MTech Thesis Topics in Computer Science

By: Engineer's Planet

MTech Computer Science thesis topics cover advanced areas like AI, machine learning, data science, and cybersecurity. These topics aim to address emerging issues, bridge theory and practice, and equip students with the skills to drive technological advancements and solve practical problems in various industries.

This study explores gender differences in autism spectrum disorder (ASD) linked to neonatal jaundice, using a dataset of 1,054 cases. Findings reveal boys with jaundice are more prone to ASD, emphasizing early diagnosis while acknowledging limitations

1. Gender differences in autism spectrum disorder

This thesis optimizes healthcare by developing a highly accurate machine learning classifier for detecting financial fraud and improving pneumonia diagnosis from chest imaging, addressing critical challenges in both financial and diagnostic aspects of healthcare.

2. Optimizing healthcare with machine learning

3. Enhancing brain tumor detection

This review proposes an ensemble model combining YOLOv5 and the Segment Anything Model (SAM) for enhanced brain tumor detection. The approach improves accuracy, precision, recall, and F1 scores, offering more effective and real-time tumor identification

4.  ROAD CRACK DETECTION AND SEGMENTATION

The next requirement is to select and provide suitable food in the right quantity to the astronauts while in space. This responsibility is given to the Defence Food Research Laboratory, which is situated in Mysuru.

In Conclusion, MTech Computer Science thesis topics offer a wide range of advanced research areas, from AI and machine learning to cybersecurity and data science. These topics are designed to address current technological challenges and contribute to societal advancements. By focusing on both theoretical and practical aspects, students can develop valuable skills and knowledge to drive innovation in the ever-evolving field of IT.