B.Sc Artificial Intelligence and Data Analytics
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
PHD
Study Mode
On Campus
B.Sc (Artificial Intelligence and Data Analytics) is a three-year UGC recognized undergraduate Programme offered by the Department of Computer Applications. This programme has been designed to apply analytical and programming skills in the areas related to Artificial Intelligence (AI) and Data Analytics (DA). The students can get in-depth knowledge in artificial intelligence applications and data analysis techniques which are the rapidly growing areas in the fast-changing world.
The programme is designed with a unique curriculum to meet the industry and practical needs and the students will be able to apply critical thinking and technical abilities acquired in the field of Artificial Intelligence and Data Analytics. The curriculum includes courses like, Machine Learning Techniques, Computer Vision, Deep Learning, Cognitive Computing, Data Analysis and Visualization Techniques, Big Data Analytics, Predictive Analytics etc. to provide both conceptual and practical knowledge to the students.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
PHD
Study Mode
On Campus
B.Sc (Artificial Intelligence and Data Analytics) is a three-year UGC recognized undergraduate Programme offered by the Department of Computer Applications. This programme has been designed to apply analytical and programming skills in the areas related to Artificial Intelligence (AI) and Data Analytics (DA). The students can get in-depth knowledge in artificial intelligence applications and data analysis techniques which are the rapidly growing areas in the fast-changing world.
The programme is designed with a unique curriculum to meet the industry and practical needs and the students will be able to apply critical thinking and technical abilities acquired in the field of Artificial Intelligence and Data Analytics. The curriculum includes courses like, Machine Learning Techniques, Computer Vision, Deep Learning, Cognitive Computing, Data Analysis and Visualization Techniques, Big Data Analytics, Predictive Analytics etc. to provide both conceptual and practical knowledge to the students.
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