SCHOOL OF
COMPUTER SCIENCE &
ARTIFICIAL INTELLIGENCE
DRIVING STRATEGIC GROWTH

There is nothing more
powerful than an idea
whose time has come
~ Victor Hugo

Computer Science and AI has seen exponential growth in the last few years. It is fueled by explosion in the use of the Internet, extensive penetration of smartphones, increasing use of online services, social media, e-banking and increasing incidents on Human workload.

Artificial Intelligence is a deep-rooted exciting specialization of computer science concerned with methods to make computers or machines intelligent. So that they are able to learn from experience to derive implicit knowledge from the one given and to understand natural languages to determine the content of images to work collaboratively.
The School of Computer Science and AI at TERF adopts continuous learning and research by nurturing innovation and a state-of-the-art learning environment to meet the global challenges. The School keeps itself abreast of global advancements.
Courses at TERF are designed to not only prepare students for challenging industries but are also rigorous and task oriented with an aim to bridge the gaps in skill sets that are highly sought after. These courses provide students with a spectacular array of dedicated frontiers in the field of Artificial Intelligence and Machine Learning (AI&ML) with a foundation in Computer Science. The program presents exposure to hands-on technologies to create applications and solutions for the world that we live in with some huge career opportunities as Big Data Professional, Business Intelligence Developer, Data Scientist, Machine Learning Professional, Research Scientist, AI Data Analyst, AI Engineer, Robotics Scientist, etc.

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Technology is deeply engraved in our daily life. The IT industry is booming with opportunities for young talent that can transform ideas into operational technology.

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Your Step-wise Guide to
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An intricate web of programming enables the swift operation of technology at our fingertips. Programming is essential for most technology development practices.

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