HBL Data Privacy Course

Aptech Learning Pakistan signs an MoU with HBL

Aptech Learning Pakistan signs an MoU with HBL on 4 October 2022. The alliance enables HBL to add to Aptech’s curriculum by engaging the Bank’s subject matter experts in the Data Strategy - Innovation & Financial Inclusion team to completely design and deliver skill-based programs in specialized fields such as Data Privacy, Data Governance and Data & Robotics Design Strategy.

As part of the HR University alliances initiative, the MoU also aims to enhance professional capabilities through corporate exposure, career counselling and guest speaker sessions. The MoU was signed by Javed Iqbal, Country Manager Aptech Learning Pakistan and Jamal Nasir, Chief Human Resources Officer HBL.

Course Outline: MODULE I - FOUNDATION

  • Introduction to Privacy for the IT Professional
  • Core Privacy Concepts
  • Common Principles and Approaches to Privacy
  • Challenges of Privacy Principles
  • Encryption and Related Technologies
  • Usable and Useful Privacy Interfaces
  • Privacy Structural Asymmetry
  • Privacy Program Framework
  • Information flow, domains & sub domains
  • Tracking and Surveillance
Student Evaluation Methods
  1. Multiple choice questions
  2. Case studies
  3. Class discussions
  4. Tests based on short Q/A
Code of Conduct
  • There will be two classes of 90 minutes each.
  • Classes will be conducted on Fridays and Saturdays.

    Course Outline: Module II ADVANCE

    • Privacy by design methodology
    • Privacy Governance
    • Cybersecurity and Privacy
    • Privacy Controls
    • Engineering and Privacy in an IT Ecosystem
    • Information Security: Safeguarding Personal Information
    • Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies
    • Risk Analysis & Methodology
    • Understanding the Need for Privacy in the IT Environment
    • Regulations and Standards Impacting Privacy in IT
    • Privacy in Systems and Applications
    • Online Privacy Issues
    • De-identifying and Anonymizing Personally Identifiable Information
    • Privacy in Cloud computing
    Student Evaluation Methods
    1. Multiple choice questions
    2. Case studies
    3. Class discussions
    4. Tests based on short Q/A
    Code of Conduct
    • There will be two classes of 90 minutes each.
    • Classes will be conducted on Fridays and Saturdays.
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