- About the program
- Subjects
Certificate awarded
Bachelor of Science
Major
Program outcomes
A graduate of the Data Analysis department possesses the following characteristics:
- A solid understanding of the fundamentals of various aspects of business administration (management, accounting, economics, finance, and investment).
- A broad and robust knowledge of both physical and intellectual information technologies.
- A strong grasp of mathematical and statistical tools and knowledge, enabling them to model and extract useful indicators and information.
- A broad range of technical skills in application software and programming languages.
- A versatile and adaptable individual; they are critical thinkers, effective communicators, team players, and can work under pressure.
Program objectives
• Developing highly qualified human resources capable of competing globally in the field of data analysis.
• Providing a suitable learning environment for students in the department.
• Continuously developing laboratories and software related to data analysis.
• Training staff in the college and in public and private institutions on using information technology in data analysis and information extraction to enhance their efficiency and competitiveness.
• Collaborating and integrating with all relevant institutions to improve the outcomes of the educational process.
Job Market
A graduate of the Data Analysis department is qualified for any of the following positions:
- Data Analyst: Uses mathematical, statistical, and artificial intelligence tools to extract indicators and results from databases and present them in a useful and relevant format for decision-makers.
- Information Management Manager
- Systems Analyst: Analyzes the business environment and identifies its information needs.
- Systems Designer: Designs the information infrastructure for organizations.
Description
Program content
Duration
8 Terms
General credits
55
Elective credits
15
Compulsory credits
54
Total credits
127
| Subject code | Subject name | Credits | Subject type | Subject prerequisites |
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| 146 | Programming Fundamentals | 3 | Compulsory | - |
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| 147 | Discrete Mathematics | 3 | Compulsory | 146 |
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| 148 | Information System's Project Management | 3 | Compulsory | - |
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| 241 | Data Structures I | 3 | Compulsory | 242 |
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| 242 | C Programming | 3 | Compulsory | 146 |
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| 243 | Logic Design | 3 | Elective | - |
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| 244 | Operating System | 3 | Compulsory | 148 |
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| 246 | Advanced Mathematics | 3 | Elective | - |
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| 248 | Web Programming | 3 | Compulsory | 146 |
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| 340 | Mathematical Statistics | 3 | Compulsory | - |
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| 342 | Data Structures II | 3 | Compulsory | 241 |
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| 343 | Somputers Structure | 3 | Elective | 243 |
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| 344 | Systems Analysis and Design | 3 | Compulsory | 148 |
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| 345 | Numerical Analysis | 3 | Elective | 246 |
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| 346 | Computer Networks | 3 | Elective | 148 |
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| 348 | Applied Statistics | 3 | Compulsory | - |
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| 349 | Regression Analysis | 3 | Compulsory | 348 |
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| 441 | Databases | 3 | Compulsory | 344 |
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| 442 | Database programming | 3 | Compulsory | 441 |
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| 443 | Selected Topics | 3 | Elective | 448 |
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| 444 | Data security | 3 | Elective | 441 |
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| 445 | Nonparametric statistics | 3 | Elective | 340 |
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| 446 | Artificial intelligence | 3 | Elective | 448 |
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| 447 | Population Census | 3 | Elective | 340 |
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| 448 | C++ Programming | 3 | Compulsory | 242 |
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| 540 | Time series | 3 | Compulsory | 349 |
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| 541 | Data mining | 3 | Elective | 441 |
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| 550 | Graduation project | 3 | Compulsory | - |
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| 210 | Microeconomic Analysis 1 | 3 | Compulsory | - |
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| 211 | Macroeconomic Analysis | 3 | Compulsory | - |
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| 322 | Operations Research 1 | 3 | Compulsory | - |
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| 400 | Research methods | 3 | Compulsory | - |
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| 327 | Entrepreneurship | 3 | Elective | - |
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| 323 | Operations Research 2 | 3 | Compulsory | 322 |
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| 310 | Econometrics | 3 | Elective | - |
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| 220 | Production Operations Management | 3 | Elective | - |
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| 313 | Money and Banking | 3 | Elective | - |
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| 145 | Pascal Language | 3 | Elective | - |
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