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Master of Applied Science in Building Engineering
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 4 years |
| Intakes | January, May, September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | Data not available |
Subjects
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Engineering
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Other Engineering
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Duration
4 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | Data not available | Data not available |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | Data not available | Data not available |
| Estimated cost per year | Data not available | Data not available |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
- Related qualifications accepted by the university
English Language Requirements:
- TOEFL: iBT score between 75 and 89
- IELTS: score of 6.5 or 6 with no component score under 5.5
Curriculum
Elements of Engineering Mathematics:
- Engineering Analysis
- Numerical Methods
- Probabalistic Methods in Design
- Probability and Stochastic Processes
- Fuzzy Sets and Fuzzy Logic
Systems and Control:
- Large-scale Control Systems
- Real-time Computer Control Systems
- Discrete Event Systems
- Switched and Hybrid Control Systems
- Linear Systems (*)
- Nonlinear Systems
- Analysis and Design of Linear Multivariable Systems
- Adaptive Control
- Digital Control of Dynamic Systems
- Dynamics and Control of Nonholonomic Systems
Fluid Mechanics:
- Fluid Mechanics
- Microfluidic Systems
- Hydrodynamics
- The Finite Difference Method in Computational Fluid Dynamics
- The Finite Element Method in Computational Fluid Dynamics
- Modeling Turbulent Flows
- Rheology