B.Tech. in Computer Science & Engineering (Artificial Intelligence and Machine Learning) 

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.

Yes, many universities offer electives that allow students to specialize in specific areas of AI, such as:

• Big Data: Tools and Techniques
• Cloud Computing
• Computer Graphics
• Human-Computer Interaction
• Big Data Analytics
• Cybersecurity
• Data Analytics
• AI, Neuroscience, and Natural Intelligence

The BTech in AI syllabus is a perfect mix of core and elective subjects. The core subjects are compulsory for you to study in every semester as they are meant to give you a strong base in the field of AI. Coming to the elective choices, there are a lot of interesting options and you can choose the elective subjects as per your interests, something you resonate more with and easy to understand for you.

So, the elective subjects do give you that liberty of customizing your BTech in Artificial Intelligence syllabus in some way or the other.