DEPARTMENT OF COMPUTER SCIENCES
Artificial intelligence (AI) has developed into the most powerful data analytics technology in recent years, leading to remarkable breakthroughs in many fields. While in the era of big data, data analytics underpins the data-intensive research that responds to real-time challenges. These breakthroughs are benefiting industrial sectors as varied as information and communications technology (ICT), finance, health, transportation, and manufacturing. It would open new opportunities for interdisciplinary collaboration that is strongly encouraged as part of the university’s strategy for 2030 Vision. The AI & Data Analytics Lab aims to provide high-quality, cutting-edge research contributions by unifying the fields of statistics, data analysis, machine learning, and artificial intelligence to understand and analyze actual phenomena with data. The research produced would contribute to enhancing visibility and promoting interdisciplinary research incorporating local and international partnerships. The lab facilitates professional pieces of training, workshops, and conferences in-house and in cooperation with other institutes, companies, or research centers to provide training to members and society. Professional certificates can be offered to interested students. The decisive objective is to contribute to the initiatives for the strategic objectives of the health sector, education field, information security, forensic analysis, and energy sector to support the vibrant digitized society.
B.Sc Artificial Intelligence and Data Science is a 3-year undergraduate course that integrates data science and artificial intelligence collaboratively. The course prepares students to conduct data-driven investigations using statistical and artificial intelligence techniques. The course aims to make students familiar with the technologies and skills related to AI and data science. The course also makes students understand its application in real-world Problems.
To be eligible for B.Sc Artificial Intelligence and Data Science Course, candidates must have cleared class 12th with a minimum of 45% marks (60% in top colleges) with Mathematics or Computer Science as a core subject.