Last Updated on December 4, 2025 by Abhijeet chatterjee
BTech in Data Science has emerged as one of the most sought-after engineering programs of 2026, combining Computer Science, Statistics, Artificial Intelligence, and Big Data analytics into a single, future-ready curriculum. This 4-year course equips students to interpret complex datasets, build intelligent systems, and develop solutions that drive modern industries.
With India’s analytics sector growing at more than 30% annually, Data Science graduates are in high demand across tech companies, startups, and consulting firms. Covering everything from machine learning to business intelligence, BTech Data Science offers a strong foundation for students aiming to lead in AI innovation and data-driven decision-making.
What is BTech Data Science?
BTech in Data Science is a 4-year undergraduate engineering program that combines Computer Science, Mathematics, and Artificial Intelligence (AI) to turn raw data into actionable insights. It focuses on the technologies and analytical skills required to process, interpret, and visualize large volumes of data — the foundation of decision-making in today’s digital world.
Unlike a traditional BTech in Computer Science, which covers broad computing principles, BTech Data Science dives deeper into data handling, statistical modeling, predictive analytics, and machine learning algorithms. Students learn how to build data pipelines, design AI models, and deploy them to solve real-world problems in domains such as healthcare, finance, e-commerce, cybersecurity, and government policy.
BTech Data Science Course Details
The BTech Data Science course also introduces advanced tools and languages like Python, R, SQL, TensorFlow, Tableau, and Hadoop, preparing graduates to work across multidisciplinary roles — from Data Scientist and Machine Learning Engineer to AI Researcher and Business Intelligence Analyst.
By the end of the program, students are trained to not only manage massive datasets but also uncover trends and patterns that drive smarter decisions — making BTech in Data Science one of the most future-ready engineering specializations in 2026.
BTech Data Science Eligibility
To pursue a BTech in Data Science, candidates must meet certain academic and entrance requirements set by universities and technical institutes. The eligibility conditions are quite similar to other BTech branches like CSE or AI, but some institutes may prefer students with strong mathematics or computer background. Here’s a detailed overview:
| BTech Data Science Eligibility Criteria | Details |
| Educational Qualification | 10+2 with PCM (Physics, Chemistry, Mathematics) or equivalent; minimum 50–60% aggregate (relaxation for reserved categories) |
| Entrance Exams | JEE Main, JEE Advanced, CUET, VITEEE, SRMJEEE, BITSAT, State CETs |
| Age Limit | Minimum 17 years; no upper limit for most private colleges |
| Lateral Entry (Direct 2nd Year) | Diploma in CS/IT/AI or related field with required aggregate; admission via LEET or institute-level test |
BTech Data Science Syllabus
The BTech in Data Science syllabus is structured to balance mathematical foundations, computing skills, and real-world data applications. Based on the detailed curriculum followed in leading institutes (like IITs and top universities), it spans eight semesters and approximately 160 credits, integrating core courses, electives, and major projects.
The program blends Computer Science, Statistics, and Machine Learning with strong lab components and electives in domains like AI, Cloud Computing, IoT, and Cognitive Modeling.
BTech Data Science Syllabus PDF
Students always search for a handy BTech Data Science Syllabus PDF. We have provided below a downloadable BTech Data Science Syllabus PDF.
Download BTech Data Science Syllabus Here.
BTech Data Science and Artificial Intelligence Syllabus
Throughout the 4-year BTech Data Science and Artificial Intelligence Syllabus course, students learn to:
- Collect, clean, and visualize large datasets.
- Apply mathematical, statistical, and computational models to analyze data.
- Build predictive and AI-driven algorithms.
- Ensure data privacy and ethical use of information.
