Bachelor’s degree program in Artificial Intelligence Engineering Technologies
Program Description
The Bachelor’s program in Artificial Intelligence Engineering Technologies at Alnoor University is a specialized academic and engineering program aimed at preparing engineers with the knowledge and skills required to design and develop intelligent systems and to apply artificial intelligence technologies across various industrial, medical, commercial, and service sectors. The program integrates computer science, software engineering, data science, machine learning, deep learning, computer vision, natural language processing, robotics, cloud computing, and the Internet of Things, enabling graduates to innovate intelligent solutions that contribute to supporting digital transformation and sustainable development.
Program Objectives
- Preparing engineers who possess a strong scientific and engineering foundation in artificial intelligence technologies.
- Developing skills in designing and developing intelligent systems and machine learning applications.
- Preparing students to use data science and data analysis in building intelligent models.
- Enhancing skills in developing computer vision applications and natural language processing.
- Developing students’ capabilities in designing embedded intelligent systems, robotics, and the Internet of Things (IoT).
- Embedding the principles of artificial intelligence ethics, data security, and privacy protection.
- Supporting scientific research, innovation, and entrepreneurship in the field of artificial intelligence.
Awarded Qualification
Bachelor of Science in Artificial Intelligence 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 instructions of the Ministry of Higher Education and Scientific Research and the approved admission regulations.
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:
- Designing and developing artificial intelligence applications using the latest algorithms and tools.
- Building machine learning and deep learning models, analyzing their performance, and improving them.
- Big data analytics and knowledge extraction to support decision-making.
- Developing computer vision applications, natural language processing, and intelligent systems.
- Designing solutions based on robotics, the Internet of Things (IoT), and intelligent embedded systems.
- Using cloud computing and modern artificial intelligence tools in application development.
- Applying the principles of artificial intelligence ethics, data security, and privacy.
- Working within multidisciplinary teams and managing technical and innovative projects.
Iraqi National Qualifications Framework (INQF)
| Learning Domain | Program Learning Outcomes (PLOs) |
|---|---|
| Knowledge and Understanding | Familiarity with artificial intelligence, data science, software engineering, mathematics, statistics, and intelligent computing. |
| Skills | Programming, data analysis, building intelligent models, problem-solving, and managing technical projects. |
| Application | Develop innovative intelligent solutions for various sectors using artificial intelligence technologies. |
| Values | Commitment to artificial intelligence ethics, privacy, innovation, continuous learning, and teamwork. |
Course and Program Learning Outcomes Matrix
| Course | Knowledge | Skills | Application | Values |
|---|---|---|---|---|
| Introduction to Artificial Intelligence | ✓ | ✓ | ✓ | ✓ |
| Machine Learning | ✓ | ✓ | ✓ | ✓ |
| Deep Learning | ✓ | ✓ | ✓ | ✓ |
| Data science and its analysis | ✓ | ✓ | ✓ | ✓ |
| Computer Vision | ✓ | ✓ | ✓ | ✓ |
| Natural Language Processing (NLP) | ✓ | ✓ | ✓ | ✓ |
| Robotics and intelligent systems | ✓ | ✓ | ✓ | ✓ |
| Ethics of artificial intelligence and data security | ✓ | ✓ | ✓ | ✓ |
Professional profiles of graduates
or Graduate professional profiles
The program qualifies its graduates to work in:
- Companies in Artificial Intelligence and Data Analytics
- Software development and intelligent application companies
- Cybersecurity companies
- Robotics and industrial automation companies
- Financial and banking institutions
- Healthcare companies and medical technology companies
- Telecommunications and Information Technology companies.
- E-commerce and digital marketing companies
- 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’s degree in Artificial Intelligence.
- Master’s degree in Data Science
- Master’s degree in Computer Science.
- Master’s in Software Engineering.
- Master’s in Robotics and Intelligent Systems.
- PhD in Artificial Intelligence or related engineering disciplines.
- Professional programs and global certifications in machine learning, data analytics, cloud computing, generative artificial intelligence, and technical 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 is based on theoretical lectures, practical laboratory work, software applications, applied projects, simulation environments, and field training, as well as the use of modern platforms for developing artificial intelligence applications, thereby enhancing graduates’ readiness to work in advanced technology and digital transformation fields.
Program coordinator
Program Coordinator of the Bachelor of Science in Artificial Intelligence Engineering Technology
The program coordinator is responsible for supervising the implementation of the study plan, monitoring the achievement of learning outcomes, ensuring the quality of the program, and developing curricula in line with the latest developments in artificial intelligence, data science, machine learning, and intelligent systems. The coordinator also manages coordination among faculty members and students, oversees laboratories and practical training, and ensures compliance with academic accreditation requirements and quality assurance policies at Alnoor University.