About the Department of

B.Tech - Artificial Intelligence and Data Science

The Department of Artificial Intelligence & Data Science at our institution started in the academic year 2020-2021. The department has undergraduate (UG) program with intake capacity of 60. The program is approved by AICTE, New Delhi and affiliated to Anna University.

This course also gives importance to areas like big data analytics, fuzzy technologies, and artificial neural networks. It helps students in getting ready with skills to perform decisions that are based on data analysis.

Through AI and DS courses, students will gain skills in areas like statistics, data scientists, machine learning, computer science, and logic.

The core Faculty team with well-experienced, dedicated, highly qualified and expertise in the domain area of Artificial Intelligence and Data Science augments the learning capabilities of the students and facilitate them to understand the fundamental concepts through innovative methods of teaching. The leading Artificial Intelligence and Data Science colleges in Chennai provide high-end processing systems with seamless Wi-Fi connectivity, essential software and tools for students to apply learning from theory classes to the real world and analyse their results.

Our College has established a Centre for Data Science and Artificial Intelligence to provide a conducive platform for students and faculty to carry out research projects and implement innovative ideas that evolve in multi-disciplinary domains. This Centre periodically organize hands-on training, workshops and seminars to students to make them technically vibrant and actively take part in co-curricular activities to showcase their talents. Through periodical interaction with various industries, the industrial needs of the engineers are observed and accordingly the students are trained to be ready to meet the industry expectations. Internships are arranged during the Summer/Winter vacation period in leading industries and organizations to provide real-time exposure to students in the work atmosphere. Once a semester, industrial visits are arranged for students to observe and understand the applications of Artificial Intelligence and Data Science in real scenarios.

This four-year degree programme will certainly provide a roadmap to advance the profession and career growth of the students. As it is the emerging field with a wider scope in all industrial sectors, a professional degree with strong knowledge in Artificial Intelligence and its methods along with the techniques to solve and visualize the solution with Data Science builds up the self-confidence in minds of budding engineers to become a successful and highly demanded professional in the society.

As a focused branch of the global technology, AI & DS have an enormous scope of development with plenty opportunities. The key area of Artificial Intelligence & Data Science is to deliver the intelligence through multifaceted program to solve a specified problem. Self-motivated, strong and high performing faculty are involved in mentoring the overall growth of the students

Sufficient career openings exist in public and private sectors such as health care industry, manufacturing, e-commerce, social networks, etc. The jobs in AI &DS include Software analysts and developers, Computer scientists and computer engineers, AI Algorithm specialists, Research scientists, AI &ML Engineer, Machine Learning and Artificial Intelligence Scientist, AI Software Engineer and many more.

Earning a bachelor’s degree in Artificial Intelligence and Data Science prepares students not only to develop artificial intelligence applications, such as speech recognition, facial recognition, and language translation but also can develop strong analytical thinking skills and problem-solving abilities that benefit graduates personally and professionally. Graduates may also develop proficiency in data mining and analysis that will open doors in a diverse range of industries.


Vision

    To create globally recognized Technologists through innovation and research excellence in Artificial Intelligence and Data Science for sustainable development.

Mission

  •  To develop practically trained skilled professionals to meet the current and prospective demands of the world in the area of AI&DS .

  •  To create top-notch students competent on the professional, ethical, and technical fronts .

  •  To inculcate the multidisciplinary skill set required to fulfil a societal need .

Programme Educational Objectives (PEOs)

  •   Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.

  •   Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

  •   Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

Program Outcomes (POs)

  •   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 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.

Programme Specific Outcomes (PSOs)

  •   Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

  •   Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.

Course Outcomes (COs)


  •   2021 Regulation

    • Faculty

    S.NONAME DESIGNATION
    1 Mrs DR.S.SHALINI PROFESSOR (HOD)
    2 Mr DR.N.PARTHEEBAN PROFESSOR
    3 Mr DR.GNK.SURESH BABU PROFESSOR
    4 Mrs D.SHANTHI ASSOCIATE PROFESSOR
    5 Mrs P.ABIRAMA SUNDARI ASSISTANT PROFESSOR
    6 Mrs R.RAMYA ASSISTANT PROFESSOR
    7 Ms R.SUPRIYA ASSISTANT PROFESSOR
    8 Mrs B.DHARSHINI ASSISTANT PROFESSOR
    9 Mrs S.ASHLIN LIFTY ASSISTANT PROFESSOR

    ^