4 Years
Under Graduate
Engineering
Full Time
B.Tech. CSE in Data Science is a 4-year undergraduate course. It integrates Computer Science and Data Analytics. The students who take this course typically focus on programming, solving real-world problems through data, and the development of intelligent applications with features such as recommendation systems, AI bots, and much more. There is a growing need for data scientists in many industries. This course is a great choice for those who want future tech careers.
B.Tech. CSE in Data Science syllabus 2026 includes subjects like programming, machine learning, and data science. This program teaches students how to collect, clean, and analyze data to use it to make better decisions. The program also teaches students to automate processes. Students who are good with numbers, coding, and technology, this program can lead them to high-paying jobs in the future.
The B.Tech. CSE in Data Science eligibility requires students to pass the 12th standard from a recognized board. The main subjects that are required are Physics, Chemistry, and Mathematics. Generally, the prerequisite score in most BTech colleges is 50-60% marks. The B.Tech. CSE in Data Science admission 2026 process usually depends on the performance in entrance exams such as JEE Main, state-level CETs, or university-specific tests.
Top B.Tech. CSE in Data Science colleges in India include IITs, NITs, and well-known private universities like VIT, SRM, and Manipal. These colleges offer quality education and placement support for students. The average B.Tech. CSE in Data Science fees in India range from around INR 1 lakh to INR 3.5 lakh, depending on the college you choose.
Graduates can work as Data Analysts, Data Scientists, or ML Engineers. The average starting B.Tech. CSE in Data Science salary in India ranges from INR 5 to INR 12 LPA. It can increase with more experience. Students can also do higher studies like M.Tech., MBA to improve career options.
Studying B.Tech. CSE in Data Science is a great choice for students who want to be part of the data revolution. This course combines computer science with data analytics, machine learning, and AI. These are the skills needed in IT, finance, healthcare, and e-commerce. The world is generating a lot of data. That's why companies need to hire data analysts to turn raw data into useful information. Choosing B.Tech. CSE in Data Science opens the door to good job offers, high salaries, and a promising career. It also allows you to work on top-notch technology projects.
B.Tech. CSE in Data Science is a 4-year degree in Computer Science. It has 8 semesters with basic subjects like including Python, data structures, statistics, machine learning, AI, and big data. Besides theory, there are projects, internships, and lab work. Students also learn about Python, SQL, TensorFlow, and Hadoop. This course focuses on how to use data in the real world. The degree is available in top universities and colleges across India. The syllabus is updated regularly. This is to enable students to always remain competitive with the current industry and job market.
Here are key highlights of B.Tech. CSE in Data Science:
| Particulars | Details |
| Course Name | B.Tech. in Computer Science and Engineering (CSE) with Specialization in Data Science |
| Course Level | Undergraduate (Bachelor’s Degree) |
| BE CSE Data Science Course Duration | 4 Years (8 Semesters) |
| Eligibility Criteria | 10+2 with Physics, Chemistry, and Mathematics (PCM); Minimum 50–60% |
| BE CSE Data Science Admission Process | Entrance Exams (e.g., JEE Main, state CETs) or Merit-Based |
| Top Entrance Exams | JEE Main, MET, VITEEE, SRMJEEE, WBJEE, CUET |
| BE CSE Data Science Fee | ₹2 – ₹10 Lakhs (varies by institute) |
| Major Subjects Covered | Python, Data Structures, DBMS, Machine Learning, AI, Data Mining, Big Data Analytics |
| Top BE CSE Data Science Specializations |
Artificial Intelligence, Big Data, NLP, Cloud Computing, Deep Learning |
| Internship/Project Requirement | Mandatory Industry Internship and Capstone Project in Final Year |
| Tools and Technologies | Python, R, SQL, Tableau, TensorFlow, Hadoop, Power BI, AWS |
| Top Recruiters | Google, Amazon, TCS, Infosys, Wipro, Deloitte, Microsoft |
| BE CSE Data Science Salary | ₹6 – ₹12 LPA |
| BE CSE Data Science Career Options | Data Scientist, ML Engineer, Data Analyst, AI Engineer, BI Developer |
| Future Scope | High demand across sectors like IT, Healthcare, E-commerce, Fintech, and Government |
B.Tech. CSE in Data Science admission generally commences right after the 12th board exams. The candidates who meet the eligiblity criteria can register for entrance exams like JEE Main, MHT CET, WBJEE, etc. The selection of students for the admission process is based on the scores of entrance exams, results of the 12th board, and the counseling process. Some colleges give direct admission to the students who have the required merits. A few colleges offer direct admission based on merit. To learn more about admission schedules, eligibility, and the application process for 2026 session, visit the college websites.
