PG in Data Science, AI-ML & Deep Learning 

at JG University, Navrangpura

Graduates with a BTech degree in CSE are in high demand across a plethora of work fields, as everything is ruled by computer technology these days and every industry needs strong software applications, network security, and database management systems for effective working. A few top industries recruiting BTech in CSE graduates are given here:

• IT & Software
• Product Development
• E-Commerce and Digital Commerce
• Cloud Computing & AI
• Data Science & Analytics
• Banking and FinTech
• Automotive
• Healthcare

Useful Link: BTech CSE Career Scope

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.

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.

The core subjects covered in an MSc in IT program are: Computer Simulation and Modelling, Advanced Computer Networks, Image Processing, and Advanced Database Systems in the 1st year. For the 2nd year, Information Security, Artificial Intelligence, Distributed Computing, and Computer Vision subjects are included in the curriculum.

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.

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

MSc in IT and MCA are courses in the field of Science and Technology. They are different in some aspects which are mentioned in the table below:

Note: The information is taken from various external sites and may vary.