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. Sectors such as IT, finance, healthcare, e-commerce, banking, and government organisations are actively hiring skilled data experts to extract meaningful insights from large volumes of data. With the rapid growth of artificial intelligence, machine learning, and digital transformation, the demand for data science professionals continues to rise, offering strong career growth, competitive salaries, and long-term job stability.
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: Builds data-driven applications and models using machine learning and programming tools to solve complex business problems.
- Software Engineer: Designs, develops, and maintains software systems that support data processing, analytics, and scalable applications.
- Data Analyst: Collects, cleans, and interprets data to identify trends and insights that help organisations make informed decisions.
- Big Data Engineer: Develops and manages large-scale data infrastructure, ensuring efficient storage, processing, and analysis of massive datasets.
- Data Science Consultant: Advises organisations on using data science solutions to improve operations, strategy, and decision-making.
- Data Architect: Designs and structures data systems, databases, and frameworks to ensure data is organised, accessible, and secure.
- Business Intelligence Analyst: Transforms raw data into dashboards and reports to support business planning and performance tracking.
- Statistician: Applies statistical methods to analyse data, interpret results, and support research, forecasting, and policy decisions.
- Quantitative Analyst: Uses mathematical and statistical models, mainly in finance and investment sectors.
- Risk Analyst: Analyses data to assess and mitigate financial or operational risks
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!
Aso Read: Data Science and Artificial Intelligence: Revolutionising the Digital Age
FAQs
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.
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