Here are key details about B.Tech. CSE in Data Science admission process 2026:
| Admission Process | Details |
| Application Period | Typically starts in May-June 2026 |
| Mode of Admission | Based on entrance exams (e.g., JEE Main, state-level CETs) or merit-based (Class 12 marks) |
| Counseling Process | Centralized or institute-specific counseling based on entrance exam ranks or merit |
| Documents Required | Class 12 marksheet, entrance exam scorecard, ID proof, passport-sized photographs, caste/category certificate (if applicable) |
The B.Tech CSE in Data Science eligibility criteria include completion of 10+2 (Class 12) from a recognized board. Students must also have taken Physics, Chemistry, and Mathematics as their main subjects. Most of the colleges demand 50%-60% in the total marks criteria. However, the students from weaker sections of society, like SC/ST/OBC categories, get the benefits of some of the marks relaxation. The students have to pass a recognized entrance exam like JEE Main 2026, or any other state/university-level engineering exam. Additionally, they must have good English skills. English is the language used to teach the course and is essential for completing it. The eligibility criteria may vary slightly between colleges and their admission process. But the core requirements are not very different.
Here are the key details about B.Tech CSE in Data Science Eligibility Criteria 2026:
| Criteria | Details |
| Educational Qualification | Completion of Class 12 with Physics, Chemistry, and Mathematics as core subjects |
| Minimum Marks | Typically, a minimum of 50-60% aggregate marks in Class 12; relaxation for reserved categories as per government norms |
| Entrance Exam | Valid score in JEE Main, state-level CETs, or university-specific entrance exams |
| Age Limit | Generally, there is no upper age limit; however, some institutes may have specific age criteria |
Entrance exams are the main way to get into B.Tech. CSE in Data Science programs in 2026. The most popular one is JEE Main 2026, run by NITs, IIITs, and state colleges. There are also other exams like BITSAT, VITEEE, SRMJEEE, WBJEE, and MHT CET. The B.Tech. CSE Data Science entrance exam evaluates your knowledge of the topics Physics, Chemistry, and Math. Also, some institutions will assess your skill in logical thinking and the basics of programming. Some private universities conduct their own entrance examinations, whereas the others just appraise your JEE marks. In these exams, you should pay attention to your class 11 and 12 concepts that will result in better performance and the ability to get a good college and rank.
Here are key details about B.Tech. CSE Data Science Entrance Exam 2026:
| Exam | Conducting Body | Purpose | Subjects Tested |
| JEE Main | National Testing Agency | Admission to NITs, IIITs, and other centrally funded institutes | Physics, Chemistry, Mathematics |
| State CETs | Respective State Governments | Admission to state engineering colleges | Varies by state (usually PCM) |
| University-Specific Exams | Respective Universities | Admission to university-affiliated colleges | Varies by university |
The BTech CSE in Data Science syllabus combines computer science and data-focused subjects. The basics include Python, data structures, algorithms, databases, math, statistics, machine learning, AI, and big data. The advanced parts are deep learning, cloud computing, and data visualization. Students get to do lab work, mini projects, and industry internships. They also learn technologies like R, Python, SQL, TensorFlow, Hadoop, and Power BI. This curriculum aims to teach both the theory and practical skills needed to solve data science problems in different fields.
