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B.Tech. in Data Science

B.Tech. in Data Science: Syllabus, Eligibility, Career Scope

March 13, 2025

India is a fairly big market for data science professionals. Even though it’s a relatively new field, companies are increasingly relying on data analysis to make better decisions. This has led to the creation of various career opportunities for data professionals across several industries.

Hence, today’s blog will focus on the B.Tech. in Data Science programme. The write-up covers an overview of the programme, eligibility, syllabus, skills, the top university, fee structure, admission process, and much more.

What is a B.Tech. in Data Science Programme?

B.Tech. in Data Science is an undergraduate programme designed for students interested in extracting insights and discovering vital facts from large data sets. Students learn data science techniques such as data visualisation, machine learning, programming, and more. After completing this course, students gain cross-disciplinary skills in statistics, mathematical reasoning, visualisation, and knowledge discovery. This course is highly valued in sectors such as technology, healthcare, finance, logistics, telecommunication, and retail.

K.R. Mangalam University: The Top Universities for Data Science

K.R. Mangalam University, Gurugram, is a premier institution for higher studies. It offers various undergraduate and postgraduate courses, including a B.Tech. in Data Science. This four-year undergraduate degree has a carefully designed curriculum that prepares students to tackle the real-world issues of today’s data-driven world.

Data Science Course Details

Full Course Name  B.Tech. CSE (Data Science)
Course Type  Undergraduate
Course Duration  4 Years
Admission Eligibility Criteria  10+2 examination with Physics and Mathematics as mandatory subjects + Selecting Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship for remaining single course from any recognised Board/ University + Securing minimum of 50% aggregate marks
Programme Fee Per Year ₹2,50,000
Average Salary 4-7 LPA
Career Options  Data Science Developer, Data Analyst, Computer Vision Engineer, Machine Learning Engineer, Research Scientist, Robotics Programmer

 

Admission Process

For admission into B.Tech. in Data Science programme at K.R. Mangalam University, follow these steps.

  • Visit the official KRMU website.
  • Submit the Application fee.
  • Take the K.R. Mangalam University Entrance Exam (KREE).
  • Appear for faculty-led interview.
  • Receive an offer letter after a successful interaction.

Data Science Syllabus

Year 01 

Semester I  Semester II 
Engineering Calculus Linear Algebra and Ordinary Differential Equations
Clean Coding with Python Data Visualisation using Python
Engineering Physics / Engineering Chemistry Engineering Chemistry / Engineering Physics
Engineering Drawing & Workshop Lab Basics of Electrical & Electronics Engineering
Clean Coding with Python Lab Data Visualisation using Python Lab
Engineering Physics Lab / Engineering Chemistry Lab Engineering Chemistry Lab/Engineering Physics Lab
Data Analysis with Tableau & KNIME Basics of Electrical & Electronics Engineering Lab
Value-Added Course Open Elective
Value-Added Course
Minor Project
Summer Internship

 

Year 02

Semester III  Semester IV 
Discrete Mathematics Probability & Statistics
Data Structures Analysis and Design of Algorithms
Java Programming Database Management Systems
R Programming for Data Science and Data Analytics Lab Introduction to Data Science
Data Structures Lab Analysis and Design of Algorithms Lab
Java Programming Lab Database Management Systems Lab
Life Skills for Professionals-I Life Skills for Professionals II
Value-Added Course Data Science Lab
Open Elective Open Elective
Evaluation of Summer Internship Minor Project
Summer Internship

 

Year 03

Semester V  Semester VI 
Theory of Computation Computer Organisation & Architecture
Operating Systems Discipline Specific Elective-I
Machine Learning with Python Computer Networks
Operating System Lab Introduction of Neural Network and Deep Learning
Machine Learning with Python Lab Discipline-Specific Elective-I Lab
Life Skills for Professionals-III Computer Networks Lab
Software Engineering Introduction to Neural Networks & Deep Learning Lab
Value-Added Course Competitive Coding Lab
Evaluation of Summer Internship Minor Project

 

Year 04

Semester VII  Semester VIII 
Discipline Specific Elective-II Industrial Project/R&D Project/Start-up Project
Discipline Specific Elective-III
Discipline Specific Elective-II Lab
Discipline Specific Elective-III Lab
Minor Project-III  

