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Welcome to ECR Group Of Institutions


ECR Aviation Academy recognizes the growing significance of Artificial Intelligence (AI) in various industries and offers integrated programs that combine Bachelor of Business Administration (BBA), Bachelor of Computer Applications (BCA), or Bachelor of Commerce (B.Com) with a specialization in Artificial Intelligence.
BBA + Artificial Intelligence: This program combines the core principles of business administration with a focus on AI technologies and applications. Students learn about management concepts, marketing, finance, human resources, and other essential business subjects. Additionally, they delve into AI topics such as machine learning, data analytics, natural language processing, robotics, and AI-driven decision-making. The program equips students with the skills to leverage AI technologies in business strategies, operations, and innovation.
BCA + Artificial Intelligence: In this program, students develop a strong foundation in computer science and applications alongside specialized knowledge in AI. The curriculum covers programming languages, software development, database management, networking, and related subjects. Students also explore AI topics such as machine learning algorithms, data mining, computer vision, intelligent systems, and AI programming. They gain practical skills to develop AI applications, analyze data, and implement AI solutions.
B.Com + Artificial Intelligence: This integrated program combines the commerce domain with a specialization in AI. Students study commerce subjects such as accounting, finance, economics, business law, and taxation, while also delving into AI-related topics. They learn about AI-driven analytics, predictive modeling, automation, and business intelligence. The program equips students with the ability to apply AI techniques in financial analysis, market research, risk management, and other commerce-related areas.

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Course Description

By integrating BBA, BCA, or B.Com with Artificial Intelligence, students gain a solid academic foundation in their chosen domain while acquiring expertise in AI technologies. The programs emphasize practical learning, hands-on projects, and industry collaborations to develop critical thinking, problem-solving, and innovation skills.
Upon completion of these integrated programs, graduates are well-prepared for careers at the intersection of business and AI. They can pursue roles such as AI strategist, data analyst, business intelligence analyst, AI project manager, AI consultant, or AI developer in various industries where AI-driven solutions are in high demand.
ECR Aviation Academy's integrated programs in BBA, BCA, or B.Com with Artificial Intelligence provide students with a competitive edge by combining domain-specific knowledge with expertise in AI. The programs equip graduates with the skills to leverage AI technologies, contribute to data-driven decision-making processes, and drive innovation in their respective fields.


  • Comprehensive understanding of AI concepts, Practical exercises and projects, Focus on AI development, Evaluation and optimization of AI systems, Specialization options, Combination of lectures and practical sessions


  • Higher Secondary Certificate (10+2) qualification in any stream from a recognized Board.

Syllabus of BCA with Artificial Intelligence

Module 1: Foundations of AI & ML
  • Unit 1:Introduction to Data Science and AI & ML
  • Unit 2:R Essentials (Tutorial)
  • Unit 3:Statistical Analysis
Module 2:Data Management
  • Unit 4:Data Acquisition
  • Unit 5:Data Pre-processing and Preparation
  • Unit 6:Data Quality and Transformation
  • Unit 7:Handling Text Data
  • Unit 8:Principles of Big Data
  • Unit 9:Big Data Frameworks- Hadoop, Spark and NoSQL
Module 3:Statistical Decision Making
  • Unit 10:Data Visalization
  • Unit 11:Sampling and Estimation
  • Unit 12:Inferential Statistics
Module. 4:Predictive Analytics
  • Unit 13:Linear Regression
  • Unit 14:Multiple Linear Regression
  • Unit 15:Non-Linear Regression
  • Unit 16:Forecasting models
Module. 5:Machine Learning
  • Unit 17:Foundations for ML
  • Unit 18:Clustering
  • Unit 19:Classification
  • Unit 20:Association rule mining
Module. 6:Artificial Intelligence
  • Unit 21:Foundations for AI
  • Unit 22:Convolution Neural Networks[2]
  • Unit 23:Recurrent Neural Networks[2]
  • Unit 24:Deep Learning[6]
Module. 7:Business use cases*(Tentative)
  • Case study.1:Churn Analysis and Prediction(Survival Modelling)
  • Case study.2:Credit card Fraud Analysis
  • Case study.3:Sentiment Analysis or Topic Mining from New York Times
  • Case study.4:Sales Funnel Analysis
  • Case study.5:Recommendations System and Collaborative filtering
  • Case study.6:Customer Segmentation and Value
  • Case study.7:Portfolio Risk Conformance
  • Case study.8:Uber Alternative Routing