Here are key details about BTech CSE in Data Science Syllabus:
| Semester | Subjects | Practical/Lab Work |
| Sem 1 | Mathematics I, Physics, Basic Electronics, Programming in C, Engineering Mechanics | Physics Lab, C Programming Lab, Workshop Practice |
| Sem 2 | Mathematics II, Chemistry, Data Structures, Digital Logic Design, English Communication Skills | Chemistry Lab, Data Structures Lab, Language Lab |
| Semester | Subjects | Practical/Lab Work |
| Sem 3 | Discrete Mathematics, Computer Organization, Object-Oriented Programming, Operating Systems, Probability & Stats | OOP Lab (C++/Java), OS Lab, Statistics Lab |
| Sem 4 | DBMS, Computer Networks, Software Engineering, Design & Analysis of Algorithms, Introduction to Data Science | DBMS Lab, CN Lab, DSA Lab, Mini Project |
| Semester | Subjects | Practical/Lab Work | Electives (Choose 1) |
| Sem 5 | Machine Learning, AI Fundamentals, Data Mining, Web Technologies, Advanced DBMS | ML Lab, Web Tech Lab | Natural Language Processing, Big Data Basics |
| Sem 6 | Deep Learning, Cloud Computing, Information Security, Software Testing | Deep Learning Lab, Cloud Lab | IoT Systems, Image Processing |
| Semester | Subjects | Projects & Electives | Industry Exposure |
| Sem 7 | Big Data Analytics, Business Intelligence, Human-Computer Interaction | Elective III (e.g., Blockchain), Minor Project | Industry Internship / Live Project |
| Sem 8 | Capstone Project, Seminar & Report Writing | Elective IV (e.g., Robotics or Recommender Systems) | Final Internship / Research Project |
The students doing B.Tech. CSE in Data Science can choose from many specializations in their last few years. Some of the popular specializations include Artificial Intelligence, Machine Learning, Big Data Analytics, Cloud Computing, Natural Language Processing (NLP), and Computer Vision. The B.Tech. CSE in Data Science specializations help students learn specific aspects of data science more deeply. This is done through focus-on electives, project work, and practical labs. These specializations also greatly improve the job prospects of students. They match the needs of the industry. Choosing the right specialization greatly helps graduates get niche roles in top tech companies and research institutions.
Here are key details about B.Tech. CSE in Data Science Specializations:
| Specialisation | Description |
| Artificial Intelligence | Focus on building intelligent systems that can simulate human behavior and decision-making processes |
| Machine Learning | Emphasis on developing algorithms that allow computers to learn from and make predictions on data |
| Big Data Analytics | Techniques for processing and analyzing large datasets to uncover hidden patterns and insights |
| Cloud Computing | Study of delivering computing services over the cloud, including storage, processing, and networking |
| Natural Language Processing | Understanding and processing human languages to enable machines to interpret and respond to text or voice data |
In India, several universities offer B.Tech. in CSE with a particular focus on Data Science. These institutions provide updated infrastructures and high-quality education. IIT Hyderabad, IIT Jodhpur, NIT Trichy, IIIT Hyderabad, VIT Vellore, SRM University, and Amrita Vishwa Vidyapeetham are some of the top BTech CSE Data Science colleges in India. These institutions introduce updated curricula that are taught by experienced faculty, conduct research, and get the best placements. Admission is based on exams like JEE Main, JEE Advanced, or university-specific tests. These institutes focus on core subjects like AI, ML, Big Data, and Data Analytics, preparing students for top industry roles and higher education abroad.
