Master of Engineering Management

The Master of Engineering Management (MEM) degree program is a specialized degree program offered by the School of Engineering and Digital Sciences (SEDS) in partnership with the Graduate School of Business (GSB) at Nazarbayev University (NU). The aim of the program is to prepare students with the technical skills and business knowledge for leadership of engineering-related units of enterprises with innovative solutions for complex business problems. The MEM program emphasizes adapting and applying analytical skills and scientific knowledge into business practice. Students learn about project management, operations management, supply chain management, engineering management, engineering economy, quality and lean management, marketing, R&D management, new product development, entrepreneurship, business ethics, business strategy, business communication, leading change and innovation, and many other aspects of managing a successful business. An engineering management degree qualifies professionals for a diverse array of jobs, including:

  • Engineering Project Manager. This professional has direct authority over the actions of everyone on the work site. A combination of engineering knowledge and business acumen is essential.
  • Senior Lead Analyst. This specialist ensures that engineering teams reach the most efficient outcomes on their assigned tasks.
  • Cost Systems Analyst. A combination of financial management knowledge and engineering skills is necessary for this position. These individuals have a direct impact on the bottom line of large-scale projects.
  • Industrial and System Management Engineer. This specialist ensures that industrial emissions are moving safely through the production system.
  • Technical/information technology consultant. This specialist brings specific expertise to the design, instruction, or operations of technical solutions.
  • Innovation Analyst is a specialist who does tech discovery, tech intelligence and scouting, market analysis, competitor analysis, or investment analysis.
  • Logistics Manager ensures that products, inventory, parts, or people move from one place to another efficiently and cost-effectively. Logistics and supply chain management is a key part of the supply chain, working to plan, control, and implement the storage and flow of products, materials, information, or services.

It is the School mission to train the future scholars of Kazakhstan. By delivering the Master of Engineering Management program at an international standard level, we are offering our master’s students new opportunities in terms of Ph.D. and positions in research centers, here or abroad.

Aims and Objectives

The aims of the MEM program are:

  • To provide postgraduate engineers with the current tools, knowledge and skills necessary for a successful career in local and global engineering management.
  • To support the progression of engineers of all disciplines to management roles in both private and public sectors.
  • To develop future leaders of technology-based organizations by providing a state of the art and applied engineering management curriculum to a select group of high potential students with science and engineering backgrounds.
  • To promote the importance of entrepreneurship, intrapreneurship and the core values of ethical enterprise in modern economies

Total Number of Credits: 120 ECTS

Year 1: Fall Semester (Semester 1)
Year 1: Spring Semester (Semester 2)

Year 2: Fall Semester (Semester 3)

Year 2: Spring Semester (Semester 4)

List of SEDS Elective Courses

  • EMEM 509 Systems Engineering
  • EMEM 527 Globalization and Engineering
  • EMEM 538 Knowledge and Innovation Management
  • EMEM 539 Big Data and Information Management
  • EMEM 541 Operations Research Methods
  • EMEM 543 Quality and Lean Management
Quantitative analysis of uncertainty and risk for engineering applications. Review of some fundamental concepts of probability and probability distributions (discrete, continuous, joint). Descriptive statistics, estimation of distribution parameters (method of moments, method of maximum likelihood), statistical intervals, and hypothesis testing.