B.Tech. in Computer Science & Engineering (Big Data Analytics) 

at JG University, Navrangpura

Both are popular job roles, as per the World Economic Forum report. The key differences between the two are as follows:

• The Data Analyst collects relevant data from various sources to filter and analyze it. The data scientist gathers sizable amounts of structured and unstructured data while performing data mining.
• Education: To become a data analyst, you can apply with a Bachelor's degree in math, Statistics or a related field. Data scientists typically pursue a master's Diploma or degree in data Science.
• Salary: The salary of a data scientist is usually higher than that of a data analyst. According to global estimates, a data scientist can earn around $100,000 per year, whereas a data analyst can earn around $70,000.

The BTech CSE syllabus is incomplete without regular lab classes and internship programs because of the importance of programming, software development, and AI and ML knowledge required in the CSE field, which cannot be taught only through theory classes.

Premier institutes often collaborate with leading industrial partners to provide their students with the best internship exposure and training opportunities, which may act as an entry point to excellent earning opportunities later.

Based on your skills and relevant experience in the industry, as an MSc IT postgraduate, you can become a Machine Learning Architect, IoT Solutions Architect, Cloud Engineer, Data Scientist, or Big Data Engineer. These are some of the top-paying job profiles nowadays in the IT sector, offering an average salary package of INR 15 LPA in India.

Here are some commonly used books in BTech CSE course are as follows:

• Introduction to Algorithms.
• Programming: Principles and Practice Using C+.
• Data Structures and Algorithms in Python.
• Database System Concepts.

Hope it cleared your doubt !

The BTech in Computer Science and Engineering course offers a pool of electives for you to opt from 3^rd semester onwards where you get the chance to pick a subject that interests you more and is easy to understand for you.
You can choose a subject according to the career path and work industry that you would like to enter into in the coming future, where you see yourself earning well and enjoying your job. There are a variety of elective choices like Linear Algebra and Applications, Software Engineering, Computer Graphics, Advanced Data Structures and Algorithms, Digital Signal Processing, etc.