Vision & Mission

Shaping Future Leaders in AI & Machine Learning
Our Vision
To develop engineers well versed with Critical Theory and Practicals (problem solving ability); and sensitive to National and Global challenges from Inter-disciplinary perspective. To create Industry ready; socially and ethically strong professionals.
Our Mission
  • To develop the Computer Professionals by imparting computer engineering knowledge with professional ethics
  • To provide the service to the communities to which we belong at local and national levels, combined with a deep awareness of our ethical responsibilities to our profession and to society

Program Outcomes

At the end of program, students should be able to:

1
Engineering Knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2
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.
3
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 public health, safety, cultural, societal, and environmental considerations.
4
Conduct Investigations
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
5
Modern Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with understanding of limitations.
6
The Engineer and Society
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
7
Environment and Sustainability
Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of, and need for sustainable development.
8
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
9
Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10
Communication
Communicate effectively on complex engineering activities with the engineering community and society at large, including writing effective reports, design documentation, presentations, and clear instructions.
11
Project Management and Finance
Demonstrate knowledge and understanding of engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects in multidisciplinary environments.
12
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.

Program Educational Objectives

Program Educational Objectives (PEOs) for B.Tech in Artificial Intelligence & Machine Learning:

1
To provide students with knowledge and skills to become leading experts in the field of computer science engineering.
2
To provide an innovative and comprehensive curriculum that integrates theoretical knowledge with practical experience, research opportunities, and professional development.
3
To groom the student's overall personality for professional growth.
4
To inculcate values and ethics among the students and making them aware about their social commitments.

Program Specific Outcomes

At the end of program, students should be able to:

1
Technical Integration
Use knowledge to write programs and integrate them with hardware/software products in the domains of artificial intelligence systems, data science, networking and web technology.
2
Professional Implementation
Participate in planning and implement solutions to cater to business specific requirements, displaying team dynamics and professional ethics.

Career Pathways

Graduates of CSE (AI & ML) at PCU are equipped for diverse global careers across IT, research, healthcare, finance, robotics, cybersecurity, and entrepreneurship.

Core Technical Roles
  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist / Analyst
  • Deep Learning Specialist
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
Interdisciplinary Careers
  • Healthcare AI Specialist
  • Financial AI Analyst
  • Cybersecurity Analyst (AI-based)
  • Robotics & Automation Engineer
  • Autonomous Systems Developer
  • Smart City & IoT Innovator
Business & Leadership Roles
  • AI Product Manager
  • Business Intelligence Developer
  • AI Consultant
  • Entrepreneur / Start-up Founder
Research & Academic Pathways
  • AI Research Scientist
  • Higher Studies (M.Tech, MS, Ph.D. in AI/ML)
  • Academician / Faculty in AI & ML
  • AI Policy & Ethics Specialist