[BCA – AI/ML] Artificial Intelligence & Machine Learning

The B.C.A. in AI/ML at Poornaprajna College is a cutting-edge professional program designed to prepare students for the fourth industrial revolution. This specialization moves beyond traditional computing to focus on creating intelligent systems that can learn, adapt, and make decisions. Leveraging the college’s robust ICT infrastructure and its growing focus on advanced research, the curriculum covers essential areas such as neural networks, data mining, and predictive analytics. Students are trained to use sophisticated software environments to build models that solve real-world problems, from natural language processing to computer vision.

Duration & Requirements:

  • Duration: 3 years (6 semesters)
  • Requirements: Candidate should have passed PUC with any subjects.
View the Prospectus. For Fee Structure and any other details, Contact Us

Subjects / Courses:

The BCA program  involves study of the core 3 subject (one paper each) for the first 4 semesters along with other mandatory and elective subjects. These non-core subjects would be  English, Languages (Kannada / Hindi / Sanskrit) and others.

Visit the Computer Science department to explore the syllabus and the links below for general subjects’ syllabus. The Library page also hosts the link to all Subject Syllabus.

Core:

  • Computer Subject 1
  • Computer Subject 2
  • Computer Subject 3
  • Computer Subject 4
  • Computer Subject 5
  • Computer Subject 6
  • English – 1 paper each for first 4 semesters.
  • Language – 1 paper from a language of choice [ Kannada / Hindi / Sanskrit ] for first 4 semesters.
  • General Education – 1 paper per semester.

Career Options

Graduates specializing in AI/ML possess one of the most high-demand skill sets in the modern global economy:

  • Machine Learning Engineer: Designing and implementing scalable ML algorithms and predictive models for tech giants and startups.

  • AI Data Analyst: Interpreting complex datasets using machine learning tools to provide actionable business intelligence.

  • NLP Specialist: Developing systems that understand human language, such as chatbots, translation tools, and voice assistants.

  • Computer Vision Engineer: Working on technologies for facial recognition, medical imaging, and autonomous vehicle navigation.

  • Data Scientist: Applying advanced statistical and computational techniques to extract insights from massive “Big Data” repositories.

  • AI Consultant: Advising organizations on how to integrate artificial intelligence into their existing workflows to improve efficiency.

  • Research and Development: Pursuing postgraduate studies to engage in high-level research in fields like robotics, cognitive computing, or solar data analysis.