Here are key details about BTech CSE Data Science colleges in India:
| Institute | Location | Type | Average Annual Fee (INR) | Top Recruiters |
| IIT Madras | Chennai, Tamil Nadu | Government | 62,500 | Google, Amazon, Microsoft |
| BITS Pilani | Pilani, Rajasthan | Private | 2.74 Lakhs | Adobe, Goldman Sachs, Flipkart |
| VIT Vellore | Vellore, Tamil Nadu | Private | 7.80 Lakhs | Cognizant, Infosys, TCS |
| NIT Trichy | Tiruchirappalli, Tamil Nadu | Government | 2.79 Lakhs | Accenture, IBM, Deloitte |
| SRM Institute of Science and Technology | Chennai, Tamil Nadu | Private | 17 Lakhs | Capgemini, Wipro, H |
| College Name | Location | Entrance Exam | Average Fees (INR/year) | Top Recruiters |
| VIT Vellore | Tamil Nadu | VITEEE | ₹1.95 – ₹2.5 Lakhs | TCS, Infosys, Microsoft |
| SRM Institute of Science & Technology | Chennai, Tamil Nadu | SRMJEEE | ₹2.5 – ₹3 Lakhs | Wipro, Capgemini, Cognizant |
| Manipal Institute of Technology (MIT) | Karnataka | MET | ₹3 – ₹3.5 Lakhs | Bosch, Dell, Accenture |
| Amity University | Noida, Uttar Pradesh | Direct/JEE | ₹2 – ₹3.5 Lakhs | HCL, IBM, EY |
| Shiv Nadar University | Uttar Pradesh | SNUSAT/JEE | ₹2.5 – ₹4 Lakhs | Deloitte, ZS Associates |
| College Name | Location | Entrance Exam | Average Fees (INR/year) | Top Recruiters |
| IIT Hyderabad | Telangana | JEE Advanced | ₹2.25 Lakhs | Google, Amazon, Flipkart |
| IIT Jodhpur | Rajasthan | JEE Advanced | ₹2.1 Lakhs | Intel, IBM, Goldman Sachs |
| NIT Trichy | Tamil Nadu | JEE Main | ₹1.5 Lakhs | Oracle, L&T, Cognizant |
| IIIT Bhopal | Madhya Pradesh | UGEE/JEE Advanced | ₹3 Lakhs | Adobe, Facebook, Nvidia |
| DTU (Delhi Technological University) | Delhi | JEE Main | ₹1.8 Lakhs | Zomato, Paytm, Capgemini |
B.Tech CSE in Data Science fees in India depend on the category and location of colleges. The annual tuition fees in the government colleges such as IITs and NITs are between INR 1-2 lakhs. Private colleges like VIT, SRM, and Amity take INR 1.5-3.5 lakhs annually. Some deemed universities can charge up to INR 14 lakhs for the whole course. The courses also incur additional costs for hostel, books, and lab equipment. Many colleges give students scholarships and fee waivers. The job percentages are decent, and the pace of the IT industry is high. Thus, the B.Tech CSE in Data Science is a very promising course in India.
| Institute Type | Fee Range (Per Year) | Total Course Fee (Approx) | Notes |
| Government (IIT/NIT/IIIT) | ₹60,000 – ₹2.25 Lakhs | ₹2.5 – ₹8 Lakhs | Lower fees, higher ROI, excellent placement |
| Private Universities | ₹1.5 – ₹3.5 Lakhs | ₹6 – ₹14 Lakhs | High-tech infrastructure, industry tie-ups |
| Deemed Universities | ₹2 – ₹4 Lakhs | ₹8 – ₹16 Lakhs | Additional charges for hostel, labs, etc. |
| Scholarships Available | Based on merit/caste/income | Varies | Reduces financial burden, especially in private institutions |
B.Tech CSE in Data Science offers several career opportunities in India and abroad. The domains like IT, healthcare, finance, e-commerce, telecom and government have started using big data, AI, and analytics for different verticals and, therefore, the professionals with these skills are in great demand. The positions can be Data Scientist, Machine Learning Engineer, AI Developer, Data Analyst, and Business Intelligence Expert. Along with this smooth career path, one can also engage in R&D, data engineering, cybersecurity, and cloud computing. Furthermore, for higher studies, students may go for M.Tech, MBA in Data Analytics, or MS abroad. The rapid growth in technology will lead to a big gap between the demand and availability of data professionals in the coming years.
