Andhra University Visakhapatnam M.Tech Artificial Intelligence and Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Ans. Candidates can qualify GATE in Computer Science and Information Technology (CS) or in the Data Science and Artificial Intelligence (DA) paper. Both papers are typically accepted for M.Tech AI and ML admissions at engineering colleges participating in AP PGECET counselling. Candidates should verify the acceptable GATE papers on the official APSCHE counselling portal before registering.

Ans. The programme covers core subjects such as machine learning, deep learning, natural language processing, computer vision, data analytics, and neural networks. Students also study research methodology and complete a dissertation in the final year on an AI or ML topic. The curriculum is designed to prepare graduates for both industry roles and doctoral research in artificial intelligence.

Ans. Graduates can pursue roles such as machine learning engineer, data scientist, AI research associate, natural language processing engineer, or computer vision developer in IT companies, research labs, or public sector organisations. Faculty positions at engineering colleges are also open to those who qualify GATE at the postgraduate level or complete UGC NET. Government research bodies such as DRDO and ISRO also recruit M.Tech AI graduates.

Ans. Yes, M.Tech in Artificial Intelligence and Machine Learning is a relatively new specialisation at Andhra University College of Engineering, introduced to meet the growing demand for AI talent in the industry. The core infrastructure and faculty expertise are shared with the established Computer Science and Engineering department, giving students access to the department’s existing research and computational resources.

Ans. Andhra University College of Engineering is one of the most sought-after institutions in the AP PGECET counselling pool. Computer Science and Technology seats close at very low AP PGECET ranks, typically around rank 100 in the general category. The AI and ML specialisation, being new and in high demand, is expected to close at similarly competitive ranks. Candidates are advised to secure a rank below 200 to improve chances of getting a seat.