IEEE 2026 Data Science Final Year Projects for CSE, IT, BE, BTech & MTech Students in Bangalore
Data Science is one of the fastest-growing technology domains in 2025–2026, driven by the explosion of structured and unstructured data across healthcare, finance, retail, social media and enterprise systems. At ProjectsatBangalore, we deliver 38+ IEEE 2025–2026 data science final year projects for CSE, IT, BE, BTech and MTech students across 12 data science domains. Our data science project topics span predictive analytics projects, big data analytics projects, data visualization projects, recommendation system projects, natural language processing projects, NLP projects, sentiment analysis projects, time series forecasting projects, customer segmentation projects, churn prediction projects, healthcare data science projects, financial data science projects, stock market prediction projects, fraud detection data science projects, data mining projects, exploratory data analysis projects, machine learning data science projects, deep learning data science projects, data engineering projects, ETL pipeline projects, data warehousing projects, business intelligence projects, regression analysis projects, classification model projects, clustering analysis projects, anomaly detection data science projects, social media analytics projects and image data analysis projects. Every project includes an IEEE Xplore 2025–2026 base paper, complete data science projects with source code (Python / R), trained ML/DL models, dataset references, university-format project report for VTU / Anna University / JNTU, PPT and viva Q&A support.
Data Science Project Domains We Cover
- data science projects for CSE and data science projects for IT
- predictive analytics projects and regression analysis projects
- big data analytics projects using Hadoop and Apache Spark
- data visualization projects and business intelligence projects
- recommendation system projects (collaborative & content-based)
- natural language processing projects and NLP projects
- sentiment analysis projects on social media and reviews
- time series forecasting projects using ARIMA and Prophet
- customer segmentation projects and churn prediction projects
- healthcare data science projects for disease prediction
- financial data science projects and stock market prediction
- fraud detection data science projects on transaction data
- data mining projects and clustering analysis projects
- exploratory data analysis projects (EDA)
- machine learning data science projects
- deep learning data science projects
- data engineering projects and ETL pipeline projects
- data warehousing projects
- classification model projects
- anomaly detection data science projects
- social media analytics projects
- image data analysis projects
- data science projects vtu and data science projects anna university
Tools & Software Platforms for Data Science Projects
All languages, ML/DL frameworks, big data tools and visualization platforms used across our 38+ IEEE 2026 data science projects for CSE and IT students — covering predictive analytics projects, big data analytics projects, data visualization projects, natural language processing projects and more.
Python 3.x
R Programming
Pandas / NumPy
Scikit-Learn
TensorFlow / Keras
PyTorch
Hadoop HDFS
Apache Spark
Power BI
Tableau
Matplotlib / Seaborn
NLTK
SpaCy
Prophet / ARIMA
MySQL / PostgreSQL
MongoDB
Jupyter / Google Colab
Flask / Streamlit
Core Data Science Techniques Used in Final Year Projects
Regression Analysis
Linear, polynomial & ensemble regressors
ML/DL Classification
XGBoost, Random Forest, CNN, LSTM models
K-Means Clustering
Customer segmentation & pattern grouping
NLP & Sentiment
Tokenization, TF-IDF, transformer models
Time Series Forecasting
ARIMA, Prophet, LSTM sequence prediction
Big Data Processing
Distributed computing with Spark / Hadoop
Recommendation Engine
Collaborative & content-based filtering
ETL & Data Pipeline
Data cleaning, transformation & loading
Interactive Dashboards
Power BI / Tableau real-time visualization
Healthcare Analytics
Disease prediction & diagnostic modeling
Anomaly Detection
Fraud & outlier scoring algorithms
Explainable AI
SHAP / LIME interpretable model insights
38+ IEEE 2026 Data Science Project Topics
Browse all data science project ideas by domain — each topic includes IEEE base paper, Python/R source code, ML/DL model files where applicable, architecture diagram, university-format report, PPT and viva support. Covering data science mini projects, data science major projects and data science research projects for CSE, IT, BE, BTech and MTech students in Bangalore.
