M.Tech in Computer Science and Engineering (Artificial Intelligence and Data Analytics)
The two-year post graduate programme in Computer Science and Engineering (Artificial Intelligence and Data Analytics) is intended to train the students in both the advanced areas in the core courses and specialized topics in the emerging technology fronts. This programme is offered in the self-sponsored scheme for graduates from any branch of Engineering /post-graduates in any field of Science / Mathematics / Statistics / Computer Science / Computer Applications, having a special interest in Computer Science and Engineering in general and AI & Data Science in particular.In this way, this programme will be a unique learning experience for the students coming from multidisciplinary fields of Engineering, Science and Technology which is deemed as the need of the hour. Selection will be based on the test and interview conducted by the Department of Computer Science and Engineering.
The curriculum, designed in consultation with experts from both the industry and academia, provides a balanced coverage of the theoretical foundations of the subject and places heavy emphasis on the engineering practice that suits the industrial requirements.Courses offered include Artificial Intelligence, Machine Learning, Data Analytics, Algorithms and Complexity, Pattern Recognition, Image Processing and Bioinformatics. The project work in the final year is intended to equip the students to go deeper into the area of specialization.
Pogramme Educational Objectives
PEO1: The graduates shall have an in-depth knowledge in the fundamentals of Artificial Intelligence and Data Analytics with the ability and confidence to specialize in specific areas of individual interest.
PEO2: The graduates shall have the ability to solve problems and critically analyze solutions in the area of interest in AI and Data Analytics.
PEO3: The graduates shall have the skill set for using knowledge in AI and Data Analytics, for the benefit of society with sound ethical practices and a lifelong interest in contributing to knowledge in the field
Pogramme Outcomes
PO1: An ability to independently carry out research / investigation and development work to solve practical problems.
PO2: An ability to write and present a substantial technical report/document.
PO3: Students should be able to identify appropriate mathematical, analytical or software tools and use them to solve problems in the are of AI and Data Analytics, by applying appropriate skill sets acquired in the area.
Programme Specific Outcomes
PSO1: Students should have the ability to critically analyze solutions, proofs and programs in the field of AI and Data Analytics.
PSO2: Students should have the ability to communicate ideas, based on ethical values, and remain aware of the social responsibilities in the profession.
Present Intake:
25
Duration: