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BTech Data Science 2025 Admission

BTech Data Science 2025: Check Eligibility, Admission, Top Colleges, Entrance Exams, Fees & Career Scope

Vaishali Pandey
Updated On:
Apr 21, 2025

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In 2025, the demand for data science professionals in India has surged, with industries increasingly relying on data-driven decision-making. Pursuing a BTech Data Science degree has become a strategic pathway for students to capitalise on this trend. 

Admission to premier institutions such as the Indian Institutes of Technology (IITs) is highly competitive. Tuition fees for BTech Data Science programs vary, with top colleges charging between INR 2 lakh to INR 10 lakh or above per annum. 

Keep reading to explore these aspects in detail and embark on your journey toward a successful career in data science.

By the end of this blog, you will know

  • The eligibility requirements and admission process for BTech Data Science programs.
  • A list of top colleges offering BTech Data Science and their fee structures.
  • Insights into entrance exams and career opportunities post-graduation.

BTech Data Science: Key Highlights

BTech Data Science: Key Highlights

BTech Data Science is a four-year undergraduate program that equips students with essential data extraction, analysis, and interpretation skills. It prepares them for diverse roles in finance, healthcare, and technology sectors.

The table below presents an overview of BTech Data Science, covering eligibility, course duration, fees, top colleges, and career opportunities.

Aspect Course Details
Course Level Undergraduate Degree
Full-Form Bachelor of Technology in Data Science
Course Duration 4 years
Eligibility 70% aggregate in 10+2 standard with PCM and Maths as a mandatory subject with a 50% score
Admission Process Entrance Exam/Merit Based
Course Fee Ranges from INR 2-3 Lakhs
Average Annual Salary Up to 10 LPA
Leading Recruiting Companies Amazon, Capgemini, Wipro, Infosys, TCS, IBM, HCL, Quick Heal, SYNTEL and others
Job Roles Data Architects, Financial Modeler, Data Engineers, Clinical and Pharmaceutical Data Analyst, Database Administrators and positions alike

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Why Choose BTech Data Science Course?

According to a recent NASSCOM report, India's data science sector is expected to create over 1 million jobs by 2026. 

If you're considering a career that blends technology with problem-solving, here’s why this degree is worth it:

1. Booming Job Market

With companies generating vast amounts of data, there is a pressing need for professionals who can analyse and interpret this information.

2. High Salary Potential

Data science roles offer some of the best salary packages in the tech industry. Fresh graduates with a BTech in Data Science can expect starting salaries between INR 6 to 12 LPA.

3. Versatile Career Opportunities

Industries like finance, healthcare, e-commerce, and manufacturing require data scientists for risk assessment, automation, customer behaviour analysis, and more.

4. Future-Proof Career

Data science remains a future-proof career, as businesses will always need experts who can extract insights from complex datasets.

5. Strong Industry Demand in India & Abroad

Companies in the US, UK, Canada, and Germany offer competitive salaries to attract skilled data science graduates globally.

Eligibility Criteria for BTech Data Science in 2025

You must meet specific academic requirements to enroll in a BTech Data Science program. These criteria ensure that you have the required foundational knowledge in mathematics, computing, and analytical skills to thrive in this field.

Below is a table with a breakdown of the key eligibility criteria.

Criteria Minimum Requirement
Overall Percentage in 10+2 At least 70% aggregate in Class 12
Subject-Specific Requirement Minimum 60% in PCM (Physics, Chemistry, Mathematics), PCM with Biotechnology, or PCM with Computer Science
Mathematics Score At least 50% in Mathematics

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BTech Data Science 2025: Admission Process

BTech Data Science 2025: Admission Process

Top universities and colleges in India offer this course, but the admission process can vary based on entrance exams, merit-based selection, and institutional requirements. 

The admission process typically involves the following steps.

1. Meet the Eligibility Criteria

Candidates must meet the basic eligibility requirements to apply for BTech in Data Science.

2. Appear for an Entrance Exam

Most top colleges and universities in India require students to clear national, state, or university-level entrance exams to be admitted.

3. Apply to Colleges

Once you receive your entrance exam scores, you can apply to colleges based on the cut-off marks or merit lists released by universities.

4. Attend Counselling & Seat Allotment

You must register for colleges that conduct centralised counselling (e.g., IITs, NITs, and government universities), fill in your preferred choices, and attend seat allotment sessions.

5. Confirm Admission & Pay Fees

Once a seat is allotted, you must complete the admission process by submitting the required documents (mark sheets, ID proofs, category certificates, etc.) and paying the admission fees as per the institute’s guidelines.

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Key Entrance Exams for BTech Data Science in 2025

Most reputed institutions, including IITs, NITs, IIITs, and private universities, require students to clear specific entrance exams to secure admission to the BTech Data Science program.

Here’s a table with a detailed breakdown of the major entrance exams for Data Science in BTech admission.

Entrance Exam Exam Dates
JEE Main JEE Main 2025 Exam Date Session 2: 01 Apr '25 - 08 Apr '25
JEE Advanced 18 May 2025
MHT CET 9–27 Apr 2025
BITSAT Session 1: May 26–30, 2025
Session 2: June 22–26, 2025
WBJEE 27 April 2025

Wondering if you’ll clear the JEE Mains cutoff for top institutes? Check the expected JEE Mains Cut Off 2025 and find the qualifying marks for IITs, NITs, and GFTIs now! 