 

Scope of B.Tech. Data Science

Companies are increasingly making data-driven decisions, which has increased the employability rate of B.Tech. Data Science graduates. A data science degree from a reputable college like K.R. Mangalam University will definitely bolster your chances of success. Some popular job positions are:

  • Data Science Developer
  • Software Engineer
  • Data Analyst
  • Big Data Engineer
  • Data Science Consultant
  • Data Architect
  • Business Intelligence Analyst
  • Statistician

Conclusion

Despite being a new field, data science has managed to transform the way companies make essential decisions. The market value of a B.Tech. in Data Science course has risen, making it globally relevant. However, it’s also important to pursue it from a credible university. The K.R. Mangalam University, Gurugram, is both an All India Council for Technical Education (AICTE) and University Grants Commission (UGC) approved institution. Join us!

Frequently Asked Questions

What is a B.Tech. in Data Science course?

A B.Tech. in Data Science is an undergraduate course that teaches students about obtaining data using algorithms, scientific methods, systems and more. They learn how to analyse and interpret data to make sound decisions.

Which is better, B.Tech. CSE or B.Tech. Data Science?

Both these courses hold immense value, and their suitability completely depends on individual interests and career goals. If you prefer software development and design, a B.Tech. CSE is perfect, but if you’re inclined towards statistical analysis and machine learning, a B.Tech. The Data Science programme is better.

What are the key subjects in B.Tech. Data Science?

B.Tech. Data Science has subjects such as linear algebra, data visualisation, engineering calculus, database management systems, software engineering, computer networks, and more.

What are the B.Tech. Data Science eligibility criteria at K.R. Mangalam University?

The eligibility criteria at K.R. Mangalam University for B.Tech. Data Science includes candidates passing the 10+2 examination with Physics and Mathematics as a mandatory course. For the remaining single course, they should have studied Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational Subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognised Board/ University. Candidates should also secure a minimum of 50% aggregate marks.

Aso Read: Data Science and Artificial Intelligence: Revolutionising the Digital Age

B.Tech. in Data Science

B.Tech. in Data Science: Syllabus, Eligibility, Career Scope

March 13, 2025

India is a fairly big market for data science professionals. Even though it’s a relatively new field, companies are increasingly relying on data analysis to make better decisions. This has led to the creation of various career opportunities for data professionals across several industries.

Hence, today’s blog will focus on the B.Tech. in Data Science programme. The write-up covers an overview of the programme, eligibility, syllabus, skills, the top university, fee structure, admission process, and much more.

What is a B.Tech. in Data Science Programme?

B.Tech. in Data Science is an undergraduate programme designed for students interested in extracting insights and discovering vital facts from large data sets. Students learn data science techniques such as data visualisation, machine learning, programming, and more. After completing this course, students gain cross-disciplinary skills in statistics, mathematical reasoning, visualisation, and knowledge discovery. This course is highly valued in sectors such as technology, healthcare, finance, logistics, telecommunication, and retail.

K.R. Mangalam University: The Top Universities for Data Science

K.R. Mangalam University, Gurugram, is a premier institution for higher studies. It offers various undergraduate and postgraduate courses, including a B.Tech. in Data Science. This four-year undergraduate degree has a carefully designed curriculum that prepares students to tackle the real-world issues of today’s data-driven world.

Data Science Course Details

Full Course Name  B.Tech. CSE (Data Science)
Course Type  Undergraduate
Course Duration  4 Years
Admission Eligibility Criteria  10+2 examination with Physics and Mathematics as mandatory subjects + Selecting Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship for remaining single course from any recognised Board/ University + Securing minimum of 50% aggregate marks
Programme Fee Per Year ₹2,50,000
Average Salary 4-7 LPA
Career Options  Data Science Developer, Data Analyst, Computer Vision Engineer, Machine Learning Engineer, Research Scientist, Robotics Programmer

 

Admission Process

For admission into B.Tech. in Data Science programme at K.R. Mangalam University, follow these steps.

  • Visit the official KRMU website.
  • Submit the Application fee.
  • Take the K.R. Mangalam University Entrance Exam (KREE).
  • Appear for faculty-led interview.
  • Receive an offer letter after a successful interaction.

