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Data science is an interdisciplinary field that combines statistical and computational methods to extract insights and knowledge from data. Students in this field learn statistics, programming, machine learning, and data management using tools like Python, R, Tableau, PowerBI, and AWS Azure. For ease of students, we offer a list of trending data science dissertation topics.
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List of Latest Data Science Research Topics 2025
Topic 1: Predictive Modeling for Disease Outbreaks: Leveraging Data Science to Enhance Early Detection and Response
Research Aim: This study aims to leverage data science techniques, including machine learning and predictive modelling, to enhance early detection and response to disease outbreaks. Utilizing epidemiological data and real-time monitoring, the research seeks to develop and evaluate models that can predict the spread of infectious diseases and inform timely intervention strategies.
Topic 2: Anomaly Detection in Cybersecurity: Advancing Techniques for Identifying and Mitigating Unusual Network Behavior
Research Aim: The research aims to advance techniques for anomaly detection in cybersecurity using data science methods. Through the analysis of network traffic patterns and machine learning algorithms, this study seeks to enhance the accuracy and efficiency of detecting unusual activities, contributing to improved cybersecurity measures.
Topic 3: Fairness and Accountability in Algorithmic Decision-Making: A Data Science Approach to Addressing Bias
Research Aim: This study aims to address bias in algorithmic decision-making through a data science approach focused on fairness and accountability. Employing fairness metrics and large-scale data analysis, the research seeks to identify, mitigate, and prevent biases in machine learning models, contributing to the development of fair and transparent decision systems.
Topic 4: Temporal Analysis of Social Media Data: Unraveling Patterns and Trends in Information Diffusion
Research Aim: The research aims to unravel patterns and trends in information diffusion through temporal analysis of social media data. Using data science techniques such as time-series analysis and network modelling, this study seeks to understand the dynamics of information spread, user engagement, and the impact of temporal factors on social media trends.
Topic 5: Personalized Learning Analytics: Utilizing Educational Data Science to Enhance Student Performance and Engagement
Research Aim: This study aims to utilize educational data science to enhance student performance and engagement through personalized learning analytics. Employing learning management system data and machine learning algorithms, the research seeks to develop and evaluate personalized interventions that cater to individual learning styles and needs.
Quality Research Topics in Data Science
Topic 6: Predicting the Spread of Infectious Diseases Using Data Science Techniques
Research Aim: This study investigates data science techniques for predicting the spread of infectious diseases. Also provides insights into how data science can improve our understanding of infectious disease transmission dynamics and aid in developing effective disease control and prevention strategies. This research uses a qualitative method to conclude the results.
Topic 7: Analysing the Performance of Machine Learning Algorithms for Predicting Stock Prices
Research Aim: The aim of this study is to analyse the performance of machine learning algorithms for predicting stock prices. Also, determine the most effective machine learning algorithms for predicting stock prices and the factors that impact their performance. This research uses the mixed-method approach to conclude.
Topic 8: Investigating the Impact of Data Science on Decision-Making in Business Organizations
Research Aim: The aim of this research topic for data science is to investigate the impact of data science on decision-making in business organisations. This research provides insights into how data science can improve decision-making in business organisations and enhance their competitive advantage. This study uses a mixed-method approach to conclude the results.
Topic 9: Developing a Predictive Maintenance System Using Data Science Techniques for Manufacturing Industry
Research Aim: The aim of this study is to develop a predictive maintenance system using data science techniques for the manufacturing industry. This data analytics thesis topic provides insights into how data science can be used to improve maintenance processes in manufacturing industries and reduce downtime. This research uses a comprehensive literature review to identify key factors that impact equipment performance and predictive maintenance models.
Topic 10: Assessing the Effectiveness of Data Science Approaches for Sentiment Analysis of Customer Reviews on Online Platforms
Research Aim:This research assesses the effectiveness of data science approaches for sentiment analysis of customer reviews on online platforms. It also analyses customer reviews of products or services on online platforms like Amazon or Yelp. It uses data science techniques to classify the sentiment of the reviews as positive, negative, or neutral. This study adopts a mixed-method approach to conclude.
Trending Thesis Topics in Data Science For 2025
Topic 11: Data Science Techniques for Predicting User Behavior on Social Media Platforms
Research Aim: This data science thesis topic aims to develop data science techniques that predict user behaviour on social media platforms. It identifies key predictors of user behaviour, such as user demographics, interests, and online activity. It develops machine learning models that accurately predict user behaviour based on these factors. This research uses the mixed-method approach to conclude.