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Effective Strategies to Ace BTech Data Science Entrance Exams 2025

Cracking a BTech Data Science entrance exam requires a structured approach, strategic planning, and consistent effort. 

Below are some key preparation tips that will help you stay ahead in the game and boost your chances of getting into a top-tier BTech Data Science program.

1. Strengthen Your Core Concepts

Focus on Physics, Chemistry, and Mathematics (PCM) from Class 11 & 12 as they form the foundation of the entrance exam syllabus.

2. Create a Study Plan & Stick to It

Develop a realistic and structured timetable, allocating time for each subject based on your strengths and weaknesses.

3. Practice Mock Tests & Previous Year Papers

Solve mock tests, sample papers, and previous years' question papers to understand the exam pattern and improve speed & accuracy.

4. Make Subject-Wise Notes for Quick Revision

Maintain separate notebooks for formulas, concepts, and key points in Physics, Chemistry, and Mathematics to revise quickly before the exam.

5. Prioritise Regular Revisions

Dedicate at least 2 hours daily for revision to reinforce learned concepts. Attempt weekly self-assessment tests to track progress and work on weak areas.

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Comprehensive BTech Data Science Syllabus

The BTech Data Science syllabus is designed to provide students with a strong foundation in computer science, mathematics, statistics, and data analytics. 

The table below provides a semester-wise breakdown of key subjects covered in the program.

Semester 1 Semester 2
Professional English and Soft Skills / Engineering Graphics and Computer-Aided Design Analytical Mathematics
Matrices and Calculus Engineering Physics / Engineering Materials
Engineering Physics / Engineering Materials Professional English and Soft Skills / Engineering Graphics and Computer-Aided Design
Problem-Solving Using C Introduction to Digital Systems / Engineering and Design
Introduction to Digital Systems / Engineering and Design Sustainable Engineering Systems
Engineering Immersion Lab Data Structures
Engineering Physics Lab / Materials Chemistry Lab Python for Data Science
- Engineering Immersion Lab
- Engineering Physics Lab / Materials Chemistry Lab
Semester 3 Semester 4
Applied Linear Algebra Discrete Mathematics
Design and Analysis of Algorithms Digital Marketing Analytics
Database Management Systems Data Wrangling
Java Programming Data Handling and Visualisation
R for Data Science Department Elective-II
Department Elective-I Non-Department Elective–II
Non-Department Elective-I Data Wrangling Lab
Database Management Systems Lab Data Handling and Visualisation Lab
- Design Project-I
- Internship
Semester 5 Semester 6
Probability and Statistics Software Project Management
Business Intelligence and Analytics Machine Learning
Predictive Modeling and Analytics Data Warehousing and Data Mining
Artificial Intelligence Modern Software Engineering
Professional Ethics and Life Skills Business Economics
Department Elective-III Department Elective-IV
Non-Department Elective–III Non-Department Elective–IV
Business Intelligence and Analytics Lab Data Mining Tools Lab
Design Project with IoT -
Semester 7 Semester 8
Text Analytics and Natural Language Processing Project & Viva – voce
Big Data and Analytics -
Time Series Analysis and Forecasting -
Deep Learning -
Department Elective–V -
Non-Department Elective–V -
Real-time Case Study Lab -
Design Project-III -

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Core Subjects in BTech Data Science

BTech Data Science is a dynamic program that enables students to work with real-world data, develop machine learning models, and create data-driven solutions.

The table below highlights the key data science subjects in BTech.

Subject Key Learning Areas
Python for Data Science Introduction to data science, Python programming, data preprocessing, and visualisation using Pandas.
Database Management Systems Concepts of database systems, object-oriented and distributed databases, XML, data warehousing, and mobile databases.
JAVA Programming Application of Java-based coding, GUI-based applications, Applet, and AWT framework.
R for Data Science Basics of R programming, executing syntax, and performing matrix operations.
Data Handling & Visualisation Basics of data visualisation, working with time series, proportions, and associations.

BTech Data Science 2025: Recommended Books

Having the right study materials is essential for mastering BTech Data Science. Below are some of the most recommended books for BTech Data Science students.

Books Name of the Author
Engineering Physics Practicals, Dhanam Publications, Chennai, 2005 P. Mani
Introduction to Programming using Python, Pearson, 2012 Y. Daniel Liang
JAVA The Complete Reference, 10th Edition, McGraw Hill Education, 2017 Herbert Schildt
Fundamentals of Data Visualisation: A Primer on Making Informative and Compelling Figures, 1st edition, O’Reilly Media Inc, 2019 Claus Wilke
Miller and Freund’s Probability and Statistics for Engineers, Pearson Education, Asia, 7th Edition, 2007 Johnson R.A. and Gupta C.B.
Software Project Management – Fifth Edition, Tata McGraw Hill, New Delhi, 2012 Bob Hughes, Mike Cotterell and Rajib Mall

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Top Institutes for BTech Data Science 2025

BTech Data Science institutes are ranked based on faculty expertise, infrastructure, research opportunities, and placement records. 

