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B.Tech - Artificial Intelligence and Data Science
Engineering (B.E. / B.Tech)
Shortlisted by 2+ Students
Location: Dehradun
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 8.82 Lakhs
Highlights The B.Tech program in Artificial Intelligence and Data Science is a comprehensive program. It delves into foundational subjects such as Data Structures & Algorithms, Software Engineering, and Computer Networks in addition the program ensures a strong grasp of essential concepts in Artificial Intelligence and Data Science. Advanced AI concepts are further explored through in-depth study of topics like Database Systems, Cloud Computing, Big Data Analytics, and Reinforcement Learning. The overarching goal of the program is to equip students with the expertise to develop algorithms that mimic human problem-solving capabilities, achieved through the application of networks, algorithms, data analysis, and programming techniques. This comprehensive approach includes the study of programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring a well-rounded understanding of Artificial Intelligence and Data Science.
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Bachelor of Technology in Artificial Intelligence and Data Science
The B.Tech program in Artificial Intelligence and Data Science is a comprehensive program. It delves into foundational subjects such as Data Structures & Algorithms, Software Engineering, and Computer Networks in addition the program ensures a strong grasp of essential concepts in Artificial Intelligence and Data Science. Advanced AI concepts are further explored through in-depth study of topics like Database Systems, Cloud Computing, Big Data Analytics, and Reinforcement Learning.
The overarching goal of the program is to equip students with the expertise to develop algorithms that mimic human problem-solving capabilities, achieved through the application of networks, algorithms, data analysis, and programming techniques. This comprehensive approach includes the study of programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring a well-rounded understanding of Artificial Intelligence and Data Science.
Advantage @DGU
Holistic Curriculum Integration
Seamlessly blends foundational subjects with cutting-edge AI concepts, providing students with a comprehensive education covering both fundamental principles and advanced technologies.
Foundational and Advanced Exploration
Delves into advanced topics like Database Systems, Cloud Computing, and Big Data Analytics, ensuring graduates are well-equipped for the dynamic landscape of Artificial Intelligence and Data Science.
Practical Application of AI
Focuses on developing algorithms that emulate human problem-solving, offering hands-on experience with networks, algorithms, data analysis, and programming techniques for real-world challenges.
Multifaceted Skill Development
Covers programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring graduates possess a diverse skill set highly valued in the industry.
Future-Ready Education
Incorporates emerging technologies, preparing students for the future of AI and Data Science with relevant industry trends and tools. Graduates emerge with theoretical knowledge and practical skills for evolving technological landscapes.
Latest Trends in Industry
The future holds immense promise for graduates in Artificial Intelligence & Data Science as organizations increasingly rely on data-driven insights. This program positions professionals at the forefront of a burgeoning digital landscape, where the demand for skilled individuals is consistently expanding. Diversification of AI and Data Science applications into sectors like manufacturing, retail, and energy opens new avenues, while integration with emerging technologies like edge and quantum computing propels the field into uncharted territories. The healthcare sector, in particular, offers significant opportunities for AI applications in diagnostics and personalized medicine. Graduates will play crucial roles in addressing emerging challenges related to data privacy and ethics, ensuring responsible and transparent use of data in an evolving technological landscape. Industry trends reflect a dynamic landscape, with the rise of Explainable AI (XAI), Automated Machine Learning (AutoML), and the integration of AI in DevOps processes. Edge AI, Natural Language Processing (NLP) advancements, and predictive analytics for cybersecurity are shaping the future. Continuous learning remains paramount, as AI and Data Science professionals adapt to evolving technologies and methodologies, ensuring they remain competitive in this rapidly advancing industry.
Career Opportunities
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