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ECR Aviation Academy recognizes the critical importance of Cyber Security in today's digital landscape 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 Cyber Security.
BBA + Cyber Security: This program combines business administration principles with a focus on Cyber Security strategies and practices. Students learn about management concepts, marketing, finance, human resources, and other essential business subjects. Additionally, they delve into Cyber Security topics such as network security, information security management, risk assessment, digital forensics, and ethical hacking. The program equips students with the skills to analyze and mitigate Cyber Security risks, develop secure business processes, and manage security incidents.
BCA + Cyber Security: In this program, students gain a solid foundation in computer science and applications while specializing in Cyber Security. The curriculum covers programming languages, database management, networking, operating systems, and related subjects. Students also explore Cyber Security topics such as cryptography, secure coding practices, network defense, penetration testing, and incident response. They acquire practical skills to secure computer systems, identify vulnerabilities, and implement effective security measures.
B.Com + Cyber Security: This integrated program combines the commerce domain with a specialization in Cyber Security. Students study commerce subjects such as accounting, finance, economics, business law, and taxation while also delving into Cyber Security-related topics. They learn about information security governance, risk management, legal and regulatory frameworks, Cyber Security auditing, and data protection. The program equips students with the ability to apply Cyber Security principles in business operations, protect sensitive information, and ensure compliance with security standards.

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Course Description

By integrating BBA, BCA, or B.Com with Cyber Security, students gain a comprehensive understanding of their chosen domain along with specialized knowledge in Cyber Security. The programs emphasize practical learning, hands-on projects, and real-world simulations to develop skills in threat analysis, vulnerability assessment, incident response, and security policy implementation.
Upon completion of these integrated programs, graduates are well-prepared for careers in Cyber Security across various industries. They can pursue roles such as Cyber Security analyst, security consultant, network administrator, incident responder, risk analyst, or Cyber Security manager. With the increasing demand for Cyber Security professionals, graduates can contribute to protecting organizations' digital assets and mitigating cyber threats.
ECR Aviation Academy's integrated programs in BBA, BCA, or B.Com with Cyber Security provide students with a strong foundation in their chosen domain while equipping them with essential skills and knowledge in Cyber Security. The programs prepare graduates to address the growing challenges of Cyber Security and contribute to building secure and resilient digital systems.


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

Syllabus of BCA with Cyber Security

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