B.Tech in Computer Science Data Analytics
The B.Tech in Computer Science Engineering specialization with Data Analytics covers data science as an interdisciplinary, problem-solving subject. In this course students are taught to apply scientific techniques to real-world challenges. The course curriculum combines data inference, algorithm development, and technology to analytically address complex issues. It is divided into eight semesters. For more details, please inquire further.
B.Tech in CSE Data Analytics 2026: Notification, Fees, Eligibility Criteria, Application Form, Syllabus & Top Colleges
Overview
B.Tech in Computer Science & Engineering (Data Analytics) is a four-year undergraduate program that focuses on combining traditional computer science with data-driven technologies. The course trains students in data collection, processing, analysis, and interpretation using modern tools, programming languages, and machine learning models.
With the world generating massive amounts of data every second, industries such as finance, healthcare, e-commerce, IT, and government agencies need professionals who can extract meaningful insights and support data-driven decision-making.
Top Colleges/Universities in India Offering B.Tech Data Analytics
With the rising demand for data-driven decision making, B.Tech in Computer Science & Engineering with Data Analytics course has emerged as a highly sought-after program in India. Many reputed institutions, including IITs, NITs, and leading private universities, now offer this specialization. These colleges focus on building strong foundations in computer science, big data technologies, machine learning, and statistical analysis, while providing practical exposure through projects, internships, and industry collaborations. Choosing the right institution plays a crucial role in shaping a student’s career in the rapidly growing field of data analytics and data science.
- IITs (some offer electives in Data Science & Analytics).
- NITs
- Vellore Institute of Technology (VIT)
- SRM Institute of Science and Technology
- Amity University
- Chandigarh University
- Manipal Institute of Technology
- Jain University (Bangalore)
- Lovely Professional University (LPU)
- PES University (Bangalore)
Admission Process
Getting admission into B.Tech in Computer Science & Engineering (Data Analytics) usually involves multiple steps depending on the type of college (IIT/NIT, state universities, or private universities). Below is the complete step-by-step process:
1. Check Eligibility
- Educational Qualification:
- Must have passed 10+2 (Class XII) or equivalent from a recognized board.
- Compulsory subjects: Physics, Chemistry, Mathematics (some universities also prefer Computer Science).
- Minimum Marks Requirement:
- 50–60% aggregate marks in PCM (varies by college).
- Relaxation for reserved categories as per government rules.
2. Choose Admission Route
(a) National-Level Entrance Exams
- JEE Main / JEE Advanced:
- Required for admission to IITs, NITs, IIITs, and some top private universities.
- Candidates qualify JEE Main to appear in JEE Advanced for IIT admissions.
(b) State-Level Entrance Exams
- Exams like WBJEE, MHT-CET, KCET, AP EAMCET, TS EAMCET are gateways to state engineering colleges.
(c) University-Specific Entrance Exams
- Some private and deemed universities conduct their own tests:
- BITSAT – Birla Institute of Technology and Science
- VITEEE – Vellore Institute of Technology
- SRMJEEE – SRM Institute of Science & Technology
- KIITEE – Kalinga Institute of Industrial Technology
(d) Direct Admission / Management Quota
- Many private universities offer direct admission based on Class XII marks or through a management quota.
Career Opportunities After B.Tech in Computer Science Data Analytics
Graduates of B.Tech CSE (Data Analytics) have diverse career options across IT, business, banking, healthcare, retail, consulting, and government sectors. They can work as Data Analysts, Business Analysts, Data Engineers, Machine Learning Engineers, and Data Scientists, helping organizations make informed decisions through data-driven insights. With the rapid growth of big data and AI, demand for skilled professionals in this field continues to rise both in India and globally.
Job Roles
- Data Analyst
- Business Analyst
- Data Engineer
- Machine Learning Engineer
- Big Data Engineer
- Business Intelligence Developer
- Data Scientist
- Quantitative Analyst
- AI & Data Analytics Consultant
Industries Hiring
- IT & Software Companies (TCS, Infosys, Wipro, Accenture)
- E-commerce (Amazon, Flipkart)
- Finance & Banking (HDFC, ICICI, Goldman Sachs, AXIS, and Others)
- Consulting Firms (PwC, Deloitte, KPMG, EY)
- Healthcare & Pharma
- Government Data & Policy Departments
- Startups in Data Analytics and Data-driven services
Frequently Asked Questions
Q. What is the difference between B.Tech CSE (Data Analytics) and B.Tech in Data Science?
Ans. Know the difference.
- B.Tech CSE (Data Analytics) gives strong core computer science foundation with a focus on analytics.
- Data Science focuses more on statistics, AI, and ML directly with less core CS.
Q. Do I need strong math skills for Data Analytics?
Ans. Yes, concepts in statistics, probability, and linear algebra are essential for predictive modeling.
Q. Is Data Analytics a good career option?
Ans. Absolutely. It’s one of the most in-demand skills globally, and every sector (from healthcare to finance) requires analytics professionals.
Q. Can I become a Data Scientist after this degree?
Ans. Yes, with additional learning in Data Analytics and certifications, you can advance to Data Scientist roles.