The rapidly evolving chemical and process industries demand engineers who can improve existing manufacturing systems, develop emerging technologies, and design sustainable solutions to complex engineering challenges. The Department of Chemical Engineering (DChE) at GIK Institute offers graduate programs designed to develop advanced technical knowledge, research capabilities, and problem-solving skills for careers in academia, research, industry, and technology development.
The graduate program comprises two degree pathways:
Both programs combine advanced coursework with hands-on research, enabling students to develop a strong foundation in chemical engineering principles while applying modern engineering tools to real-world problems.
The graduate program provides broad and interdisciplinary exposure across major areas of chemical engineering, including process and equipment design, thermodynamics, transport phenomena, reaction engineering, catalysis, modeling and simulation, energy, materials, and environmental engineering.
Students are encouraged to develop the ability to:
Through this combination of advanced learning and research, graduates are prepared to pursue academic and research careers, industrial R&D, process engineering, technology development, and professional leadership roles.
The mission of the Department of Chemical Engineering is:
To develop and disseminate knowledge of the design and operation of chemical processes, preparing graduates to excel in academia, research, business, and industry while contributing ethically to the sustainable and humanistic development of society.
The graduate program integrates advanced coursework with hands-on research training, emphasizing fundamental chemical engineering principles and their applications to emerging technological and industrial challenges.
Students may pursue research in the following areas, among others, depending on their interests, research objectives, and supervisor expertise:
Process development, equipment design, process integration, optimization, and scale-up of chemical and industrial processes.
Fluid flow, multiphase systems, thermodynamic modeling, phase behavior, and applications in process industries.
Catalyst development and characterization, heterogeneous catalysis, reaction kinetics, reactor design, and sustainable catalytic processes.
Momentum, heat, and mass transfer with applications to advanced process systems, separation processes, and emerging technologies.
Process modeling, computational methods, process simulation, data-driven modeling, artificial intelligence, machine learning, and process optimization.
Wastewater treatment, resource recovery, environmental remediation, sustainable processes, and pollution control technologies.
The research portfolio is not limited to these areas. Students may pursue emerging and interdisciplinary research topics aligned with their interests and the expertise of available supervisors.
The MS degree requires 30 credit hours, comprising:
The coursework is organized into research, core, and elective components. Research courses are mandatory and carry zero credit hours. Students must complete a minimum of four core courses, while the remaining courses may be selected according to their area of specialization and proposed MS research.
The MS program is designed to provide students with advanced subject knowledge while developing their ability to conduct independent research and apply chemical engineering principles to contemporary engineering challenges.
The PhD degree requires 36 credit hours, comprising:
Of the eight courses, at least four courses must be selected from the approved Graduate Chemical Engineering courses, while the remaining courses may be selected from relevant graduate offerings of other faculties at GIK Institute.
The PhD program emphasizes original research, advanced technical expertise, interdisciplinary collaboration, and the generation of new knowledge in chemical engineering and related fields.
Graduate study at DChE is built around a simple objective: transform advanced chemical engineering knowledge into solutions for real engineering problems.
Through rigorous coursework, research training, computational and experimental methods, and interdisciplinary engagement, our graduate students are prepared to contribute to the future of process industries, energy, materials, environmental sustainability, and emerging technologies.
| Code | Name | Lecture Hours | Lab Hours | Credit Hours | Pre-reqs | Co-reqs |
|---|---|---|---|---|---|---|
| CH500 | Research Methodology | 3 | 0 | 0 | none | none |
| CH501 | Chemical Thermodynamics | 3 | 0 | 3 | none | none |
| CH502 | Chemical Reaction Engineering | 3 | 0 | 3 | none | none |
| CH503 | Transport Phenomena | 3 | 0 | 3 | none | none |
| CH512 | Experimental Design and Analysis | 3 | 0 | 3 | none | none |
| CH513 | Process Design and Optimization | 3 | 0 | 3 | none | none |
| CH514 | Sustainable Energy Resources | 3 | 0 | 3 | none | none |
| CH515 | Energy Management and Auditing | 3 | 0 | 3 | none | none |
| CH516 | Computaional Methods for Engineers | 3 | 0 | 3 | none | none |
| CH517 | Numerical Methods for Partial differenial Equations | 3 | 0 | 3 | none | none |
| CH521 | Advanced Fluid Mechanics | 3 | 0 | 3 | none | none |
| CH522 | Advance Heat Transfer | 3 | 0 | 3 | none | none |
| CH523 | Advanced Mass Transfer | 3 | 0 | 3 | none | none |
| CH524 | Biochemical Engineering | 3 | 0 | 3 | none | none |
| CH525 | Computational Fluid Dynamics | 3 | 0 | 3 | none | none |
| CH526 | Computer Aided ProcessDesign | 3 | 0 | 3 | none | none |
| CH527 | Clean Coal Technology | 3 | 0 | 3 | none | none |
| CH528 | Environmental Engineering | 3 | 0 | 3 | none | none |
| CH529 | Advance Wastewater Treatment Technologies | 3 | 0 | 3 | none | none |
| CH531 | Design of Heat Recovery Systems | 3 | 0 | 3 | none | none |
| CH532 | Project Management | 3 | 0 | 3 | none | none |
| CH533 | Particle Dynamics | 3 | 0 | 3 | none | none |
| CH534 | Occupational Health and Safety in Process Industries | 3 | 0 | 3 | none | none |
| CH535 | Power Plant Engineering | 3 | 0 | 3 | none | none |
| CH599 | MS Thesis | 6 | 0 | 6 | none | none |
| CH601 | Computational Modeling of Reactors | 3 | 0 | 3 | none | none |
| CH611 | Catalytic Reaction Engineering | 3 | 0 | 3 | none | none |
| CH621 | Statistical Thermodynamics | 3 | 0 | 3 | none | none |
| CH631 | Computer Aided Design in Chemical Engineering | 3 | 0 | 3 | none | none |
| CH641 | Computational Multiphase Flow | 3 | 0 | 3 | none | none |
| CH651 | Non-Newtonian Transport Phenomena | 3 | 0 | 3 | none | none |
| CH699 | PhD Dissertation | 18 | 0 | 18 | none | none |