Data Science Syllabus

Year 01 

Semester I  Semester II 
Engineering Calculus Linear Algebra and Ordinary Differential Equations
Clean Coding with Python Data Visualisation using Python
Engineering Physics / Engineering Chemistry Engineering Chemistry / Engineering Physics
Engineering Drawing & Workshop Lab Basics of Electrical & Electronics Engineering
Clean Coding with Python Lab Data Visualisation using Python Lab
Engineering Physics Lab / Engineering Chemistry Lab Engineering Chemistry Lab/Engineering Physics Lab
Data Analysis with Tableau & KNIME Basics of Electrical & Electronics Engineering Lab
Value-Added Course Open Elective
Value-Added Course
Minor Project
Summer Internship

 

Year 02

Semester III  Semester IV 
Discrete Mathematics Probability & Statistics
Data Structures Analysis and Design of Algorithms
Java Programming Database Management Systems
R Programming for Data Science and Data Analytics Lab Introduction to Data Science
Data Structures Lab Analysis and Design of Algorithms Lab
Java Programming Lab Database Management Systems Lab
Life Skills for Professionals-I Life Skills for Professionals II
Value-Added Course Data Science Lab
Open Elective Open Elective
Evaluation of Summer Internship Minor Project
Summer Internship

 

Year 03

Semester V  Semester VI 
Theory of Computation Computer Organisation & Architecture
Operating Systems Discipline Specific Elective-I
Machine Learning with Python Computer Networks
Operating System Lab Introduction of Neural Network and Deep Learning
Machine Learning with Python Lab Discipline-Specific Elective-I Lab
Life Skills for Professionals-III Computer Networks Lab
Software Engineering Introduction to Neural Networks & Deep Learning Lab
Value-Added Course Competitive Coding Lab
Evaluation of Summer Internship Minor Project

 

Year 04

Semester VII  Semester VIII 
Discipline Specific Elective-II Industrial Project/R&D Project/Start-up Project
Discipline Specific Elective-III
Discipline Specific Elective-II Lab
Discipline Specific Elective-III Lab
Minor Project-III  

 

Scope of B.Tech. Data Science

Companies are increasingly making data-driven decisions, which has increased the employability rate of B.Tech. Data Science graduates. A data science degree from a reputable college like K.R. Mangalam University will definitely bolster your chances of success. Some popular job positions are:

  • Data Science Developer
  • Software Engineer
  • Data Analyst
  • Big Data Engineer
  • Data Science Consultant
  • Data Architect
  • Business Intelligence Analyst
  • Statistician

Conclusion

Despite being a new field, data science has managed to transform the way companies make essential decisions. The market value of a B.Tech. in Data Science course has risen, making it globally relevant. However, it’s also important to pursue it from a credible university. The K.R. Mangalam University, Gurugram, is both an All India Council for Technical Education (AICTE) and University Grants Commission (UGC) approved institution. Join us!

Frequently Asked Questions

What is a B.Tech. in Data Science course?

A B.Tech. in Data Science is an undergraduate course that teaches students about obtaining data using algorithms, scientific methods, systems and more. They learn how to analyse and interpret data to make sound decisions.

Which is better, B.Tech. CSE or B.Tech. Data Science?

Both these courses hold immense value, and their suitability completely depends on individual interests and career goals. If you prefer software development and design, a B.Tech. CSE is perfect, but if you’re inclined towards statistical analysis and machine learning, a B.Tech. The Data Science programme is better.

What are the key subjects in B.Tech. Data Science?

B.Tech. Data Science has subjects such as linear algebra, data visualisation, engineering calculus, database management systems, software engineering, computer networks, and more.

What are the B.Tech. Data Science eligibility criteria at K.R. Mangalam University?

The eligibility criteria at K.R. Mangalam University for B.Tech. Data Science includes candidates passing the 10+2 examination with Physics and Mathematics as a mandatory course. For the remaining single course, they should have studied Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational Subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognised Board/ University. Candidates should also secure a minimum of 50% aggregate marks.

Aso Read: Data Science and Artificial Intelligence: Revolutionising the Digital Age

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