B Tech In Data Science 2026 - Colleges, Fees, Eligibility, Syllabus

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HomeCoursesB.Tech in Data Science
Bachelor4 Years

Bachelor of Technology (B.Tech) in Data Science

4 Years
₹2.0L/Year
B.Tech in Data Science is a 4-year engineering degree in India that prepares students for high-demand careers in analytics, machine learning, and big data. The program covers Python, statistics, data engineering, and AI, with practical projects and industry-focused training to build job-ready skills.

About B.Tech in Data Science

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Content Team

Content Writer | Updated 17 Mar 2026

B.Tech in Data Science is a 4-year engineering undergraduate program focused on data-driven problem solving using statistics, programming, machine learning, and big data tools. It blends core computer science and mathematics with modern data engineering and analytics practices. The course prepares students to build data pipelines, develop predictive models, and deploy data products for real-world applications. Graduates commonly work in analytics, data engineering, machine learning, and business intelligence roles across industries.
B.Tech in Data Science in India is an undergraduate engineering degree designed to develop strong foundations in mathematics, programming, databases, and computer science, along with specialized training in data analytics, machine learning, and big data systems. The curriculum typically begins with engineering fundamentals such as calculus, linear algebra, probability, data structures, and object-oriented programming, and gradually advances to statistical learning, data mining, deep learning, cloud computing, and distributed processing. Students learn to collect, clean, store, and analyze large datasets using tools like Python/R, SQL, Hadoop/Spark, and visualization platforms, while also studying model evaluation, MLOps basics, and responsible AI. Most institutes include labs, mini-projects, internships, and a final-year capstone project that mirrors industry workflows like building end-to-end pipelines and deploying models. The program is suitable for students interested in engineering roles that combine software development with analytics and AI, and it supports careers in IT services, product companies, BFSI, e-commerce, healthcare, manufacturing, and consulting.
Industry-relevant blend of computer science, statistics, and machine learning
Hands-on labs and projects using Python, SQL, and big data tools
Final-year capstone and internship opportunities aligned with analytics and AI roles

Eligibility Criteria

1

Educational Qualification

10+2 (or equivalent) with Physics and Mathematics as compulsory subjects, along with one of Chemistry/Computer Science/Electronics/Biology/Biotechnology; minimum aggregate typically 50%-60% (relaxation for reserved categories as per norms). Admission is usually through engineering entrance exams and counselling; some private universities also offer merit-based or their own test-based admission.

2

Entrance Exam

JEE Main, State Engineering Entrance Exams (e.g., MHT CET, WBJEE, KCET, TNEA as counselling-based)

Admission Process

How to Apply

Candidates qualify through an engineering entrance exam score followed by centralized counselling (for participating institutes) or institute-level counselling. Some private universities admit via their own entrance tests or offer direct admission based on 10+2 merit, subject to eligibility and seat availability.

Course Syllabus

Semester 16 Subjects
Engineering Mathematics I (Calculus)
Programming for Problem Solving (C/Python)
Engineering Physics
Basic Electrical and Electronics Engineering
Communication Skills
Programming Lab
Semester 26 Subjects
Engineering Mathematics II (Linear Algebra & Differential Equations)
Data Structures and Algorithms
Object-Oriented Programming
Engineering Chemistry/Environmental Studies
Discrete Mathematics
Data Structures Lab
Semester 36 Subjects
Probability and Statistics
Database Management Systems
Design and Analysis of Algorithms
Computer Organization and Architecture
Operating Systems
DBMS Lab
Semester 46 Subjects
Machine Learning Fundamentals
Data Mining and Warehousing
Computer Networks
Software Engineering
Exploratory Data Analysis and Visualization
Machine Learning Lab
Semester 56 Subjects
Big Data Technologies (Hadoop/Spark)
Artificial Intelligence
Statistical Learning
Cloud Computing Fundamentals
Professional Elective I
Big Data Lab
Semester 66 Subjects
Deep Learning
Natural Language Processing
Data Engineering and ETL Pipelines
Information Security/Privacy Basics
Professional Elective II
Deep Learning Lab
Semester 76 Subjects
MLOps and Model Deployment Basics
Time Series Analysis
Business Analytics
Professional Elective III
Open Elective
Minor Project/Internship
Semester 85 Subjects
Capstone Project (End-to-End Data Science)
Ethics and Responsible AI
Professional Elective IV
Seminar/Technical Paper Writing
Comprehensive Viva/Project Defense

Career Options & Jobs

Career prospects are strong due to growing adoption of analytics, AI, and data platforms across IT services and digital-first businesses in India. With internships, projects, and cloud/data tool proficiency, graduates can progress from analyst or junior engineering roles to data scientist, ML engineer, analytics consultant, or data engineering roles within a few years.

Career Options

Data Scientist (Entry-Level)
Data Analyst/Business Analyst
Machine Learning Engineer (Junior)
Data Engineer (Junior)
Business Intelligence (BI) Developer

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