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UG Programme

BE Artificial Intelligence and Data Science

About the Course

Established in the year 2020, the CS&AI Department offers a 4-Year B.E- (AI & DS) Degree course that started with an annual intake of 60 students, and it was increased to 120 students from the year 2022 onwards.

Artificial Intelligence and Data Science (AI & DS) is an interdisciplinary field that combines Computer Science, Mathematics and Statistics to create intelligent systems that can learn from data. Data Science consists of various statistical techniques whereas Artificial Intelligence (AI) systems use intelligent processing algorithms such as deep learning to work on merging massive sets of data to automate predictive analytics.

The main objective of this course is to provide students with knowledge that deals with scientific methodologies and techniques drawn from domains like statistics, cognitive science, computing, and information science. This programme is designed to train graduates in emerging technologies required to build intelligent systems with statistical insights. The programme will also enable students to apply AI, Natural Language Processing, Deep Learning to develop smart machines and systems that can emulate human understanding to make predictions, analyze large datasets, and automate processes etc.

The BE programme in AI & DS is designed to provide the foundations for job roles like Data/Analytics Manager, Data Architect, Data Analyst, Data Engineer, Data Scientist, Data Storyteller, AI Engineer, AI Developer, Business Intelligence Engineer, Statistician, Database Administrator, Software Developer/Engineer, etc., in the evolving job market scenario.

 

Vision

To contribute competent Computer Science and Artificial Intelligence professionals to the global talent pool to meet the constantly evolving societal needs.

Mission

Mentoring students towards a successful professional career in a global environment through quality education and soft skills in order to meet the evolving societal needs.

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Laboratories for the course

  • Programming for Problem Solving Lab
  • Machine Learning Lab
  • Deep Learning Lab
  • Mining Massive Dataset Lab
  • Data Structure & Algorithms using C
  • OOPS Using Java lab
  • Computer Organization & Microprocessor lab
  • Computer Networks and operating system lab
  • Data Science lab
  • Artificial Intelligence lab
  • Database Management System lab
  • Big Data Analytics lab

Program Education Objectives (PEO's)

  • Graduates will have the capability to apply their knowledge and skills gained to solve the real world problems.
  • Graduates will have lifelong learning skill, innovation and creativity to excel in cutting edge technology.
  • Graduates will have the ability to apply acquired knowledge to improve the society.

Program Outcomes (PO's)

Graduates will be able to:

  • PO1: ENGINEERING KNOWLEDGE
    Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  • PO2: 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.
  • PO3: 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.
  • PO4: CONDUCT INVESTIGATION 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.
  • PO5: 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.
  • PO6: 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.
  • PO7: 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.
  • PO8: ETHICS
    Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: INDIVIDUAL AND TEAM WORK
    Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: COMMUNICATION
    Communicate effectively on complex engineering activities with the 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.
  • PO11: 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.
  • PO12: LIFE-LONG LEARNING
    Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broader context of technological change