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MSc in Process Integration





Process industries such as oil & gas, chemical and petrochemical are major economic enablers and contributors. Amid rising oil and energy prices, these industries are now forced to operate nimbly in order to be globally competitive and sustainable. Going forward, designing, optimizing and controlling new processes that offer higher effciencies are pivotal in overcoming formidable global challenges. At UTP, MSc in Process Integration is designed to keep pace with industry-wide process system engineering challenges. As such, the programme will prepare you to face up to the challenges across multiple sectors that demand the expertise of resourceful process system engineers.

Significantly, the programme highlights the applications of recent advances in process system engineering and analysis techniques that will provide a different perspective from the outgoing conventional practices. These include heat integration, modelling, optimization, process safety, control and operability in order to optimize the utilization of raw materials and energy to gain an edge towards sustainability. Designed in collaboration with the industry, UTP's MSc in Process Integration helps students break through conventional thinking to plan and deliver an exciting future. Building a talent pipeline of process integration specialists. Benefit from learning objectives tied to the contours of reality-based industry situations and changes.

Join a leading feeder university for the process integration industry. Get in touch with the latest industry thinking. Grow your industry perspective with subjects grounded in day-to-day industry challenges, opportunities and outcomes. Learn how to leverage real industry data and research evidence to provide solutions through cutting tools and techniques.

Programme Objectives

  1. Process Integration specialists with insights to articulate complex industry problems and solutions.
  2. Industry leaders with integrity towards sustainable development through continuous improvement and innovation for the betterment of society.

Programme Outcome

  1. Demonstrate continuing advanced knowledge in Process Integration and have the capabilities to further develop or use these in new situations or multidisciplinary context.
  2. Analyse and evaluate critically problems in Process Integration particularly in situations with limited information and to provide solutions through application of appropriate tools and techniques.
  3. Appraise available information and research evidence in Process Integration and apply it in the engineering context.
  4. Plan and perform research undertakings in Process Integration professionally, ethically and responsibly.
  5. Report technical findings in both written and oral forms.
  6. Recognise the needs for continuing professional development in Process Integration.

Why You Should Join Our MSc Programme

  • Modular based programme.
  • Programme jointly developed with relevant industrial custodian engineers
  • Enjoy free access to other specialisation clusters' short-courses and modules offered under the programme
  • Choose between the two options below:
    • Carry out an individual design project across a 4-month industrial attachment with a host company, OR
    • Carry out a design project using real industry-derived data

Course Duration & Offering

This course is available in Full-Time and Part-Time.

​Mode Minimum Duration​ Maximum Duration​
​Full-Time One (1) year​ Three (3) years​
​Part-Time Two (2) years​ ​Four (4) years

​​​Entry Requirements

  • A bachelor's degree with minimum CGPA of 2.50 or equivalent, or
  • A bachelor's degree or equivalent not meeting CGPA of 2.50, can be accepted subject to a minimum of 5 years working experience in relevant field.

Fee Structure

Local Students

International Students

Programme Curriculum Structure
No. ​Subject Classification​ No. of Modules Credit Value ​Percentage (%)​​
​1 Discipline Core (Engineering Core) ​5 ​10 25​
​2 Technical Elective (Engineering Core)​ ​4 12 30
3 Design Project (Project)​ 1 12 ​30
​4 ​University Requirement ​2 ​4 ​10
​5 ​University's Requirement (Research Methodology) ​1
Total ​​ 40 100%

Subject by Semester

Master of Science in Process Integration​
Semester (Weeks) ​Course Name ​Code Credit Hours

​1 (14)
​​Heat Integration ​EIM5012 ​2
​Modelling EIM5022 ​2
​Optimization ​EIM5052 ​2
​Operability & Control ​EIM5032 ​2
​Process Safety ​EIM5042​ ​2
​University Requirement I ​DAM5362 ​2
​​Sub-Total 12

Semester (Weeks)​ ​Course Name ​Code ​Credit Hours

​2 (14)
University Requirement II SNB5052 ​2
​Technical Elective I Refer to Technical Electives ​3
​Technical Elective II ​3
​Technical III 3
Technical IV 3
Sub-Total 14

​Semester ​(Weeks)​ Course Name ​Code ​Credit Hours
​​3 (14) ​Design Project ​EIM5414 ​12
Research Methodology ​SNB5032 2
Sub-Total ​​14
Total Credit Hours​ 40​

Technical Electives and University Requirement

Please choose any FOUR (4) for technical electives below.

Course Name Code Credit Hours
​Technical Electives 12
​​​​Specialization 1: Environmental Process Design
​ ​​
Cleaner Production EIM 5173 3
Environmental Design for Atmospheric Emissions EIM 5183 3​
Environmental Design for Aqueous Emissions EIM 5193 3
Synthesis of Reaction-Separation Systems EIM 5153 3
​​Specialization 2: Advanced Chemical Process Design​
Synthesis of Reaction-Separation Systems EIM5153 3
Advanced Distillation Design EIM5133 3
Design of Fine and Speciality Chemicals Processes EIM5163 3
Cogeneration and Site Utility Systems EIM5143 3
​​Specialization 3: Refinery Design & Operation
​ ​
Refinery and Petrochemical Processes EIM5113 3
Refinery Optimisation EIM5123 3
Advanced Distillation Design EIM5133 3
Cogeneration and Site Utility Systems ​EIM5143 3
​University Requirement​ 4
Data Analytics DAM 5362 2
Project Management SNB 5052 2

Programme Module Synopsis

Course Code


Credit Hour
EIM5022 Modelling ​​2 credits
Overview on Modeling Concept; Mathematical Modeling, model Building, Development Constitutive relations by experiment and correlation, Sensitivity and simulation Analysis, Chemical Modeling, Pressure-Volume-Temperature, Phase equilibrium & thermodynamic properties, Liquid phase nonideality.

