Dissertation Topics for Bachelor of Science in Data Science (Engineering)

Developing Predictive Models for Industrial Equipment Maintenance

Using Big Data to Optimize Supply Chain Management

Designing Machine Learning Algorithms for Autonomous Vehicles

Data-Driven Decisions in Manufacturing: Improving Efficiency and Quality

Building Intelligent Systems for Smart Cities Using Data Analytics

Predictive Analytics for Environmental Sustainability in Urban Areas

Building and Optimizing Data Pipelines for Real-Time Data Processing

AI and Data Science in Healthcare: Predicting Disease Outbreaks

Applying Data Science to Climate Change Modeling and Forecasting

Optimizing Renewable Energy Resources Using Data Science

Data-Driven Design: Engineering Smarter Consumer Electronics

Enhancing Cybersecurity Using Machine Learning and Data Science

Data Science for Personalizing Customer Experience in E-commerce

Building Scalable Data Models for Predicting Market Trends

Using Data Science for Smart Traffic Management Systems

Optimization of Electrical Grids Using Predictive Analytics

Data Science in Sports: Analyzing Player Performance and Game Strategies

Social Media Analytics: Understanding Trends and Public Opinion

Using Natural Language Processing for Automated Text Classification

Big Data and Blockchain: Engineering Secure and Scalable Systems

Enhancing Smart Agriculture Through Data Science and IoT Integration

Designing Advanced Data Visualization Tools for Complex Systems

Using Deep Learning for Image Recognition and Classification

Building Scalable Cloud Data Platforms for Big Data Analytics

Data Science for Disaster Prediction and Management

The Role of Artificial Intelligence in Engineering Design Optimization

Data Science for Real-Time Video Analytics in Smart Environments

Advanced Data Techniques for Personalized Learning in Education

Designing Predictive Models for Financial Market Analysis

Exploring the Ethics of Data Science in Engineering Applications