
- Development of Remote Health Monitoring Systems and Telemedicine.
- Applying health information security standards, protecting privacy, and ensuring the quality of healthcare systems.
- Using engineering software and cloud platforms to develop healthcare services.
- Working effectively within multidisciplinary teams while adhering to professional ethics and committing to continuous professional development.
Iraqi National Qualifications Framework (INQF)
| Learning Domain | Program Learning Outcomes (PLOs) |
|---|---|
| Knowledge and Understanding | Familiarity with biomedical engineering, artificial intelligence, health informatics, medical Internet of Things (IoT), and health data analytics. |
| Skills | Design of smart healthcare systems, data analysis, programming, technical project management, and maintenance of healthcare systems. |
| Application | Develop innovative digital health solutions to improve the quality of services and healthcare. |
| Values | Adherence to professional ethics, data confidentiality, patient safety, innovation, and teamwork. |
Course and Program Learning Outcomes Matrix
| Course | Knowledge | Skills | Application | Values |
|---|---|---|---|---|
| Introduction to Smart Health | ✓ | ✓ | ✓ | ✓ |
| Artificial Intelligence in Healthcare | ✓ | ✓ | ✓ | ✓ |
| Internet of Medical Things (IoMT) | ✓ | ✓ | ✓ | ✓ |
| Health Informatics | ✓ | ✓ | ✓ | ✓ |
| Health Data Analysis | ✓ | ✓ | ✓ | ✓ |
| Smart medical devices | ✓ | ✓ | ✓ | ✓ |
| Electronic medicine and remote monitoring | ✓ | ✓ | ✓ | ✓ |
| Health Information Security | ✓ | ✓ | ✓ | ✓ |
Professional profiles of graduates
or Graduate professional profiles
The program qualifies its graduates to work in:
- Smart Hospitals and Digital Healthcare Institutions.
- HealthTech companies or Healthcare technology companies.
- Medical Software and Healthcare Application Development Companies
- Smart Medical Device Manufacturing Companies
- Electronic Health Record (EHR) Systems Companies
- Medical Call Centers and Telemedicine Services.
- Companies specializing in Artificial Intelligence and Healthcare Data Analytics.
- Government institutions responsible for digital transformation in the healthcare sector.
- Research and Innovation Centers
- Universities and academic institutions following the completion of postgraduate studies
Opportunities to continue studying or the possibility of pursuing postgraduate studies.
Graduates can pursue further studies in:
- Master of Science in Biomedical Engineering (M.Sc.)
- Master’s in Health Informatics
- Master’s in Digital Health.
- Master’s degree in Artificial Intelligence.
- Master’s degree in Data Science
- Ph.D. in Biomedical Engineering or a closely related field.
- Professional programs in digital health, medical artificial intelligence, health information security, health data analytics, and healthcare project management.
Examination regulations, assessment, and grading.
The program adopts the evaluation system approved by the Ministry of Higher Education and Scientific Research and Alnoor University, and includes: specifically.
- daily assessments
- term exams
- Final exams
- Laboratory reports
- Engineering projects
- Summer training and field training
- Presentations
- Commitment to academic integrity standards and policies for combating cheating and scientific plagiarism.
Graduation requirements
Requirements for the Award of the Bachelor's Degree:
- Passing all academic courses successfully
- Completion of all required credit hours
- Passing the summer training or field training according to the study plan
- Successful completion of the graduation project
- Meeting the minimum required cumulative GPA
- Adherence to all academic regulations and instructions
Completion 240 ECTS credits successfully
Academic study mode
- The duration of study is four years
- The program relies on theoretical lectures, practical laboratory sessions, engineering applications, and training in hospitals and healthcare institutions, as well as the use of artificial intelligence platforms, medical Internet of Things (IoT), data analysis, and applied projects, which enhances graduates’ readiness to work in smart healthcare environments.
Program coordinator
Program Coordinator of the Bachelor’s in Smart Health Engineering Technology Program
The program coordinator is responsible for supervising the implementation of the study plan, monitoring the achievement of learning outcomes, and ensuring the quality of the program. The coordinator also works on developing curricula in line with the latest developments in smart health, medical engineering, artificial intelligence, medical Internet of Things (IoT), and health informatics. In addition, they coordinate among faculty members and students, oversee laboratories and practical training, and ensure compliance with academic accreditation requirements and the quality assurance policies at Alnoor University.