B.Tech in Data Science and Engineering

B.Tech in Data Science and Engineering in India is a cutting-edge four-year undergraduate curriculum that prepares students to thrive in the fast evolving field of data science. This interdisciplinary curriculum combines computer science, mathematics, statistics, and domain-specific expertise to extract useful insights from data and drive data-driven decision-making in a variety of businesses.

B.Tech in Data Science and Engineering program in India covers a wide range of topics, including data analytics, machine learning, statistics, data engineering, and data visualization. Students also investigate domain-specific applications, such as how data science approaches might be used to industries such as healthcare, banking, and e-commerce. With the increasing demand for data professionals in India, this program provides a variety of job opportunities, including data scientists, machine learning engineers, and data analysts.

Students who have finished their 10+2 education with a minimum of 50% marks are eligible for admission to a B.Tech in Data Science. Entrance tests or merit-based direct admissions are frequently used by universities. Application forms can be submitted online through the college website or in person at the university office, with some universities conducting interviews to assess knowledge and communication abilities. The selection procedure often takes both entrance exam results and undergraduate merit into account, enabling a simple path for qualified students to complete their B.Tech in Data Science in India.

Why Choose B.Tech in Data Science and Engineering?

Choosing to pursue a B.Tech in Data Science and Engineering is a decision supported by several strong reasons:

  • High Demand and Career Opportunities: it is the backbone of modern enterprises, and the demand for individuals who can harness and analyze it is increasing. Graduates of this degree have access to a wide range of profitable professional prospects in data science, machine learning, analytics, and other fields.
  • Versatility: Data science abilities are highly transferrable across other domains. Graduates can work in healthcare, banking, e-commerce, marketing, and virtually any other area that relies on data-driven decision-making, providing a diverse range of job opportunities.
  • Intellectual Challenges: Data science is an intellectually exciting field that involves complicated problem solving, technical mathematics, and algorithm building. It’s an excellent field for folks who appreciate addressing complex problems and continually extending their expertise.
  • High Salaries: Data science specialists are among the best paying in the technology and engineering sectors. The abilities learned in this curriculum can lead to a financially successful profession.
  • Impact on Innovation: The area of data science is at the forefront of innovation, pushing improvements in technology, research, and business strategy. Choosing this program means being a part of cutting-edge developments that shape the future.
  • Global Relevance: Data science abilities are in high demand throughout the world, giving graduates the opportunity to work on multinational projects and cooperate with professionals from a variety of backgrounds.


Program TitleB.Tech in Data Science and Engineering
Duration4 years
Core SubjectsDiscrete Structures, Mechanical Workshop, Engineering, Physics, Theory of Computation, Data Warehouse, Applied Statistical Analysis, Compiler Design, Business Intelligence, Big Data Analytics, Engineering Chemistry and the rest subjects
Eligibility10+2 (or equivalent) with a science background
Admission ProcessEntrance Exam and/or Merit-Based Admission
Course Fees Rs. 1,00,000 to Rs. 3,50,000 Per Annum
Average Salary Rs. 1,00,000/- to Rs.10,50,000/- Per Annum
Employment Data Architects, Financial Modeler, Data Engineers, Clinical and Pharmaceutical Data Analyst, Database Administrators, etc.
Top InstitutesIITs, NITs, and Leading Engineering Colleges


First Year

Semester ISemester II
Principal of Electrical and Electronics TechnologyApplication-Based Programming In Python 
ComputerMechanical Workshop
Engineering PhysicsEngineering Chemistry
Math IAdvanced Physics
Programming for Problem SolvingMath II
Introduction to Artificial Intelligence and Machine learning Soft Skill II
Soft Skill IMultimedia Application Lab

Second Year

Semester IIISemester IV
Building Essential LanguageCommunication to Conquer
OOPS Using JAVAData Acquisition
Data Structures Using CAdvance JAVA Lab
Computer Organization and ArchitectureEnvironmental Science
Discrete StructuresDatabase Management System
Introduction to Biology for EngineersComputer Networks
Applied Statistical AnalysisPrinciples of Operating System
Industrial InternshipProject Based Learning
Project-Based Learning IManagement Course

Third Year

Semester VSemester VI
Impress 2 ImpactData Mining
Data WarehouseOpen Elective II
Software Engineering and Testing MethodologiesProject-Based Learning IV
Theory of ComputationProgramme Elective II
Design and Analysis of the AlgorithmProgramme Elective III
Project-Based Learning IIITechnical Skill Enhancement Course II
Programme Elective IArtificial Intelligence
Industrial Internship IICompiler Design
Open ElectiveAce the interview
Technical Skill Enhancement Course I

Fourth Year

Semester VIISemester VIII
Business IntelligenceBig Data Analysis
Campus to CorporateUniversal Human Ethics and Values
Open Elective IIIOpen Elective.IV
Industrial InternshipProgramme Elective VI Programme Elective V
Professional Ethics and ValuesMajor Project II
Comprehensive Examination
Major Project I
Web Technologies
Programme Elective IV


