B.Tech.(CSE-AI & DS)

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING – ARTIFICIAL INTELLIGENCE & DATA SCIENCE
IIMT Engineering College, Meerut
PROGRAM DETAIL
PO'S/PEO'S/PSO'S
ELIGIBLITY
CURRICULUM
FEES
LABS
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FACULTY
Department Of Computer Science & Engineering– ArtifictalL Intelligence & Data Science

Department of Computer Science was established in the year 2001 with the objective of imparting quality education in the field of Computer Science Engineering. The college started with an initial intake capacity of 60 seats/year which gradually increased to 120 seats per year.
  Department of Computer Science is a center of academic excellence, experiential learning, design thinking and research & development in key segments of Computer Science. The department has smart classrooms, modern well-equipped labs, seminar hall partnered with highly qualified and experienced faculties having expertise in different computer domains. The department aims at becoming the Centre of Excellence by providing education and consultation of international standards in the field of computer science and thus targets to produce globally competent and self disciplined computer engineers.

Message from the Head of Department

Welcome to the Department of Computer Science and Engineering (CSE-AI & Data Science), where innovation meets excellence. Our mission is to equip students with cutting-edge knowledge and hands-on experience, preparing them to become pioneers in the fields of Artificial Intelligence and Data Science.

  Our Artificial Intelligence & Data Science program integrates AI-driven decision-making with analytical expertise, enabling students to extract meaningful insights from large datasets using advanced AI algorithms, data mining, and predictive modeling. This curriculum empowers students to design intelligent systems that drive innovation across industries, preparing them for impactful careers in AI research, data analytics, and AI applications.

  The Artificial Intelligence program delves deep into the world of intelligent systems, covering machine learning, neural networks, natural language processing, and computer vision. Students acquire a robust foundation in AI technologies, developing industry-relevant solutions to solve real-world challenges.

  Join us in redefining the future of technology through AI and Data Science.

Our Commitment

We are dedicated to fostering technological innovation and academic excellence in Artificial Intelligence and Data Science. Our programs are designed to provide a balanced blend of theoretical knowledge and practical expertise, preparing students to become future leaders in AI-driven industries. Through rigorous research, creative exploration, and ethical AI practices, we empower students to tackle complex, real-world challenges and drive transformative change in society.

Our Vision

Our vision is to be a globally recognized center of excellence in AI and Data Science education. We emphasize collaboration, interdisciplinary research, and real-world applications, producing graduates who lead transformative advancements across industries such as healthcare, finance,robotics, cybersecurity, automation, and beyond. Our ultimate goal is to leverage AI and Data Science for sustainable innovation and societal impact.

Our Mission
    The mission of the Artificial Intelligence & Data Science Department is to cultivate innovation and excellence in AI and Data Science. We aim to provide a comprehensive and interdisciplinary education that equips students with the expertise to lead in AI-driven technologies. Our core objectives include:
  • Driving research excellence in AI and Data Science
  • Inspiring creativity and innovation in AI solutions
  • Promoting ethical and responsible AI practices
  • Equipping students to solve real-world technological challenges
Program Educational Objectives (PEO)

PEO-1: Analytical Proficiency: Graduates will develop expertise in problem-solving, critical thinking, and decision-making, enabling them to address computational challenges in real-world applications.
PEO-2: Technical Excellence: Graduates will be equipped with cutting-edge technical skills, preparing them for immediate industry deployment, advanced certifications, higher education, and research
PEO-3: - Leadership & Communication: Graduates will excel in communication, teamwork, leadership, and career management, fostering professional growth and industry readiness
PEO-4: Ethical & Professional Responsibility Graduates will demonstrate a strong commitment to ethical standards, professional conduct, and technological adaptability in AI and Data Science. ________________________________________

Program Outcomes (POs)

PO-1:Core Engineering Knowledge:Applying fundamental principles of mathematics, science, and engineering to solve complex AI-driven challenges.
PO-2:Advanced Problem-Solving:Identifying, analyzing, and formulating solutions for complex computational problems through research-driven methodologies
PO-3:Innovative System Design: Designing and implementing state-of-the-art AI solutions while ensuring safety, ethics, and societal impact.
PO-4:Industry-Relevant Research: Engaging in research methodologies, data analysis, and experimental investigations to provide innovative and practical AI solutions.
PO-5:Modern Technological Proficiency: Utilizing advanced tools, programming languages, and AI frameworks to develop scalable applications.
PO-6:Societal & Ethical AI Integration: Assessing the societal, environmental, and ethical implications of AI applications.
PO-7:Sustainability & Environmental Awareness Promoting AI-driven innovations for sustainable development and global impact.
PO-8:Professional Ethics & Responsibility: Upholding industry standards, ethical AI practices, and responsible innovation.
PO-9:Teamwork & Interdisciplinary Collaboration: Functioning effectively in team-driven and cross-functional environments.
PO-10: Effective Communication: Developing expertise in technical documentation, AI presentations, and stakeholder engagement.
PO-11:AI Project Management & Finance: Applying business and financial acumen in managing AI-driven projects.
PO-12: Lifelong Learning: Engaging in continuous learning to adapt to evolving AI technologies and industry advancements.

Program Specific Outcomes
Upon successful completion of the program, graduates will::
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PSO-1: Attain a comprehensive understanding of computing systems and apply this knowledge to develop innovative AI and data-driven solutions.
PSO-2: Master programming languages, software development methodologies, and system analysis, enabling them to design, test, and deploy scalable AI solutions across industries.

Faculty Profile
S.NO Faculty Name Highest Qualification Experience Email
1. Dr. Vandana Agarwal (Head) Ph.D. (Mathematics), M.Tech., MCA 23 Years hod_ai_ds_127@iimtindia.net
2. Mr. Navnish Goel (Asst. Prof.) M.Tech 22 Years navnishgoel_cse@iimtindia.net
3. Ms. Jolly Sharma (Asst. Prof.) M.Tech 5 Years jollysharma_cse_127@iimtindia.net
4. Mr. Bhramreshwar Jha (Asst. Prof.) MCA 20 Years bhramreshwarjha_cse@iimtindia.net
5. Ms. Sonia (Asst. Prof.) M.Tech 3 Years soniya_cse@iimtindia.net
Eligibility
Programme Duration Eligibility
B.Tech CSE-AI & AI with Data Science 4 Years

Admission Criteria:
Candidates must have completed 10+2 (Intermediate) from UP Board or an equivalent board with Physics and Mathematics, along with Chemistry / Bio-Technology / Computer Science / Biology as a subject. Admission is granted through an Entrance Examination.