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From AI To Blockchain, Five New-Age Career Options BTech Students Can Opt For

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While traditional streams such as computer science, mechanical engineering are widely known among students and parents, several new-age courses are gradually gaining popularity amid technological advancements.

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IPU CET 2025 will be held from April 26 to May 18 (Representative/File Photo)
IPU CET 2025 will be held from April 26 to May 18 (Representative/File Photo)

Engineering is one of the most popular career fields among Indian students and is highly respected in society. While traditional streams like computer science, mechanical, electronics, electrical, and chemical engineering are well-known, several new-age courses are gradually gaining popularity due to technological advancements.

Here are five emerging career options that B.Tech students can consider:

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Data Science and Analytics: B.Tech graduates can pursue a course in Data Science and Analytics to learn how to manage data, derive insights, and make decisions. The curriculum includes data visualisation, programming, statistics, and algorithms. This field allows data scientists and engineers to use business, analytical, and programming skills to process and analyse data.

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Artificial Intelligence and Machine Learning: AI and ML courses teach students how to use these technologies to build intelligent systems. The curriculum covers data extraction, algorithms, and robotics. This field combines concepts from mathematics, cognitive science, electronics, and embedded systems to create systems that mimic human behavior.

Blockchain Technology: A blockchain technology course covers distributed ledger systems, cryptography, consensus mechanisms, smart contracts, and their applications across industries. Students learn to design and develop decentralised applications and gain hands-on experience with blockchain platforms and programming. The course also explores how blockchain is used in cybersecurity, information integrity, e-government, and contract enforcement mechanisms.

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    Internet of Things (IoT): This course covers computer science, networking, and communication technologies, as well as the evolution of sensors and technology used in IoT solutions. IoT is a rapidly developing field within IT and computer science and engineering. Knowledge in this area includes developing IoT-based products and their use in sensing, actuating, processing, and exchanging data with smart devices via the internet.

    Robotics Engineering: The Robotics Engineering programme teaches students how to design, construct, and programme robots. The curriculum includes mechanical and electrical engineering, computer science, and engineering. Students receive both theoretical and practical training in applied thermodynamics, control systems, embedded systems, and other related topics.

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