Core Subjects 

  • Discrete Structures
  • Mechanical Workshop
  • Engineering Physics
  • Theory Of Computation
  • Data Warehouse
  • Applied Statistical Analysis
  • Compiler Design
  • Business Intelligence
  • Big Data Analytics
  • Engineering Chemistry And Rest Subjects

Elective Subjects 

  • Introduction to Mathematical and Statistical Techniques in Computer Science
  • Introduction to Graph Theory and its application
  • Introduction to Cloud Computing
  • Business Process Management
  • Social Media Analytics
  • Introduction to Deep Learning
  • Web and Text
  • Introduction to Things of Internet
  • Cluster Computing

Average Fees 

Courses Average Fees 
B.Tech in Production EngineeringRs. 1,00,000 to Rs. 3,50,000 Per Annum

Eligibility Criteria 

Eligibility CriterionDescription
Educational QualificationMust have completed 10+2 or equivalent examination. Should have studied Physics, Chemistry, and Mathematics as core subjects.
Minimum PercentageGenerally, candidates are required to have a minimum aggregate percentage (e.g., 50-75%) in their 10+2 examinations, depending on the university or counseling body.
Entrance Exam ScoreQualification in relevant engineering entrance exams such as JEE Main, BITSAT, or state-specific exams is often mandatory. The rank or score in the entrance exam plays a crucial role in the counseling process.
State Domicile (for State Quotas)For state government engineering colleges, some seats are reserved for candidates with domicile in that state.
Age LimitMany institutes have an age limit for candidates, typically 17-25 years.
NationalityIndian citizenship or eligibility as per the institute’s guidelines is generally required.
Special Category EligibilityReserved category candidates (SC, ST, OBC), Persons with Disabilities (PwD), and economically weaker sections (EWS) may have specific eligibility criteria and reservations.
Non-Objection Certificate (NOC)For candidates who have studied or are studying in foreign institutions, an NOC from the concerned authorities may be required.

Entrance Exams 

Entrance ExamsLink
JEE Main Exam(Click here)
JEE Advanced Exam(Click here)
Aligarh Muslim University Engineering Entrance Examination (AMUEEE)Click here
Amity Joint Entrance Examination (AJEE)Click here
Assam Common Entrance Examination (ACEE)Click here
Birla Institute of Technology and Science Admission Test (BITSAT)Click here
Chhattisgarh Pre-Engineering TestClick here
Cochin University of Science and Technology Common Admission Test (CUSAT CAT)Click here
Goa Common Entrance Test (GCET)Click here
Graduate Aptitude Test in EngineeringClick here
Himachal Pradesh Combined Entrance Test (HPCET)Click here
ITSAT ( CFAI Tech School Admission Test)Click here
Jammu & Kashmir Common Entrance TestClick here
JEE AdvancedClick here
Kerala Engineering Architecture Medical (KEAM)Click here
KIITEEClick here
Manipal_Entrance_Test_(MET)Click here
MHT CETClick here
Joint Entrance Examination (Main) or JEE MainClick here
SRM Joint Engineering Entrance ExamClick here
Jharkhand Combined Entrance Competitive Examination (JCECE)Click here
Vellore Institute of Technology Engineering Entrance Examination (VITEEE)Click here
Vignan’s Scholastic Aptitude Test (VSAT)Click here
West Bengal Joint Entrance Exam (WBJEE)Click here

Career Opportunities for B.Tech in Data Science and engineering Graduates.

Career OpportunityDescriptionSalary Range (Approximate)
Data ScientistAnalyzes data to derive insights and support decision-making.₹6,00,000 – ₹20,00,000
Machine Learning EngineerDevelops and implements machine learning models and algorithms.₹6,00,000 – ₹18,00,000
Data AnalystCleanses, transforms, and interprets data to provide insights.₹4,00,000 – ₹12,00,000
Big Data EngineerManages and optimizes big data infrastructure and tools.₹5,00,000 – ₹16,00,000
Business Intelligence AnalystCreates visual reports and dashboards for business insights.₹4,00,000 – ₹15,00,000
Database AdministratorManages, maintains, and secures databases for efficient data access.₹4,00,000 – ₹14,00,000
Artificial Intelligence EngineerDevelops AI applications and systems.₹6,00,000 – ₹20,00,000
Computer Vision EngineerSpecializes in image and video analysis applications.₹5,00,000 – ₹18,00,000
Natural Language Processing EngineerFocuses on language-related AI applications.₹5,00,000 – ₹18,00,000
Cybersecurity AnalystProtects data and systems from cyber threats.₹4,00,000 – ₹15,00,000
Data Science ManagerOversees data teams, strategy, and project management.₹10,00,000 – ₹25,00,000
Chief Data Officer (CDO)Sets data strategy and ensures data governance in organizations.₹20,00,000+