- Gain hands-on experience through labs, practicums, and projects.
| Semester | Key Courses | Core Learning Areas |
| 1st Semester Syllabus BTech Data Science | Engineering Mathematics, Computing & Data Science, Electrical Systems, Graphics for Design, English Communication | Programming fundamentals, computational thinking, problem-solving |
| Semester 2 | Linear Algebra, Applied Electronics, Data Science Concepts, Product Realization Technology | Introduction to analytics, statistical tools, applied physics, and data handling |
| Semester 3 | Data Handling & Visualization, Mathematical Foundations I, Data Structures & Algorithms, Signals & Systems | Foundations of data processing, visualization techniques, basic ML concepts |
| Semester 4 | Statistical Foundations of Data Science, Continuum Mechanics, Design Practicum | Applied statistics, probability modeling, project-based learning |
| Semester 5 | Matrix Computations for Data Science, Mathematical Foundations II, Information Security & Privacy | Advanced linear algebra, cryptography, secure data storage & transmission |
| Semester 6 | Introduction to Statistical Learning, Optimization for Data Science, Computing Systems for Data Processing | Machine learning, optimization algorithms, scalable computing systems |
| Semester 7 | Discipline & Open Electives, Major Technical Project – Phase I | Advanced AI/ML courses, electives in IoT, cloud, cognitive modeling |
| Semester 8 | Discipline & Open Electives, Major Technical Project – Phase II | Capstone project, applied data science research, interdisciplinary innovation |
BTech Data Science Subjects
The followinga are the BTech data science subjects you will be studying:
- Mathematical Foundations of Data Science I & II – Covers linear algebra, calculus, and probability theory essential for ML.
- Statistical Foundations of Data Science – Focuses on hypothesis testing, regression, and data distribution.
- Data Handling and Visualization – Introduces tools like Python, R, and Tableau for transforming and visualizing data.
- Introduction to Statistical Learning – Covers machine learning concepts like classification, regression, clustering, and model evaluation.
- Optimization for Data Science – Focuses on mathematical optimization for training ML models efficiently.
- Computing for Data Science – Explores data pipelines, big data frameworks, and cloud data systems.
- Information Security and Privacy – Teaches ethical data handling and protection against cyber threats.
BTech Data Science Elective Baskets (Advanced Specializations)
Students can customize their degree with discipline electives (DE) and open electives (OE) across several thematic baskets:
A. Machine Learning & AI
- Pattern Recognition
- Deep Learning
- Estimation and Detection Theory
- Kernel Methods for Pattern Analysis
- Computer Vision
B. Networks & Cloud Computing
- IoT Systems and the Cloud
- Computer Networks
- High Performance Computing
C. Theoretical Computer Science
- Algorithm Design and Analysis
- Formal Languages and Automata Theory
- Semantic Analysis
D. Applied Mathematics
- Numerical Analysis
- Differential Equations
- Linear Algebra
- Computational Modelling
E. Statistics & Financial Modelling
- Time Series Analysis
- Optimization for ML
- Computational Finance
F. Neuroscience & Cognitive Computing
- Cognitive Modeling
- Computational Neuroscience
- Brain-Inspired Computing
Capstone Project & Practicums
In the final year, students undertake a Major Technical Project (MTP-I & II) focusing on real-world problem-solving — such as predictive modeling for healthcare, AI-based recommendation systems, or large-scale data processing on cloud platforms.
They also complete hands-on practicums across semesters using tools like Python, R, TensorFlow, Hadoop, Spark, and SQL.
Credit Summary
- Core Courses: ~90 credits
- Electives (DE + OE): ~40 credits
- Projects & Practicums: ~20 credits
- Total Minimum Credits: 160
BTech Data Science Colleges in India Fees
India has seen a rapid expansion in BTech Data Science programs, with premier government institutes like IITs, IIITs, and central universities introducing dedicated courses or specializations, while private universities have developed full-fledged, industry-integrated programs.
Government colleges focus on research, theoretical foundations, and long-term academic value, whereas private institutions emphasize practical learning, certifications, and placement support.
Here’s a comparative list of some of the top BTech Data Science colleges in India (2026) — including both government and private universities, with program highlights, fees, and placement data.