Topic 12: Developing a Data Science Framework for Cybersecurity Threat Detection
Research Aim:The research focuses on identifying key features and metrics to identify cyber threats. It also develops machine learning models that accurately detect and classify these threats. The goal of this data science project topic is to provide a more efficient and effective way of detecting cyber threats and enhancing the overall cybersecurity posture of organisations. This study uses a qualitative approach to conclude.
Topic 13: Analysis of Medical Data Using Data Science Techniques for Early Diagnosis of Diseases
Research Aim: The aim of this data science research paper topic is to analyse medical data using data science techniques for the early diagnosis of diseases. This research provides a more efficient and effective way of diagnosing diseases in their early stages, improving patient outcomes and reducing healthcare costs. This study adopts a mixed-method approach to conclude the results.
Topic 14: The Role of Data Science in Optimizing Supply Chain Management
Research Aim:The aim of this study is to investigate the role of data science in optimising supply chain management. This data science topic for research determines key challenges in supply chain management and how data science techniques can be used to overcome these challenges. This research adopts literature reviews to find the results.
Topic 15: Investigating the Effectiveness of Data Science Approaches for Fraud Detection in Financial Transactions
Research Aim: The aim of this research is to investigate the effectiveness of data science approaches for fraud detection in financial transactions. It provides insights into how data science can improve fraud detection accuracy and effectiveness in financial transactions, leading to cost savings and improved security. This study uses a mixed-method approach to conclude.
Quality Data Science Dissertation Topics For Undergraduate Students in 2025
Topic 16. Analysing the Impact of Machine Learning Algorithms on Predicting Stock Market Trends: A Quantitative Study
Topic 17. Examining the Effectiveness of Predictive Analytics in Healthcare Decision-Making: A Case Study
Topic 18. Assessing the Use of Data Visualisation Tools in Enhancing Business Decision-Making: A Systematic Study
Topic 19. Understanding the Role of Big Data in Personalising Marketing Strategies: A Qualitative Study
Topic 20. Evaluating the Impact of Data Mining Techniques on Consumer Behaviour Analysis: A Quantitative Study
Topic 21. Analysing the Role of Deep Learning in Image Recognition: A Case Study
Topic 22. Examining the Effectiveness of Data Enrichment in Enhancing Customer Profiles for Targeted Marketing: A Systematic Study
Topic 23. Assessing the Impact of Data Privacy Regulations on Data Science Practices: A Quantitative Study
Topic 24. Understanding the Role of Natural Language Processing in Automating Customer Service: A Qualitative Study
Topic 25. Evaluating the Use of Clustering Algorithms for Customer Segmentation in E-commerce: A Case Study
Topic 26. Analysing the Impact of Feature Selection on the Accuracy of Machine Learning Models: A Quantitative Study
Topic 27. Examining the Role of Recommender Systems in Personalising Online Shopping Experiences: A Systematic Study
Topic 28. Assessing the Use of Data Science in Predicting Environmental Change: A Quantitative Study
Topic 29. Understanding the Application of Sentiment Analysis in Social Media Monitoring: A Case Study
Topic 30. Evaluating the Role of Supervised Learning in Financial Fraud Detection: A Systematic Study
Topic 31. Analysing the Application of Neural Networks in Speech Recognition: A Quantitative Study
Topic 32. Examining the Potential of Data Science in Optimising Supply Chain Management: A Case Study
Topic 33. Assessing the Impact of Big Data Analytics on Healthcare Predictive Modelling: A Systematic Study
Topic 34. Understanding the Role of Data Science in Enhancing Financial Portfolio Management: A Qualitative Study
Topic 35. Evaluating the Efficiency of Time Series Analysis for Predicting Sales Trends in Retail: A Quantitative Study
Topic 36. Analysing the Use of Data Science in Predicting Traffic Congestion: A Case Study
Topic 37. Examining the Role of Data Science in Risk Management in Financial Institutions: A Systematic Study
