BCA with AI

Duration: 4 Years

Industry Partner

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USP: Paid Industry Apprenticeship & Careers

Course Highlights

AI-Focused Curriculum

Industry-Oriented Skills

Hands-on AI Labs

Machine Learning Exposure

Real-World Projects

Internship Opportunities

NEP Flexible Pathways

Strong Career Readiness

Introduction

Designed as per UGC and NEP guidelines, the program integrates core computer applications with advanced Artificial Intelligence concepts to meet current and future industry needs.

Provides a strong foundation in programming, machine learning, data analytics, and intelligent systems, enabling students to build AI-driven applications.

Emphasizes hands-on learning through labs, real-world projects, internships, and industry tools for practical skill development.

Prepares graduates for high-demand careers in AI development, data analytics, automation, and software engineering, along with pathways to higher studies and entrepreneurship.

Tools Covered

Programming & Development:
Python, Java, C / C++

AI & Machine Learning Tools:
Scikit-Learn, TensorFlow, Keras, PyTorch

Data Science & Analytics:
NumPy, Pandas, Matplotlib, Seaborn

Databases & Big Data:
MySQL, MongoDB, PostgreSQL

Cloud & Deployment:
AWS, Google Cloud Platform, Docker

Web & Application Development:
HTML, CSS, JavaScript, Flask / Django

Program Details

  • Students gain strong skills in programming, Artificial Intelligence, machine learning, and data analytics, enabling them to design and deploy intelligent applications.
  • Through hands-on labs, real-world projects, and internships, students develop practical experience with industry-standard tools and technologies.
  • The program builds problem-solving, analytical thinking, and innovation skills, preparing students to work on real industry challenges.
  • Graduates are well prepared for high-demand careers such as AI developer, data analyst, automation engineer, software professional, and intelligent application developer.
  • The course also provides clear pathways for higher studies, professional certifications, and entrepreneurship in the fast-growing AI and digital technology sectors.
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Eligibility

Passed 10+2 examination preferably Mathematics/Statistics / Business Mathematics as one of the subject.
OR
A pass in diploma in Commercial Practice or equivalent.(for students having no Mathematics background has to undergo a compulsory bridge course on Mathematics & related Computer Subject framed by JKU).

Duration

4 Years (8 Semesters)

Tuition Fees

₹ 40,000 per Semester

*Fees such as Admission, Caution Money,
Examination, Hostel, and Transport fees are extra. 

Selection Criteria

Admission will be done on the basis of merit which includes entrance, screening & PI.

Program Outcome

01

Programming Proficiency:

Apply strong programming and computational thinking skills to develop efficient software and AI-based solutions.

02

AI & ML Development

Design, implement, and evaluate Artificial Intelligence and machine learning models for real-world applications.

03

Data Analytics Skills

Analyze and interpret data using analytics and visualization techniques for intelligent decision-making.

04

Tool & Technology Usage

Use industry-standard tools, frameworks, and platforms for AI application development and deployment.

05

Problem Solving & Ethics

Demonstrate critical thinking, problem-solving ability, and ethical awareness in intelligent systems.

06

Teamwork & Communication

Work effectively in multidisciplinary teams and communicate technical solutions clearly.

Course at a Glance

Core Subjects: Programming in C, Python & Java, Data Structures & Algorithms, Database Management Systems, Operating Systems, Software Engineering, Computer Networks

Specialized Areas: Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics & Visualization, Natural Language Processing, Intelligent Systems

Skill Training: Python & AI Frameworks, Hands-on Labs & Mini Projects, Real-Time Industry Projects, Internships & Skill Certifications

Outcome: Python & AI Frameworks, Hands-on Labs & Mini Projects, Real- Time Industry Projects, Internships & Skill Certifications

Career Opportunities

  • AI Developer
  • Machine Learning Engineer
  • Data Analyst
  • Junior Data Scientist
  • Intelligent Application Developer
  • Automation Engineer
  • Software Developer / Programmer
  • Business Intelligence Analyst
  • AI Support & Testing Engineer
  • Cloud & AI Associate

Leading Job Sectors

  • Private & Global Tech- Google, Microsoft, Amazon (AWS, Alexa AI), IBM, Oracle, NVIDIA, Meta (Facebook AI Research), Samsung Research
  • IT Services & Consulting Companies- Tata Consultancy Services (TCS), Infosys, Wipro, Accenture, Cognizant, Capgemini, HCL Technologies

Public Sector & Government Organizations

  • DRDO (Defence Research & Development Organisation)
  • ISRO (Indian Space Research Organisation)
  • NIC (National Informatics Centre)
  • BEL (Bharat Electronics Limited)
  • CDAC (Centre for Development of Advanced Computing)
  • BHEL (Bharat Heavy Electricals Limited)
  • NABARD – Data Analytics Division
  • Ministry of Electronics & IT (MeitY)
  • PSUs adopting AI automation (ONGC, NTPC, GAIL)
  • State and Central Government Smart City Projects

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