FET Blogs
FET Blogs
10 March 2026
Do you enjoy working with numbers, logic and data? Are you curious to study how apps work? Do you want to know how technology solves everyday problems? If yes, BTech Computer Science Engineering with Data Science can serve as the right career option for you.
BTech CSE with Data Science gives you the opportunity to gain computing knowledge along with analytics, artificial intelligence and machine learning. Studying different BTech CSE Data Science subjects helps you understand how logic, programming and real-world problem-solving are connected in practical ways.
The programme prepares you not just to write code, but also to understand data patterns, build intelligent systems, and work with large datasets. The scope of BTech Data Science is quite extensive and opens doors to many significant career opportunities for you.
This blog discusses BTech CSE Data Science course and sheds light on the career opportunities associated with the field. However, you should first start by understanding what this programme is all about.
BTech CSE in Data Science is a four-year undergraduate programme. If you are someone who enjoys analysing patterns, interpreting results and solving practical problems, this course serves as the right option for your undergraduate studies.
During the programme, you learn key data science techniques, including data visualisation, machine learning, and programming. As you move through the course, you also build cross-disciplinary strengths. You develop skills in statistics, mathematical reasoning, and visualisation. This combination helps you think analytically and apply concepts carefully, preparing you to handle data-driven challenges.
Before you explore the other sections, such as the syllabus or scope of BTech Data Science, you should take a quick glance at the basic course details of the programme. The table below highlights the same.
| Full Course Name | BTech 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 the remaining single course from any recognised Board/ University + Securing a minimum of 50% aggregate marks in Class 12 |
| Entrance Exams | Admission is often based on national-level (JEE Main), state-level, or university-specific entrance exams |
| Popular Job Roles | Data Scientist, Machine Learning Engineer, Data Analyst, Big Data Engineer, and Business Intelligence Analyst |
| Average Salary for Entry-Level Jobs | INR 5-10 LPA |
If you are planning to pursue BTech Computer Science Engineering in Data Science, understanding its syllabus is a crucial step. The BTech CSE Data Science syllabus spans across four years (eight semesters).
The table below provides the syllabus along with the BTech CSE Data Science subjects.
Semester-wise BTech CSE Data Science Syllabus
| Syllabus | Semester | BTech CSE Data Science Subjects |
| Year I | I Semester | Engineering Physics, Fundamentals of Electrical and Electronics Engineering, Communicative English, Mind Management and Human Values – 1, Problem Solving Techniques, Applied Chemistry, Calculus and Matrix Algebra, Project Centric Learning |
| II Semester | Data Structures, Probability and Vector Space, Project 1, Workshop Practices, Object Oriented Programming, Digital Logic Design, Biology for Engineers, Python Programming, Mind Management and Human Values – 2 | |
| Year II | III Semester | Economics for Engineers, Operating System, Computer Organisation and Architecture, Foundations of Mathematics –I+, Discrete Mathematics and Graph Theory, Design and Analysis of Algorithms, Indian Constitution, Project Centric Learning |
| IV Semester | Inferential Statistics, Introduction to Data Science, Python for Data Science, Data Preprocessing and Feature Engineering, Open Elective I, Database Management Systems, Foundations of Mathematics –II, Project 2, Internship-1 | |
| Year III | V Semester | Data Communication and Networks, Software Engineering, Research Methodology, Department Specific Elective I, Machine Learning, Open Elective II, NoSQL Database using MongoDB, Project Centric Learning |
| VI Semester | Cloud Computing and Virtualisation, Big Data Analytics, Department Specific Elective II, Department Specific Elective III, Open Elective III, Environmental Studies, Project 3, Internship-2 | |
| Year IV | VII Semester | Artificial Neural Networks and Deep Learning, Spark for Data Science, Department Specific Elective IV, Advanced Deep Learning, Department Specific Elective V, Open Elective IV, Project 4 |
| VIII Semester | Department Specific Elective VI, Dimensionality Reduction and Model Validation Techniques, Pattern Recognition, Intellectual Property Rights, Internship-3, Research* |
BTech Data Science has a wide career scope. You have the flexibility to choose from multiple professional paths based on your interests and strengths.
Also read “BTech Courses List in India: Branches, Best Courses & Career Options”.
If you are curious to know about the job roles in a career after BTech Data Science, you should take a look at the table below. It shares some of the most popular career options you can pursue after completing the programme.
| Job Role | What You Do |
| Data Science Developer | Build data-driven applications and models using machine learning and programming tools to solve complex business problems. |
| Software Engineer | Design, develop, and maintain software systems that support data processing, analytics, and scalable applications. |
| Data Analyst | Collect, clean, and interpret data to identify trends and insights that help organisations make informed decisions. |
| Big Data Engineer | Develop and manage large-scale data infrastructure, ensuring efficient storage, processing, and analysis of massive datasets. |
| Data Science Consultant | Advise organisations on using data science solutions to improve operations, strategy, and decision-making. |
| Data Architect | Design and structure data systems, databases, and frameworks to ensure data is organised, accessible, and secure. |
| Business Intelligence Analyst | Transform raw data into dashboards and reports to support business planning and performance tracking. |
| Statistician | Apply statistical methods to analyse data, interpret results, and support research, forecasting, and policy decisions. |
| Quantitative Analyst | Use mathematical and statistical models, mainly in finance and investment sectors. |
While salaries depend on your skills, experience, company size and location, the earning range in this field is competitive. You should also note that the salary as a BTech Data Science graduate grows steadily as you gain expertise. The table below gives you a general idea of salary progression in India.
| Experience Level | BTech Data Science Salary Range (Per Annum) |
| Entry-level (0–2 years) | INR 5–10 lakhs per annum |
| Mid-level (3–5 years) | INR 10–18 lakhs per annum |
| Senior-level (6+ years) | INR 18–30+ lakhs per annum |
In this blog, you explored what BTech CSE with Data Science involves, understood the key subjects covered in the programme, and examined the career roles and salary growth you can expect in this field. If you are planning to pursue this path, you must choose a university that balances strong academic foundations with practical exposure. Programmes offered atJAIN (Deemed-to-be University), Faculty of Engineering & Technology (JU-FET), are designed to help you build both technical depth and professional readiness. Visit the official website today to know more about the programme.
A1: BTech in Data Science is a specialised, undergraduate engineering programme that trains you to work with large datasets, analyse patterns, and build intelligent systems. You learn programming, statistics, machine learning and data handling techniques that help you solve practical problems across industries.
A2: The better option depends on your interest. B.Tech. CSE gives you broader exposure to core Computer Science areas, while B.Tech. Data Science focuses more on analytics, machine learning and data-driven technologies.
A3: Eligibility requires passing the 10+2 examination with Physics and Mathematics as mandatory subjects, with a minimum aggregate of 50% in Class 12. Admission is often based on national-level (JEE Main), state-level, or university-specific entrance exams.
A4: Data Science subjects in BTech include Mathematics, Statistics, Programming and Machine Learning. Hence, it can feel challenging. However, if you build your basics step by step and practise consistently, the course becomes manageable.
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