Topic 38. Assessing the Impact of Predictive Analytics on Reducing Energy Consumption: A Quantitative Study
Topic 39. Understanding the Application of Machine Learning in Healthcare Diagnostics: A Case Study
Topic 40. Evaluating the Impact of Data Science on Enhancing Cybersecurity Measures: A Systematic Study
Interesting Data Science Research Topics For Master Students in 2025
Topic 41. Analysing the Role of Predictive Analytics in Enhancing Business Performance: A Quantitative Study
Topic 42. Examining the Impact of Data Visualisation Tools on Decision-Making in Healthcare: A Case Study
Topic 43. Assessing the Effectiveness of Machine Learning Algorithms in Financial Risk Assessment: A Systematic Study
Topic 44. Understanding the Role of Data Science in Personalising Customer Experience in E-commerce: A Qualitative Study
Topic 45. Evaluating the Application of Natural Language Processing for Sentiment Analysis in Social Media: A Case Study
Topic 46. Analysing the Impact of Big Data on Supply Chain Optimisation: A Quantitative Study
Topic 47. Examining the Use of Clustering Algorithms in Segmenting Customers for Targeted Marketing: A Systematic Study
Topic 48. Assessing the Potential of Deep Learning for Autonomous Vehicles: A Quantitative Study
Topic 49. Understanding the Role of Predictive Models in Enhancing Healthcare Outcomes: A Case Study
Topic 50. Evaluating the Application of Data Mining Techniques for Fraud Detection in Financial Services: A Systematic Study
Topic 51. Analysing the Role of Data Science in Disaster Management and Crisis Response: A Quantitative Study
Topic 52. Examining the Use of Neural Networks for Image Classification in Medical Diagnostics: A Case Study
Topic 53. Assessing the Effectiveness of Text Mining Techniques in Social Media Analytics: A Systematic Study
Topic 54. Understanding the Application of Data Science in Healthcare Predictive Modelling: A Qualitative Study
Topic 55. Evaluating the Impact of Data Analytics on Consumer Behaviour and Preferences in Retail: A Case Study
Topic 56. Analysing the Use of Artificial Intelligence in Enhancing Personalised Marketing Strategies: A Quantitative Study
Topic 57. Examining the Impact of Data Science on Predicting Financial Market Volatility: A Systematic Study
Topic 58. Assessing the Application of Big Data Analytics in Optimising Manufacturing Processes: A Case Study
Topic 59. Understanding the Role of Machine Learning in Fraud Detection in Credit Card Transactions: A Qualitative Study
Topic 60. Evaluating the Use of Supervised Learning Techniques for Customer Churn Prediction in Subscription-Based Models: A Quantitative Study
Topic 61. Analysing the Impact of Data Science on Healthcare Cost Reduction: A Systematic Study
Topic 62. Examining the Potential of Data Science in Environmental Sustainability: A Case Study
Topic 63. Assessing the Use of Data Mining in Enhancing Customer Retention Strategies in E-commerce: A Quantitative Study
Topic 64. Understanding the Role of Data Science in Social Network Analysis: A Qualitative Study
Topic 65. Evaluating the Effectiveness of Reinforcement Learning in Optimising Warehouse Logistics: A Case Study
Topic 66. Analysing the Impact of Data Science in Enhancing Sports Performance and Injury Prevention: A Quantitative Study
Topic 67. Examining the Role of Predictive Analytics in Enhancing Customer Experience in Travel and Hospitality: A Systematic Study
Topic 68. Assessing the Effectiveness of Data Science in Improving Public Health Decision-Making: A Case Study
Topic 69. Understanding the Use of Deep Learning for Image Super-Resolution in Medical Imaging: A Qualitative Study
Topic 70. Evaluating the Impact of Data Science on Enhancing Financial Portfolio Performance: A Quantitative Study
Topic 71. Analysing the Role of Data Science in Enhancing Customer Service Automation: A Case Study
Topic 72. Examining the Use of Unsupervised Learning Algorithms for Market Basket Analysis in Retail: A Systematic Study
Topic 73. Assessing the Potential of AI-Powered Data Science Tools in Personal Finance Management: A Quantitative Study
Topic 74. Understanding the Application of Data Science in Enhancing Climate Change Models: A Case Study
Topic 75. Evaluating the Effectiveness of Data Science in Healthcare Predictive Analytics for Disease Prevention: A Systematic Study
