SVCE Logo
Data Nexus Logo

01 / about the branch

MAKE MEANING
FROM MESS.

We are a research-driven CSE (Data Science) community at the intersection of computation, creativity, and consequence.

01 / department overview

CURIOUS BY
DESIGN.

The Department of Computer Science and Engineering (Data Science) at Sri Venkateswara College of Engineering focuses on developing engineers who can transform data into meaningful insights, intelligent systems and practical solutions. The department combines foundations in computing, mathematics and statistics with contemporary areas such as data analytics, artificial intelligence, machine learning, data visualization and data engineering.

We believe technical depth and human context belong in the same room. Our approach combines rigorous mathematical foundations, scalable software architecture, and real-world domain application.

02 / direction

VISION &
MISSION.

Our Vision

Pioneering Data Intelligence

To become a centre of excellence in Data Science education, research, and innovation. To nurture highly competent and industry-ready Data Science Engineers with strong technical and analytical skills. To foster ethical values, creativity, and lifelong learning among students. To empower graduates to leverage emerging technologies and data-driven solutions for the betterment of society and the nation.

Our Mission

Applied Excellence

To impart high-quality education in CSE (Data Science) through well-equipped infrastructure, state-of-the-art laboratories, and qualified faculty. To enhance the quality of technological education through training, consultancy, research, and innovation. To equip graduates with essential technical skills, leadership qualities, and strong ethical and moral values to serve society and the nation.

03 / structure

COURSE OVERVIEW.

Undergraduate

4-Year B.Tech Program

A four-year undergraduate engineering program combining computer science, mathematics, statistics and data-driven technologies to prepare students for careers in data science, analytics, artificial intelligence, machine learning and related fields.

Specializations

Interdisciplinary Electives

Explore subjects beyond the core Data Science curriculum and connect computational thinking with other engineering, technological and application domains.

Practical Mastery

Major Project

An opportunity for students in Semester VIII to bring together the knowledge and skills developed throughout the program to work on a substantial practical problem and develop an end-to-end solution.

04 / roadmap

CURRICULUM &
SYLLABUS.

REGULATION R26Admitted 2026–27 Onwards

B.Tech. CSE (Data Science)

Official R26 AI-Assisted Academic Roadmap & Course Structure

4 YEARS8 SEMESTERSAI INTEGRATED CURRICULUM
• YEAR 1: 40.0 CREDITS
• YEAR 2: 44.0 CREDITS
• YEARS 3 & 4: ADVANCED SPECIALIZATION
|
ACADEMIC PROGRESSION PATHWAY
FOUNDATIONSSemesters 1 & 2
COMPUTINGCore Engineering
DATASemesters 3 & 4
INTELLIGENCESemesters 5 & 6
APPLICATIONSemester 7
PROFESSIONAL PRACTICESemester 8
YEAR 01

