Bachelor of Technology in Artificial Intelligence and Data Science

Approved by AICTE, Permanently Affiliated to Savitribai Phule Pune University,
4th Time NBA Accredited, NAAC 'A+' Grade, ISO 21001:2018 - EOMS Certified
'Best College Award' by SPPU, Pune for academic year 2020-21

Bachelor of Technology

Artificial Intelligence and Data Science | B.Tech (AI&DS)

The Artificial Intelligence (AI) and Data Sciencewas established in 2023 with an initial intake of 60 students, which was increased to 120 in the academic year 2024–2025 .

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Infrastructure and Resources

1. The Department is supported by advanced infrastructure facilities and highly qualified, experienced faculty members.

2. The department has modern laboratories equipped with the latest software, hardware, AI tools, data analytics platforms, and high-speed internet facilities that meet current industry standards.

3. Students receive comprehensive training in programming, artificial intelligence, machine learning, data analytics, and real-world applications through practical sessions, mini-projects, workshops, and industry-oriented learning activities.

Key Information

Why Students should Choose Amrutvahini- Artificial Intelligence and Data Science

Artificial Intelligence and Data Science (AI&DS) is a rapidly growing field that is transforming industries and creating highly paid career opportunities worldwide.

  • Future-Oriented and High-Demand Career:AI&DS is one of the fastest-growing and most demanded fields, offering excellent career opportunities in industries such as healthcare, banking, IT, e-commerce, cybersecurity, and automation.
  • Opportunity to Work with Advanced Technologies:Students learn emerging technologies like Artificial Intelligence, Machine Learning, Data Analytics, Robotics, and Automation, which are shaping the future world.
  • Excellent Career Growth and Salary Packages:AI&DS professionals are highly valued globally and receive attractive salary packages, job security, and opportunities to work with multinational companies.
  • Practical, Innovative, and Skill-Based Learning:The branch focuses on programming, problem-solving, real-world applications, project-based learning, and development of intelligent systems and smart solutions.
  • Wide Scope for Higher Studies, Research, and Innovation:AI&DS provides strong opportunities for higher education, research, entrepreneurship, and contribution to future technological advancements.

Vision & Mission:

Vision:

  • To empower learners to become experts in Artificial Intelligence and Data Science through persistent excellence in learning and fostering innovations in a rapidly evolving technological world.

Mission:

  • M1: To prepare graduates for successful careers in Artificial Intelligence and Data Science through a continuous process of learning and creating opportunities in AI world.
  • M2: To cultivate innovations, ethical responsibilities and interdisciplinary collaborations among the students to address real-world problems and contribute to the betterment of society.
  • M3: We, the faculty and the staff strive hard to strengthen students with the strong academic background, experiential learning, effective communication skills, self-discipline and moral values to thrive in the ever-challenging computing world.

Infrastructure:

 
 
Sr. No. Type No. of Rooms Seating Capacity (Number) Area (Sq. M)
Instructional Area
1. Classrooms 02 70 136.66
2. Laboratories 05 140.00 389.20
Admin Area
1. HOD Cabin/ Office 01 10 32.90
2. Faculty Rooms (Other than Lab Seating) 01 05 140.00
TOTAL 698.76

Laboratories

1. Laboratory Details (UG):

Sr. No. Lab. Name Area (Sq .M) Laboratory Cost (Rs.)
1. IOT Lab 80.00 sq.m 27,44,749
2. Software Lab-I 74.60 sq.m 20,16,196
3. Software Lab-II 74.60 sq.m 19,83,687
4. CCF Lab 1 80.00 Sq.m. 46,64,788
5. CCF Lab 2 80.00 Sq.m. 38,93,546
Total 17,119,340

2. List of Major Equipment:

Sr. No Equipment Quantity (Number) Amount (Rs.)
1. Computers 195 37181340
2. Smart TV 01 112000
3. Printers 3 46,020
4. DLPs and LCD Projector 3 84,543
5. UPS 03 2,85,000
Total 37708903

Faculty/Student List


Sr.No. Academic Year Details
1. 2025-2026 Read More
2. 2024-2025 Read More

Sr.No. Class Details
1. SE - A Read More
2. SE - B Read More
3. TE - A Read More
4. TE - B Read More
5. BE Read More

Syllabus


Sr. No. 2019 Course 2024 Course 2025 Course
1. FE Common FE(Common) FY.BTech (Common)
2. SE AI&DS SE AI&DS
3. TE AI&DS
4. BE AI&DS

Programme Outcomes

Program Educational Objectives(PEO's):

  • PEO1. To develop competent graduates with a strong foundation in Artificial Intelligence and Data Science methodologies and algorithms, capable of solving complex real-world problems by applying appropriate modern tools and techniques to design and develop effective solutions.

  • PEO2. To exhibit leadership qualities of graduates by successfully guiding teams, managing projects, and leveraging communication skills to create a positive impact on organizations and society.

  • PEO3. To adopt a lifelong learning approach by consistently enhancing knowledge and skills to remain at the forefront of the rapidly evolving field, while adapting to new technologies, addressing challenges with environmentally sustainable solutions, and upholding ethical practices.

Program Specific Outcomes(PSO's)

A graduate of the Computer Engineering Program will demonstrate-

  • PSO1: Professional Skills-The ability to understand, analyse and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity to cope up with today's industry requirements.

  • PSO2: Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.

  • PSO3: Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.

Program Outcomes(PO's):

Students are expected to know and be able –

  • 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.
  • Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • 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).
  • 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)
  • 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)
  • 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)
  • Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • 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.
  • 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.
  • 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)
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