CSE(DS)

Five-Day Hands-on Workshop on Generative AI with Large Language Models by Mr. Rupesh Prasad, Senior Scientist, HCL Software (IIT Madras alumnus) | 2–6 Jan 2026 | for III Year CSE (AI & ML) & CSE (Data Science) students.

Notifications

P.Bhanu Upendra harsha Kumar(235014448), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 2% achievement during the August to November 2025 session.
CH. Pavan Pratheek(235014406), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
D.Anand(235014412), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
Mahboobunnisa(235014435), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
N.Karthikeya(235014438), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
N.Tej Karthik(235014448), student of CSE (Data Science), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
G. Venkata Krishna has been selected for the INAE CEEE Program at IIT Kharagpur, which includes two weeks of offline sessions (16th June 2025 to 27th June 2025) followed by two weeks of online sessions.
Ms. Gudapati Pavani, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course Introduction to Machine Learning with an Elite certification, during the January to April 2025 session.
Ms. CH Mounika, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course Introduction to Machine Learning with an Elite certification, during the January to April 2025 session.
K S S Narayana, Assistant Professor in CSE (AI&ML), has successfully completed the NPTEL course Cryptography and Network Security with an Elite+Silver certification, during the January to April 2025 session.
N Susmitha, Assistant Professor in CSE (AI&ML), has successfully completed the NPTEL course Deep Learning with an Elite+Silver certification, during the January to April 2025 session

Faculty Achievements

Congratulations to Mrs. P.Naga Mani

Your Scopus-indexed publication, “An Efficient Advanced Authentication System with Two Servers – An Artificial Intelligence Secure System”, Scopus Published in Journal of Theoretical and Applied Information Technology — 30th June 2025 A remarkable academic achievement — well done! ✨ Wishing you continued success in your research.

Congratulations to Ms. T. Deepa

Your publication, “Detection of Depression in Social Media Posts using Emotional Intensity Analysis”, has been published in Engineering, Technology & Applied Science Research — October 2024. A commendable academic achievement reflecting impactful research — well done! ✨ Wishing you continued success in your research journey.

Congratulations to Mrs. P. Sai Geetha

securing the top rank in NPTEL - Accreditation and Outcome Based Learning

Congratulations to Mr.VenkataKrishna

has been selected for the INAE CEEE Program at IIT Kharagpur, which includes two weeks of offline sessions (16th June 2025 to 27th June 2025) followed by two weeks of online sessions.

Student Achievements

Congratulations to
K. Sreenivasa Reddy (23501A4229)

for securing the top rank in NPTEL-Foundations of R Software

B.Tech in Computer Science and Engineering (Data Science) is a four-year undergraduate program that started with an intake of 60 in 2022 and combines the study of traditional computer science with the principles and techniques of data science.

The program typically covers a broad range of topics in computer science, including data structures, algorithms, problem-solving techniques, programming languages, operating systems, and computer networks. In addition, the program may include courses on Data Science and Machine Learning (ML) topics such as statistical analysis, data visualization, database systems, data mining, data analytics, big data technologies, machine learning algorithms, business intelligence, and more.

Graduates of this program may work in various industries, including technology, finance, healthcare, retail, transportation, manufacturing, energy, agriculture, marketing, cyber-security, government and more. Opportunities like data scientists, machine learning engineers, business intelligence analysts, data engineers, software developers, or other roles involve designing and implementing intelligent systems. They may also pursue further studies in post-graduate programs in Data Science, AI, ML or related fields.

Some of the industries where data scientists are in high demand include:

Technology: Technology companies, such as Facebook, Apple, Amazon, Netflix, Google, and other top tech companies, hire data scientists to work on various projects, including search algorithms, advertising systems, and recommendation engines.
Finance: Financial institutions such as banks, hedge funds, and insurance companies use data science to support decision-making, detect fraud, predict customer behaviour and develop new financial products.
Healthcare: Data scientists in healthcare are working on areas such as precision medicine, drug development, patient outcomes analysis, and medical imaging analysis.
Retail: Retail companies use data science to analyze customer behaviour and sales data to improve marketing and inventory management, forecast demand and optimize pricing.
Manufacturing and Automotive: Companies in these industries use data science for predictive maintenance, quality control and optimizing their supply chains
Energy and utilities: Companies in this field use data science to optimize power generation, transmission, and distribution.
Consulting: Data Science consulting companies work with clients from diverse fields, helping them to leverage data to improve their business operations and strategies.
Government and non-profit:Data science is also applied in government and non-profit organizations for areas like policy-making, budget allocation and public welfare.
Media and Advertising: Companies in media and advertising use data science to understand customer preferences and make better ad placement and targeting decisions.
Cyber security: Companies and organizations that provide cyber security solutions use data science techniques to protect against data breaches, cyber-attacks and data theft.

To be a centre of excellence in Data Science education and research, nurturing ethical, adaptable, and
industry-ready graduates with multidisciplinary competencies for innovation, entrepreneurship, and sustainable societal impact.

To provide quality Data Science education and research through an outcome-based curriculum, innovative pedagogy, and
industry collaboration, fostering ethical, multidisciplinary, and industry-ready graduates capable of developing,
sustainable Data Science solutions for societal challenges.

PROGRAM OUTCOMES (POs)

PO-1

Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO-2

Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

PO-3

Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO-4

Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO-5

Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO-6

The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO-7

Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO-8

Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO-9

Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO-10

Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO-11

Life-long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

PROGRAM EDUCTIONAL OUTCOMES (PEOs)

PEO-1

Professional Competence: Graduates will excel in careers in Data Science related fields through strong technical and analytical skills.