| # | College / University | Type | Program Offered | Approx. Total Fees (4 Years) | Average / Highest Placement Package (LPA) |
| 1 | IIT Roorkee | Government | B.Tech in Data Science & Artificial Intelligence | ₹8–10 Lakh | Avg: ₹18.3 LPA Highest: ₹27.9 LPA |
| 2 | IIT Mandi | Government | B.Tech in Data Science & Engineering | ₹8–9 Lakh | Avg: ₹14–16 LPA Highest: ₹25 LPA |
| 3 | IIIT Kurnool | Government | B.Tech in Artificial Intelligence & Data Science | ₹7–9 Lakh | Avg: ₹8.2 LPA Highest: ₹32.5 LPA |
| 4 | Jamia Millia Islamia (JMI), New Delhi | Government | B.Tech CSE with Data Science Specialization | ₹2–3 Lakh | Avg: ₹8 LPA Highest: ₹15 LPA |
| 5 | JNTU Hyderabad | Government | B.Tech with Minor / Honors in Data Science | ₹2–2.5 Lakh | Avg: ₹6–7 LPA Highest: ₹14 LPA |
| 6 | IIT Hyderabad | Government | B.Tech CSE with Data Science & AI Electives | ₹9–10 Lakh | Avg: ₹22.5 LPA Highest: ₹66 LPA |
| 7 | VIT Vellore | Private | B.Tech in Data Science / AI & Data Science | ₹7–8 Lakh | Avg: ₹8–10 LPA Highest: ₹25 LPA |
| 8 | SRM Institute of Science & Technology | Private | B.Tech in Data Science / AI & DS | ₹8–9 Lakh | Avg: ₹7–9 LPA Highest: ₹22 LPA |
| 9 | Amrita Vishwa Vidyapeetham | Private | B.Tech in Data Science | ₹8–9 Lakh | Avg: ₹6–8 LPA Highest: ₹18 LPA |
| 10 | Lovely Professional University (LPU) | Private | B.Tech in Data Science / AI & DS | ₹7–8 Lakh | Avg: ₹6–8 LPA Highest: ₹15 LPA |
| 11 | Chitkara University | Private | B.Tech in Data Science | ₹6–7 Lakh | Avg: ₹5–7 LPA Highest: ₹12 LPA |
| 12 | Amity University, Noida | Private | B.Tech in Data Science (On-Campus / Online Mode) | ₹8–9 Lakh | Avg: ₹5–7 LPA Highest: ₹10 LPA |
BTech Data Science IIT Madras
When it comes to Data Science education in India, IIT Madras stands out — not for offering a traditional BTech in Data Science, but for introducing two pioneering programs that together redefine how AI and data analytics are taught:
the B.Tech in Artificial Intelligence and Data Analytics (AIDA) and the BS in Data Science and Applications.
Both programs cater to different learner profiles: the B.Tech AIDA is a full-time on-campus degree designed for students aiming to become AI engineers and research professionals, while the BS in Data Science and Applications is an online, flexible program open to all learners interested in building data analytics expertise without the need for JEE-based admission.
How the Two Programs Differ?
| Feature | B.Tech in AI & Data Analytics (AIDA) | BS in Data Science & Applications |
| Mode of Learning | Full-time, On-Campus (Chennai) | Fully Online with in-person exams |
| Duration | 4 Years | Flexible – typically 3–6 Years |
| Focus Area | Artificial Intelligence, Data Analytics, Responsible AI | Core Data Science, Machine Learning, Business Analytics |
| Eligibility | JEE Advanced qualified candidates | Class 12 pass with Physics & Math (through Qualifier exam) |
| Curriculum Type | Engineering-oriented, research-intensive | Modular, flexible, and application-driven |
| Exit Options | Single (B.Tech degree) | Multiple (Certificate / Diploma / BS Degree) |
| Career Pathways | AI Engineer, Researcher, Data Scientist, Product Developer | Data Analyst, Business Analyst, ML Specialist, Applied Data Scientist |
BTech Data Science Colleges in Delhi
Delhi and the National Capital Region (NCR) have rapidly emerged as a hub for Data Science and Artificial Intelligence education, with several government universities, IIITs, and private institutions offering specialized BTech programs. The region’s proximity to India’s top tech companies, analytics firms, and research centers makes it one of the most preferred locations for aspiring data scientists.
Below is a curated list of the top 10 BTech Data Science colleges in Delhi and NCR (2026) — featuring a balanced mix of government and private universities, along with key details like programs, eligibility, and approximate fees.