Topic 76. Analysing the Use of Machine Learning for Credit Scoring in the Financial Sector: A Quantitative Study
Topic 77. Examining the Role of Big Data in Optimising Customer Experience in Telecommunications: A Case Study
Topic 78. Assessing the Potential of Deep Learning Models for Predicting Customer Sentiment in E-commerce: A Systematic Study
Topic 79. Understanding the Use of Natural Language Processing for Automated Legal Document Review: A Case Study
Topic 80. Evaluating the Application of Data Science in Enhancing Crop Yield Prediction in Agriculture: A Quantitative Study
Top-Grade Data Science Thesis Topics For PhD Students in 2025
Topic 81. Analysing the Role of Explainable AI in Enhancing Trust in Predictive Models: A Systematic Study
Topic 82. Examining the Impact of Data Science in Predicting and Mitigating Cybersecurity Threats: A Case Study
Topic 83. Assessing the Role of Data Science in Predictive Maintenance for Industrial Machinery: A Quantitative Study
Topic 84. Understanding the Use of Data Science in Urban Mobility and Smart City Solutions: A Case Study
Topic 85. Evaluating the Impact of Data Science on Enhancing Personalised Learning in Education: A Systematic Study
Topic 86. Analysing the Effectiveness of Time Series Forecasting Techniques in Financial Market Analysis: A Quantitative Study
Topic 87. Examining the Role of Data Science in Climate Change Modelling and Risk Assessment: A Case Study
Topic 88. Assessing the Application of Machine Learning for Predicting Drug Responses in Personalised Medicine: A Systematic Study
Topic 89. Understanding the Role of Artificial Intelligence in Enhancing Data Privacy and Protection: A Qualitative Study
Topic 90. Evaluating the Integration of Big Data with IoT for Smart Healthcare Systems: A Case Study
Topic 91. Analysing the Impact of Deep Learning Models on Healthcare Image Analysis: A Quantitative Study
Topic 92. Examining the Use of Data Science for Real-Time Traffic Prediction and Management: A Systematic Study
Topic 93. Assessing the Role of Data Science in Enhancing Supply Chain Resilience: A Case Study
Topic 94. Understanding the Role of AI in Improving Financial Forecasting and Planning: A Quantitative Study
Topic 95. Evaluating the Use of Data Science for Automating Regulatory Compliance in the Financial Sector: A Systematic Study
Topic 96. Analysing the Impact of Big Data Analytics in Precision Agriculture: A Case Study
Topic 97. Examining the Role of Deep Learning in Enhancing Facial Recognition Technologies: A Quantitative Study
Topic 98. Assessing the Effectiveness of Machine Learning in Predicting Customer Lifetime Value: A Case Study
Topic 99. Understanding the Role of Predictive Analytics in Enhancing Disaster Management Systems: A Qualitative Study
Topic 100. Evaluating the Impact of Real-Time Data Analytics on Improving Energy Efficiency in Smart Grids: A Systematic Study
Topic 101. Analysing the Use of Big Data for Enhancing Consumer Sentiment Analysis in Retail: A Quantitative Study
Topic 102. Examining the Role of Data Science in Enhancing Public Policy Decision-Making: A Case Study
Topic 103. Assessing the Potential of Machine Learning in Predicting Environmental Pollution Levels: A Systematic Study
Topic 104. Understanding the Role of Data Science in Enhancing Predictive Models for Human Resource Management: A Case Study
Topic 105. Evaluating the Effectiveness of Supervised and Unsupervised Learning Models for Real-Time Fraud Detection: A Quantitative Study
Topic 106. Analysing the Role of Machine Learning in Optimising Customer Segmentation in E-commerce: A Case Study
Topic 107. Examining the Use of Data Science in Enhancing Operational Efficiency in Manufacturing: A Systematic Study
Topic 108. Assessing the Impact of Artificial Intelligence on Predictive Policing and Crime Prevention: A Quantitative Study
Topic 109. Understanding the Role of AI in Advancing Natural Language Processing for Healthcare Applications: A Case Study
Topic 110. Evaluating the Use of Reinforcement Learning Algorithms for Optimising Retail Pricing Strategies: A Systematic Study
Topic 111. Analysing the Role of Data Science in Predicting Climate Change Impacts on Agriculture: A Quantitative Study
Topic 112. Examining the Application of Data Science in Enhancing Risk Management Practices in Financial Institutions: A Case Study
Topic 113. Assessing the Use of Deep Learning Techniques for Enhancing Healthcare Predictive Modelling: A Systematic Study
