– Vimal Bibhu NTA will soon release the entrance examination calendar and JEE aspirants will get to know their January and April exam dates. While it is too early to choose, however, some students have already decided their branch/ course. While CSE remains the most-preferred course, BTech in AI is also picked by top rankers. However, many engineering aspirants face the dilemma of whether to pursue a BTech Artificial Intelligence (AI) or BTech Computer Science Engineering (CSE). While both streams share similarities, there are key differences. We solve this for you: Clarifying the confusion: BTech AI is not a separate branch Contrary to popular perception, BTech in AI is not a distinct branch of engineering, as per the Indian technical education regulator - All India Council foe Technical Education (AICTE). Instead, it is a specialisation within BTech CSE that focusses on AI. Students can choose AI as a focus area within the broader CSE framework. The BTech in AI curriculum focuses on core AI concepts like machine learning, neural networks, deep learning and natural language processing (NLP) in addition to regular CSE courses. Key differences between BTech in AI and BTech in CSE Mandatory AI courses BTech CSE AI includes mandatory courses like machine learning, deep learning, supervised and unsupervised learning, whereas these are optional in BTech CSE. AI specialisation courses are machine learning (learning from data without explicit programming), deep learning (neural networks for image/speech recognition), and supervised and unsupervised learning (labeled/unlabeled data analysis). Whereas in BTech CSE (General) curriculum fundamental computer science subjects programming, algorithms, data structures, databases, operating systems, and AI-related courses available as optional electives. BTech CSE AI has an edge over BTech CSE In today's automation-driven industry, BTech CSE AI graduates have a significant advantage. With numerous job opportunities in the software and AI industries globally, this specialisation opens doors to diverse career paths. Key sectors include AI and machine learning (creating AI models, developing algorithms), data science (analysing and interpreting large datasets using AI) and robotics and automation (developing smart robotics, automating processes). Global opportunities exist in tech hubs including in the Silicon Valley, Europe, Asia, tech giants, startups, research labs and innovation-driven industries. AI machine learning specialists and cybersecurity professionals are expected to grow on average by 30 per cent by 2027, according to the Future of Jobs 2023 report by the World Economic Forum. A report by Indeed, a hiring platform, has revealed that 42 per cent of generative AI jobs in India mention “Machine learning”. As per projections made by Nasscom and BCG, India’s AI market is expected to witness explosive growth and reach $17 billion by 2027, driven by a 25-35% compound annual growth rate (CAGR). BTech CSE: Core software development In contrast, BTech CSE graduates have core software development job opportunities, but may not be as sought-after in AI-driven industries. Software development roles are like software developer (writing, testing, maintaining code), web developer (creating websites and web applications), system architect (designing large-scale software systems), and database administrator (managing data security). Limitations of BTech CSE - Less sought-after in AI-specific roles - Require additional learning or further education to transition into AI fields - Limited opportunities in AI-driven companies and startups For students seeking a future-proof career, BTech CSE AI offers a competitive edge. By understanding the differences between these two streams, aspirants can make informed decisions about their engineering journey. (The writer is the Professor of Computer Science and Engineering at Noida International University)