Top 10 Data Science Institute in Delhi With Fees
| # | College / University | Type | Program Offered | Approx. Total Fees (4 Years) | Eligibility / Admission |
| 1 | Delhi Technological University (DTU) | Government | B.Tech in Computer Science (Data Science specialization) | ₹7–8 Lakh | Admission via JEE Main + JAC Delhi counseling |
| 2 | Indraprastha Institute of Information Technology (IIIT Delhi) | Government (State University) | B.Tech in Computer Science and Artificial Intelligence (with DS electives) | ₹8–9 Lakh | Based on JEE Main percentile and IIIT-D specific criteria (Delhi quota available) |
| 3 | Jamia Millia Islamia (JMI) | Central Government | B.Tech in Computer Engineering with Data Science specialization | ₹2–3 Lakh | JEE Main scores through centralized counseling |
| 4 | Netaji Subhas University of Technology (NSUT) | Government | B.Tech in Computer Science (Data Science specialization) | ₹7–8 Lakh | JEE Main + JAC Delhi admission |
| 5 | Indira Gandhi Delhi Technical University for Women (IGDTUW) | Government (Women’s University) | B.Tech in Computer Science (AI & Data Science) | ₹6–7 Lakh | JEE Main (female candidates only) |
| 6 | Amity University, Noida | Private | B.Tech in Data Science / Artificial Intelligence & Data Science | ₹8–9 Lakh | Admission through Amity Entrance Test or CUET (UG) |
| 7 | Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad | Private (Deemed) | B.Tech in Data Science / AI & DS | ₹7–8 Lakh | Based on MRNAT / CUET / JEE Main |
| 8 | Galgotias University, Greater Noida | Private | B.Tech in Artificial Intelligence & Data Science | ₹6–7 Lakh | Admission through CUET / JEE Main / Merit-based |
| 9 | Sharda University, Greater Noida | Private | B.Tech in Computer Science (Data Science specialization) | ₹7–8 Lakh | SUAT / JEE Main / CUET admission accepted |
| 10 | GGSIPU (Guru Gobind Singh Indraprastha University) | Government (Affiliating University) | B.Tech CSE (Data Science specialization through affiliated colleges like BPIT, MAIT) | ₹4–6 Lakh | Based on IPU CET / JEE Main (Paper 1) |
BTech Data Science Job Opportunities
A BTech in Data Science opens doors to some of the most in-demand and future-proof careers in technology. As organizations across industries rely heavily on data-driven decision-making, data scientists and AI professionals are now considered essential for digital transformation.
By 2026, India’s data science and analytics industry is projected to generate over 1.5 million new jobs, according to NASSCOM. The demand spans multiple sectors — from IT and banking to healthcare, e-commerce, and even government analytics programs.
Here’s an overview of the major job roles and career paths available to BTech Data Science graduates:
| Job Role | Primary Responsibilities | Average Entry-Level Salary (INR) |
| Data Scientist | Analyzing large datasets, building predictive models, and deriving insights for business decisions. | ₹8–12 LPA |
| Data Analyst | Interpreting structured/unstructured data, using tools like SQL, Excel, Power BI, or Tableau. | ₹5–8 LPA |
| Machine Learning Engineer | Designing ML models, optimizing algorithms, and integrating them into production systems. | ₹10–15 LPA |
| Data Engineer | Building data pipelines, maintaining databases, and ensuring efficient data flow across systems. | ₹8–12 LPA |
| Business Intelligence (BI) Analyst | Creating dashboards and reports that help organizations track KPIs and business performance. | ₹6–9 LPA |
| AI Engineer / Deep Learning Specialist | Developing AI-powered applications such as NLP models, chatbots, or image recognition systems. | ₹10–18 LPA |
| Big Data Engineer | Handling large-scale data storage and processing using Hadoop, Spark, and cloud-based tools. | ₹9–14 LPA |
| Research Scientist (AI / ML) | Conducting R&D in machine learning, computer vision, and AI ethics. | ₹12–20 LPA |
| Data Architect | Designing end-to-end data infrastructure for organizations. | ₹15–25 LPA |
Industry Sectors Hiring Data Science Graduates:
- Information Technology & Software Services – TCS, Infosys, Wipro, Accenture, IBM.
- Finance & FinTech – JPMorgan Chase, HDFC, Paytm, Razorpay.
- E-commerce & Retail – Amazon, Flipkart, Meesho, Myntra.
- Healthcare & Pharma – Apollo Hospitals, Novartis, 1mg.
- Consulting & Analytics – Deloitte, PwC, KPMG, Fractal Analytics, Mu Sigma.
