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Top 5 B. Tech Specialisations in India

Learn from world leaders in the industry with specialized, hands-on knowledge

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B.tech books
UPES is among the top colleges of India in providing specialisation courses. Pixabay

A bachelor of technology degree has long been the chosen field of academic career for several students worldwide. This is mainly because of the varied professional paths that it has to offer. Adding a specialisation to a B. Tech course guarantees detailed knowledge and complete information in a particular field that a student might be interested in. Let us take a look at some of the specialised disciplines in engineering that you can pursue in India.

  • B. Tech Applied Petroleum Engineering This program is designed to develop technical competency among students to take up managerial roles in the field of exploration and production of hydrocarbons. Additionally, students will also get the opportunity to become proficient in the upstream engineering sector. It provides students with hands-on training of the applications of digital technologies on upstream that can allow them to take up roles as a data scientist and digital officers in the future.
  • B. Tech Chemical Engineering – This B. Tech course helps students gain an in-depth understanding of the best global practices in the fields of natural gas processing, transportation and utilisation techniques. Furthermore, students will also learn about the applications of specific upstream activities, including exploration, reservoir and production processes. After completing this degree, students can find employability in a variety of industrial sectors including, chemical, refining & Petrochemical Fertilizers and allied sectors, engineering, procurement and construction, research & development.
  • B. Tech Mechatronics Engineering – Through this program, graduates will practice mechatronics engineering in various areas of industrial and non-industrial automation. Additionally, they will pursue advanced and interdisciplinary learning modules and research courses in the domain of robotics, automation, and process control and mechatronics product design. Students will also gain expertise in the designing of real-time mechatronic systems, components and processes by applying their knowledge of mechanical, electrical, computer science and artificial intelligence. This will allow them to take on a professional career in technical, managerial and entrepreneurial role.
B. Tech in UPES
To develop industry focused engineers with expertise in the areas of oil and gas, energy, infrastructure, transportation, electronics, automotive design and aviation. Pixabay
  • B. Tech Electronics & Communication Engineering – This course will provide students with a good grounding on the designing and manufacturing aspects of electronic devices and components, integrated circuits, wireless devices. Furthermore, students will get hands-on training on their numerous applications in the industry, including the digital working of electronic circuitry. The career-oriented skills developed through this program enable students to become well-equipped engineers and analysts. 
  • B. Tech Electrical Engineering – This B. Tech program is known to be the main core branch of engineering and professional engineering discipline that has a strong demand in the industry. With the industrial growth being skyrocketed, the demand for electrical engineers is increasing across all regions of the world. Electrical engineering graduates are typically hired by power generation, transmission, distribution, as well as service sector companies.

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If you are interested in land lucrative and out-of-the-box job roles, then applying for an innovative B. Tech course will help you achieve that. So, go ahead and explore all the options available to embark upon the specialised program that suits you the best.

Next Story

IIT-Madras Develops AI Model for Learning and to Solve Engineering Problems

The researchers utilised a data-driven AI and a deep learning model to arrive at solutions for engineering problems after training the AI with data sets

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IIT-Madras
The researchers of IIT-Madras are going to establish a start-up to deploy their AI Software called 'AISoft' to develop solutions to engineering problems in varied fields. Pixabay

The Indian Institute of Technology, IIT-Madras on Monday said its researchers have developed algorithms that enable novel applications for artificial intelligence (AI), machine learning and deep learning to solve engineering problems.

The researchers are going to establish a start-up to deploy their AI Software called ‘AISoft’ to develop solutions to engineering problems in varied fields such as in thermal management, semiconductors, automobile, aerospace and electronic cooling applications.

“We tested AIsoft and used it to solve such thermal management problems. We found it to be nearly million-fold faster compared to existing solutions currently used in the field,” said Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering.

“Our AI works on any generalised rectilinear and curvilinear input geometry. Our research saves the computational time, which is the bottleneck to solve most engineering problems, Nandigana added.

The researchers utilised a data-driven AI and a deep learning model to arrive at solutions for engineering problems after training the AI with data sets.

These prior data sets can be from existing big data in the relevant engineering industry where there are lots of experimental data available.

IIT-Madras
IIT-Madras on Monday said its researchers have developed algorithms that enable novel applications for artificial intelligence (AI), machine learning and deep learning to solve engineering problems. Pixabay

Also, if data is not available for training the AI, it can be generated using commercially-available CFD (Computational Fluid Dynamics) software on small independent pieces of the full-blown problem.

This idea is new and is only now being looked at by a few research groups across the world. Most of these research groups use Convolutional Neural Networks (CNN) or C-GAN (conditional generative adversarial network) to solve engineering problems.

They have also developed hardware products using graphics processing unit (GPU) and multi-threading processing to solve thermal management problems in thermal and electronic cooling industries.

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Both the software and hardware products are several times faster than commercial numerical method software and open source software in the market.

These algorithms will solve a lot of pressing problems for industries and can also be used for educational purposes. (IANS)