Master of Electrical Engineering (by coursework & research)
About
The Master in Electrical Engineering (By Coursework & Research) is a hybrid program that allows candidates to specialize in Electrical and Communication Systems Engineering over 1-4 years. This program enables students to conduct research while gaining industry-relevant knowledge, preparing them for careers in engineering services, power generation, transmission and distribution, communication system design, and academia. Graduates can also pursue a PhD in a related engineering discipline to further their expertise and research contributions.
Key facts
Qualification | Master's Degree |
Qualification Subtype | Master of Science (MSc) |
Coursework / Research | Coursework |
Study mode | Full-time |
Duration | 2 years |
Intakes | January, September |
Tuition (Local students) | B$ 8,479 |
Tuition (Foreign students) | B$ 9,384 |
Subjects
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Electrical Engineering
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Engineering
Duration
2 years
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | B$ 8,479 | B$ 9,384 |
Miscellaneous fees | B$ 391 | B$ 2,942 |
Total estimated cost of attendance | B$ 8,871 | B$ 12,327 |
Estimated cost per year | B$ 4,435 | B$ 6,163 |
Miscellanous fees explained
Local students
Description | Amount |
---|---|
Registration Fee | B$ 406 |
Foreign students
Description | Amount |
---|---|
International Student Visa (EMGS) Fee | B$ 648 |
Application Fee | B$ 301 |
Registration Fee | B$ 1,991 |
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
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A bachelor’s degree in the field or related fields with a minimum CGPA of 2.75 or equivalent, as accepted by UNITEN Senate; or
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A bachelor’s degree in the field or related fields or equivalent with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment; or
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A bachelor’s degree in the field or related fields or equivalent with minimum CGPA of 2.00 and not meeting CGPA of 2.50, can be accepted subject to a minimum of 5 years working experience in the relevant field and rigorous internal assessment.
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Candidates without a qualification in the related fields or relevant working experience must undergo appropriate prerequisite courses determined by UNITEN and meet the minimum CGPA based on (i) to (iii).
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For international students: Test of English as a Foreign Language (TOEFL) score of 500 or International English Language Testing System (IELTS) score of 5.0 or its equivalent.
Curriculum
Core Courses (9+20 Credit Hours)
- Advanced Artificial Intelligence
- Project Management
- Research Methodology
- Research Project – Dissertation (20 Credit hours)
Elective Courses (12 credit hours - any 4 subjects)
- Advanced Applied Telecommunication System
- Advanced Digital Signal Processing
- Optical Fiber Communication
- Data Network Design and Analysis
- Antennas Technology for Wireless Communications
- Power Systems Operation and Planning
- High Voltage Engineering
- Power Systems Protection
- Power Systems Steady State Analysis
- Renewable Energy Sources
- Power Conversion Systems
- Engineering Diagnostics Tools
Key Research Areas
- Automation and Embedded Computing System
- Communications Systems and Networks
- Micro and Nano Engineering
- Photonics Technologies
- Radio Frequency and Microwave Engineering
- Signal Processing and Control Systems
- System and Machine Intelligence
- Distributed Generation
- High Voltage Systems
- Power Quality
- Power System Analysis
- Renewable Energy and Energy Efficiency
- Smart Grid