BTech in Artificial Intelligence and Data Science

Artificial Intelligence (AI) and Data Science (DS) is a new field of study that deals with extracting knowledge from data using processes, methodologies and techniques drawn from various domains such as statistics, cognitive science and computing and information science. It is a specialized field that deals with the creation of data driven solutions that are used in various industries including banking, transportation, logistics, health care and customer service.

AI and Data Science are heralding cutting-edge new solutions for businesses and everyday life, varying from SMART gadgets to Netflix recommendations and products like Amazon’s Alexa and Google Home. According to a study, AI and Data Science technologies are used in some form by 77% of the products that we use on a daily basis.

During the period of study, students will learn Artificial Intelligence, Data Analytics, Data Visualization, Machine Learning, Deep Learning, Social Network Analytics, Data Security and Privacy and other related subjects.

Students studying this programme will be able to design, develop and apply AI and DS based solutions to real world business challenges.

This programme opens the door to lots of careers, the most common among them are listed below. This programme also has opportunities for higher education and research in Indian/foreign top-ranking universities.

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Applied Machine Learning Engineer
  • Expert Analyst
  • Business Intelligence Expert
Vision
To be a centre of excellence in the broad field of Artificial Intelligence by focusing knowledge-centric education, innovation and cutting-edge research to address the needs of industry and society.
Mission
  • To develop technocrats with strong core capabilities in Artificial Intelligence by continuously enhancing teaching and learning with state-of-the-art technologies
  • To provide high-quality, value-based education to gain competence in Artificial Intelligence and allied areas in terms of research and innovation activities for societal benefits
  • To promote students' professional growth by instilling ethical and leadership skills with industry support

PEOs:

Graduates of AI and DS will:

1. Demonstrate excellence in cutting-edge technologies of Artificial Intelligence and Data Science and solve problems in society

2. Solve intelligent computing and multidisciplinary challenges using their analytical, decision-making and core skills learned in Artificial Intelligence and Data Science

3. Exhibit professional and ethical mindset and approach problems with social awareness by virtue of teamwork, communication and leadership qualities

 

Program Outcomes

Graduates of AI department will be able to:

PO 1

Engineering knowledge:  Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2

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.

PO 3

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.

PO 4

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.

PO 5

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.

PO 6

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.

PO 7

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.

PO 8

Ethics:  Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9

Individual and team work:  Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10

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.

PO 11

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.

PO 12

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.

Program Specific Outcomes

PSO1: Foundations of Artificial Intelligence and Data Science

Identify and apply relevant analytical, statistical and computational methods and tools to build intelligent systems for societal benefits.

PSO2: Developing Data Driven Solutions

Comprehend, design, build and interpret data models and develop Artificial Intelligence driven solutions to address the needs of Industry and Society.

Top companies Using AI and Data Science are:
  • Google
  • Apple
  • Amazon
  • Tesla
  • Twitter
  • Facebook
  • Pandora
  • Netflix
  • Uber