Predictive Analytics Projects
Predictive analytics projects, regression analysis projects, classification model projects using ensemble methods
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 01 | Customer Churn Prediction for Telecom Industry Using Ensemble Machine Learning | Python · Scikit-learn · XGBoost · Telco Dataset | Random Forest / XGBoost Classification |
| 02 | House Price Prediction Using Multiple Linear and Polynomial Regression Models | Python · Pandas · Scikit-learn · Kaggle Dataset | Regression Analysis + Feature Engineering |
| 03 | Employee Attrition Prediction Using Machine Learning Classification Models | Python · Scikit-learn · IBM HR Dataset | Logistic Regression / Random Forest |
| 04 | Student Academic Performance Prediction Using Decision Tree and SVM | Python · Scikit-learn · UCI Student Dataset | Decision Tree / SVM Classification |
| 05 | Crop Yield Prediction Using Machine Learning on Weather and Soil Data | Python · Pandas · Random Forest Regressor | Multivariate Regression Modeling |
Big Data Analytics Projects
Big data analytics projects using Hadoop and Apache Spark for large-scale distributed data processing
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 06 | Retail Sales Forecasting Using Big Data Analytics with Apache Spark MLlib | Apache Spark · PySpark · Hadoop HDFS | Distributed Regression Modeling |
| 07 | Real-Time Traffic Data Analysis Using Spark Streaming and Kafka | Spark Streaming · Apache Kafka · Python | Stream Processing & Aggregation |
| 08 | Large-Scale Log Analytics for System Performance Monitoring Using Hadoop MapReduce | Hadoop MapReduce · Hive · Python | Distributed Log Aggregation |
| 09 | Big Data Driven Customer Behavior Analysis for E-Commerce Platforms | PySpark · Hadoop · MongoDB | Distributed Behavioral Clustering |
Data Visualization & Business Intelligence Projects
Data visualization projects, business intelligence projects, exploratory data analysis projects using interactive dashboards
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 10 | Interactive Sales Performance Dashboard for Business Intelligence Using Power BI | Power BI · SQL Server · DAX | Interactive Dashboard Design |
| 11 | Exploratory Data Analysis and Visualization of COVID-19 Global Trends | Python · Matplotlib · Seaborn · Pandas | Statistical EDA & Trend Visualization |
| 12 | HR Analytics Dashboard for Workforce Insights Using Tableau | Tableau · Excel · SQL | Multi-Dimensional BI Dashboard |
| 13 | Real-Time IoT Sensor Data Visualization Dashboard for Smart Manufacturing | Python · Plotly Dash · MQTT | Real-Time Streaming Visualization |
Recommendation System Projects
Recommendation system projects using collaborative filtering, content-based and hybrid approaches
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 14 | Movie Recommendation System Using Collaborative Filtering on MovieLens Dataset | Python · Surprise Library · MovieLens Dataset | Matrix Factorization (SVD) |
| 15 | E-Commerce Product Recommendation Engine Using Hybrid Filtering Approach | Python · Scikit-learn · Flask · MySQL | Hybrid Collaborative + Content-Based |
| 16 | Personalized News Article Recommendation Using Content-Based Filtering and NLP | Python · TF-IDF · Cosine Similarity | Content-Based NLP Recommendation |
Natural Language Processing & Sentiment Analysis Projects
Natural language processing projects, NLP projects, sentiment analysis projects on text, reviews and social media
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 17 | Twitter Sentiment Analysis on Public Opinion Using Deep Learning | Python · NLTK · LSTM · Twitter API | LSTM-Based Sentiment Classification |
| 18 | Product Review Sentiment Classification Using BERT Transformer Model | Python · Hugging Face BERT · PyTorch | Transformer-Based Fine-Tuning |
| 19 | Automatic Text Summarization for News Articles Using NLP Techniques | Python · SpaCy · Transformers · NLTK | Extractive + Abstractive Summarization |
| 20 | Resume Screening and Job Matching System Using NLP and Named Entity Recognition | Python · SpaCy · Scikit-learn · Flask | NER + TF-IDF Similarity Matching |
Time Series Forecasting Projects
Time series forecasting projects using ARIMA, Prophet and LSTM for sequential data prediction
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 21 | Stock Market Price Prediction Using LSTM-Based Time Series Forecasting | Python · TensorFlow · Keras · Yahoo Finance API | LSTM Sequence Prediction |