Below is a list of some top colleges offering BTech in Data Science in India.

Name of the College Location Average Fees
Sharda University Uttar Pradesh INR 7.48 Lakhs
Dev Bhoomi Uttarakhand University Dehradun INR 1.6 Lakh
NMIMS University (Mukesh Patel School of Technology Management and Engineering) Mumbai INR 12.46 Lakhs
Jagannath University Rajasthan INR 2.6 Lakhs
JIET Institute of Design and Technology Jodhpur INR 3.6 Lakhs
Glocal School of Science and Technology Uttar Pradesh INR 4.81 Lakhs

Note: Please refer to the official website for the latest fee updates and other details.

Want to explore top-tier engineering institutes beyond IITs? Check out the Top 10 Engineering Colleges in India Other Than IITs and discover elite options for your BTech journey! 

BTech Data Science vs BCA Data Science: A Detailed Comparison

Choosing between BTech Data Science and BCA Data Science can be confusing, as both courses focus on data analysis, machine learning, and programming. However, there are key differences in their curriculum, duration, career scope, and eligibility criteria.

Here’s a table with a detailed comparison between the two courses.

Parameter BTech Data Science BCA Data Science
Full Form Bachelor of Technology in Data Science Bachelor of Computer Applications in Data Science
Overview This course helps you gain comprehensive computer technology knowledge and essential data science subjects. BCA in Data Science provides a deep understanding of computer applications and software development while equipping you with data science and programming skills.
Duration 2 years 3 years
Eligibility 70% aggregate in 10+2 standard with PCM and Maths as a compulsory subject with a 50% score 10+2 with Maths as a mandatory subject
Average Fee Ranges from INR 2-3 Lakhs INR 2 Lakhs
Average Salary Offered Up to INR 10 Lakhs per annum Up to INR 8 Lakhs per annum

Confused between BTech Data Science and BCA?  Explore the BCA Syllabus 2025 with a semester-wise breakdown of subjects and admission details. Find out which path suits you best!

BTech Data Science 2025: Job and Salary Prospects

The field of BTech Data Science offers a dynamic career path with various opportunities across industries. Graduates can explore roles in IT, finance, healthcare, e-commerce, and more.

The table below shows the popular job roles and their average salaries for BTech Data Science graduates.

Job Profile Average Salary (in INR)
Data Architects Up to INR 19 Lakhs
Financial Modeler Up to INR 8.05 Lakhs
Data Engineers Up to INR 8.69 Lakhs
Clinical and Pharmaceutical Data Analyst Up to INR 3.06 Lakhs
Database Administrators Up to INR 10 Lakhs

Thinking about advancing your data science career? Explore MSc Data Science—discover top specialisations, career opportunities, and eligibility criteria. 

BTech Data Science is an excellent choice for students looking to build a career in the rapidly growing field of data analytics, artificial intelligence, and machine learning. With top colleges offering specialised courses, a well-structured syllabus, and promising job opportunities, this degree equips you with the technical and analytical skills required in today’s data-driven world. 

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FAQs About BTech Data Science

What is BTech in Data Science?

BTech in Data Science is an undergraduate program focusing on data analysis, machine learning, and statistical methods to extract insights from data.

What are the eligibility criteria for BTech in Data Science?

Typically, candidates must have completed their 10+2 education focusing on Mathematics and Science, along with qualifying entrance exams.

Which entrance exams are required for BTech in Data Science?

Common entrance exams include JEE Main, JEE Advanced, and state-level engineering entrance tests.

What are the top colleges for BTech Data Science in 2025?

Some of the top colleges include IITs, NITs, and various private engineering institutions known for their data science programs.

What is the fee structure for the BTech Data Science program?

Depending on the institution, fees can vary widely, ranging from INR 1 lakh to 3 lakhs per annum.

What subjects are included in the BTech Data Science curriculum?

The curriculum typically includes data science subjects in BTech, such as statistics, machine learning, data mining, and programming.

What skills are essential for a career in Data Science?

Key skills include programming, statistical analysis, data visualisation, and machine learning.

What is the career scope after completing BTech in Data Science?

Graduates can pursue careers as data analysts, data scientists, machine learning engineers, and business analysts.

Is BTech in Data Science a good career choice?

Yes, the growing demand for data professionals offers lucrative job opportunities and career growth.

What are the job prospects for BTech Data Science graduates?

Graduates can find opportunities in various sectors, including IT, finance, healthcare, and e-commerce.

Can I pursue higher studies after completing a BTech in Data Science?

Yes, graduates can opt for master's programs or specialised certifications in data science or related fields.

What is the difference between BTech in Data Science and Computer Science?

While both fields involve programming, BTech in Data Science focuses more on data analysis and statistical methods.

Are internships important during BTech in Data Science?

Yes, internships provide practical experience and enhance employability in the competitive job market.

How can I prepare for entrance exams for BTech in Data Science?

Candidates should focus on important mathematics and logical reasoning topics and practice previous years' question papers to excel in entrance exams.

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