B.Tech. Artificial Intelligence and Data Science

With the innovations in Artificial Intelligence (AI), different sectors in all domains of the industry are leveraging the power of AI. Applications of AI span from practical speech and voice recognition, embedded in our phones for voice commands to autonomous driving and navigation capabilities in unmanned vehicles. The more you use it, the more it learns, and becomes more accurate in its responses. This ability to improve by itself is the essence of AI. To realize AI-based cost-effective and reliable solutions for the demands in our daily life, there is an inexhaustible need of well trained and passionate graduates, possessing the skill set of AI.
B.Tech. Artificial Intelligence and Data Science programme aims at developing the technical skills of students to perform data processing and analysis, which is an essential task in various real-world applications. During the last decade, data science engineering has emerged as one of the most lucrative career fields in technology and allied businesses. This programme aims at building not only the core technologies such as machine learning, deep learning, data modeling and data mining, but also gives intensive inputs in the evolution of technology. The curriculum strikes a balance between computing and information technologies as well as statistics and mathematical sciences, thus allowing a thorough training of applying AI techniques in the data science field. The major focus of this programme is to equip students with statistical and mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
By this course, the students will gain cross-disciplinary skills across fields such as mathematics for Artificial Intelligence, statistics for Data Processing & Analysis, Computer Science for developing machine learning applications, and Mechatronics for realizing real-world solutions.
Studies done by reputed organizations indicate that AI paves the way for providing more than a million opportunities in industry worldwide by the end of this year. Graduates of this programme will have career opportunities in healthcare, business management, e-commerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The role of the graduates in these domains includes Data Scientist, Machine Learning Engineer, Data Analyst, AI Developer, Business Intelligence Developer, and Decision Maker/Statistician.