FOUNDATIONS

40.0 TOTAL CREDITS

SEMESTER I

19.5 CREDITS
Basic Science
AI INTEGRATEDL-T-Pr-P: 3-0-0-03 CR

Physics for Advanced Computing

Basic Science
L-T-Pr-P: 3-0-2-04 CR

Linear Algebra and Calculus

Engineering Science
AI INTEGRATEDL-T-Pr-P: 1-0-4-03 CR

Design Thinking

Engineering Science
AI + COMPUTINGL-T-Pr-P: 3-0-0-03 CR

Computational Thinking and Problem Solving with Python

Humanities & Social Sciences
L-T-Pr-P: 2-0-0-02 CR

Communicative English

Humanities Lab
L-T-Pr-P: 0-0-0-21 CR

Communicative English Lab

Engineering Science Lab
AI + COMPUTINGL-T-Pr-P: 0-0-0-31.5 CR

Computational Thinking and Problem Solving with Python Lab

Basic Science Lab
AI INTEGRATEDL-T-Pr-P: 0-0-0-31.5 CR

Physics for Advanced Computing Lab

Activity Course
L-T-Pr-P: 0-0-0-10.5 CR

NSS / NCC / Scouts & Guides / Community Service

Mandatory Non-Credit
AI INTEGRATEDL-T-Pr-P: 2-0-0-0NON-CREDIT

Cybersecurity Awareness for Engineers

SEMESTER II

20.5 CREDITS
Basic Science
AI INTEGRATEDL-T-Pr-P: 3-0-0-03 CR

Applied Chemistry for Computer Science

Basic Science
L-T-Pr-P: 3-0-2-04 CR

Differential Equations and Vector Calculus

Professional Core
AI + COMPUTINGL-T-Pr-P: 3-0-0-03 CR

Professional Core - I: Data Structures & Efficient Problem Solving

Engineering Science
L-T-Pr-P: 1-0-4-03 CR

Engineering Graphics

Engineering Science
AI INTEGRATEDL-T-Pr-P: 1-0-4-03 CR

AI Tools and Applications

Engineering Science Lab
L-T-Pr-P: 0-0-0-31.5 CR

Engineering Workshop

Basic Science Lab
AI INTEGRATEDL-T-Pr-P: 0-0-0-31.5 CR

Applied Chemistry for Computer Science Lab

Professional Core Lab
AI + COMPUTINGL-T-Pr-P: 0-0-0-21 CR

Data Structures & Efficient Problem Solving Lab

Activity Course
L-T-Pr-P: 0-0-0-10.5 CR

Health and Wellness, Yoga and Sports

YEAR 02

COMPUTING + DATA

44.0 TOTAL CREDITS

SEMESTER III

22 CREDITS

11 Prescribed R26 Courses & Modules

Probability and StatisticsBiology for EngineersDigital Logic and Computer OrganizationProfessional Core - II: Algorithms Design and Analysis+7 more

SEMESTER IV

22 CREDITS

10 Prescribed R26 Courses & Modules

Managerial Economics and Financial AnalysisUniversal Human Values - Understanding Harmony and Ethical Human ConductProfessional Core - IV: Intelligent Data Preparation and Processing SystemsProfessional Core - V: Intelligent Database Management Systems+6 more
• Mandatory Community Service Project Internship of 08 weeks duration during summer vacation following Semester IV.
YEAR 03

DATA SCIENCE + INTELLIGENCE

PRESCRIBED R26

SEMESTER V

Prescribed R26

6 Prescribed R26 Courses & Modules

Advanced Data Mining & Machine Learning SystemsMachine Learning Systems LabSkill Enhancement Course III: AI Application EngineeringProfessional Elective - I+2 more

SEMESTER VI

Prescribed R26

6 Prescribed R26 Courses & Modules

Natural Language Processing & Intelligent AnalyticsNatural Language Processing & Analytics LabProfessional Elective - IIProfessional Elective - III+2 more
• Mandatory Industry Internship of 08 weeks duration during summer vacation following Semester VI.
YEAR 04

ADVANCED APPLICATIONS + PROFESSIONAL PRACTICE

PRESCRIBED R26

SEMESTER VII

Prescribed R26

7 Prescribed R26 Courses & Modules

Big Data Platforms & Distributed AnalyticsProfessional Elective - IVProfessional Elective - VOpen / Interdisciplinary Elective - III+3 more
FINAL SEMESTER

SEMESTER VIII

Prescribed R26
Internship
4 CR

INDUSTRY INTERNSHIP

Full-time industrial internship and professional practice.

Project
AI INTEGRATED8 CR

B.TECH. PROJECT

Substantial capstone engineering project solving complex real-world data science and intelligent systems challenges.

OFFICIAL R26 CATEGORY STRUCTURE

PROFESSIONAL CORE & LABS

Deep computing and data science fundamentals paired with dedicated laboratory practice.

SKILL ENHANCEMENT COURSES

Hands-on AI application development, Python data analytics, and modern tool integration.

ELECTIVE TRACKS

Professional & interdisciplinary electives across specialized AI, ML, Cloud & System tracks.

INTERNSHIPS & B.TECH. PROJECT

Community service project, mandatory industry internships, and full-time capstone project.

05 / community

DEPARTMENT ASSOCIATIONS.

Student Chapter

DATA NEXUS ASSOCIATION

A student-driven community fostering data, AI, and technology through collaborative learning, practical projects, and industry-led sessions.

Microsoft Student Club

MLSC - Microsoft Learn Student Community at SVCE

A Microsoft-focused student community empowering learners through cloud technologies, technical workshops, hackathons, and peer-led innovation.