The Data Science & Artificial Intelligence program (DSAI) is an interdisciplinary program that combines computer science, statistics, and mathematics. This program equips students with advanced techniques and tools for data-driven decision-making and intelligent system development.
Courses
| # | Course Code | Course Title | Credit Hours | Core / Elective | Prerequisites Courses |
|---|---|---|---|---|---|
| 1 | 00102N | Calculus | 3 | Core | No Prerequisites Courses |
| 2 | 00103N | Introduction to Computer Systems | 3 | Core | No Prerequisites Courses |
| 3 | 00105N | Programming I | 3 | Core | No Prerequisites Courses |
| 4 | 00107N | Discrete Structures | 3 | Core | No Prerequisites Courses |
| 5 | 00110N | Programming II | 3 | Core | 00105N |
| 6 | 0X006N | Man and Environment | 2 | Elective | No Prerequisites Courses |
| 7 | 0X011N | English for CS | 2 | Elective | No Prerequisites Courses |
| 8 | 0X020N | Communication skills | 2 | Elective | No Prerequisites Courses |
| 9 | 00101N | Linear Algebra | 3 | Core | No Prerequisites Courses |
| 10 | 00104N | Introduction to Data Sciences | 3 | Core | No Prerequisites Courses |
| 11 | 00106N | Probability and Statistics I | 3 | Core | No Prerequisites Courses |
| 12 | 0X005N | Self-management | 2 | Elective | No Prerequisites Courses |
| 13 | 0X009N | Technical writing | 2 | Elective | No Prerequisites Courses |
| 14 | 00108N | Data Structures and Algorithms | 3 | Core | 00105N |
| 15 | 00109N | Introduction to Artificial Intelligence | 3 | Core | 00107N |
| 16 | 00201N | Probability and Statistics II | 3 | Core | 00106N |
| 17 | 00202N | Introduction to Databases | 3 | Core | 00105N |
| 18 | 00203N | Numerical Computations | 3 | Core | 00101N |
| 19 | 01202N | Optimization Methods | 3 | Core | 00101N , 00102N |
| 20 | 03202N | Data Science Methodology | 3 | Core | 00104N |
| 21 | 03203N | Data Science Tools and Software | 3 | Core | 00104N , 00201N |
| 22 | 00206N | Data Mining and Analytics | 3 | Core | 00201N |
| 23 | 00207N | Computer Networks | 3 | Core | 00103N , 00105N |
| 24 | 00305N | Machine Learning | 3 | Core | 00109N , 00101N |
| 25 | 01201N | Smart Systems and Computational Intelligence | 3 | Core | 00109N |
| 26 | 01204N | Neural Networks | 3 | Core | 00109N |
| 27 | 03204N | Regression Analysis | 3 | Core | 00201N |
| 28 | 0X007N | Critical Thinking | 2 | Core | No Prerequisites Courses |
| 29 | 00204N | Web Programming | 3 | Elective | 00105N |
| 30 | 01301N | Intelligent Programming | 3 | Elective | 00108N , 00109N |
| 31 | 00306N | Cloud Computing | 3 | Core | 00108N |
| 32 | 03301N | Stochastic Processes | 3 | Core | 00101N , 00201N |
| 33 | 03303N | Data Visualization Tools | 3 | Core | 03203N |
| 34 | 03304N | Data Computation and Analysis | 3 | Core | 00206N , 00305N |
| 35 | 0X008N | Innovation & Entrepreneurship | 2 | Core | No Prerequisites Courses |
| 36 | 00205N | Mobile Programming | 3 | Elective | 00105N |
| 37 | 00302N | Systems Analysis and Design | 3 | Elective | 00202N |
| 38 | 01306N | Pattern Recognition | 3 | Core | 00101N , 00106N |
| 39 | 01401N | Deep Learning | 3 | Core | 00305N , 01204N |
| 40 | 00301N | Software Engineering | 3 | Elective | 00110N |
| 41 | 00303N | Analysis and Design of Algorithms | 3 | Elective | 00108N |
| 42 | 01305N | Computer Vision | 3 | Core | 00101N , 00109N |
| 43 | 01403N | Natural Language Processing | 3 | Core | 00305N |
| 44 | 03402N | Introduction to Social Networks | 3 | Core | 00201N |
| 45 | 03404N | Project I | 3 | Core | No Prerequisites Courses |
| 46 | 00304N | Distributed Processing | 3 | Elective | 00103N , 00108N |
| 47 | 01409N | Speech Recognition | 3 | Elective | 01303N |
| 48 | 01412N | Intelligence Technology Trends | 3 | Elective | 00109N |
| 49 | 01413N | Internet of Things II | 3 | Elective | 01402N |
| 50 | 01416N | Game Theory | 3 | Elective | 01202N |
| 51 | 01417N | Business Intelligence Analysis | 3 | Elective | 03303N |
| 52 | 03409N | Convex Optimization | 3 | Elective | 00101N , 00203N , 01201N |
| 53 | 03412N | Bayesian Statistics | 3 | Elective | 00201N |
| 54 | 03414N | Concurrent Algorithms and Data Structures | 3 | Elective | 00108N |
| 55 | 03416N | Advanced Database Systems | 3 | Elective | 00202N |
| 56 | 01405N | Reinforcement Learning | 3 | Core | 00305N , 01202N |
| 57 | 03401N | Big Data Analytics | 3 | Core | 00105N , 00206N , 00305N |
| 58 | 03408N | Project II | 3 | Core | 03404N |
| 59 | 01410N | Natural Language Understanding | 3 | Elective | 01403N |
| 60 | 01414N | Knowledge-Based AI | 3 | Elective | 00305N |
| 61 | 03410N | Non-Linear and Combinatorial Optimization | 3 | Elective | 00101N , 00108N |
| 62 | 03411N | Multivariate Statistical Analysis | 3 | Elective | 00201N |
| 63 | 03415N | Distributed Database Systems | 3 | Elective | 00202N |
| 64 | 03418N | Advanced Topics in Data Science and AI | 3 | Elective | 00109N , 00305N |
Related Programs
Anu
Alexandria National University, a program-based university founded in 2022. It is affiliated to a unified administration linked to Alexandria University. It is committed to providing the students with a rigorous and challenging education that will prepare them for success in their chosen careers and in life.The university offers a wide range of undergraduate and graduate programs, all taught by world-class faculty.
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