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B.Tech. CSE
(Artificial Intelligence & Machine Learning)

COURSE HIGHLIGHTS

B.Tech. in CSE – Specialization in Artificial Intelligence & Machine Learning

 

  • Bachelor of Technology in Computer Science Engineering with a specialization in Artificial Intelligence & Machine Learning is one of the top-notch careers of this new decade. Technology is such a field, which never gets static. It’s a dynamic branch of sweeping innovations and experiments. 
  • While Artificial intelligence is driving towards creating a simulation of human intelligence and behavior, Machine learning on the other hand is a subset of AI that enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. 
  • According to research, it’s estimated that about 30 percent of all the B2B companies will be employing AI to boost at least one of their sales processes. This throws light, on a very important aspect of this field, the ‘job demand’ in the market. With a BTech in the field, one would expect much higher returns in comparison to other traditional engineering fields.

Course Features

 

  • Unique world-class in-depth learning content on emerging technologies.
  • Strong emphasis on Project, Labs, and Case Study based learning.
  • Stress on Industry-aligned Curriculum & continuous Industry interaction.
  • The futuristic online delivery platform- ‘Industry-Academia Collaboration Framework’ encourages students to Learn, Collaborate and Discover.
  • Student participation in Intra-college, inter-college, and global competitions.
  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using rst principles of mathematics, natural sciences, and engineering sciences
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specied needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  • Individual and team work: Function eectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
  • Communication: Communicate eectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write eective reports and design documentation, make eective presentations, and give and receive clear instructions
  • Project management and nance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

COURSE DETAILS

COURSE FACT SHEET

45% In PCM at +2 Sc Level /

45% in total at +2 Sc level with rank in SSU CET /JEE (Main) / OJEE/

Any other State Level & National Entrance Test

ELIGIBILITY

(For ADMISSION)


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08 SEMESTER

(04 YEARS FULL TIME)


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INR 80,000

(TUITION FEE PER SEMESTER**)


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