Nigama Engineering College B.Tech CSE (AI & ML) FAQs
Ques. What is the eligibility criteria for B.Tech CSE (AI & ML) at Nigama Engineering College?
Ans. Candidates must have completed 10+2 or equivalent qualification with a minimum of 45% marks. A valid TS-EAMCET score is mandatory for admission. The program is open to all students who meet these criteria and qualify in the entrance examination.
Ques. What is the total fee for the B.Tech CSE (AI & ML) program?
Ans. The total tuition fee for the 4-year B.Tech CSE (AI & ML) program is 2.01 Lakhs INR. This includes tuition fees of 1.88 Lakhs, admission fees of 2,000 INR, caution fees of 1,000 INR, and miscellaneous fees of 10,000 INR. Students need to pay 52,500 INR in the first year.
Ques. When is the admission process for B.Tech CSE (AI & ML) 2026?
Ans. TS-EAMCET 2026 registration opened on February 19, 2026, with the last date for registration on April 4, 2026. The exam is scheduled for April 29 to May 5, 2026. Counselling and seat allotment will follow after results are declared in May 2026.
Ques. What are the placement opportunities for B.Tech CSE (AI & ML) graduates?
Ans. B.Tech CSE (AI & ML) graduates from Nigama Engineering College have strong placement opportunities in AI companies, tech firms, and multinational corporations. The average package ranges from 3-5 LPA, with the highest package at 5 LPA. The college's placement cell provides training and facilitates interactions with leading companies.
Ques. What skills will I learn in B.Tech CSE (AI & ML)?
Ans. The program covers comprehensive skills in artificial intelligence, machine learning, deep learning, neural networks, natural language processing, computer vision, and data science. Students gain hands-on experience with industry-standard tools and frameworks like Python, TensorFlow, PyTorch, and scikit-learn.
Ques. Is B.Tech CSE (AI & ML) a good career choice?
Ans. Yes, B.Tech CSE (AI & ML) is an excellent career choice as AI and machine learning are among the fastest-growing sectors in technology. The program prepares students for roles in AI development, data science, and machine learning engineering. Graduates have strong career prospects in various industries including healthcare, finance, e-commerce, and autonomous systems.
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