| 22 | Electricity Demand Forecasting Using Facebook Prophet Model | Python · Prophet · Pandas | Additive Time Series Decomposition |
| 23 | Weather Temperature Forecasting Using ARIMA and Seasonal Decomposition | Python · Statsmodels · ARIMA | ARIMA / SARIMA Forecasting |
Healthcare Data Science Projects
Healthcare data science projects for disease prediction, diagnostic modeling and patient risk scoring
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 24 | Heart Disease Prediction Using Machine Learning Ensemble Classifiers | Python · Scikit-learn · UCI Heart Dataset | Ensemble Voting Classification |
| 25 | Diabetes Risk Prediction Using Logistic Regression and Random Forest | Python · Scikit-learn · PIMA Dataset | Logistic Regression / Random Forest |
| 26 | Breast Cancer Detection from Medical Data Using Deep Neural Networks | Python · TensorFlow · Wisconsin Dataset | DNN Binary Classification |
Financial Data Science Projects
Financial data science projects, fraud detection data science projects, stock market prediction and risk analytics
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 27 | Credit Card Fraud Detection Using Machine Learning on Imbalanced Data | Python · Scikit-learn · SMOTE · Kaggle Dataset | XGBoost + SMOTE Class Balancing |
| 28 | Loan Default Risk Prediction Using Machine Learning Classification Models | Python · Scikit-learn · LendingClub Dataset | Gradient Boosting Classification |
| 29 | Customer Lifetime Value Prediction for Banking Using Regression Models | Python · Pandas · Scikit-learn | Regression-Based CLV Modeling |
Data Mining & Clustering Analysis Projects
Data mining projects, clustering analysis projects, customer segmentation projects using unsupervised learning
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 30 | Customer Segmentation for Retail Marketing Using K-Means Clustering | Python · Scikit-learn · Mall Customer Dataset | K-Means Unsupervised Clustering |
| 31 | Market Basket Analysis Using Apriori Algorithm for Association Rule Mining | Python · Mlxtend · Apriori Algorithm | Frequent Itemset Mining |
| 32 | Anomaly Detection in Network Transaction Data Using Isolation Forest | Python · Scikit-learn · Isolation Forest | Unsupervised Anomaly Scoring |
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 33 | Social Media Trend Analysis and Hashtag Prediction Using Data Science | Python · Tweepy · Pandas · Scikit-learn | Trend Pattern Classification |
| 34 | Fake News Detection on Social Media Using Machine Learning and NLP | Python · Scikit-learn · TF-IDF · LIAR Dataset | Text Classification + NLP |
| 35 | Image-Based Product Categorization for E-Commerce Using CNN | Python · TensorFlow · CNN · Fashion-MNIST | CNN Image Classification |
Data Engineering & ETL Pipeline Projects
Data engineering projects, ETL pipeline projects, data warehousing projects for automated data workflows
| # | Data Science Project Title | Tools / Platform | Technique |
|---|---|---|---|
| 36 | Automated ETL Pipeline for Multi-Source Data Integration and Warehousing | Python · Apache Airflow · PostgreSQL | Scheduled ETL Workflow Orchestration |
| 37 | Cloud-Based Data Warehouse Design for Enterprise Sales Analytics | Python · Snowflake · AWS Redshift | Star Schema Data Warehousing |
Advanced / MTech Research Data Science Projects
Data science research projects — explainable AI, federated learning, graph neural networks, AutoML, GANs
| # | Data Science Project Title | Tools / Platform | Research Focus |
|---|---|---|---|
| 38 | Explainable AI for Interpretable Credit Risk Scoring Using SHAP and LIME | Python · SHAP · LIME · XGBoost | Explainable ML Interpretability |
| 39 | Federated Learning Framework for Privacy-Preserving Healthcare Data Analytics | Python · TensorFlow Federated · Flower Framework | Privacy-Preserving Distributed Learning |
| 40 | Graph Neural Network Based Social Network Influence Analysis | Python · PyTorch Geometric · GNN | Graph-Based Representation Learning |
| 41 | Automated Machine Learning (AutoML) Pipeline for Model Selection and Tuning | Python · Auto-sklearn · Optuna | Automated Hyperparameter Optimization |
| 42 | Synthetic Tabular Data Generation Using Generative Adversarial Networks (GANs) | Python · TensorFlow · CTGAN | GAN-Based Synthetic Data Generation |
Project Gallery — IEEE Data Science Projects Lab, Bangalore
Real student projects from our data science projects lab in Bangalore — predictive analytics projects, big data analytics projects, NLP projects, recommendation system projects and more.
