Apply UG

Apply PG

Bachelor of Computer Application (BCA) with Specialisations

Artificial Intelligence in collaboration with Futurense Technologies


The minimum qualification required is a pass in the 10+2 Science or Commerce with Maths/Statistics/Computer Science/Information Practice as one of the core subjects in PUC / ISC / CBSE or an equivalent board. A course recognized as equivalent thereto by the University.


BCA - Computer Science (Artificial Intelligence) will enable you to be ready for Industry 4.0 emerging and exponential technologies. The course is industry-integrated with Futurense Technologies Industry 4.0 certifications in Artificial Intelligence and delivered using project-based learning leading to internships and career opportunities with MNCs. Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think like the human mind and perform functions like perceiving, learning, and problem-solving. AI has become a crucial part of our human lives today and is at our disposal throughout the day, even if we do not realize it. To give just a few instances, AI is in the background every time we do a Google search, book a trip online, receive a product recommendation from Amazon, or open our Facebook newsfeed. Today, AI has turned from a niche technology area into a mainstream computer science toolkit. Companies across the globe are investing heavily in AI and can derive value and generate revenue by leveraging AI. As per a NASSCOM report, AI has the potential to add US$957 billion to India's economy by 2035.

Course Highlights
  • Become thoroughly conversant in skills in emerging and exponential with the principles, algorithms, tools, and applications of Artificial Intelligence.
  • Build strong foundations in supervised and unsupervised Machine Learning. Apply Deep Learning to real-life data sets and projects such as image recognition and natural language processing.
  • Acquire hands-on experience of working with various Artificial Intelligence algorithms and tools on real data sets and real-world problems.
  • Work on live projects, on-the-job training, and internships.
  • Enable students to become future-ready and industry-relevant in new-age job roles that are driven by technology and digital transformation.
Program code: 044B
Course Commencement : July 2024

Study Campus

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69

+91 8310942174

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69

+91 8310942174
080 - 46650100

Course Image
Curriculum Structure

  • Fundamentals of Mathematics
  • Computer Fundamentals & Organization
  • Programming in C
  • Introduction to Linux
  • English I
  • Language I

  • Operating System
  • Oops With C++
  • Data Structures Using C
  • English II
  • Language I
  • Mind Management & Human Values

  • Fundamentals of Information Security
  • Computer Networks
  • Programming in Java
  • Discrete Mathematics / Probability and Statistics
  • Entrepreneurial Development / Principles of Business Management

  • Introduction to Artificial Intelligence
  • Data Mining & Warehousing
  • Programming & Data Analytics Using
  • Python / Programming &Data Analytics Using R
  • Communicative English
  • Indian Constitution / Indian Aesthetics
  • Automata Theory / Cognitive Computing

  • Predictive Analytics using Python / Predictive Analytics using R
  • Innovation & Design Thinking / Agile Methodology
  • Data Visualization
  • Robotic Process Automation
  • Environment Science

  • Machine Learning& AI using Python / Machine Learning & AI using R
  • Deep Learning & Reinforcement Learning
  • Research Publication
  • Project/Internship
Career Outcomes

This course is uniquely positioned to keep pace with the emerging skill-sets required in Industry 4.0. As you graduate in 2023, you would be adequately prepared for the world of work! And, of course, you will be provided placement assistance for careers in MNC’s in roles including, but not limited to: Software Engineer, Software Developer, Software Analyst, AI / Machine Learning Engineer, AI / Machine Learning Specialist, Data Analyst, Data Engineer, NLP (Natural Language Processing) Engineer, Automation Engineer, Technical Support Engineer, Digital Transformation Consultant.