Program
Description
The Bachelor of Science in Artificial Intelligence with a specialization in Data Science is a four-year undergraduate program consisting of eight academic semesters and requiring 144 credit hours for graduation. Offered by the College of Artificial Intelligence at the Arab Academy for Science, Technology and Maritime Transport, the program provides a comprehensive foundation in mathematics, statistics, programming, computer science, artificial intelligence, and data science.
The curriculum covers database systems, data structures, computing algorithms, machine learning, deep learning, statistical analysis, data mining, advanced databases, big data analytics, information retrieval, and search engines. Students also develop skills in data cleaning, preprocessing, visualization, predictive modeling, and the application of analytical techniques to complex datasets.
Through laboratory work, practical training, and graduation projects, students learn to apply data science methods to real-world challenges. The program also emphasizes ethical and responsible data use, privacy, accountability, communication, teamwork, project management, and continuous professional development.
Learning Outcomes
- Upon successful completion of the program, graduates will be able to:
1. Apply mathematical, statistical, and computational methods to analyze complex datasets and formulate solutions to real-world problems.
2. Develop, implement, and evaluate statistical models and machine learning algorithms for prediction, classification, and knowledge discovery.
3. Collect, organize, clean, preprocess, store, and manage structured and unstructured data using appropriate technologies.
4. Apply data mining, database management, and big data analytics techniques to extract meaningful insights from large-scale datasets.
5. Design effective data visualizations and communicate analytical findings clearly to technical and non-technical audiences.
6. Use appropriate programming languages, analytical tools, software architectures, and computational frameworks to develop data-driven applications.
7. Evaluate analytical results critically and use evidence-based insights to support decision-making.
8. Design innovative data-driven solutions to complex problems across different application domains.
9. Recognize and address ethical, social, and professional issues related to data privacy, algorithmic bias, accountability, and responsible data use.
10. Work effectively in multidisciplinary teams, communicate professionally, and manage data science projects using appropriate project management principles.
11. Demonstrate independent learning, critical thinking, creativity, and the ability to adapt to emerging technologies and developments in data science.
