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Data Science - 135 Credit Hours

Data Science - 135 Credit Hours

College of Artificial Intelligence |
English

Program Description

The Bachelor of Artificial Intelligence, Major Data Science, offered by the College of Artificial Intelligence at the Arab Academy for Science, Technology and Maritime Transport (AASTMT), is an undergraduate academic program designed to prepare graduates for professional and research-oriented careers in artificial intelligence and data science. The program extends over four academic years, comprising eight semesters and requiring the completion of 135 credit hours. Its curriculum provides a comprehensive foundation in mathematics, basic sciences, computing, programming, software engineering, and artificial intelligence, followed by specialized study in data science and advanced computing technologies. Core areas of study include probability and statistics, linear algebra, data structures and algorithms, database systems, machine learning, deep learning, statistical analysis for data science, data mining, time-series analysis, computer vision, natural language processing, big data analytics, cloud computing, and information retrieval. Elective courses provide opportunities to explore additional topics, including business intelligence, data warehousing, data cleaning and visualization, distributed data analysis, and geographic information systems and spatial data mining. The program emphasizes the integration of theoretical knowledge with practical implementation through laboratory activities, professional training, practical summer training, and graduation projects. Students develop the ability to design, implement, evaluate, and communicate data-driven solutions while considering ethical responsibilities, privacy, bias, accountability, and the broader social and economic implications of artificial intelligence. Upon completion, graduates are expected to demonstrate the analytical, computational, and professional competencies required to transform data into meaningful insights, develop predictive models, support evidence-based decisions, and contribute to innovative applications of artificial intelligence across different sectors.

Learning Outcomes

Upon successful completion of the Bachelor of Artificial Intelligence, Major Data Science, graduates will be able to: 1. **Apply mathematical and statistical principles:** Apply linear algebra, calculus, probability, and statistical methods to analyze complex datasets and solve computational and data science problems. 2. **Develop data science solutions:** Design and implement data-driven solutions using appropriate programming languages, algorithms, data structures, and computational tools. 3. **Analyze and interpret data:** Apply statistical analysis, exploratory data analysis, and data mining techniques to identify patterns, discover relationships, and extract meaningful insights from structured and unstructured data. 4. **Develop machine learning models:** Select, implement, and evaluate supervised and unsupervised machine learning algorithms to address prediction, classification, clustering, and other real-world problems. 5. **Apply advanced artificial intelligence techniques:** Implement and evaluate deep learning and other AI techniques for suitable applications, including computer vision, natural language processing, and predictive analytics. 6. **Manage and process data:** Design and use database systems and appropriate data management techniques to store, retrieve, process, and analyze data efficiently. 7. **Apply data visualization techniques:** Select and use suitable visualization methods and tools to communicate analytical findings clearly and effectively to technical and non-technical audiences. 8. **Evaluate AI and data science solutions:** Assess the performance, accuracy, and limitations of analytical models and computational solutions using appropriate evaluation metrics and validation techniques. 9. **Design software and AI architectures:** Apply software engineering principles, development methodologies, and appropriate software architectures to design and implement reliable data science and AI applications. 10. **Address ethical and professional responsibilities:** Identify and address ethical, legal, social, and professional considerations associated with data collection, processing, analysis, and AI deployment, including privacy, bias, and accountability. 11. **Communicate and collaborate effectively:** Present technical information, analytical findings, and project outcomes through clear written reports, presentations, and collaborative work within multidisciplinary teams. 12. **Manage and deliver projects:** Plan, execute, and evaluate data science and AI projects by applying appropriate project management principles, teamwork, and resource management practices. 13. **Conduct independent learning and research:** Identify relevant problems, investigate potential solutions, evaluate technical information critically, and pursue continuous professional development in emerging data science and AI technologies. 14. **Develop innovative solutions:** Apply creative and analytical thinking to develop practical, cost-effective, and data-driven solutions to problems in business, industry, research, and other application domains.

