Master of Science in Project Management (with Advanced Practice)

Teesside University

UK,England

 0 Shortlist

20 Months

Duration

CAD 10,000/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1992

Total Students: 21,276 +

Int. Students: 1,076 +

Campus Detail

Main Campus Address

Campus Heart, Southfield Rd, Middlesbrough TS1 3BX, United Kingdom

Master of Science in Project Management (with Advanced Practice)

Program Overview

Project management processes are about implementing methodologies, knowledge, skills and techniques to successfully accomplish projects in an efficient and effective manner. 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.

This course develops the competencies required by project managers in the modern engineering, manufacturing, construction, telecom, process, oil and gas industries. You 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. In addition, you also undertake a major research project that allows you to specialise in a field of interest to you.

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 visualise all possible outcomes in uncertain situations using quantitative analyses. You will also learn how to use the software, develop models, simulations, sensitivity analysis and interpret risk model outputs.

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