Department of Data Science
Total Intake in Data Science is 60(Seats)
Data Science Engineering is the discipline of building systems and pipelines that collect, process, and store massive amounts of data, enabling data scientists to analyze it and derive actionable insights. It bridges raw data and decision-making by combining computer science, statistics, and domain expertise.
👩💻 Common Career Paths
Data Scientist: Builds predictive models, applies machine learning, and extracts insights from data.
Data Analyst: Focuses on interpreting data, creating reports, and supporting business decisions.
Data Engineer: Designs and maintains pipelines, databases, and scalable systems for handling big data.
Machine Learning Engineer: Specializes in deploying ML algorithms into production systems.
Business Intelligence Developer: Creates dashboards and visualization tools for decision-makers.
AI Researcher: Works on cutting-edge algorithms and artificial intelligence innovations.
Industries You Can Work In
Finance: Fraud detection, risk modeling, algorithmic trading.
Healthcare: Predictive diagnostics, drug discovery, patient data analysis.
Retail: Customer behavior analysis, recommendation systems.
Technology: AI development, cloud services, product optimization.
Government: Policy analysis, census data, public safety predictions.
Skills You’ll Gain
Programming: Python, R, SQL.
Machine Learning: Algorithms, neural networks, deep learning.
Data Visualization: Tableau, Power BI, Matplotlib.
Big Data Tools: Hadoop, Spark, Kafka.
Cloud Platforms: AWS, Azure, Google Cloud.