Data Science and AI Program
The Data Science and Artificial Intelligence (DSAI) program is an interdisciplinary field that combines statistics, big data analytics, and artificial intelligence to transform data into meaningful insights.
Program Details:
| Courses: 48 | Duration: 4 Years | Credit Hours: 132 Cr.Hrs. |
| Language of Study: English |
Annual Fees (Egyptian Students): 98,560 EGP | Annual Fees (Egyptian Students): 250 USD/ Cr. Hr. |
Program Overview
Students learn how to analyze complex datasets, build predictive models, and develop intelligent systems that support decision-making across industries.
The program equips students with strong foundations in data analysis, machine learning, and AI techniques, enabling them to solve real-world problems in sectors such as telecommunications, manufacturing, finance, healthcare, and marketing. By integrating theory with practical applications, DSAI prepares graduates to lead in a data-driven world.
What Does a Data Scientist & AI Specialist Do?
Data scientists and AI specialists analyze large datasets to uncover patterns, generate insights, and build predictive and intelligent models. They design machine learning systems, develop AI-driven applications, and support strategic decision-making using data. Their work helps organizations optimize performance, automate processes, forecast trends, and gain competitive advantage across a wide range of industries.
Potential Career Opportunities
Graduates of the Data Science and Artificial Intelligence program are prepared for high-impact roles across data-driven and AI-powered industries, including:
- Data Scientist – Extracting insights and building predictive models from complex datasets
Machine Learning Engineer – Designing and deploying intelligent learning systems - AI Researcher – Developing advanced algorithms and AI technologies
- Data Analyst & Business Intelligence Developer – Transforming data into strategic insights
Big Data Engineer – Managing and processing large-scale data systems - Predictive Modeling Specialist – Building forecasting and decision-support models
- NLP Engineer – Developing language-based AI systems and conversational technologies
- Computer Vision Engineer – Creating AI systems for image and video analysis
AI Product Manager – Leading the development of AI-driven products and solutions
Graduates are also well positioned to pursue advanced studies or research careers in artificial intelligence, data science, and related computational fields.
Accreditation
The University of Science and Technology at Zewail City is officially accredited by the Supreme Council of Universities in Egypt.
Key Areas of Study
The Data Science and Artificial Intelligence program builds strong foundations in computing, mathematics, and data-driven technologies, with emphasis on:
- Core principles of Data Science, Artificial Intelligence, and Machine Learning
Data analytics, visualization, and decision intelligence - Statistical modeling and applied mathematics for AI systems
- Design and deployment of intelligent systems and real-world AI applications
- Big data platforms and scalable data processing architectures
- Ethical, responsible, and trustworthy AI practices
Throughout the program, students apply these concepts through projects, labs, and real-world case studies to transform data into actionable insight.
Learning Outcomes
By the time they graduate, students of the Data Science and Artificial Intelligence program will be able to:
- Analyze complex data and computing problems using principles of mathematics, statistics, and computer science
- Design, implement, and evaluate intelligent solutions that meet real-world data and business needs
- Apply data science tools and techniques across the full analytics lifecycle — from data collection and modeling to interpretation and deployment
- Communicate technical insights effectively to both technical and non-technical audiences
- Demonstrate ethical and professional responsibility in data handling, AI development, and computing practice
- Work effectively in teams, contributing as both collaborative members and leaders
Graduation Requirements
To earn a Bachelor of Science in Data Science and Artificial Intelligence, students must complete 132 credit hours through a structured four-year study pathway that combines computing foundations, advanced AI specialization, and hands-on experience.
Degree Structure
University Requirements (16 Cr):
General education courses that strengthen communication skills, ethical awareness, sustainability understanding, and entrepreneurial thinking.
School Requirements (53 Cr):
Core mathematics and computing foundations, including programming, data structures, algorithms, databases, machine learning, artificial intelligence, networking, cybersecurity, internship training, and a two-semester Senior Project.
Program / Major Requirements (63 Cr):
Advanced coursework in data science and AI, including data acquisition (ETL), data mining, deep learning, computer vision, natural language processing, reinforcement learning, big data analytics, statistical inference, AI explainability, MLOps, and production-ready AI systems.
Students must submit a Program Declaration Form by the end of the first semester and are advised to work closely with academic advisors to ensure timely progression and graduation.
