PG in International Business Analytics 

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

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 BTech in AI curriculum typically covers core subjects like:

• Introduction to Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Structures and Algorithms
• Probability and Statistics
• Computer Vision
• Natural Language Processing
• Robotics
• Software Engineering
• Mathematics (Calculus, Linear Algebra)

While it is not mandatory to have extra certifications to get a high-paying job after BTech CSE, additional certificates for skill-based learning definitely gives you an edge over other potential candidates, as the recruiter looks at you as an asset for the company. In the digitalized world that we're living in today with advancements taking place every day, it important to upskill yourself to stay relevant in the job market and enjoy health salary packages.

Skill-based certificate courses in Blockchain Technology, AI & ML, IoT, and Cloud Computing Technology, can prove to be an excellent move on your part to climb the ladder of career success in field.

You can look forward to some exciting work opportunities across various work sectors with top recruiters offering healthy salaries, given you have the required skills and technical proficiency. Here are a few popular recruiters for BTech IT graduates in India:

• Google
• Microsoft
• Accenture
• IBM Global Services
• Deloitte
• Adobe
• Oracle
• Tech Mahindra
• TCS
• Infosys

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.

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 scope of an MBA in Business Analytics is vast and growing with strong demand in high salaries and diverse career opportunities across industries. It is an excellent decision for those who want to enhance their skills in business leadership with a blend of analytical skills to secure a future ready, impactful career.

The career growth in the field of Business Analytics after MBA is very promising. As you gain more experience, you can grow into roles like:

• Senior Analyst / Lead Analyst
• Analytics Manager / Product Manager
• Strategy Consultant
• Head of Business Intelligence / Data Science
• Chief Data Officer (CDO)

With the rise of AI, Big Data, and Machine Learning, this field is only expected to grow more in the future. You can even switch industries easily—finance, healthcare, IT, retail or media because data is everywhere!