To achieve value-based education and bring idealistic, ethical engineers to meet the thriving trends and technology in the field of Artificial Intelligence and Data Science.
Mission
Activate students potential in developing core competencies to solve real world problems through the effective application of Artificial Intelligence .
Involve students with industry collaboration, career guidance, entrepreneurship and leadership skills.
Discover students potential to become technically proficient engineers through innovation in Data Science.
Strengthen students ethical foundation to in-still morals in both personal and societal contexts
About Course
Intelligent machines are influenced by smart devices, human-machine interaction capabilities, emerging technologies and faster data processing. Data Science is an interdisciplinary field with the capability to secure knowledge from data - be it unstructured, semi-structured or structured data.
The B.Tech course in Artificial Intelligence & Data Science is devised to equip students to develop smart machines, applications and software with the latest combination of machine learning and visualization technologies. In recent years, data science has risen as one of the most dynamic, high-growth, and fruitful careers in technology.
Through this course, the students of EASA College of Engineering and Technology gain cross-disciplinary skills across fields such as computer science, statistics, machine learning, and logic. The main aim of this programme is to provide students with machine learning, knowledge discovery, visualization, mathematical reasoning skills. The curriculum aims students' to have
AI knowledge, technical and design skills - to understand strategic analytical methods
Data management skills - to design innovative tactics and to solve challenging real-world problems.
This program equips students to acquire the expertise to turn actionable insights and the latest technology into innovative outputs towards solving real-world problems and allows graduates to design.
Students gain exposure to the following core subjects during the course:
