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Program Details

  • Undergraduate
    PROGRAMME LEVEL
  • English
    LANGUAGE
  • 4
    YEAR PROGRAM
  • 8
    SEMESTER

About the Program

The B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sanskaram University is a comprehensive undergraduate program designed to equip students with in-depth knowledge and skills in AI and ML technologies. The curriculum covers foundational subjects in computer science and specialized courses in algorithms, data structures, neural networks, deep learning, and natural language processing. Emphasizing hands-on learning, the program includes practical labs, projects, and internships, preparing graduates for successful careers in AI and ML across various industries.

Eligibility

Candidate should have passed 10+2 examination conducted by CBSE or equivalent examination from a recognized board with Physics, Mathematics as compulsory subjects along with one of the following subjects i.e. CS/Chemistry/Biotech with a minimum 45% marks in aggregate.

Fee Structure

Program Fees (Per Annum)1,90,000
Security Fees (One Time, Refundable) 10000
Prospectus (One Time, Non Refundable) 1000
Alumni Fees (One Time, Non Refundable) 2000

Program Outcomes

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and computer science principles to solve complex problems in the field of Artificial Intelligence and Machine Learning.

Problem Analysis: Identify, formulate, research, and analyze complex AI and ML problems, reaching substantiated conclusions using principles of computer science, mathematics, and engineering sciences

Design and Development of Solutions: Design solutions for complex AI and ML problems and design systems, components, or processes that meet the specified needs with appropriate consideration for public health, safety, and environmental factors.

Modern Tool Usage: Select and apply appropriate techniques, resources, and modern tools in AI, Machine Learning, and related technologies to complex engineering activities with an understanding of their limitations.

Program Educational Objectives

Core Competence in AI and ML: Graduates will possess a strong foundation in computer science and engineering principles, with specialized expertise in Artificial Intelligence and Machine Learning, enabling them to design, develop, and optimize intelligent systems and applications.

Problem-Solving and Innovation: Graduates will be able to effectively analyze, model, and solve complex problems in real-world scenarios using AI and ML tools and techniques, fostering creativity and innovation in their professional careers.

Professionalism and Ethical Responsibility: Graduates will demonstrate professional ethics, leadership, and teamwork skills, along with an understanding of social, economic, and environmental considerations while developing AI-based solutions