Markets and Career

The growing adoption of artificial intelligence, advanced analytics, and data-driven decision-making across industries creates diverse career opportunities for graduates specializing in Data Science. Organizations increasingly rely on data science professionals to analyze large datasets, develop predictive models, automate analytical processes, improve operational efficiency, and support strategic planning. Graduates of the Bachelor of Artificial Intelligence, Major Data Science, may pursue careers in the following areas: 1. **Data Analyst:** Collect, process, analyze, and interpret data to identify trends, generate reports, and support evidence-based business decisions. 2. **Data Scientist:** Apply statistical analysis, machine learning, and advanced analytical techniques to extract insights, build predictive models, and solve complex problems. 3. **Business Intelligence Analyst:** Develop analytical reports, dashboards, and performance indicators to support business planning, organizational performance monitoring, and managerial decision-making. 4. **Data Engineer:** Design, develop, and maintain data pipelines, databases, and data processing systems that support reliable and scalable analytical operations. 5. **Machine Learning Engineer:** Develop, test, and deploy machine learning models and integrate intelligent algorithms into software applications and business systems. 6. **Artificial Intelligence Engineer:** Design and implement AI-based applications using appropriate machine learning, deep learning, and computational techniques. 7. **Business Analytics Specialist:** Apply analytical methods and data visualization tools to evaluate business performance, identify opportunities, and support strategic and operational decisions. 8. **Data Mining Specialist:** Apply data mining and statistical techniques to discover patterns, relationships, and useful knowledge from large datasets. 9. **Big Data Analytics Specialist:** Work with large-scale datasets and distributed data processing technologies to extract insights and support complex analytical tasks. 10. **Data Visualization Specialist:** Transform complex analytical results into clear, meaningful visual representations and interactive dashboards for different audiences. 11. **Database and Analytics Developer:** Develop and optimize database solutions, data models, and analytical applications to support organizational information systems. 12. **Research and Development Specialist:** Contribute to research projects involving artificial intelligence, machine learning, statistical modeling, data analytics, and emerging computational technologies. Graduates may find employment opportunities in information technology, telecommunications, banking and financial services, healthcare, manufacturing, logistics, education, e-commerce, government institutions, and research organizations. They may also pursue postgraduate studies and advanced research in data science, artificial intelligence, machine learning, and related disciplines. The program provides a foundation for lifelong learning and professional development, enabling graduates to adapt to evolving technologies and contribute to innovative, responsible, and data-driven solutions across multiple sectors.

Admission Requirements

Applicants seeking admission to the Bachelor of Artificial Intelligence, Major Data Science, must hold a recognized secondary school certificate or an equivalent qualification accepted by the Arab Academy for Science, Technology and Maritime Transport (AASTMT), in accordance with the admission regulations applicable to the academic year. Applicants must satisfy the Academy's general admission requirements and any additional requirements established for the College of Artificial Intelligence. Admission is subject to the verification of academic qualifications, submission of the required documents, and fulfillment of the applicable admission procedures. Applicants holding qualifications from educational systems other than the Egyptian secondary education system must meet the relevant equivalency and certification requirements established by the competent authorities and the Academy.

Tests & Prerequisites

Applicants must comply with the admission assessment and placement testing requirements established by the Arab Academy for Science, Technology and Maritime Transport (AASTMT) for the relevant academic year. Depending on the applicable admission regulations and the applicant's educational background, assessments may include English language proficiency and placement tests in relevant foundational subjects. Applicants may also be required to complete additional assessments or satisfy specific conditions determined by the Academy. The applicable tests, minimum scores, exemptions, and placement requirements are subject to the official admission policies of the Academy for the relevant academic year.

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Brief

The Bachelor of Artificial Intelligence, Major Data Science, is a four-year undergraduate program designed to equip students with the knowledge and practical skills required to analyze complex datasets, develop intelligent solutions, and support data-driven decision-making. The program integrates mathematics, statistics, programming, artificial intelligence, machine learning, deep learning, database systems, and data analytics. Through theoretical study, laboratory practice, professional training, and graduation projects, students develop the technical, analytical, and problem-solving competencies needed to address real-world challenges across various industries..