Program details:
The B. Tech in Artificial Intelligence and Machine Learning program at UPES is a unique offering in collaboration with IBM, designed by a team of academic experts and industry professionals. Students are exposed to real-life applications of artificial intelligence and machine learning (AIML) from the beginning of their semesters, with a strong emphasis on probability and applied statistics. This allows students to think about AIML applications in both practical and theoretical ways, enabling them to optimize models and solutions.
The curriculum includes four projects, two of which are minor and two are major. In the major projects, students work on real-world problems and provide optimized solutions under the guidance of experienced mentors. Additionally, students are required to complete a three-month industry internship, where they work on real-world problems and have the opportunity to secure pre-placement offers. The faculty also involve bachelor's students in research work, providing opportunities to work on international and national projects of importance. Students are also encouraged to file patents independently or with the support of faculty members.
UPES also provides a platform for students to start their own businesses, and many students have successfully launched startups with good recognition. An excellent example is the first batch AIML student Mr. Nikunj Bansal, who worked with a faculty mentor on a prestigious international project and is a co-author of the work published in Scientific Reports, Nature Publishing Group. Overall, the B. Tech in Artificial Intelligence and Machine Learning program at UPES offers a comprehensive education that prepares students for successful careers in the field of artificial intelligence and machine learning.
Why Study?
Pursuing a B.Tech in Computer Science Engineering (CSE) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) offers a wealth of opportunities and benefits in today’s tech-driven world. The demand for AI and ML professionals is rapidly increasing across industries such as healthcare, finance, e-commerce, automotive, and entertainment, as organizations adopt these technologies to gain a competitive edge. This specialization provides access to lucrative career opportunities in roles like AI Engineer, Data Scientist, and Machine Learning Specialist, which are among the highest-paying jobs globally.
Studying AI and ML keeps you at the forefront of cutting-edge technologies driving advancements in automation, data analysis, and intelligent systems. These skills are highly versatile, with applications in diverse fields such as medicine, autonomous transportation, personalized education, and smart cities, enabling you to work in areas that align with your interests. Furthermore, this course equips you with problem-solving and analytical skills to tackle real-world challenges, fostering innovation and entrepreneurship by empowering you to create groundbreaking products or start your own venture.
A specialization in AI and ML also opens doors to global opportunities, allowing you to work with leading tech companies, startups, and research organizations worldwide. As the field continues to evolve with advancements in neural networks, quantum computing, and ethical AI, you can contribute to impactful research and development efforts. By choosing this path, you secure a future-proof career in a domain that is shaping the future, addressing global challenges, and making a meaningful impact on society.
Eligibility
The minimum eligibility criteria for B. Tech in Artificial Intelligence and Machine Learning to be fulfilled by interested students is as follows: Minimum 50% marks in Class X and XII with 50% in PCM in Class XII.
Scope / Industry Trends
The future scope of B. Tech in Artificial Intelligence and Machine Learning is promising as enterprises that adopt AI engineering practices are expected to outperform their peers by at least 25% in terms of operationalizing AI models by 2026. AI is becoming an essential technology in various fields, including self-driven vehicles, digital disease diagnostics, and robot assistance. The demand for qualified artificial intelligence engineers has more than doubled in recent years, creating endless opportunities for those interested in research and development in AI. According to Gartner's study, there could be up to 2.3 million prospects for AI professionals by 2020, and the number of job vacancies in AI has doubled in the last three years. Machine learning developers, software technologists, and data scientists are the most in-demand roles in AI, according to a related study by Indeed.
