The B.Tech program in Data Science and Artificial Intelligence involves subjects such as Artificial Intelligence, Data Mining, Data Modelling, Machine Learning And Big Data Analytics imparting the state of the art knowledge to the students and prepare them with the skills to perform intelligent data analysis which is a key component in numerous real-world applications.

Profile of Dr. Rabindranath Bera - Professor & Head of Department

Accreditation and Affiliations SMIT_AICTE 2021-2022

PROGRAM OUTCOMES (PO)

• 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 first 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 specified 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 effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  
• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  
• Project management and finance: 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.

SYLLABUS AND COURSE OUTCOMES

Click here for AI & DS syllabus.

Click here for Course Outcomes

CAREER OPPORTUNITY 

• Mandatory Internships in reputed MNCs, Major Projects in renowned NITs, IITs and Industrial training in prominent IT sector companies gives the students an exposure to the technology in practice and industrial environment.
• Seminars included in the curriculum helps them to experience self-learning and develop communication and interpersonal skills.
• Research activity in the department encourages for innovations and lifelong learning.
•  Workshops & conferences held at the department and institution level provides the students with the relevant exposure.
• There are opportunities for students in technical activities through technical clubs such as IEEE student branch.
• AI & DS Department has tremendous potential to cater for the needs of experts in Data Analytics & Artificial Intelligence across diversified Industry Segments viz:  IT / Ecommerce / Communication / Retail / Medicine / Banking & Finance / Media / Entertainment / Transportation / Construction / Governance / Automobile / Manufacturing and many more.
• Students are expected to utilize their technical knowledge and skills in core AI & Data Science using cutting edge technology in their business domains relevant to the
  Industry / Organization.