Skip to content
LW

Academic & Teaching

Grounded in education, extended into business

Daw La Pyae Wun's academic path runs from teacher education through English, early childhood and special education to business administration. It mirrors the way her career has moved: from the classroom to the boardroom, without leaving the classroom behind.

Academic & Teaching

Qualifications

  1. 2027

    Master of Business Administration (MBA)

    Assumption University, Thailand

    Awarded January 2027

  2. 2024

    Master of Arts in Education

    Paris International University

    Specialisation in Early Childhood and Special Education

  3. 2011

    Bachelor of Arts in English

    University of West Yangon

  4. 2008

    Diploma in Teaching Education

    Thingangyun Education College

Academic & Teaching

Current teaching

Programme
Professional Diploma in Family Business Management
Institution
AU MIT Myanmar College, Yangon
Role
Practitioner-Lecturer
Format
Online, Cohort 1 — Academic Term 1/2026

The course examines the structures, relationships and management challenges of family-owned enterprises in Myanmar: governance, succession, marketing and segmentation, financial statements, budgeting and cash flow, and strategy at corporate, business and functional levels. Daw La Pyae Wun teaches it from the perspective of someone who makes these decisions in her own businesses.

Teaching philosophy

Concepts earn their place when learners can connect them to a decision they will actually face. Each session links theory to a situation drawn from service businesses, education operations, hospitality or family recreation.

Learners are asked to make their assumptions explicit, use evidence, and leave with an action plan they could take back to their own family business.

Academic & Teaching

Areas of teaching interest

  • Family business governance and succession
  • Small business and entrepreneurship
  • Education leadership and early childhood programmes
  • Hospitality and service operations
  • Digital transformation for owner-managed firms
  • Practical AI in business management