PEO-2

Innovation and Research: Graduates will contribute to research, innovation, and entrepreneurship in emerging Data Science technologies.

PEO-3

Ethics and Sustainability: Graduates will apply ethical principles and sustainable practices in Data Science-driven solutions impacting society.

PEO-4

Global Readiness: Graduates will adapt to evolving technologies and global challenges through lifelong learning and leadership.

PROGRAM SPECIFIC OUTCOMES (PEOs)

PSO-1

Graduates will be able to apply data science principles, statistical methods, and machine learning techniques to acquire, process, analyze, and visualize large-scale and high-dimensional data to derive actionable insights for complex real-world problems.

PSO-2

Graduates will be able to design, develop, and deploy end-to-end data science pipelines and systems that are scalable, ethical, secure, and sustainable, to address industrial, business, and societal needs.

Facilities (Our Assets)

Application Development

Design and develop modern real-time applications with full-stack technologies.

Programming Languages Lab

Learn various programming paradigms and improve coding logic and efficiency.

Data Visualization Tools

Build rich data visualizations using Tableau, Power BI, and other analytical tools.

Deep Learning Lab

Work with neural networks, AI models, and GPU-based machine learning projects.

NLP Lab

Develop intelligent systems for text processing, chatbots, and language models.

Database Systems Lab

Master database design, SQL queries, and NoSQL systems for modern applications.

Skill Development Lab

Enhance creativity and problem-solving with hands-on project-based learning.

Full Stack Web Development

Build responsive and dynamic websites using modern front-end and backend tools.

Events

LLM Hackathon | GenAI, LLM & RAG

This hackathon showcased innovative GenAI, LLM, and RAG-based student projects.

Intelligence Threat Detection using Cybersecurity

Team Members

Cheedalla Pavan Pratheek, Kollipara Jyothi Swaroop Sai, Sri Lakshmi Sivani Dadi, Kommineni Venkata Ratna Chowdary

AI Assistant for Job Preparation & Campus Placements

Team Members

Madduri Sonu Srivatsa Rahul, Rohini Pinninti, Sravanthi Choragudi

MaskED: A Privacy-First AI Email Assistant

Team Members

Suma Harshitha Yarramsetty, Vineetha Palavalasa, Kethala DeviSri, Shaik Shameera

Government Scheme Explainer Chatbot

Team Members

Lakshmi Prasanna Gogam, Chinta Durga Meenakshi, S. Rishika, Eda Jayasri

College Placement Result Analysis Model

Team Members

Nikhil Sai Bonam, Sai Venkatesh Ramisetti, A. Vishal, Surya Kantaspurthy

Pose2Performance: Multimodal GenAI for Cricket Coaching

Team Members

Paravada Ganesh, Venkata Subhash, Devi Chelluri, Lakshmi Manasa

5-Day Hands-on Workshop on Generative AI, LLM, RAG & Agents

Workshop on Generative AI, LLMs, RAG, and Agents, offering students a strong blend of theory, system architecture, and real-world relevance in modern AI systems, led by Mr. Rupesh Prasad.

Day-1

Introduced LLM fundamentals, including evolution, embeddings, tokenization, interaction methods, and Prompt Engineering.

Day-2

Explained the key components of the Transformer Decoder for context-aware text generation.

Mr. Rupesh Prasad

Consultant – Data Science

Dell Technologies

Day-3

Explored decoder internals and introduced Retrieval-Augmented Generation to enhance LLM knowledge accuracy.

Day-4

Explored end-to-end RAG architecture, vector databases, re-ranking, and evaluation strategies, highlighting how retrieval improves factual accuracy and reduces hallucinations.

Industry-Ready Skills Advancement Program

The one-week Industry-Ready Skills Advancement Program successfully enhanced students’ aptitude, reasoning, and placement readiness through structured, practice-oriented sessions, led by Dr. Roshan Nisar

Introduced quantitative aptitude fundamentals with speed techniques through intensive practice on Time & Work, Time & Distance, SI/CI, and Mixtures.

Focused on Percentages, Profit & Loss, and Averages using conversion shortcuts, real-world applications, and numerical intuition building.

Dr. Roshan Nisar

Founder & CEO, The Leader

State First Ranker, Gold Medalist, LinkedIn Top Voice

Covered advanced Time & Work concepts, emphasizing team efficiency and logical approaches to complex aptitude problems.

Reinforced learning through circular permutations and a 60-question mixed practice session, complemented by engaging logic puzzles.

Contact

Department of CSE(Data Science)

Tel: 0866-2581699

651 (Department Extension No.)

Email: [email protected]

Fax: 0866-2581184

Location

Notifications

Faculty Achievements

Congratulations to Mrs. P.Naga Mani

Congratulations to Ms. T. Deepa

Congratulations to Mrs. P. Sai Geetha

Congratulations to Mr.VenkataKrishna

Student Achievements

Congratulations to K. Sreenivasa Reddy (23501A4229)

Facilities (Our Assets)

Application Development

Programming Languages Lab

Data Visualization Tools

Deep Learning Lab

NLP Lab

Database Systems Lab

Skill Development Lab

Full Stack Web Development

Events

LLM Hackathon | GenAI, LLM & RAG

06 January 2026

5-Day Hands-on Workshop on Generative AI, LLM, RAG & Agents

02 January 2026 – 06 January 2026

Industry-Ready Skills Advancement Program

01 December 2025 – 06 December 2025

Event Image

Congratulations to
K. Sreenivasa Reddy (23501A4229)