Course Code Module ​Credit Hour
EIM5012 Heat Integration ​​2 credits
Introduction to Heat Integration, Energy Targets, pinch design Methods, Capital Cost Targeting, Automated Design, Integration of Heat Engine and Heat Pumps, Integration of Reactors and Separators, Process Modifications, Data Extraction.

Course Code Module ​Credit Hour
EIM5052 Optimisation ​​2 credits
Overview on Optimisation Basics, Theory and Methods, Model Building, Applications.

Course Code Module ​Credit Hour
EIM5042 Process Safety ​​2 credits
Overview on Safety, Toxic Hazards, Release Modeling, Fire and Explosion, Pressure Relief System, Reactor Safety, Storage, Hazard Identification, Risk Assessment.

Course Code Module ​Credit Hour
EIM5032 Operability and Control ​​2 credits
Introduction, Control Configuration, Unit Operation Control, Control of Complete Processes, Dynamic Behaviour, Feedback Controller design, model Based Control, MIMO Systems, Operability and Continuous Process.

Course Code Module ​Credit Hour
EIM5173 Cleaner Production ​​3 credits
Introduction, Waste Identification and Minimisation, Life Cycle Assessment, Materials Recycling, Legislative and Economic Aspects of Cleaner Production, Industrial Ecology.

Course Code Module ​Credit Hour
EIM5193 Environmental Design for Aqueous Emissions 3 credits
Wastewater Minimisation, Effluent Treatment System Design, Waste Minimisation.

Course Code Module ​Credit Hour
EIM5183 Environmental Design for Atmospheric Emissions ​​3 credits
Introduction, Remediation Processes, Control of VOC, Emissions, Control of Nox, Emissions, Control of Flue Gas Emissions.

Course Code Module ​Credit Hour
EIM5153​ Synthesis of Reaction –Separation Systems ​​3 credits
Process Economics, Choice of Reactor, choice of Separator, Synthesis of Reaction-Separation Systems, Reactive Distillation, Economic trade-offs, reducing Process Hazards.

Course Code Module ​Credit Hour
EIM5133 Advance Distillation Design ​​3 credits
Distillation Design, Column Sequencing, Thermodynamic Analysis of the Distillation Column, Crude Oil Distillation Design, Retrofit Design of Distillation Systems, Representation of Ternary Mixtures, Azeotropic Distillation Sequence Synthesis.

Course Code Module ​Credit Hour
EIM5163 Design of Fine and Speciality Chemicals Processes 3 credits
Introduction, Batch Unit Operations, Bioprocess Technology, Batch Process Synthesis, Scheduling of Batch Processes, Batch Plant Engineering, Environmental Protection.

Course Code Module ​Credit Hour
EIM5143 Cogeneration and Site Utility Systems 2 credits
Introduction to Cogeneration and Site Utility Systems, Furnaces, steam Systems, Site Composite Curves, Optimizing Steam levels, Top Level Analysis, Site Retrofit, Gas Turbine Integration, Driver selection, Site Power to Heat Ratio, Refrigeration Systems.

Course Code Module ​Credit Hour
EIM5123 Refinery Optimisation 3 credits
Refinery Processes and Operation, General System Representation and Simulation, Modeling of Large Systems, Rigorous Models vs Simple Models, Advanced Mathematical Programming, Applications.

Course Code Module ​Credit Hour
EIM5113 Refinery and Petrochemical Processes ​​3 credits
Crude Oil and Refinery Product, Crude Oil Distillation, Octane Processes, Hydroprocessing, Heavy End Processes, Light End Processes, Lube Oils, Sulphur Recovery, Petrochemical Processes, Refinery Integration, Hydrogen Integration.

Course Code Module Credit Hour
EIM5414 Design Projects ​​12 credits
Practical Aspects – applying process design tools in the design projects.

Course Code Module Credit Hour
SNB5052 Project Management ​​2 credits
In today's environment, certainty of change is without precedent. As such, managers in the contemporary organizations have to embrace project management in enhancing organizational effectiveness and success of their energy management. Energy projects have to be delivered on schedule, within budget, with the required performance capability, and compliant with quality, environmental, safety and health standards. The need to place energy management in the context of the design, strategies, and execution of project management is compelling.

Course Code Module ​Credit Hour
DAM5362 Data Analytics ​​2 credits
The course provides thorough understand process, content, concepts, techniques, issues and challenges involved in big data analytics, prepare students to be technically competent in analyzing data and prepare students to improve management decision making using data analytics tools.

Career Opportunities

Graduates with an MSc in Process Integration degree will enhance their employment and career prospects in the process industries. The degree is also a good starting point for a career in research and academia.

Click here to download the brochure​


Programme Manager

Associate Professor Dr Haslinda binti Zabiri



Last updated on 21 October 2020​