Here are key details about B.Tech CSE in Data Science Career Options:
| Career Area | Opportunities |
| IT & Software Development | AI Engineer, Software Developer, Data Engineer |
| Finance & FinTech | Quant Analyst, Fraud Detection Specialist |
| Healthcare | Bioinformatics Analyst, Healthcare Data Analyst |
| E-commerce & Retail | Recommendation System Developer, Data Analyst |
| Research & Academia | Data Scientist, Research Scholar in AI/ML |
| Government Sector | Policy Analyst, Data Officer in Govt. bodies like MeitY, NIC |
B.Tech. degree in CSE in Data Science offers various lucrative job options. Graduates can work as Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, Business Intelligence Developer, Big Data Engineer, and Cloud Data Engineer. Students can gain the knowledge and expertise to take these additional roles as NLP Engineers, Computer Vision Specialists, or IoT Data Engineers if they wish. The required skills to be competitive for these positions are Python, SQL, R, TensorFlow, Hadoop, and visualization tools of data like Tableau or Power BI. BTech CSE in Data Science jobs are well-paid, offer career stability, and professional growth.
Here are key details about BTech CSE in Data Science jobs:
| Job Role | Key Responsibilities |
| Data Scientist | Extract insights from large datasets using ML, statistics, and visualization |
| Machine Learning Engineer | Build and deploy ML models into production |
| AI Engineer | Design AI systems, including chatbots, recommendation engines, and vision models |
| Data Analyst | Analyze business data, create dashboards, and provide actionable insights |
| Data Engineer | Design data pipelines and manage large-scale data architecture |
| NLP Engineer | Develop systems that understand and generate human language (e.g., voice assistants, chatbots) |
| Business Intelligence Developer | Build BI tools and dashboards for organizational decision-making |
| Tech Companies | Consulting & Services | Startups & Others |
| Accenture | Razorpay | |
| Amazon | Deloitte | Zomato |
| Microsoft | Capgemini | Swiggy |
| IBM | EY | CRED |
| Infosys, TCS, Wipro, HCL | PwC, KPMG | Ola, Meesho |
The B.Tech. CSE in Data Science salary in India is generally between INR 5 to INR 12 LPA for freshers. The expected salary depends on the employer, job category, and educational institution. The alumni of IITs and IIITs frequently receive offers in the 20+ LPA range. Positions like Machine Learning Engineer, Data Scientist, and AI Developer offer high salaries. Private sector organizations, startups, and MNCs provide a solid income, incentive pay, and stock options. However, if the professionals have 3-5 years of experience, they can get INR 15‒25 LPA or higher salaries, based on their skills. The salary is generally higher if they are proficient in Python, SQL, cloud platforms, and deep learning.
Here are key details about B.Tech. CSE in Data Science Salary in India:
| Job Role | Fresher Salary (INR LPA) | Mid-Level (3–5 yrs) | Senior (5+ yrs) |
| Data Scientist | INR 6 – INR 10 LPA | INR 12 – INR 18 LPA | INR 20 – INR 35 LPA |
| Machine Learning Engineer | INR 7 – INR 12 LPA | INR 15 – INR 22 LPA | INR 25 – INR 40 LPA |
| AI Engineer | INR 6 – INR 11 LPA | INR 14 – INR 20 LPA | INR 25 – INR 35 LPA |
| Data Analyst | INR 4 – INR 8 LPA | INR 10 – INR 14 LPA | INR 15 – INR 25 LPA |
| Data Engineer | INR 5 – INR 9 LPA | INR 12 – INR 18 LPA | INR 20 – INR 30 LPA |
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