Total Intake 60
With the exponential growth in data, Artificial Intelligence and Data Science (AI & DS) has emerged as one of the most, dynamic, and productive careers in technology. It deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, computing and information science to extract knowledge from structured and unstructured data. The Artificial Intelligence and Data Science program is designed to prepare students to gain practical knowledge of data analytics methods and apply it in interdisciplinary domain. It is designed to inculcate computational thinking to solve practical problems. The program covers variety of topics related to Statistics, Data Mining, Machine Learning, and Artificial Intelligence to equip the students with knowledge of data analysis techniques and data-centric computation to address problems that require large data.
The offered program intends to develop
On successful completion, AI & DS graduate students can choose specialization to pursue higher studies in domains like Expert Systems, Natural Language Processing, Neural Networks, Robotics, Fuzzy Logic Systems, etc. Many universities at Global, National and Local level offer specialized courses in M.S., M.Tech, M.E., MBA, and PG Diploma for AI & DS undergraduates.
Availability of enormous data and need to solve existing problems, in domains such as, Healthcare, Agriculture, Smart city, Smart Vehicles to name a few, there are ample opportunities for entrepreneurship. We, at SIESGST provide support to promote entrepreneurship by conducting awareness sessions and mentoring students.
Students with Research aptitude can also pursue it in interdisciplinary domain. Graduate students having an adequate amount of research experience along with an exceptionally great academic background can pursue a PhD.
At the successful completion of AI & DS program an engineering graduate will be able to
To make students industry ready, at SIESGST we offer interdisciplinary value added courses which helps students in gaining practical knowledge in data analytics and their field of interest. The student development programs in Machine Learning with Python, Data Science with R, Text Mining, Cyber Security, Blockchain Technology, etc. are designed to empower them to employ computational thinking and data science tools to solve practical business problems.