- Government & Research – NITI Aayog, DRDO, NIC, and ISRO analytics divisions.
BTech Data Science Salary
The salary after a BTech in Data Science varies widely depending on factors like skill set, company type, certifications, and domain expertise. However, it remains one of the highest-paying engineering fields in India.
In 2026, the average starting salary for data science graduates ranges between ₹6–10 LPA, while professionals with 3–5 years of experience can earn ₹15–25 LPA or more. Top-tier companies and startups, especially in AI and analytics, offer even higher packages for specialized roles.
BTech Data Science Average Salary
| Experience Level | Average Annual Salary (INR) |
| Freshers (0–2 years) | ₹6–10 LPA |
| Mid-Level Professionals (3–6 years) | ₹12–20 LPA |
| Senior Data Scientists (7–10 years) | ₹20–35 LPA |
| AI / ML Architects & Leads | ₹30–50 LPA+ |
| Global Positions (MNC / R&D roles) | ₹45–80 LPA (or equivalent USD) |
Average Salary by Role
Job Role |
Average Salary (INR) |
Data Analyst |
₹5–8 LPA |
Data Scientist |
₹8–15 LPA |
Machine Learning Engineer |
₹10–18 LPA |
Big Data Engineer |
₹9–14 LPA |
AI Engineer |
₹12–20 LPA |
Business Intelligence Engineer |
₹6–10 LPA |
Research Scientist (AI/ML) |
₹15–25 LPA |
Top Recruiters Offering High Packages
- Tech Giants: Google, Amazon, Microsoft, IBM, Oracle, Meta, and Adobe.
- Consulting & Analytics Firms: Deloitte, PwC, KPMG, EY, Fractal Analytics, Mu Sigma.
- Startups & FinTech: CRED, Swiggy, Meesho, Paytm, Razorpay, ZestMoney.
- Research Labs & R&D: TCS Innovation Labs, ISRO, DRDO, and IIT research projects.
Download BTech Data Science Career Projection Report
Data Science has evolved from a niche discipline to one of the most powerful career accelerators in the digital economy. A BTech in Data Science prepares students for roles at the intersection of technology, analytics, and artificial intelligence, offering high salaries, rapid career growth, and global mobility.
Between 2026 and 2035, the Indian data analytics market is projected to grow from approximately $6.5 billion to over $18 billion, while the global data science industry is expected to cross $500 billion in valuation. This surge is driven by the adoption of AI, cloud computing, and machine learning across nearly every sector — from finance and healthcare to agriculture and defense.
Download BTech Data Science Career Projection Report (2026–2035) Here.
FAQs
What is BTech in Data Science?
BTech in Data Science is a 4-year undergraduate engineering program that combines computer science, mathematics, statistics, and artificial intelligence to analyze and interpret large datasets. Students learn tools like Python, SQL, and TensorFlow to solve real-world problems in finance, healthcare, e-commerce, and technology.
What is the eligibility for BTech Data Science in 2026?
To pursue BTech Data Science, candidates must have completed 10+2 with Physics, Chemistry, and Mathematics (PCM) from a recognized board with at least 50–60% marks. Admission is typically through JEE Main, JEE Advanced, or university-level entrance exams such as VITEEE, SRMJEEE, or CUET.
What is the average salary after BTech in Data Science?
Fresh graduates can expect an average salary of ₹6–10 LPA, which can rise to ₹20–35 LPA with experience and specialized skills in machine learning, AI, and cloud analytics. Top companies like Google, Amazon, Deloitte, and IBM offer premium packages to skilled data professionals.
Which are the top BTech Data Science colleges in India?
Some of the best BTech Data Science colleges include IIT Roorkee, IIT Mandi, IIIT Kurnool, Jamia Millia Islamia, VIT Vellore, SRM University, Amrita Vishwa Vidyapeetham, and Delhi Technological University (DTU). These institutes offer strong placements and modern AI-driven curricula.
What are the career opportunities after BTech in Data Science?
Graduates can work as Data Scientists, Machine Learning Engineers, Data Analysts, AI Engineers, or Business Intelligence Specialists across IT, finance, healthcare, and e-commerce sectors. With the rapid growth of AI and analytics, job opportunities in this domain are expected to grow by 30–40% annually.