Predictive Analytics Lab
CSE Data Science Final Year Project
IEEE Data Science Project Exhibition
ML-Based Data Science Projects
Big Data Analytics Projects
Data Visualization & BI Projects
NLP & Sentiment Analysis Projects
MTech Data Science Research Projects
FAQ — IEEE Data Science Projects
Top IEEE 2026 data science project ideas for CSE include: churn prediction projects using ensemble machine learning, sentiment analysis projects of social media data using NLP and deep learning, stock market prediction projects using LSTM time series forecasting, healthcare data science projects for disease prediction using ensemble learning, recommendation system projects using collaborative filtering, big data analytics projects for retail sales forecasting using Spark, fraud detection data science projects using anomaly detection, customer segmentation projects using K-Means clustering, real-time data visualization projects using Power BI, and exploratory data analysis projects for business intelligence.
Data science final year projects use tools including Python, R, Pandas, NumPy, Scikit-learn, TensorFlow/Keras and PyTorch for machine learning data science projects and deep learning data science projects, Matplotlib/Seaborn and Power BI/Tableau for data visualization projects, Hadoop and Apache Spark for big data analytics projects, NLTK and SpaCy for natural language processing projects, Prophet and ARIMA for time series forecasting projects, MySQL/MongoDB for data engineering projects and ETL pipeline projects, and Jupyter Notebook/Google Colab for exploratory data analysis projects.
Yes. Every IEEE data science project with source code includes complete Python/R source code, trained ML/DL model files, dataset references, IEEE 2025-2026 base paper, university-format project report for VTU, Anna University and JNTU, PPT presentation, data flow diagram and viva Q&A support. We cover data science mini projects, data science major projects and data science research projects for BE, BTech and MTech CSE and IT students in Bangalore.
Latest data science research project topics for MTech 2026 include: explainable AI for interpretable predictive models, federated learning for privacy-preserving data science projects, graph neural networks for social network analysis, automated machine learning (AutoML) pipelines, transformer-based NLP projects for text summarization, multimodal data fusion for healthcare data science projects, real-time streaming analytics using Apache Kafka and Spark Streaming, synthetic data generation using GANs, causal inference for business decision-making, and large language model fine-tuning for domain-specific data science applications.
Data science mini projects are simpler, typically implementing a single analytical technique such as basic regression, simple classification or exploratory data analysis projects on a small dataset — suitable for second/third year BE students. Data science major projects are comprehensive, combining machine learning or deep learning models, large real-world datasets, big data tools, interactive dashboards and full IEEE paper documentation with comparative analysis — ideal for final year BE/BTech and MTech students needing data science final year projects.
📊 Get Your IEEE 2026 Data Science Project — Fast Delivery in Bangalore
Whether you need a data science mini project (regression, basic EDA), a BE/BTech ML-based data science project or an MTech data science research project — our Bangalore center has 38+ topics ready with source code, report and full support. Call or WhatsApp now with your topic, department and deadline.