About The Department
Artificial Intelligence and Data Science
The Department of Artificial Intelligence and Data Science is established in the academic year 2024-2025 with an intake of 30 students. AI & DS has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course also emphasizes areas like big data analytics, fuzzy technologies, and artificial neural networks. The department is well equipped with state-of-the-art infrastructure to empower the students with the state of art technologies.The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.The department endeavours a good collaboration with industries which are working in AI domain.
DEPARTMENT VISION
To be a leader in Artificial Intelligence and Data Science education by integrating cutting-edge technologies, fostering creative thinking, and developing solutions that deliver lasting societal impact.
DEPARTMENT MISSION
- To provide high-quality education in Artificial Intelligence and Data Science through experiential learning, interdisciplinary collaboration, and ethical innovation, enabling students to solve real-world problems effectively.
- To create a strong academic and research environment that integrates theoretical knowledge with practical skills, preparing students to become future-ready professionals in AI and Data Science.
- To develop responsible technologists by combining advanced AI and Data Science concepts with an understanding of societal needs, ensuring ethical and equitable use of technology.
- To promote innovation, curiosity, and collaboration in Artificial Intelligence and Data Science, encouraging data-driven solutions to address complex global challenges.
PROGRAMME OUTCOMES
Engineering Knowledge:
Apply math, science, and engineering fundamentals to complex problems.
Problem Analysis:
Identify and analyze complex problems using research and sustainability principles.
Design Solutions:
Design systems and processes considering health, safety, cost, culture, and environment.
Investigations:
Use experiments, modelling, and data analysis to reach valid conclusions.
Engineering Tools:
Apply modern tools for modelling and problem-solving, recognizing their limits.
Society & Environment:
Assess societal, legal, and environmental impacts of engineering solutions.
Ethics:
Commit to ethics, human values, diversity, and legal compliance.
Teamwork:
Work effectively as an individual and in multidisciplinary teams.
Communication:
Communicate clearly in reports, presentations, and documentation across diverse groups.
Management & Finance:
Apply management and economic principles in projects and teamwork.
Lifelong Learning:
Engage in continuous learning, adapt to new technologies, and think critically
PROGRAM EDUCATIONAL OBJECTIVES (PEO’s)
- 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.
- Design and model AI based solutions to critical problem domains in the real world.
- Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
PROGRAM SPECIFIC OUTCOMES (PSO’s)
- Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
- Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.
- Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
- 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.
- Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
