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MSc in Process Integration​ (ODL)

​​JPT/BPP(N-DL/524/7/0080)02/25

 

 

Go virtual with our Open Distance Learning (ODL) Programme   
  • Offered with the flexibility of ONLINE classes accessible everywhere anywhere anytime.
  • Study at your own pace with competitive tuition fees for local working professionals.
  • Working professionals can opt for the best mode of learning to accommodate their busy schedules.
  • Plus, stay in touch with our lecturers and industry experts via frequent meetings and consulting sessions at UTP’s regional Centre for Advanced and Professional Education (CAPE), Kuala Lumpur, or via ONLINE Skype/Teams.

 

Introduction

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 efficiencies 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.


Why You Should Join Our MSc in Process Integration?

  • 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 hosting company, ​OR
    • Carry out a design project using real industry-derived data


Course Duration and Offering

This course is available both ​Full-Time and Part-Time.

Mode Minimum Duration Maximum Duration
ODL 12 months 36 months

 

Entry Requirements

i. A bachelor’s degree with a minimum CGPA of 2.50 or equivalent, or 

ii. A bachelor’s degree or equivalent not meeting a CGPA of 2.50, can be accepted subject to a minimum of 5 years of working experience in a 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
​2
​5
Total ​​ 40 ​100%

 Subject by Semester

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

 
                       
​1
(14)
​​Heat Integration OAI5012 ​2
​Modelling OAI5022 ​2
​Optimization OAI5052 ​2
​Operability & Control OAI5032 ​2
​Process Safety OAI​​5042​ ​2
​University Requirement I ​2
​​Sub-Total 12

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

 
​2
(14)
University Requirement II
​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 OAI541C ​12
​Research Methodology ​OAN5032 ​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 OAI5173 3
Environmental Design for Atmospheric Emissions OAI5183 3​
Environmental Design for Aqueous Emissions OAI5193 3
Synthesis of Reaction-Separation Systems OAI5153 3
​​Specialization 2: Advanced Chemical Process Design​
​ ​ ​
Synthesis of Reaction-Separation Systems OAI5153 3
Advanced Distillation Design OAI5133 3
Design of Fine and Speciality Chemicals Processes OAI5163 3
Cogeneration and Site Utility Systems OAI5143 3
​​Specialization 3: Refinery Design & Operation
​ ​
Refinery and Petrochemical Processes OAI5113 3
Refinery Optimisation OAI5123 3
Advanced Distillation Design OAI5133 3
Cogeneration and Site Utility Systems OAI​​5143 3
​University Requirement​ ​ ​ 4
Data Analytics  DAM5362 2
Project Management  OAU5052 2
                 

                 

Programme Module Synopsis

Course Code

Module

​Credit Hour

OAI5022

Modelling

​​2 credits

​Overview of 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

OAI5012

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

OAI5052

Optimisation

​​2 credits

Overview on Optimisation Basics, Theory and Methods, Model Building, Applications.

 

Course Code

Module

​Credit Hour

OAI5042

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

OAI5032

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

OAI5173

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

OAI5193

Environmental Design for Aqueous Emissions

​​3 credits

Wastewater Minimisation, Effluent Treatment System Design, Waste Minimisation.

 

Course Code

Module

​Credit Hour

OAI5183

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

OAI5153​

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

OAI5133

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

OAI5163

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

OAI5143

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

OAI5123

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

OAI​5113

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

OAI541C​

Design Projects

​​12 credits

Practical Aspects – applying process design tools in design projects.​

Course Code

Module

​Credit Hour

OAU5052

Project Management

​​2 credits

In today's environment, the certainty of change is without precedent. As such, managers in contemporary organizations have to embrace project management in enhancing organizational effectiveness and the 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 a thorough understanding process, content, concepts, techniques, issues, and challenges involved in big data analytics, prepares students to be technically competent in analyzing data, and prepares 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​

 

CONTACT

Programme Manager

Assoc Prof Dr Haslinda Zabiri
Email: haslindazabiri@utp.edu.my​​

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Last updated on 19 May 2022