Program Classification / Faculty: Bachelor of Computer and Information Sciences— Data Science and Analytics Program

Years of Study / Required Hours for Graduation: 4 years/ 137 hours

Language of Instruction: English

Career Opportunities:

Main job opportunities include:

* Data Scientist: Big data analysis, predictive modeling, and machine learning.

* Data Analyst: Extracting analytical reports to support decision-making based on available data.

* Data Engineer: Designing and building big data management and processing systems.

* Business Intelligence (BI) Analyst: Using business analytics tools to derive operational insights.

* Machine Learning Engineer: Building and training AI/ML models to predict outcomes or classify data.

* AI Engineer: Designing and developing AI-based solutions.

* Marketing Data Analyst: Analyzing customer behavior, advertising campaigns, and digital marketing.

* Cybersecurity Data Analyst: Using data for early detection of threats and cyberattack analysis.

* Quantitative Data Analyst: Specializing in building mathematical and statistical models for financial data analysis and complex investment decisions.

* Data Architecture Engineer: Designing, building, and maintaining data infrastructure systems for storage, transfer, and preparation for later analysis.

Target Employment Sectors:

* Financial and Banking Sector: Risk analysis, market forecasting, and fraud detection.

* Healthcare and Medical Informatics: Patient data analysis, medical decision support, and health records management.

* E-Commerce Sector: Consumer behavior analysis, and optimizing marketing and sales strategies.

* Telecommunications: Network data analysis, service quality enhancement, and customer behavior studies.

* Government and Public Services: Demographic data analysis, urban planning, and public service tracking.

* Energy and Utilities: Consumption forecasting, and network efficiency optimization.

* Transportation and Logistics: Traffic analysis, supply chain optimization, and demand forecasting.

* Digital Media and Marketing: Audience data analysis and digital advertising campaign evaluation.

* Government Sector: Digital transformation, smart governance, and data-driven decision-making.

* E-learning and Smart Education: Student performance analysis and personalized content development.

* Education and Research Institutions: Academic performance data analysis, curriculum improvement, and administrative decision support.

* Technology and Software Companies: Building business intelligence platforms, data analysis tools, and recommendation systems.

Why do you choose to enroll at Ain Shams National Faculty of Computer Science and Artificial intelligence?

The Data Science and Analytics program offers an integrated curriculum covering data analysis, machine learning, big data management, data mining, AI, and statistical modeling. It meets the growing global demand for experts capable of effectively managing, analyzing, and interpreting large, complex datasets. As industries increasingly rely on data-driven decision-making and innovation, demand continues to rise for data science professionals. This demand is expected to grow with accelerating digital transformation across sectors. The program responds to national and regional needs for specialists in big data analytics and AI, aligned with global trends. It aims to equip students with knowledge and skills to understand, process, and convert big data into actionable insights supporting decision-making across sectors. The program blends theoretical concepts with practical applications in statistics, programming, machine learning, and complex big data analysis using modern tools and environments. It covers essential topics like exploratory data analysis, statistical modeling, databases, AI, and data ethics, linking technical knowledge to practical applications through real-world projects and applications in fields like healthcare, business, and technology. It addresses the full data life cycle, from specification, collection, and cleaning to management, analysis, and policy-setting based on insights. Graduates will be prepared for an evolving job market with increasing demand for data science and analytics specialists in both government and private sectors. It also offers a strong foundation for those interested in postgraduate studies in this promising field. An ideal choice for ambitious students looking to understand the world through data and contribute to evidence-based, data-driven decision-making.