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B.Tech in Artificial Intelligence and Data Science
About the program
B.Tech. in Artificial Intelligence and Data Science is a bachelor’s program offered at School of Computing Science and Engineering having a comprehensive coverage of core fundamentals of computer engineering along with coverage of applied mathematics used in data science and artificial intelligence while preparing the students to analyse, design and experiment solutions to problems. Intelligent machines are influenced by emerging technologies, smart devices, sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities. Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from data - be it structured, unstructured, or semi-structured data. Twinned with Artificial Intelligence, more efficient solutions to find meaningful information from huge pools of data are possible today, with data from multiple sources - sensors, images, streaming video, satellite, medical imagery and the cloud. The curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic analytical methods and tools, and data management, with the objective of creating innovative strategies to solve challenging real-world problems.
The program is focusing on different aspects of data management. This specialized B.Tech program includes following courses:
|Business Intelligence and Data Warehousing||Big Data Analytics|
|Mathematics for Data Analytics||Web Intelligence and Big Data Analytics|
|Information Integration and Data Analytics||Social ,Web & Mobile Analytics|
|Big Data Technologies||Financial Data Analytics|
|Data Mining and Predictive Modeling||Distributed Data Mining|
|Data Privacy and Security||Business Strategy and Analytics|
|Large Scale Graph Analytics||Mobile and IoT Analytics|
|Data Analytics for Bioinformatics||Forensic Analytics|
|Machine Learning||Research Methodology|
|CRM Analytics||Ethics & laws in Social Data Analysis|
|Ecommerce and Social Media Analytics|
Minimum 60% in Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subject / Computer Science / Information Technology / Informatics Practices / Agriculture / Engineering Graphics / Business Studies in class XII.
Minimum 50% marks in Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies in XIIth with minimum 40%ile or upto 5 Lakh rank in JEE Mains.
For Lateral Entry:
Diploma (in Engineering and Technology) examination with at least 60% marks or equivalent (55% marks in case of candidates belonging to reserved category) . Subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted
B.Sc degree from a recognized institute with at least 60% marks or equivalent and XIIth with Mathematics as a subject.
For Migration from Other Universities:
1) B.E./B.Tech Ist year minimum 60% marks or 6.0 CGPA on a 10 point scale
2) 65% PCM or above at XII level.
The students will have the option to work as IT consultants, Data Scientist / Data Analysts / Business Analysts, AI specialists in research labs and explore a variety of domains including Manufacturing, Fintech, Healthcare, Agriculture/Food Processing, Education, Retail/Customer Engagement, Human and Robot interaction/intelligent automation, Smart City, Aid for Differently Abled/Accessibility Technology in high-end data services and IT product companies or become entrepreneurs.