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🎓 Department of CSE(Data Science)  |  NAAC A+ Accredited  |  Prasad V. Potluri Siddhartha Institute of Technology
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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, databases, 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.


In this program, the students will learn through practical experience, hands-on projects, internships, capstone projects, research and other experiential learning, and how to apply these technologies to real-world problems.

Graduates of this program may work in various industries, including technology, finance, healthcare, retail, transportation, manufacturing, energy, agriculture, marketing, cybersecurity, government and more. Opportunities like data scientists, machine learning engineers, AI researchers, deep learning engineers, business intelligence analysts, data engineers, software developers, or other roles involve designing and implementing intelligent systems.


Our Vision

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.

Our Mission

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 Educational Outcomes
Program Outcomes
Program Specific Outcomes
Department Updates

Notifications

Program Overview

About B.Tech CSE (Data Science)

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, databases, 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.

In this program, the students will learn through practical experience, hands-on projects, internships, capstone projects, research and other experiential learning, and how to apply these technologies to real-world problems.

Graduates of this program may work in various industries, including technology, finance, healthcare, retail, transportation, manufacturing, energy, agriculture, marketing, cybersecurity, government and more. Opportunities like data scientists, machine learning engineers, AI researchers, deep 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:
01Technology

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.

02Finance

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.

03Healthcare

Data scientists in healthcare are working on areas such as precision medicine, drug development, patient outcomes analysis, and medical imaging analysis.

04Retail

Retail companies use data science to analyze customer behaviour and sales data to improve marketing and inventory management, forecast demand and optimize pricing.

05Manufacturing and Automotive

Companies in these industries use data science for predictive maintenance, quality control and optimizing their supply chains

06Energy and utilities:

Companies in this field use data science to optimize power generation, transmission, and distribution.

07Consulting

Data Science consulting companies work with clients from diverse fields, helping them to leverage data to improve their business operations and strategies.

08Government and non-profit

Data science is also applied in government and non-profit organizations for areas like policy-making, budget allocation and public welfare.

09Media and Advertising

Companies in media and advertising use data science to understand customer preferences and make better ad placement and targeting decisions.

10Cyber security

Companies and organizations that provide cyber security solutions use data science techniques to protect against data breaches, cyber-attacks and data theft.

Program Outcomes

Program Outcomes (POs)

The B.Tech CSE (Data Science) program is designed to ensure graduates attain the following 11 Program Outcomes aligned with NBA/AICTE standards, equipping them with the knowledge, skills, and attitudes required to excel as computing professionals.

Infrastructure

Facilities

Application Development Lab
Application Development Lab

Design and develop modern applications. Focus on full-stack development

Programming Languages Lab
Programming Languages Lab

Master various programming paradigms. Enhance coding efficiency.

Data Visualization Tools
Data Visualization Tools

Turn data into insights with visuals. Learn tools like Tableau and Power BI.

Deep Learning Lab
Deep Learning Lab

Focus on neural networks and AI. Work on real-world AI projects.

NLP Lab
NLP Lab

Explore natural language processing. Build intelligent language models

Database Systems Lab
Database Systems Lab

Learn database design and management. Master SQL and NoSQL systems.

Skill Development
Skill Development

Collaborate on innovative team projects. Enhance problem-solving skills.

Full Stack Web Development
Full Stack Web Development

Build responsive websites and web applications using modern technologies.

Department Activities

Events

Workshops, seminars, hackathons and cultural celebrations — relive every moment.

Curriculum

Academics

Syllabus
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Regulations
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Academic Calendar
Semester academic schedule
Timetables
Semester-wise class schedules
BOS
BOS Members BOS Minutes
Knowledge Creation

Research & Publications

Journals

IEEE, Elsevier, Springer Q1/Q2 indexed papers in AI, ML, and Data Science.

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Conferences

Presentations at NeurIPS, ICML, CVPR and national ICCCNT, ICDCN conferences.

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Book Chapters

Contributed chapters in internationally published volumes by Springer, CRC Press.

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Our People

Faculty

Meet the dedicated team of educators and staff driving excellence in Data Science education.

Teaching Staff

Meet our expert faculty — PhD holders and industry veterans shaping the next generation of AI/ML engineers.

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Non-Teaching Staff

The backbone of our department — lab technicians, administrative staff and support personnel who keep everything running.

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FDPs

Faculty Development Programmes attended and organised — workshops, STTP, and short courses for continuous upskilling.

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Student Resources

Student Corner

Question Papers
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Mentoring
Mentoring Details
Internships
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Certifications
NPTEL, Google,CISCO courses
Result Analysis
Semster-wise result analysis for all regulations
Clubs
AI Club, Coding Club,Hackathon Club