Topic 114. Understanding the Role of Data Science in Enhancing Urban Planning and Smart Infrastructure: A Case Study
Topic 115. Evaluating the Impact of Predictive Analytics on Enhancing Customer Retention in Subscription-Based Services: A Quantitative Study
Topic 116. Analysing the Role of Big Data Analytics in Managing Healthcare Costs: A Case Study
Topic 117. Examining the Use of Data Science for Enhancing Financial Forecasting Models in Banking: A Quantitative Study
Topic 118. Assessing the Impact of Data Science on Optimising Logistics and Supply Chain Efficiency: A Systematic Study
Topic 119. Understanding the Role of Artificial Intelligence in Enhancing Predictive Maintenance in Manufacturing: A Case Study
Topic 120. Evaluating the Use of Data Science in Forecasting Market Trends and Consumer Behaviour: A Quantitative Study
Most Researched Data Science Thesis Topics in 2025
Topic 121. Analysing the Role of Machine Learning Algorithms in Improving Healthcare Diagnostics: A Systematic Study
Topic 122. Assessing the Impact of Big Data Analytics on Retail Inventory Management: A Quantitative Study
Topic 123. Understanding the Effectiveness of Data Science in Mitigating Cybersecurity Threats: A Case Study
Topic 124. Examining the Application of Data Science in Optimising Renewable Energy Systems: A Systematic Study
Topic 125. Evaluating the Use of Predictive Analytics in Enhancing Customer Retention Strategies: A Quantitative Study
Topic 126. Assessing the Role of Data Science in Monitoring Climate Change Patterns: A Systematic Study
Topic 127. Understanding the Application of Natural Language Processing in Sentiment Analysis: A Case Study
Topic 128. Analysing the Efficiency of Recommendation Systems in E-commerce Platforms: A Quantitative Study
Topic 129. Examining the Role of Data Science in Reducing Urban Traffic Congestion: A Systematic Study
Topic 130. Evaluating the Potential of Data Science in Predicting Financial Market Volatility: A Quantitative Study
Topic 131. Assessing the Impact of Data Science on Enhancing Crop Yield Predictions in Agriculture: A Case Study
Topic 132. Understanding the Role of Data Science in Advancing Personalized Medicine: A Systematic Study
Topic 133. Analysing the Influence of Data Science on Social Media Marketing Strategies: A Quantitative Study
Topic 134. Examining the Application of Data Science in Enhancing Disaster Management and Response: A Case Study
Topic 135. Evaluating the Use of Data Science in Streamlining Financial Fraud Detection: A Systematic Study
Topic 136. Assessing the Role of Data Science in Predicting Student Performance in Education: A Quantitative Study
Topic 137. Understanding the Application of Data Science in Optimising Urban Waste Management Systems: A Case Study
Topic 138. Analysing the Role of Data Science in Enhancing Customer Experience in the Hospitality Industry: A Systematic Study
Topic 139. Examining the Use of Data Science in Tracking Disease Outbreaks and Spread Patterns: A Quantitative Study
Topic 140. Evaluating the Impact of Data Science on Smart City Development and Infrastructure: A Case Study
Topic 141. Assessing the Effectiveness of Data Science in Enhancing Water Resource Management: A Systematic Study
Topic 142. Understanding the Application of Data Science in Monitoring Air Pollution Levels: A Quantitative Study
Topic 143. Analysing the Role of Data Science in Predicting Consumer Behaviour in the Entertainment Industry: A Case Study
Topic 144. Examining the Use of Data Science in Developing Autonomous Vehicle Technologies: A Systematic Study
Topic 145. Evaluating the Impact of Data Science on Optimising Warehouse Management Systems: A Quantitative Study
Topic 146. Assessing the Role of Data Science in Enhancing Energy Efficiency in Smart Grids: A Systematic Study
Topic 147. Understanding the Application of Data Science in Advancing Human Resource Analytics: A Case Study
Topic 148. Analysing the Influence of Data Science on Fraud Prevention in Online Transactions: A Quantitative Study
Topic 149. Examining the Use of Data Science in Predicting Renewable Energy Generation Patterns: A Systematic Study
Topic 150. Evaluating the Role of Data Science in Detecting Anomalies in Manufacturing Processes: A Quantitative Study
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