Department Profile

The BCA with Cognitive Systems (powered by TCS) program is an industry-integrated undergraduate program that focuses on Artificial Intelligence, Machine Learning, Data Science, Cloud, and Cognitive Computing. The collaboration with Tata Consultancy Services (TCS) ensures hands-on training, certifications, and employability opportunities. The curriculum is aligned with NEP 2020 and NCrF, offering multi-exit options at Certificate, Diploma, and Degree levels.

About Us

About Us – BCA (Cognitive Systems powered by TCS):


The Department of Bachelor of Computer Applications (BCA) at Sanjivani University is dedicated to excellence in education, innovation, and industry-integrated learning. The department offers the BCA in Cognitive Systems (powered by TCS) program, a unique collaboration with Tata Consultancy Services, designed to equip students with the latest skills in Artificial Intelligence, Machine Learning, Cognitive Computing, Cloud Technologies, and Data Analytics.


We aim to develop students into industry-ready professionals who can apply computational thinking and intelligent systems to solve real-world problems. Through a perfect blend of theory and practice, the department prepares graduates to lead the next generation of digital transformation.


Our faculty members are accomplished educators and researchers with expertise in Cognitive Systems, Software Engineering, Data Science, and Emerging Technologies. They bring valuable experience from both academia and the IT industry, ensuring that students receive a comprehensive and practical education aligned with modern technological advancements.


Programs Offered


Undergraduate Program:


BCA (Cognitive Systems powered by TCS) Features of the Department


  • TCS-Powered Curriculum: Developed in collaboration with Tata Consultancy Services, ensuring direct alignment with industry standards and exposure to real-world business challenges.


  • Skill Integration: Focused on building competencies in AI, ML, Cloud Computing, and Cognitive Analytics.


  • Career Development: Continuous guidance through industry projects, certification courses, and internships.


Research Areas


Our research and innovation initiatives cover:


  • Cognitive Computing and Intelligent Systems
  • Machine Learning and Data Analytics
  • Cloud and Edge Computing
  • AI for Social Good and Business Intelligence


Facilities and Labs


The department is equipped with state-of-the-art labs and facilities such as:


  • AI & Machine Learning Lab
  • Cognitive Computing Lab
  • Data Science & Analytics Lab
  • Cloud and Virtualisation Lab


Industry Collaboration and Placement:


Through the TCS collaboration, students benefit from industry-certified modules, project mentoring, and placement opportunities with top technology firms. The department also partners with other IT organizations for internships, hackathons, and real-world projects.


Faculty


Our faculty members are passionate mentors, experienced professionals, and active researchers who continually enhance their skills to stay current with evolving technologies.


Student Life


The department provides a vibrant academic and co-curricular environment that encourages innovation, teamwork, and personal growth. Students actively participate in:

Workshops, Seminars, and Guest Lectures by Industry Experts


  • Coding Competitions and Hackathons
  • Research and Innovation Challenges
  • Tech Fests and Interdisciplinary Events


Join us at Sanjivani University and be part of a forward-thinking community where technology meets creativity and learning meets innovation.

Vision & Mission

Vision:


  • To be globally recognised for excellence in Cognitive Computing and Intelligent Systems by developing ethical, innovative, and industry-ready professionals who drive technological progress and contribute positively to society.

Mission:


  • To develop cognitive computing expertise through Intelligent Systems, Machine Learning, and emerging technologies.
  • To bridge academia and industry through experiential learning and real-world projects.
  • To nurture research and innovation by promoting interdisciplinary collaborations at national and international levels.
  • To instill ethical and responsible practices while empowering students with leadership and entrepreneurial skills.

Program Outcomes

Program Outcomes (POs):


  • PO1: Apply knowledge of computing, mathematics, and domain fundamentals to solve complex computing problems.


  • PO2: Identify, formulate, and analyze computing requirements to provide effective solutions.


  • PO3: Design, implement, and evaluate computer-based systems to meet desired needs.


  • PO4: Use research-based knowledge to conduct experiments and interpret data for complex problem-solving.


  • PO5: Create, select, and apply modern computing tools and technologies in professional practice.


  • PO6: Apply reasoning to assess societal, health, safety, and cultural issues relevant to professional computing practice.


  • PO7: Understand the environmental impact of computing solutions and demonstrate sustainability awareness.


  • PO8: Apply ethical principles and commit to professional ethics and responsibilities.


  • PO9: Function effectively as an individual, team member, or leader in multidisciplinary environments.


  • PO10: Communicate effectively with diverse audiences, writing technical reports and making presentations clearly.


  • PO11: Demonstrate knowledge of project management and finance principles while managing computing projects.


  • PO12: Recognize the need for lifelong learning and engage in continuous professional development.

Program Specific Outcomes (PSOs)

Program Specific Outcomes (PSOs)


PSO1: Apply principles of cognitive computing, artificial intelligence, and data science to design and develop intelligent systems.


PSO2: Utilize programming, analytical, and problem-solving skills to provide innovative solutions in cognitive and data-driven industries.

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs):


  • PEO1: Graduates will possess a strong foundation in computer science and cognitive systems, enabling them to analyze, design, and develop intelligent computing solutions.


  • PEO2: Graduates will demonstrate professional competence, effective communication, teamwork, and leadership in their chosen careers.


  • PEO3: Graduates will continuously upgrade their technical knowledge through lifelong learning and adapt to rapidly changing technologies.


  • PEO4: Graduates will uphold ethical values and contribute meaningfully to society and sustainable development.
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Sanjivani University, Kopargaon, Near Shirdi, Ahilyanagar (Ahmednagar), 423601.

contact@sanjivani.edu.in

+91 9130191301

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