MSc Project Management

  • Country United Kingdom
  • Course Duration 12 month
  • Course Type Full Time
  • Courses Campus On Campus
  • Language Specification IELTS
  • Program Level Post-Graduate
  • Education Required Graduate
  • Admission intake JAN ,SEP
  • Minimum GPA 2

Application Charges

Application Fee Tution Fee
Free GBP 14,000

Application Date

Application Start Date Application Closing Date
2022-11-14
2022-12-31

Program Description

Whether you are managing a complex project, bringing a new product to market or managing an organisational change, this course provides you with the skills and knowledge to plan, implement, control and deliver your projects at strategic and operational levels. You will gain significant analytical, interpersonal and practical competencies through tailored modules that cover advance planning and visualisation, risk management, procurement and contract strategy, health and safety, managing operations and finance, and management of change. You will also undertake a major research project that allows you to specialise in a field of interest to you. Teesside University has a strong research record in project management. The course is suitable for new and recent university graduates seeking careers in project management, and to practitioners with relevant industrial experience intending to undertake project management roles and responsibilities in their organisations.You have access to our IT Laboratory installed with SYNCHRO software and @RISK® risk analysis tool. SYNCHRO is the 4D BIM construction scheduling and project management software. You will learn to use the software, integrate the schedule and 3D model, assess and review the integrated model.@RISK® is a risk analysis tool widely used in Fortune 100 companies and Engineering organisations. The software uses Monte Carlo simulations to see all possible outcomes in uncertain situations using quantitative analyses. You will also learn how to use the software, develop models, simulations, sensitivity analysis and interpretation of risk model outputs