The Data Science program for Computer Science/Maths/Statistics students focuses on the foundations of Python, data analysis, and visualization tools. Learners explore topics like data handling, probability, and basic machine learning. Through hands-on mini projects, students gain practical experience in tools such as Excel, Power BI, and Jupyter Notebook, building a strong analytical base for higher studies or entry-level data roles.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Security-Enhanced Wi-Fi Offloading Using Received Signal Strength and Multi-Factor Authentication | 2025 - 2026 |
| 2 | SQL Injection Prevention and Secure Authentication for High-Security Database Systems | 2025 - 2026 |
| 3 | Simplified and Secure Password Reformation with Secure Hashing Algorithms and Multi-Factor Authentication Techniques | 2025 - 2026 |
| 4 | Quantum-Based Artificial Intelligence Techniques for Ultra-Reliable Low Latency Communication in 6G Networks | 2025 - 2026 |
| 5 | Supervised Learning and Gustafson Techniques for Age-Based Facial Recognition Systems | 2025 - 2026 |
| 6 | Enhancing Wireless Localization Network Performance with Scheduling, Gradient Boosting Decision Trees, and Regenerative Braking Techniques | 2025 - 2026 |
| 7 | Optimized Mining of Frequent Itemsets Incorporating Average Utility Metrics Through Apriori Algorithm | 2025 - 2026 |
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