Poornima University Bachelor of Technology [B.Tech] Artificial Intelligence & Machine Learning with SAS: Fees 2026, Course Duration, Dates, Eligibility

Ans. The SAS partnership means that the B.Tech (AI & ML) curriculum at Poornima University is co-designed and supported by SAS, a global leader in analytics software used by Fortune 500 companies worldwide. Students get hands-on training on the SAS Viya platform, which is an industry-standard tool for AI, machine learning, and advanced analytics. As part of the program, students can earn globally recognized SAS certifications such as SAS Certified Specialist: Base Programming Using SAS 9.4 and SAS Certified AI and Machine Learning Professional. These certifications significantly enhance employability and are valued by top employers in the data science and AI space.

Ans. B.Tech (AI & ML) with SAS focuses specifically on building intelligent systems using machine learning algorithms, deep learning, neural networks, NLP, and computer vision, with the added advantage of SAS platform training and certification. B.Tech (AI & Data Science) has a broader data science orientation, covering data engineering, statistical analysis, big data, and business intelligence alongside AI fundamentals. The AI & ML program is more suitable for students who want to build AI models and work in research or product development roles, while AI & Data Science suits those interested in data-driven decision making and analytics. Both programs have the same annual fee of INR 1,95,000.

Ans. This is an important point to verify carefully. The B.Tech (AI & ML) with SAS program falls under the SAS (Special Academic Scheme) category at Poornima University. Several scholarship schemes at the university are explicitly marked as "Not Applicable for programs under SAS." This includes the standard merit scholarship based on Class 12 marks and the JEE-based scholarship in some cases. However, the Poornima University President's Scholarship (for defence personnel, martyrs' children, alumni, staff, etc.) is generally applicable. Students are strongly advised to confirm the exact scholarship applicability for this specific program directly with the university admissions office before enrolling.

Ans. Graduates of B.Tech (AI & ML) can pursue careers as Machine Learning Engineers, AI Researchers, Data Scientists, NLP Engineers, Computer Vision Engineers, Deep Learning Specialists, AI Product Managers, and Robotics Engineers. Top recruiters in the AI/ML space include companies like Amazon, Google, Microsoft, IBM, Capgemini, Morgan Stanley, and various AI startups. Poornima University's overall average placement package for 2024-25 was INR 3.6 LPA, with the highest package at INR 13.13 LPA. Students with SAS certifications, strong Python/TensorFlow skills, and a portfolio of AI projects tend to secure significantly better packages. Pursuing an M.Tech or MS in AI/ML after B.Tech can further enhance career prospects.

Ans. The B.Tech (AI & ML) curriculum covers Python as the primary programming language, along with R for statistical computing. Key tools and frameworks include TensorFlow, PyTorch, Keras, scikit-learn, OpenCV (for computer vision), NLTK and spaCy (for NLP), Hadoop and Spark (for big data), and the SAS Viya platform. Students also learn SQL for database management, cloud platforms (AWS, Azure, Google Cloud), and version control tools like Git. The curriculum includes hands-on lab sessions, mini-projects, and a final-year capstone project, ensuring students graduate with a strong practical portfolio.

Ans. Students from a Biology background (PCB) can apply for B.Tech (AI & ML) at Poornima University, as the eligibility requires Physics and Mathematics along with any one optional subject including Biology. However, students from a Commerce background (without Physics and Mathematics) are not eligible for B.Tech admission. The minimum aggregate required is 50% in Class 12 (45% for SC/ST/OBC/SBC candidates). Students from a Biology background who are interested in AI and ML are encouraged to strengthen their Mathematics foundation before joining, as the program involves significant mathematical concepts including linear algebra, calculus, probability, and statistics.