Program Overview

Graduate School of Management and Economics

The Graduate School of Management and Economics at Sharif University of Technology offers various programs in management and economics.

Education

The school provides several courses in management and economics, including:

• Management Courses
• Economics Courses
• Policymaking Courses

Research

The school conducts research in various areas, including:

• Selected Papers
• GSME Seminars

People

The school has a diverse range of faculty members and alumni, including:

• Faculty
  • Management Faculty
  • Economics Faculty
  • Policymaking Faculty
• Ph.D. Alumni
  • Management Alumni
  • Economics Alumni
  • Policymaking Alumni
• Ph.D. Students
  • Management Students
  • Economics Students
  • Policymaking Students
• Staff

Executive Education

The school offers executive education programs for working professionals.

Affiliated Centers

The school has several affiliated centers, including:

• GSME Data Analysis Center
• Ayar School
• هسته پژوهشی نوآوری و تحول دیجیتال (Innovation and Digital Transformation Research Center)

Programs

The school offers several programs, including:

• مدیریت کسب و کار (ارشد) (Master's in Business Administration)
• دکتری اقتصاد (Ph.D. in Economics)
• ارشد سیاست‌گذاری (Master's in Policymaking)
• ارشد اقتصاد (Master's in Economics)

MBA Courses

The MBA program includes various courses, such as:

• دروس پایه (Basic Courses)
• دروس استراتژی (Strategy Courses)
• MBA- بازاریابی (Marketing Courses)
• MBA - عملیات و زنجیره تامین (Operations and Supply Chain Management Courses)
• MBA - مالی (Finance Courses)
• MBA- فناوری (Technology Courses)
  • مدیریت استراتژیک تکنولوژی (Strategic Technology Management)
  • مدیریت داده محور کسب و کار (Data-Driven Business Management)
  • ارزیابی و پیش‌بینی فناوری (Technology Forecasting and Assessment)
  • نوآوری در کسب و کار (Innovation in Business)
  • نوآوری و فناوری های دیجیتال (Innovation and Digital Technologies)
  • کسب و کار تکنولوژی بلاک چین و رمزارزها (Blockchain and Cryptocurrency Business)
  • مدل‌­های کسب و کار پلتفرمی (Platform Business Models)
  • فناوری، نوآوری و توسعه (Technology, Innovation, and Development)
  • نظام های نوآوری (Innovation Systems)
  • مدیریت تحول سازمانی (Organizational Transformation Management)
  • تحول دیجیتال (Digital Transformation)
  • تحلیل ديناميك‌هاي سيستم (System Dynamics Analysis)
  • مدیریت توسعه محصول (Product Development Management)
  • همکاری استراتژیک در زمینه تکنولوژی (Strategic Technology Partnership)
  • حقوق تجارت (Business Law)
  • روش های تحقیق در مدیریت (Research Methods in Management)
• MBA - منابع انسانی (Human Resources Courses)
• MBA - سیستم های اطلاعاتی (Information Systems Courses)

Technology Forecasting and Assessment

The Technology Forecasting and Assessment course covers:

Objective

The course aims to provide students with fundamental concepts and theories in technology forecasting.

Specific Objectives

The course covers:

• Analysis of trends and identification of weak and strong signals in future technology
• Analysis of technology life cycles and identification of emerging, mature, declining, and saturated technologies
• Application of machine learning algorithms and natural language processing in technology forecasting
• Application of trend analysis, growth curves, and regression in the forecasting process
• Application of qualitative methods in technology forecasting (scenario planning, Delphi method, etc.)

Course Outline

The course includes:

• Changes in technology, digital technologies, and social changes
• Social aspects of forecasting
• Introduction to computational social science
• Main theories and approaches in technology forecasting: forecasting process
• Accuracy in technology forecasting: performance metrics
• Data collection from scientific databases
• Patents: structure and search sources, introduction to patent analysis
• Qualitative methods in data collection and analysis: Delphi technique and multi-stage questionnaire
• Introduction to network theory and working with macro and micro network indicators: application of network analysis in technology forecasting
• Application of regression in technology forecasting and extrapolation of trends: introduction to trend analysis methods
• Science metrics and science and technology measurement
• Identification of emerging, mature, declining, and saturated technologies

References

The course references include:

• Porter, A. L., Roper, A. T., Mason, T. W., Rossini, F. A., & Banks, J. (1991). Forecasting and management of technology (Vol. 18). John Wiley & Sons
• Porter, A. L., & Cunningham, S. W. (2004). Tech mining: Exploiting new technologies for competitive advantage. John Wiley & Sons
• Cioffi-Revilla, C. (2014). Introduction to computational social science. London and Heidelberg: Springer