Artificial Intelligence and Data Science Engineering

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The department of AI & DS is established in the Academic Year 2021-2022. This is a 4-year degree course approved by AICTE, New Delhi under Savitribai Phule Pune University (SPPU). The department is offering undergraduate programs with an intake of 180 under autonomous status. Artificial Intelligence and Data Science is an emerging interdisciplinary field that integrates scientific methodologies from statistics, cognitive science, and information science. This specialized domain focuses on the development of data-driven solutions, advanced data visualization techniques, and big data analytics. It encompasses the principles of machine learning and deep learning to build intelligent models for addressing complex computational and real-world challenges During the past few years, AI and Data Science have emerged as one of the most high-growth, dynamic, and lucrative careers in technology.

The Bachelor of Technology in Artificial Intelligence and Data Science is a skill-oriented course based on practical and application-based research. It offers a curriculum that is continuously updated to align with the evolving needs of the industry. We have designed our syllabus to strike a balance between professional knowledge and personal skills. Our students engage in projects, workshops, internships and competitions that enhance their practical skills and prepare them for future challenges.

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AI&DS Application Domain

Department Highlights

Pool of Highly qualified and experienced faculty members
Industry collaboration
Industry standard computing labs of Python, Machine Learning, C/C++, Advance Java, Data Analytics, Web Technology, Network, RDBMS, Image processing along with specialized lab in AR-VR
International placements and Internships
Student - Mentor System with more focus on Problem Solving Skill Enhancement
Technical events, Guest lectures, Seminars, Industrial visits,Workshops
Skill Development Programs
Well-equipped laboratories with advance systems, library and modern classrooms equipped with audio-visual aids and with connectivity in college as well as in hostel
Professional mentor to learn Foreign Languages : Japanese and German Language
Design Thinking Innovation Practice for students
Faculty and student participation in National and International Technical events

Vision

Emerge globally as a leading center for Artificial Intelligence and Data Science education, contributing to sustainable development.

Mission

In alignment with the institute’s mission, the AI&DS department is committed to:

M1: Equip students with advanced Artificial Intelligence knowledge for industry- ready skills.
M2: Cultivate a culture of research and entrepreneurship to drive innovation and problem-solving.
M3: Inculcate social and professional values for ensuring holistic development.
M4: Foster a lifelong learning that supports upskilling and global engagement.

Program Educational Objectives (PEOs)

Graduates from our program will:

PEO1: Apply, analyze, and evaluate computing skills for problem-solving.
PEO2: Engage in continuous learning through professional development, certifications, emerging technologies in Artificial Intelligence and Data Science.
PEO3: Demonstrate ethical behaviour, effective communication and leadership skills in diverse environments.
PEO4: Build successful careers in industry or entrepreneurship, demonstrating competence and adaptability in a dynamic global environment.

Programme Outcomes (POs)

A Graduate of the Computer Engineering Program will be able to

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 for complex problems.
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.
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 elective reports and design documentation, make elective 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)

Upon successful completion of the program, graduates will be able to:

PSO1: Demonstrate the ability to understand, apply, and develop fundamental computer programs and AI and Data Science solutions using key concepts such as data analytics, machine learning, deep learning and natural language processing.
PSO2: Develop and implement AI and data-driven models by critically analyzing complex problems, designing effective solutions, and evaluating their impact across diverse real-world applications.
PSO3: Utilize emerging AI and Data Science technologies to innovate, promote entrepreneurial ventures, and develop successful careers in industry and research, while embracing lifelong learning and higher education.