PROGRAM

UG Programme: Bachelor of Artificial Intelligence & Data Science

Sanctioned Intake: AY 2025-26 =150

Duration: 4 Years

Course Code: 517399510

Vision

To nurture and excel in the domain of Artificial Intelligence and Data Science by providing exposure to develop intellectual professionals as well as ethical values to serve the greater cause of society.

Mission

1. To foster students with the latest technologies and thrust areas in the field of AI & DS. 
2. To inculcate values that will assist in developing professionals with social and ethical responsibilities.
   
3. To collaborate with industry, academic, and research organizations to create competent IT professionals.
   

Program Educational Objectives (PEOs)

PEO1:Achieve strong fundamentals, and domain knowledge through projects and industrial training and be updated with recent technology to provide effective solutions for engineering problems and meet industry standards.PEO2:Have effective communication, leadership, team building, problem-solving, decision-making skills, and software as well as creative skills by understanding modern issues thereby contributing to their overall personality and career development.PEO3:Able to face the challenges in professional practices in consistency with societal needs, environmental factors, and adherence to professional ethics which will lead to lifelong learning.

Program Outcomes (POs)

Engineering Graduates will be able to:

PO1: Engineering Knowledge-

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO2: Problem Analysis -

Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4).

PO3: Design Development of solutions -

Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO4: Conduct Investigations of Complex problems -

Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO5: Engineering Tool Usage -

Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO6: The Engineer and The World -

Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO7: Ethics -

Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO8: Individual and Collaborative Team work -

Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9: Communication -

Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO10: Project Management and Finance -

Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO11: Life-Long Learning -

Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

PROFILE

• Department of Artificial Intelligence & Data Science was started in 2020 with the intake of 30. Department has excellent infrastructure and human resources.
• The department has well qualified and experienced staff. Department is enriched with the laboratories. Laboratories are well equipped with latest software and hardware. Students are trained in Computer Programming for engineering applications to meet the IT Industry challenges.
• Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
• When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.
• Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
• Data science(DS) is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.
• Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science.