What is BTech in Data Science?
B.Tech in Data Science is a 4-year undergraduate program that includes computer science, statistics, and domain-specific knowledge to extract meaningful insights from data. This interdisciplinary course equips students with the skills required to analyze large datasets, develop predictive models, and make data-driven decisions. Students learn skills and techniques like technique analysis, data extraction, and related topics in the modern B.Tech Data Science course.
This curriculum cannot be pursued through distance learning because the Data Science B.Tech Course is a recently added course that is only offered by a small number of colleges. Some of the subjects covered in the B.Tech Data Science course are Mechanical Workshop, Discrete Structures, Theory of Computation, Physics, Engineering.
B.Tech in Data Science minimum eligibility requires a cumulative score of 70% on the 10+2 PCM exam from an accredited university is the minimum eligibility requirement for this program. In mathematics, a minimum score of 50% is frequently required. A few universities base their admissions decisions on tests like the NPAT, SUAT, and others.
B.Tech in Data Science Course Highlights
Why Choose BTech Data Science?
Since only a few colleges offer this relatively new and in-demand course, the market for graduate students pursuing a B.Tech in data science is expanding. As a result, this course offers several advantages. Following are some of the reasons why you must choose BTech in Data Science -
- Data-Driven Economy: Data is central to decision-making in industries like healthcare, finance, retail, and entertainment.
- High Demand for Skills: Organizations are seeking professionals who can analyze and interpret complex data to gain a competitive edge.
- Comprehensive Curriculum: The program integrates engineering principles with computer science, statistics, and machine learning.
- Practical Knowledge: Students learn to design data-driven models, predictive analytics, and intelligent systems.
- Diverse Career Options: Graduates can work in data analysis, AI, machine learning, business intelligence, and more.
- Opportunities Across Sectors: Career paths are available in tech companies, research organizations, startups, and government agencies.
- Future-Ready Skillset: Equips students with in-demand skills such as programming, data visualization, and algorithm development.
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B.Tech in Data Science Eligibility Criteria
To pursue B.Tech in Data Science and Engineering, candidates must follow the below given points -
- Educational Qualification: Candidates should have completed 10+2 or equivalent from a recognized board with Physics, Chemistry, and Mathematics as core subjects.
- Minimum Marks: Most institutes require a minimum aggregate of 50–60% in the qualifying examination. Some premier institutions may have higher cutoffs.
- Entrance Exams: Admission is usually based on entrance exams such as JEE Main, JEE Advanced, or state-level engineering entrance tests like MHT CET, WBJEE, or university-specific exams like VITEEE or SRMJEEE.
B.Tech in Data Science Admission Process
Admission to B.Tech in Data Science and Engineering programs typically involves:
- Entrance Exam Registration: Candidates must register for the relevant entrance exam(s) like JEE Main, JEE Advanced, or state/university-level exams.
- Appear for the Exam: Applicants need to take the entrance test on the scheduled date. Performance in the exam usually determines the chances of admission.
- Counselling and Choice Filling: Qualified candidates are invited for counseling sessions where they can select preferred colleges and branches based on their rank and availability of seats.
- Document Verification: During counseling, students must present required documents for verification, including mark sheets, certificates, ID proof, and entrance exam scores.
- Seat Allotment and Admission: Based on merit, seat availability, and preferences, students are allotted seats. They must confirm their admission by paying the fees within the stipulated deadline.
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B.Tech in Data Science Syllabus Overview
The B.Tech in Data Science and Engineering curriculum is structured to provide a strong foundation in computer science, statistics, and data analysis. Here's a semester-wise breakdown:
Also read about BTech Syllabus here.
B.Tech in Data Science Program elective subjects include:
- Fundamentals of Data Science
- Data Visualization and Interpretation
- Machine Learning and Deep Learning
- Computational Linguistics & Natural Language Processing
- Generative Artificial Intelligence
Top Colleges Offering B.Tech in Data Science and Engineering
Here's a list of prominent institutions offering this program, along with their NIRF rankings and approximate fees:
B.Tech in Data Science Government Colleges -
B.Tech in Data Science Private Colleges -
Career Opportunities After BTech in Data Science
BTech Data science graduates possess technical and analytical abilities that are highly valued in a variety of industries. Among the career options are:
- Data Scientist: Data scientists create models to decipher and provide insights from complex data.
- Data Analysts: They analyze data to help make decisions about how to run a business.
- Machine Learning Engineer: Create AI algorithms and systems for predictive models as a machine learning engineer.
- Business intelligence analyst: Produce reports and dashboards for corporate plans.
- Big Data Engineer: Manage extensive databases and data processing systems.
- AI Research Scientist: Work on cutting-edge AI research and development as an AI research scientist.
- Data Architect: Create the blueprint for data management systems as a data architect.
These positions are open in industries like IT consulting, e-commerce, fintech, healthcare, and telecommunications.
Average Salary After BTech Data Science
Following are the BTech Data Science salaries based on job roles -
BTech Data Science Top recruiters include Amazon, Google, Flipkart, Accenture, TCS, Deloitte, and Infosys.
Read more about BTech Salary
Skills Required to Excel in Data Science
Success in Data Science requires a mix of technical and soft skills:
- Programming Knowledge – Python, R, SQL, Java
- Mathematics & Statistics – Strong understanding of data modeling
- Machine Learning & AI – Knowledge of algorithms and model training
- Data Visualization – Using tools like Tableau, Power BI
- Big Data Technologies – Hadoop, Spark, NoSQL
- Problem-Solving & Critical Thinking
- Communication Skills – For conveying insights to non-technical stakeholders
BTech in Data Science vs BSc in Data Science
Let's see how BSc in Data Science is different from BTech in Data Science in the following table -
Future Scope of BTech Data Science in India
The scope of Data Science in India is rapidly expanding due to:
- Digital transformation across sectors
- Government and private investment in AI & Big Data
- Increased demand for automated decision-making systems
- Startups and enterprises seeking data-driven growth
Emerging areas include Healthcare AI, Fintech Analytics, Smart Cities, IoT Data Analysis, and GenAI. By 2030, data science-related roles are expected to dominate the tech job market, making this a future-proof degree.
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