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Programme Details

BCA in Artificial Intelligence

The Bachelor of Computer Applications in Artificial Intelligence (BCA AI) is an undergraduate program focused on computer applications, machine learning, data science, neural networks, automation, and intelligent systems. The course helps students develop programming, analytical, and problem-solving skills required for modern AI-driven industries. It combines theoretical concepts with practical learning through projects, labs, and real-world applications.

Programme Overview

Programme Code BCAAI
Programme Type Graduate Programme
Department Department of Computer Science And Information Technology
Duration 3 Years / 4 Years Hons.
Fee Per Year 39000
Eligibility 50% (45% for SC/ST) Marks in 10+2 or equivalent examination from a recognized board.

Available Programme Options

This course is available in regular and advanced academic pathways. Students can choose the plain programme, honours programme, or honours with research option based on their academic goals.

Plain + Honours Available
Plain

BCA in Artificial Intelligence

Duration3 Years
Fee Per Year39000
Eligibility50% (45% for SC/ST) Marks in 10+2 or equivalent examination from a recognized board.

Regular programme option for students who want to complete the standard course duration.

Honours

BCA in Artificial Intelligence (Hons.)

Duration4 Years
Fee Per Year39000
Eligibility50% (45% for SC/ST) Marks in 10+2 or equivalent examination from a recognized board.

Advanced option with extended academic learning and deeper subject specialization.

Honours with Research

BCA in Artificial Intelligence (Hons. with Research)

Duration4 Years
Fee Per Year39000
Eligibility50% (45% for SC/ST) Marks in 10+2 or equivalent examination from a recognized board.

Research-focused option for students interested in academic projects, research work, and higher studies.

Career Path

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Data Scientist
  • Software Developer
  • AI Application Developer
  • Business Intelligence Analyst
  • Python Developer
  • Cloud Support Associate
  • Cybersecurity Analyst
  • Robotics Programmer
  • NLP Engineer
  • Web & App Developer
  • Research Assistant in AI & Data Science
  • IT Consultant

Programme Outcomes

1. Strong Programming & Software Development Skills

Students will develop strong programming knowledge and software development skills using modern programming languages, frameworks, and development tools required in the IT industry.

2. Understanding of Artificial Intelligence & Machine Learning

The program helps students understand the core concepts of Artificial Intelligence, Machine Learning, and intelligent systems used in modern technologies and automation.

3. Real-World Problem Solving & Data Analysis

Students will learn to analyze data, identify problems, and apply logical and analytical approaches to solve real-world business and technology challenges.

4. Development of Intelligent Applications

Learners will gain the ability to design, develop, and implement intelligent applications, automated systems, and AI-based solutions for various industries.

5. Knowledge of Cloud Computing & Cybersecurity

The course provides foundational knowledge of cloud computing, databases, networking, and cybersecurity practices essential for modern computing environments.

6. Teamwork & Project Management Skills

Students will learn to work collaboratively in teams, manage technical projects professionally, and adapt to organizational and industry requirements.

7. Data Interpretation & Decision-Making

The program enables students to analyze large datasets and generate meaningful insights that support informed business and technological decision-making.

8. Ethical Use of Artificial Intelligence

Students will understand ethical standards, data privacy, security concerns, and responsible practices related to Artificial Intelligence technologies.

9. Communication & Leadership Development

The course enhances communication, presentation, leadership, and interpersonal skills necessary for professional growth and career success.

10. Career & Higher Education Readiness

Graduates will be prepared for higher studies, research opportunities, entrepreneurship, and successful careers in Artificial Intelligence, Data Science, and the IT industry.

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