87 Unique Data Science Dissertation Topics for Students

When it comes to picking a dissertation topic in data science, it’s all about finding something that feels fresh, practical, and research-worthy. You want a topic that not only makes sense for your academic goals but also sparks interest when you dig into it. Below you’ll find a list of 87 unique data science dissertation topics spread across different areas of the field. These ideas should help you narrow down your choices and build something solid for your research.

Data Science Dissertation Topics

• Predicting mental health risks using social media patterns
• Analysing traffic accidents with real-time IoT data
• Energy consumption forecasting in smart homes
• Fake news detection using natural language processing
• Customer behaviour modelling in online retail
• Analysing global climate change with satellite data
• Predictive analytics for student dropout in universities
• Sentiment analysis of political debates on Twitter
• Analysing cyberattack trends with big data
• Predicting hospital readmissions using electronic health records
• Crop yield prediction with drone data
• Analysing music preferences with streaming platform data
• Early detection of diabetes using wearable sensor data
• Predicting success of Kickstarter campaigns
• Data-driven analysis of traffic congestion in urban areas
• Predicting fashion trends with Instagram posts
• Analysing customer churn in telecom companies
• Predicting housing market prices with machine learning
• Analysing air pollution levels in industrial cities
• Predicting water scarcity with satellite imagery
• Analysing financial fraud using transaction data
• Data-driven recommendation systems for online learning platforms
• Predicting success of new movies using box office data
• Analysing political campaign effectiveness with social media data
• Predicting earthquakes using geological sensor data
• Analysing the impact of remote work on productivity
• Predicting share price fluctuations using news articles
• Data-driven analysis of food delivery trends
• Analysing the effect of online reviews on product sales
• Predicting electricity demand in developing countries
• Analysing customer preferences in ride-hailing services
• Early detection of Alzheimer’s disease with MRI data
• Analysing the effect of weather on flight delays
• Predicting subscription cancellations for online platforms
• Analysing road safety with dashcam data
• Predicting supply chain disruptions using big data
• Analysing fake follower networks on Instagram
• Predicting default in peer-to-peer lending platforms
• Analysing the spread of misinformation during pandemics
• Predicting lottery sales with seasonal data
• Analysing the growth of electric vehicle markets
• Predicting trends in cryptocurrency trading
• Analysing sleep patterns with wearable devices
• Predicting wildfire spread with climate data
• Analysing global migration trends with open data
• Predicting maintenance needs for manufacturing machines
• Analysing speech recognition accuracy across languages
• Predicting student grades using online course data
• Analysing the impact of memes on public opinion
• Predicting voting behaviour with search engine data
• Analysing job market trends with LinkedIn data
• Predicting energy demand for electric vehicle charging
• Analysing music recommendation systems for diversity
• Predicting performance of eSports players with live data
• Analysing carbon emissions of shipping routes
• Predicting seasonal fashion sales
• Analysing streaming quality in video platforms
• Predicting demand for online grocery shopping
• Analysing gender bias in recruitment using AI tools
• Predicting health insurance claims using patient data
• Analysing podcast popularity trends
• Predicting crime hotspots in metropolitan areas
• Analysing fan engagement during live sports events
• Predicting coral reef bleaching with environmental data
• Analysing urban noise pollution using sensor data
• Predicting demand for renewable energy sources
• Analysing success of influencer marketing campaigns
• Predicting water quality changes in rivers
• Analysing the role of AI in personalised learning
• Predicting new drug discoveries using bioinformatics data
• Analysing online gaming addiction patterns
• Predicting success of new tech startups
• Analysing stress levels from facial recognition data
• Predicting demand for ride-sharing during events
• Analysing AI bias in facial recognition systems
• Predicting supply chain bottlenecks in global trade
• Analysing the effect of hashtags on campaign reach
• Predicting machine failures in aviation
• Analysing mental health trends in remote workers
• Predicting smart city traffic flow with big data
• Analysing the effect of emojis on digital communication
• Predicting new product adoption in consumer markets
• Analysing the role of big data in online dating apps
• Predicting exam cheating using online monitoring tools
• Analysing algorithmic fairness in recommendation systems
• Predicting global food shortages with agricultural data
• Analysing cultural trends through Netflix viewing habits

Final Thoughts

Choosing your dissertation topic doesn’t have to feel like a guessing game. The list above shows just how wide-ranging and practical data science research can be. Think about your own interests, your available resources, and the kind of impact you want your work to have. The right topic will not only keep you motivated but will also let you contribute something meaningful to the field.