Bachelor of Computer Application – AI & ML –in association with Microsoft CloudThat

Duration4 Years

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Course Fee7.10 Lakhs

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Bachelor of Computer Application – AI & ML –in association with Microsoft CloudThat

The BCA in Artificial Intelligence & Machine Learning is a future-oriented undergraduate program designed to build expertise in intelligent computing systems that can learn, adapt, and make decisions.

The program integrates core computer science fundamentals with advanced topics such as machine learning algorithms, deep learning, neural networks, natural language processing, and computer vision. Students gain a strong foundation in programming (Python, Java), data structures, and algorithms, along with specialized AI frameworks such as TensorFlow, Keras, and PyTorch. The curriculum emphasizes experiential learning through lab-based sessions, industry projects, and real-world problem-solving.The program also focuses on developing analytical thinking, mathematical modeling, and the ability to design AI-driven applications across domains like healthcare, finance, smart cities, and automation. Ethical AI, explainable AI, and responsible use of technology are also integrated into the curriculum to ensure socially responsible professionals. Graduates of this program will be capable of designing intelligent systems, building predictive models, and contributing to the growing AI ecosystem globally.

 
Program Specific Outcomes (PSO)
PSO 01

To learn the concepts of computer science and applications such as operating systems, computer networks, computer organization and architecture, DBMS, and data structures that meet the desired needs of industry and society.

PSO 02

To analyze their abilities in systematic planning, developing, testing, and executing complex computing applications in the field of social media and analytics, web application development and data interpretations, and machine learning and data analytics for providing solutions to computational problems.

PSO 03

Graduates would expertise in successful careers based on their understanding of formal and practical methods.

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Programme Outcomes (PO)

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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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.

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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.

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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.

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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.

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Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

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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.

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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.

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Curriculum Details

Course Code Course Title L T P Credits
MAT1705 Basic Mathematics 3 1 0 4
CAP1005/CAP1005L Problem solving and programming through C 3 0 2 4
CAP1004/CAP1004L Introduction to IT 3 0 2 4
VAC001 Design Thinking 2 0 0 2
COM1515 Contemporary English Skills 2 0 0 2
CAI1012 Machine Learning Industry vertical 2 0 0 2
FIN1799 Basics of Financial Management 3 0 0 3
CAP1502L PC Software Lab/Engineering Workshop 0 0 2 1
Total Credits 22

Course Code Course Title L T P Credits
CAP2702 Computer System Architecture 3 0 0 3
CAI1009/CAI1009L Mathematics for Machine Learning (2L and 2P) 2 0 2 3
CAP2007/ CAP2007L Principles of Operating Systems 3 0 2 4
CAP2001/ CAP2001L Data Structure using C 3 0 2 4
LAW3702 Constitution Of India 3 0 0 3
COM1521 Communication Skills and Ability Enhancement 2 0 0 2
VAC002 Innovation ,Entrepreneurship and Sustainability 1 0 2 2
Total Credits 21

Course Code Course Title L T P Credits
CAP2017/CAP2017L Introduction to Object Oriented Concepts Using Java 3 0 2 4
CAP2002/ CAP2002L DBMS with NOSQL 3 0 2 4
IDP1 3 0 0 3
CAP3004/CAP3004L Artificial Intelligence 3 0 0 3
CAP2018/CAP2018 Design and Analysis of Algorithm 2 0 2 3
HUM2790 Essense of Indian Traditional Knowledge 3 0 0 3
COM2521 Academic Writing 2 0 0 2
Total Credits 21

Course Code Course Title L T P Credits
CAP2005/ CAP2005L Software Engineering Fundamentals 3 0 0 3
CAP2309/CAP2309L Discrete Mathematical Structures through Python 3 0 2 4
ITL 1001 Computer Networks 2 0 2 3
CAI1007 Basics of Machine Learning 2 0 1 3
CAI1010/CAI1010L IDP2 3 0 0 3
COM2525 Work Place Communication 2 0 0 2
ENV1702 Environmental Studies 3 0 0 3
Total Credits 21

Course Code Course Title L T P Credits
CAP3702 Theory of Computation 3 1 0 4
CAP3012/CAP3012 Data Warehousing and data mining 3 0 2 4
DE1 3 0 0 3
CAP2016 Full Stack Development 3 0 2 4
CAP3703 Research Methodology 2 0 0 2
CAI1011/CAI1011L Implementing AI solution on Microsoft Azure 2 0 4 3
Total Credits 20

Course Code Course Title L T P Credits
CAP3013/CAP3013L ANN 3 0 2 4
DE-2 3 0 0 3
CAP3701 Cloud Computing 3 0 2 4
DE-3 3 0 0 3
CAP3014/CAP3014L Natural Language Processing 3 0 2 4
Total Credits 18

Students will be doing Summer Internship During this period
Course Code Course Title L T P Credits
CAP 4014/CAP 4014L Deep Learning 3 0 2 4
CAP3804 Optimization Techniques 3 0 0 3
CAP4015/CAP4015 Cryptography and Network Security 3 0 2 4
CAP2015/CAP2015L Data Visualization using R 2 0 2 3
Summer Internship 0 0 0 3
CAP4503 Project Phase 1 3 0 0 3
Total Credits 20

Students will be doing Summer Internship During this period
Course Code Course Title L T P Credits
CAP3702 Social Network Analysis 3 0 0 3
DE-4 3 0 0 3
CAP 4504 Project Phase 2 10
Total Credits 20

Bucket for BCA_AIML

Course Code Course Title L T P Credits
Machine Learning Industry vertical 2 0 0 2
Mathematics for Machine Learning (2L and 2P) 2 0 2 3
Basics of Machine Learning 2 0 1 3
Implementing AI solution on Microsoft Azure 2 0 4 3
Natural Language Processing 3 0 2 4
Total Credits 15

Course Code Course Title L T P Credits
CAP2703 Introduction to Enterprise Resource Planning 3 0 0 3
CAP2711 Internet of Things 3 0 0 3
CSE2733 Blockchain Technologies 3 0 0 3
CSE3709 Real Time Systems 3 0 0 3
CSE2720 Distributed Systems 3 0 0 3
CSE2721 Image Processing 2 0 2 3
CSE2711 High Performance Computing 3 0 0 3
CSE2715 Cloud Virtualization 3 0 0 3
CSE2716 Graph Data Analytics 3 0 0 3
CSE2710 Mobile Application Development 2 0 2 3
CAP3805 Generative AI 3 0 0 3
CSE2717 Cloud Application Development 3 0 0 3
Total Credits 36

Course Code Course Title L T P Credits
CAP2706 E-Governance 3 0 0 3
ITL3701 Simulation Techniques 3 0 0 3
ITM 2761 Marketing In Digital World 3 0 0 3
ENP2763 Entrepreneurship Development 3 0 0 3
Total Credits 12
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Career Path

career-path
  • AI Engineer
  • Machine Learning Engineer
  • Data Analyst / Scientist
  • NLP Engineer
  • Robotics Engineer
  • Software Developer (AI-based systems)

Fee Structure

Yearly
1st Year 2nd Year 3rd Year 4th Year
₹2,00,000 ₹1,70,000 ₹1,70,000 ₹1,70,000
Semester Wise
1st Sem 2nd Sem 3rd Sem 4th Sem 5th Sem 6th Sem 7th Sem 8th Sem
₹1,15,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000 ₹85,000

Admission Requirement

Passed the XII standard from any recognized Education Board with a minimum of 50% marks and English as a compulsory subject.

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