B.Tech. CSE (Artificial Intelligence & Data Science)

Undergraduate Programme

B.Tech. in CSE (Artificial Intelligence & Data Science)

A rigorous 4-year programme combining the core foundations of Computer Science Engineering with specialised expertise in Artificial Intelligence and Data Science — designed to produce industry-ready engineers affiliated to JNTUK, Kakinada.

4 Years (8 Semesters)
30 Seats
AICTE Approved
JNTUK Affiliated
NAAC Accredited
Course at a Glance
Programme
B.Tech. CSE (AIDS)
Duration
4 Years (8 Semesters)
Intake
30 Seats
Affiliation
JNTUK, Kakinada
Approved By
AICTE, New Delhi
Annual Tuition Fee
₹40,000 / Year
Eligibility
10+2 with PCM / EAMCET
Apply for Admission

Shape the Future with CSE — AI & Data Science

The Department of CSE (Artificial Intelligence & Data Science) at Hindu College of Engineering and Technology (HCET), Guntur is a forward-looking programme that bridges the gap between traditional computer science and the rapidly evolving fields of AI and data analytics. The B.Tech. CSE (AIDS) programme equips students with a robust CSE foundation enriched with specialised AI and data science competencies demanded by the global digital economy.

The curriculum is structured in alignment with JNTUK regulations and industry requirements, combining core computer science subjects with advanced AI/ML, big data, and analytics modules. Students graduate ready to build intelligent data-driven applications and excel in software companies, analytics firms, research institutions, and higher studies worldwide.

Programme Educational Objectives (PEOs)

  • Prepare graduates for successful careers in software development, AI, and data-driven industries.
  • Enable graduates to design intelligent and scalable data science systems to solve real-world problems.
  • Develop leadership, teamwork & professional communication skills.
  • Foster ethical responsibility in data handling and AI development.
  • Encourage innovation and entrepreneurship in AI and data science domains.

%

Placement Rate

Annual Intake

Expert Faculty

State-of-Art Labs

LPA

Avg. Package (2024 Batch)

Programme Outcomes

Software Engineering

Design, develop and deploy robust software systems using modern methodologies.

Artificial Intelligence

Build intelligent systems using ML, deep learning and data-driven algorithms.

Data Science

Analyse large datasets and derive actionable insights using modern tools.

Big Data Analytics

Process and analyse massive data streams using Hadoop, Spark, and cloud platforms.

Cloud Computing

Deploy scalable AI applications on AWS, Azure and Google Cloud platforms.

System Design

Architect large-scale distributed systems with high availability and resilience.

Problem Solving

Apply algorithmic thinking and mathematical logic to complex data engineering challenges.

Innovation & R&D

Conduct research, publish work and develop patent-worthy AI and data-driven innovations.

Professional Specialisations

From Year III onwards, students may choose from the following professional elective streams to build deep expertise in high-demand AI and data science domains.

Artificial Intelligence & Machine Learning
  • Neural Networks & Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics & Explainability
Data Science & Big Data Analytics
  • Data Warehousing & Mining
  • Big Data Tools (Hadoop, Spark)
  • Business Intelligence
  • Statistical Modelling
  • Data Visualisation (Tableau/Power BI)
Cloud Computing & DevOps
  • AWS / Azure / GCP Platforms
  • Docker & Kubernetes
  • CI/CD Pipelines
  • Infrastructure as Code (Terraform)
  • Site Reliability Engineering
Business Intelligence & Analytics
  • Predictive & Prescriptive Analytics
  • Data Story Telling
  • CRM & ERP Analytics
  • Financial Data Analytics
  • Healthcare & Biomedical Analytics
Full-Stack & Mobile Development
  • React.js / Node.js / Next.js
  • Android & iOS Development
  • REST APIs & GraphQL
  • Progressive Web Apps
  • Agile & Scrum Practices
Generative AI & LLM Engineering
  • Large Language Model Fine-Tuning
  • Prompt Engineering
  • RAG Architectures
  • AI-Powered Application Development
  • Responsible Generative AI

Careers & Placements

Our CSE (AIDS) graduates are highly sought after across top MNCs, data-driven startups, government organisations, and research institutions.

Job Roles
  • Data Scientist / Data Analyst
  • AI / ML Engineer
  • Software Development Engineer (SDE)
  • Business Intelligence Analyst
  • Full Stack Developer
  • Cloud / MLOps Engineer
  • Data Engineer
  • Research Scientist / PhD Scholar
Higher Education Options
  • M.Tech. / M.S. in AI / Data Science (India / Abroad)
  • MBA in Technology Management
  • M.S. in CS / AI / Data Science (US / UK)
  • GATE – PSU Recruitment / M.Tech. IITs
  • Ph.D. Research Programmes
  • GRE / GMAT for International Studies
  • UPSC / Civil Services (IT cadre)
2024 Placement Highlights

₹20L

Highest Package

₹9L

Average Package

92%

Placed Students

80+

Recruiting Companies

Top Recruiters
TCS Infosys Wipro HCL Technologies Cognizant Tech Mahindra Capgemini Accenture Amazon IBM Microsoft Oracle Deloitte Persistent Systems Mphasis Hexaware

World-Class Labs & Facilities

HCET`s CSE (AIDS) Department is equipped with modern computing and data infrastructure to support learning, research, and innovation.

Advanced Computing Laboratory

250+ high-performance workstations with Intel Core i7/i9 processors, 32GB RAM, and SSD storage running Windows & Linux dual boot environments for AI and data science development.

AI & Machine Learning Research Lab

Equipped with NVIDIA GPU servers (RTX 4090), TensorFlow / PyTorch frameworks, and dedicated workstations for deep learning model training and AI application development.

Data Science & Big Data Lab

Hadoop / Spark clusters, Jupyter Notebooks, R Studio, MATLAB, and Python data science stacks. Access to large public datasets and cloud data warehouses for real-world analytics practice.

Cloud Computing & DevOps Lab

AWS Educate, Microsoft Azure for Students, and Google Cloud credits. Kubernetes clusters, Jenkins pipelines, and Docker sandboxes for CI/CD and MLOps practice.

Business Intelligence & Analytics Lab

Tableau, Power BI, and Google Data Studio workstations. Enterprise analytics simulation with real-world business datasets for hands-on BI dashboard development and reporting.

Digital Library & Learning Hub

Access to IEEE Xplore, Springer Link, NPTEL AI/Data Science courses, ACM Digital Library, and 10,000+ e-books. Quiet study zones and 24x7 internet connectivity.

Additional Facilities

Campus-wide Wi-Fi Smart Classrooms 3D Printing Lab AR / VR Zone Seminar Hall (500 seating) Hackathon Arena Training & Placement Cell Separate Hostels

Ready to Begin Your AI & Data Science Journey?

Join the B.Tech. CSE (AIDS) programme at Hindu College of Engineering and Technology, Guntur and become a part of our legacy of excellence.

Apply for Admission 2025–26