Sharda University

Sharda University

Greater Noida , Uttar Pradesh
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4.1 Ratings
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Private|Estd. 2009|NIRF #101 (Engineering) 2025|NAAC Grade A+

Written By Sneha Ramchandani

Updated on – 13 Oct, 2025

BCA in Artificial Intelligence and Machine Learning at Sharda University

The BCA in Artificial Intelligence and Machine Learning is one of the flagship programs offered by the university's Department of Computer Science and Engineering. This course is meticulously designed to meet the growing demand for skilled professionals in the field of AI and ML.

BCA in AIML Fee Structure

YearAnnual Fee (INR)
1st Year1,80,000
2nd Year1,85,400
3rd Year1,90,962

Eligibility Criteria for BCA in AIML Program

Before applying for the BCA in Artificial Intelligence and Machine Learning at Sharda University, candidates must meet the following eligibility criteria:

Academic Qualifications:

  • Senior Secondary (10+2) with a minimum of 50% marks.
  • Subjects in Class 12th:
    • PCM/PCMB/PCB: Students who have studied Physics, Chemistry, and Mathematics or Biology in their 12th grade are eligible.
    • Commerce or Humanities with Mathematics or IT: Students from the commerce or humanities stream, with mathematics or IT as a subject, are also eligible for the course.

Age Requirement:

There is no specific age limit for this course, but candidates must fulfill the educational requirements to apply.

BCA in AIML Course Structure

The BCA in Artificial Intelligence and Machine Learning is a comprehensive program that integrates core computer science concepts with specialized training in AI and ML technologies. The curriculum has been structured to provide students with a strong foundation in both theoretical and practical aspects of computing and advanced machine learning techniques.

Year 1 – Foundation of Computer Science and Programming

In the first year, students will learn the basics of computer science, programming languages, and mathematical principles. This phase is essential for understanding the technical foundations that form the backbone of AI and ML applications.

SubjectsDescription
Programming in CBasic programming skills in C, covering syntax, logic, and algorithms.
Mathematics for ComputingMathematical concepts like algebra, calculus, and discrete mathematics.
Computer FundamentalsOverview of computer systems, hardware, and software architecture.
Data Structures and AlgorithmsIntroduction to organizing and manipulating data for optimal performance.
Database Management Systems (DBMS)Fundamentals of database systems, relational models, and SQL.
Software EngineeringSoftware development lifecycle, methodologies, and tools.

Year 2 – Advanced Computing and Introduction to AI/ML

In the second year, students will explore advanced topics in computer science while beginning their journey into artificial intelligence and machine learning. The emphasis is on the application of programming skills to solve real-world problems.

SubjectsDescription
Object-Oriented Programming (OOP)In-depth study of OOP concepts using languages like Java and C++.
Operating SystemsConcepts in system management, process control, and resource allocation.
Introduction to Artificial IntelligenceBasic principles and techniques in AI, including search algorithms and decision-making.
Machine Learning FundamentalsIntroduction to ML algorithms, supervised and unsupervised learning.
Computer NetworksUnderstanding networking protocols, models, and communication technologies.
Web DevelopmentBasic web technologies, HTML, CSS, JavaScript, and server-side scripting.

Year 3 – Specialization in AI/ML and Advanced Projects

The final year focuses heavily on AI and ML concepts, equipping students with the tools to implement complex algorithms, create models, and analyze data. The curriculum is designed to help students build AI-based applications and complete projects that demonstrate their mastery of the subjects.

SubjectsDescription
Deep LearningUnderstanding neural networks, backpropagation, and optimization techniques.
Natural Language Processing (NLP)Techniques in understanding and processing human language data.
Big Data AnalyticsWorking with large-scale data processing frameworks like Hadoop and Spark.
AI in RoboticsApplying AI techniques to robotic systems and autonomous devices.
Capstone ProjectA final project that requires students to solve a real-world problem using AI/ML.
InternshipHands-on experience in a professional setting to apply learned skills.

Career Prospects after BCA in AIML

Upon successful completion of the BCA in Artificial Intelligence and Machine Learning, graduates will have a wide range of career options across industries such as software development, data science, robotics, healthcare, and finance. AI and ML professionals are in high demand, and this course provides students with the skills to pursue successful careers.

Potential Job Roles:

  • Machine Learning Engineer
  • Data Scientist
  • AI Researcher
  • Robotics Engineer
  • Data Analyst
  • Software Developer
  • AI Consultant
  • NLP Engineer

Top Hiring Companies:

  • Google
  • Amazon
  • Microsoft
  • Tesla
  • IBM
  • Infosys
  • TCS

The BCA in Artificial Intelligence and Machine Learning at Sharda University is a cutting-edge program that offers students the chance to explore and excel in one of the most dynamic fields of technology. With a solid curriculum, hands-on training, and excellent career prospects, this course offers a great opportunity for students to build a successful career in AI and ML. Whether you aspire to work in software development, data analysis, or AI research, this program can set you on the path to success.

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