artificial intelligence &

data science

Understanding how to analyze, validate and interpret it to inform decision making are important skills in almost any area of ​​life. Nationally, there is a widely acknowledged shortage of skilled artificial intelligence (AI) and data scientists to meet industry needs. This programs will equip you with the skills and expertise you need to launch a career in this fast- growing industry. The program is aimed at STEM (Science, Technology, Engineering and Mathematics) students who want to improve their digital skills. It is also suitable for people who want to improve themselves and improve their career prospects. You will cover topics such as programming, statistics, machine learning, big data, data visualization, computer vision, and ethical and legal responsibility for the use of data. Teaching takes place on campus through a series of tailor-made modules. In the higher semester, you will do academic work or an internship in industry where you will apply your knowledge to real – world problems using data science and AI solutions. The institute works with a number of employers to offer students internship opportunities. By the end of the programs, graduates will have developed key skills in AI and data science, including programming, data visualization, problem solving and data interpretation. You can apply artificial intelligence and data science techniques to real-world problems; critical evaluation of AI and data science methods; plan, design and conduct empirical research and interpret, present and communicate the results of data science and AI solutions. The programs brings together expertise from departments across the Faculty of Science and Engineering, including computer science, physics and mathematics.

VISION

To cultivate a thriving Artificial Intelligence and Data Science ecosystem through quality education, research, and industry collaboration.

MISSION

  • To collaborate closely with industry partners and leading academic institutions to enhance our knowledge base and create innovative solutions through research and academia.
  • To establish an environment of educational distinction through excellent teaching and learning approaches.
  • To prepare students for successful careers and ethical leadership in the field.
  • To develop individuals with the strong ability to address real-world challenges effectively.

    VISION

    To cultivate a thriving Artificial Intelligence and Data Science ecosystem through quality education, research, and industry collaboration.
    MISSION
    • To collaborate closely with industry partners and leading academic institutions to enhance our knowledge base and create innovative solutions through research and academia.
    • To establish an environment of educational distinction through excellent teaching and learning approaches.
    • To prepare students for successful careers and ethical leadership in the field.
    • To develop individuals with the strong ability to address real-world challenges effectively.

    PROGRAM OUTCOMES (POs)

    1. Engineering Knowledge

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

    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.

    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.

    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.

    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.

    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.

    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.

    8. Ethics

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

    9. Individual and Team Work

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

    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.

    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.

    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 (PSOs):

    1. To design and implement AI algorithms for complex real-world problems, convert these problems into AI and data science formats, leverage big data frameworks, and assess solutions to make data-driven improvements.

    2. To effectively work in multidisciplinary areas, integrating knowledge to develop robust and efficient AI applications applicable across diverse domains.

    COURSE OUTCOMES (COs)

    Bachelor of Engineering

    2022 Scheme

    ARTIFICIAL INTELLIGENCE &
    DATA SCIENCE
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    Our Faculty

    Dr. Mehaboob Mujawar

    Associate Professor & HOD
    Qualification: B.E, M.E, PhD, MISTE
    Teaching Experience: 5 years
    Publications

    Mrs. Akshatha.T

    Assistant Professor
    Qualification: M.Tech

    Teaching Exp. : 2.5 years

    Industry Exp. : 2.5 years

    Ms. Soudha N

    Assistant Professor
    Qualification: M.Tech(CSE)
    Experience: 5 month
    Publications

    Mariyath Shabnam

    Teaching Assistant
    Qualifications : B.E

    Huzaina

    Teaching Assistant
    Qualifications : B.E

    EVENTS

    Beach Cleaning by NSS Unit of BIT – 2024

    Beach Cleaning by NSS Unit of BIT – 2024

    On Sunday, December 15, 2024, the NSS unit of Bearys Institute of Technology (BIT), organised a Beach cleaning drive at Ullal Beach with the theme “Clean Beach and Green Beach.”

    World Human Rights Day 2024 Celebrated at BIT, Mangalore

    World Human Rights Day 2024 Celebrated at BIT, Mangalore

    The Department of Artificial Intelligence and Data Science, in collaboration with BIT-NSS and BIT-ADVA, celebrated World Human Rights Day on December 13th and 14th, 2024, with great enthusiasm. The celebration began on December 13th with a series of engaging competitions, including a Skit Competition, Elocution Competition, Poster-Making Competition, Reels-Making Competition, and Just-A-Minute (JAM) Competition. These events provided a platform for students to showcase their creativity and talent, with faculty members from various departments serving as judges.

    One Day Session on “NBA and OBE”

    One Day Session on “NBA and OBE”

    IQAC-BIT organized a one-day session on “NBA and OBE” on 13-11-2024. The resource person for the event was Mrs. Roopashree, Assistant Professor and NBA Coordinator, Department of Electronics and Communication, Sahyadri College of Engineering and Management.