Information and Communication Technology in Financial Institutions   (ICTFI)

Information and Communication Technology in Financial Institutions (ICTFI)

Full Marks: 100

Module A: Introduction to ICT and Computer Systems

  • Information and Communication Technology
  • Electronic Banking and Online Banking
  • Mobile Financial Services, Agent Banking
  • e-Commerce and m-Commerce
  • Computer Hardware and Software
  • Internet

Module B: Different Approaches to Automation of Financial Institutions (FIs)

  • Data Center (DC), Near DC, Disaster Recovery Site (DRS)
  • Data Center Standards and Certifications
  • Computer Networking, IT Systems, Storage, Database and Backup Systems
  • Computerization Approaches
  • Software Systems: Core Banking, Switching, Credit Card, Payment Gateway
  • Mobile Financial System and Agent Banking Software

Module C: Alternative Delivery Channels & Fund Transfer Systems

  • ATM, CDM, CRM, POS Terminals
  • Debit Card, Credit Card, Card Technology
  • Internet Banking, SMS and Alert Banking
  • e-Commerce, Internet Payment Gateway, M-Commerce
  • Mobile Financial Services (MFS), Agent Banking (Biometric)
  • Call Center, Fund Transfer Systems: Telex, SWIFT, CHIPS, FEDWIRE

Module D: ICT Security, Cyber Security, ICT Risk Management, Standards, Regulations and Legal Framework

  • ICT Security, Cyber Security, ICT Risk Management
  • Security Standards and Regulations
  • Bangladesh Bank Guidelines on ICT Security
  • PCI-DSS, BS 7799, ISO 27000
  • Legal Framework in Bangladesh: Cyber Law, ICT Act

Module E: Document Handling Systems, Additional Banking Applications & Other Aspects

  • Cheque Processing Systems: Clearing and Settlement
  • MICR, RTGS, BACH (BACPS & BEFTN)
  • Banking Applications: ERP, CRM, E-mail Software
  • Anti-Virus and Anti-Malware Software

Module F: FinTech, Artificial Intelligence and Future Technology Based Banking

  • FinTech, RegTech, TechFin, Virtual Banking
  • Basic Cryptocurrency, Blockchain Technology
  • Cloud Computing, Internet of Things (IoT)
  • Machine Learning, Data Mining, Neural Network
  • Data Warehouse, Artificial Intelligence
  • Current and Future Trends