AAFT B.Sc Artificial Intelligence: Fees 2026, Course Duration, Dates, Eligibility

Ans. While both programs share a strong foundation in Python, machine learning, and data analysis, B.Sc Artificial Intelligence goes deeper into AI-specific domains such as generative AI, reinforcement learning, agentic AI, prompt engineering, computer vision, and AI system architecture. B.Sc Data Science focuses more on the data lifecycle, business intelligence, statistical modelling, and analytics. B.Sc AI is ideal for students who want to build intelligent systems and AI applications, while B.Sc Data Science suits those more interested in data analysis, BI, and predictive modelling.

Ans. In Semester 5, students choose one of four capstone specialization tracks: Generative AI (covering GANs, VAEs, and transformer-based architectures for content generation), Agentic AI (covering autonomous intelligent agents using reinforcement learning and multi-agent systems), Responsible AI (covering fairness, transparency, explainability, bias mitigation, and privacy-preserving techniques), or Expert Systems AI (covering knowledge-based systems, rule-based reasoning, and inference engines). This specialization forms the student's final portfolio project.

Ans. Yes, Generative AI and LLMs are core components of the curriculum. Semester 4 includes a dedicated subject on Generative AI Applications covering GANs, VAEs, and transformer-based models. Semester 3 includes Prompt Engineering, covering how to craft, refine, and evaluate prompts for LLMs. Students also learn NLP in two dedicated semesters (NLP-I and NLP-II), covering transformers, attention mechanisms, and language generation. This makes the program one of the most current AI undergraduate programs available.

Ans. B.Sc AI at AAFT is a 3-year program focused on applied AI, with a strong emphasis on building and deploying AI systems using modern frameworks and tools. B.Tech AI/ML at engineering colleges is a 4-year program with a broader engineering foundation including hardware, networking, and systems programming. B.Sc AI at AAFT is faster to complete, more focused on practical AI application, and accessible to students from all streams, while B.Tech requires a Science background with Mathematics and is more engineering-oriented.

Ans. Yes, graduates of B.Sc AI from AAFT are eligible to pursue M.Sc in Data Science at AAFT itself, or apply to postgraduate programs in AI, Machine Learning, Data Science, or Computer Science at universities in India and abroad. The curriculum is aligned with international AI education standards, covering Python, TensorFlow, PyTorch, LangChain, cloud platforms, and MLOps, which are recognized prerequisites for most AI master's programs globally.

Ans. Artificial Intelligence is the most in-demand technology field in India in 2026, with massive hiring across sectors including technology, finance, healthcare, e-commerce, media, and government. AI Engineers and ML Engineers are among the highest-paid entry-level roles in the Indian tech industry, with starting salaries ranging from Rs. 5-8 LPA and experienced professionals earning Rs. 15-30 LPA or more. The rapid adoption of Generative AI, LLMs, and agentic systems is creating entirely new job categories such as Prompt Engineer, AI Interaction Designer, and AI Ethics Analyst, all of which are covered in AAFT's B.Sc AI curriculum.