RMKEC B.Tech AI & DS FAQs
Ques. Why is B.Tech Artificial Intelligence and Data Science becoming so popular among engineering students?
Ans. AI and Data Science is one of the fastest-growing fields with employment projected to increase by 31% by 2030. The field offers diverse career opportunities across finance, healthcare, retail, technology, and other sectors. Graduates command high salaries and have excellent job security. The interdisciplinary nature of the course combines computer science, mathematics, and domain expertise, making it highly versatile. Additionally, AI and Data Science skills are in critical demand globally, with companies actively recruiting from top engineering colleges.
Ques. What career opportunities are available after completing this B.Tech?
Ans. Graduates have diverse career opportunities including Data Scientist, Machine Learning Engineer, AI Research Engineer, Data Analyst, Business Analyst, AI Solutions Architect, Analytics Manager, and AI Product Manager. The Cognizant partnership provides direct placement opportunities with leading IT companies. Recent placements show an average package of 4-6.75 LPA with the highest reaching 8.1 LPA. Many graduates also pursue higher education in specialized fields like MS in Data Science, AI, or MBA in Analytics from top universities globally.
Ques. How is the placement scenario for this AI and Data Science program?
Ans. The placement statistics are impressive. In the 2022-2026 batch, 39 students were placed out of 60 (93%+ placement rate). The 2021-2025 batch had 38 placements with strong companies like Cognizant, LTI Mindtree, Infosys, KPIT Technologies, Tech Mahindra, and Accenture. The Cognizant partnership significantly boosts placement opportunities, and the college's strong industry connections ensure consistent recruitment. The highest package reached 8.1 LPA, demonstrating excellent career prospects for AI and Data Science graduates.
Ques. What makes this Cognizant-powered AI and Data Science program unique?
Ans. The program has several unique features: the entire curriculum is designed by Cognizant professionals and domain experts; 40% of the curriculum is provided by Cognizant; the program includes six honours degrees (Advanced Analytics, Computational Intelligence, AI and Cloud Computing, Intelligent Healthcare, Quantum Computing, Generative AI) and six minor degrees; students have access to state-of-the-art AI and ML research centers recognized by Anna University; faculty are trained by industry experts from Cognizant, Wipro, Virtusa, and TCS; and students benefit from direct industry mentorship and real-time project exposure through Cognizant collaboration.
Ques. What is the admission process, and when should I start preparing?
Ans. Admission is through TNEA (Tamil Nadu Engineering Admissions). You need to pass 12th standard with Mathematics, Physics, and Chemistry, and meet the minimum marks requirement (40% for SC/ST/MBC/DNC, 45% for OC). Register on the TNEA portal in May 2026, appear for the exam in May 2026, and participate in counselling from July to September 2026. Start preparing for TNEA now by focusing on 12th standard subjects, particularly mathematics and physics, and solving previous years' question papers.
Ques. Is this course only for students interested in pure AI and ML, or can I pursue data analytics or business intelligence?
Ans. Absolutely! While the course emphasizes AI and Machine Learning, it provides a strong foundation in data analytics, statistics, and business intelligence. Graduates can pursue careers in data analytics, business intelligence, data engineering, or any data-driven role. The program includes six honours degrees and six minor degrees, allowing you to specialize in areas like Advanced Analytics, Intelligent Healthcare, or AI and Cloud Computing. The versatility of the curriculum ensures you can pursue diverse career paths based on your interests and strengths.
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