Top Colleges for B.Tech in Data Science and Engineering in India

InstitutionLocationApproximate Annual Fees (INR)
IIT Madras (Indian Institute of Technology, Madras)Chennai, Tamil Nadu₹1,50,000 – ₹3,50,000
IIT Kharagpur (Indian Institute of Technology, Kharagpur)Kharagpur, West Bengal₹2,00,000 – ₹4,50,000
Amity UniversityNoida, Uttar Pradesh₹1,50,000 – ₹2,50,000
BITS Pilani (Birla Institute of Technology and Science, Pilani)Pilani, Rajasthan₹2,00,000 – ₹10,50,000
IIT Guwahati (Indian Institute of Technology, Guwahati)Guwahati, Assam₹2,00,000 – ₹5,50,000
Coimbatore Institute of TechnologyCoimbatore, Tamil Nadu₹70,000 – ₹90,000
Indian Institute of Science, BangaloreBangalore, Karnataka₹2,00,000 – ₹750,000
SHARDA UNIVERSITYGreater Noida, Uttar Pradesh₹1,25,000 – ₹1,50,000
IIT Mandi (Indian Institute of Technology, Mandi)Mandi, Himachal Pradesh₹2,00,000 – ₹4,50,000
IIT Patna (Indian Institute of Technology, Patna)Patna, Bihar₹2,00,000 – ₹4,50,000
Dev Bhoomi Uttarakhand UniversityDehradun, Uttarakhand₹80,000 – ₹1,00,000

Engineering Predictors

Engineering predictors refer to tools that use historical data and algorithms to estimate a student’s rank or chances of admission in engineering entrance exams like JEE Main or JEE Advanced, or to predict their likelihood of getting into specific engineering colleges based on their exam performance and other relevant factors.

We offer a range of valuable predictors to guide students through this crucial journey. Here are some of the Predictor that we provide,

  • JEE Main Rank Predictor
  • JEE Advanced Rank Predictor
  • JEE Main College Predictor
  • JEE Advanced College Predictor

Engineering Admission Consultant 

As a JoSAA Counselling Expert, we offer specialized guidance and support for engineering admissions through the Joint Seat Allocation Authority (JoSAA) Counselling process. Our team of knowledgeable Engineering Admission Consultants is well-versed in Josaa and CSAB counselling process, and we are dedicated to helping students achieve their dream of pursuing a successful engineering career.

With our expertise, we provide personalized assistance at every step of the admission process. Whether it’s college selection, application support, or understanding the JoSAA Counselling procedure, we are here to ensure a smooth and hassle-free experience for aspiring engineers. Our Engineering Admission Consultant, also guide students for state level counseling.

Josaa Expert Counselling 

Our expert counselling services cover JoSAA Counselling, CSAB Counselling, admission to top private engineering colleges, state-level counselling, and NRI counselling. Whether you aim for prestigious institutions like IITs and NITs or seek admissions in private colleges or state government engineering institutes, we are here to assist you at every step. Our experienced counsellors provide personalized guidance, ensuring you make informed decisions throughout the admission process. Here’re some of the details about JoSAA Expert Counsellings we offered;

  • Josaa Counselling
  • CSAB Counselling
  • Top-Private Engineering College
  • State Level Counselling
  • Direct Admission Through Management Quota

Frequently Asked Questions

1. What is B.Tech in Data Science and Engineering?

A. B.Tech in Data Science and Engineering is an undergraduate program that combines computer science, mathematics, and data analysis to prepare students for careers in data-driven industries.

2. What are the eligibility criteria for this program?

A. Eligibility criteria may vary by institution, but generally, candidates should have completed 10+2 with a background in science and mathematics.

3. What subjects are covered in this program?

A. Subjects typically include data analytics, machine learning, statistics, programming, data engineering, and domain-specific applications.

4. What are the career prospects for B.Tech Data Science graduates?

A. Graduates can pursue careers as data scientists, machine learning engineers, data analysts, big data engineers, and more, in various industries like finance, healthcare, and technology.

5. Is there a high demand for data science professionals in India?

A. Yes, India has a growing demand for data science professionals as businesses increasingly rely on data-driven decision-making.

6. What is the difference between data science and data engineering?

A. Data scientists focus on analyzing and interpreting data, while data engineers work on the collection, storage, and processing of data.

7. Can I specialize in a specific field within data science during my B.Tech program?

A. Some institutions offer specialization options in areas like artificial intelligence, machine learning, and big data analytics.

8. Is programming knowledge essential for B.Tech in Data Science and Engineering?

A. Yes, proficiency in programming languages like Python and R is crucial for data science tasks.

9. Are there internships or industry projects in this program?

A. Many programs include internships or projects to provide practical experience and real-world exposure.

10. What are the benefits of pursuing a B.Tech in Data Science and Engineering?

A. The benefits include a wide range of career opportunities, competitive salaries, intellectual challenges, and the ability to make a meaningful impact in data-driven industries.

11. How can I stay updated with the latest developments in data science and engineering?

A- Online courses, workshops, and professional associations are excellent resources to stay updated and enhance your skills in this field.

12. Can I pursue higher education, such as a master's or Ph.D., after completing B.Tech in Data Science and Engineering?

A. Yes, many students choose to pursue postgraduate degrees in data science, machine learning, or related fields to further specialize and enhance their career prospects.

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