B.Tech. in CSE - Artificial Intelligence & Data Science
BTech CSE(AI&DS) is a 4-year program focused on Data Information collection and Forecasting.
Overview
Programme Overview
Extract Insights with AI & Data Science
The B.Tech in CSE (Artificial Intelligence and Data Science) teaches students how to process big data and train predictive algorithms that run complex software automation.
Combining statistical models with computing, this program prepares engineers to handle database systems, big data platforms, analytics, and deep learning.
Programme Educational Objectives (PEOs)
Data Analytics
Excel in data analytics, cloud database operations, and data forecasting projects.
Secure Architectures
Build and deploy secure predictive software pipelines on cloud systems.
Ethics & Trust
Ensure ethical data management, privacy enforcement, and team coordination.
Programme Outcomes (POs)
Data Engineering
Apply mathematical functions to extract, clean, and structure high-dimensional datasets.
Data Science Modeling
Build and validate supervised and unsupervised ML algorithms for analytics.
Cloud Analytics
Deploy pipelines on cloud platforms (AWS, Azure) for distributed computing.
Specialisations
Focus Areas
Data Science Core Topics
The curriculum bridges advanced database technologies with statistical prediction tools:
Data Engineering
- Big Data & Hadoop Systems
- NoSQL & MongoDB Databases
- Data Warehousing & ETL
- Data Visualization (Tableau)
Analytics & ML
- Statistical Modeling & Stats
- Supervised & Unsupervised ML
- Neural Networks & Deep Learning
- Time Series Forecasting
Applications
- Natural Language Processing
- Business Analytics & BI
- Information Security & Audits
- Cognitive Computing
Careers & Placements
Career Prospects
Data Science Careers
Data professionals are the highest-paid sector in software, driving modern analytical systems.
Job Roles
- Data Scientist & Architect
- Big Data Engineer
- Business Intelligence Developer
- Data Analyst / Statistician
Higher Education Options
- M.Tech in Data Science & Big Data
- MS in Business Analytics
- Advanced Cloud Architect certifications
Top Recruiting Companies
Labs & Facilities
Infrastructure
High-End Data Laboratories
Students execute large analytics projects on high-speed hardware clusters:
Big Data Analytics Lab
Equipped with distributed Hadoop and Spark nodes to query and process terabytes of data arrays in real-time.
Data Visualization Suite
Dedicated to structuring dashboards, learning time-series analytics, and building BI presentations.
Additional Facilities
Hadoop Server Clusters Hadoop & Spark Testbeds Tableau & PowerBI Licenses