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Master of Science in Electrical Engineering (By Research)
About
The Master of Science in Electrical Engineering (By Research) is a full research programme designed for candidates seeking to deepen their expertise in a specialized area of Electrical/Electronic Engineering. This programme allows students to explore their research interests while making significant academic contributions to their chosen field. With a flexible study duration of 2 to 4 years, depending on full-time or part-time enrollment, students conduct independent research under the guidance of experienced faculty members. Graduates of this programme can pursue careers as researchers, academicians, R&D engineers, engineering specialists, and technopreneurs, making it an ideal choice for those passionate about advancing knowledge in Electrical Engineering and contributing to both academic and industry advancements.
Key facts
| Qualification | Master's Degree |
| Qualification Subtype | Master of Science (MSc) |
| Coursework / Research | Research |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | January, July, September |
| Tuition (Local students) | ₹ 289,632 |
| Tuition (Foreign students) | ₹ 328,772 |
Subjects
-
Electrical Engineering
-
Engineering
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | ₹ 289,632 | ₹ 328,772 |
| Miscellaneous fees | ₹ 25,401 | ₹ 190,805 |
| Total estimated cost of attendance | ₹ 315,034 | ₹ 519,577 |
| Estimated cost per year | ₹ 105,011 | ₹ 173,192 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
| Registration Fee | ₹ 26,380 |
Foreign students
| Description | Amount |
|---|---|
| International Student Visa (EMGS) Fee | ₹ 42,075 |
| Application Fee | ₹ 19,569 |
| Registration Fee | ₹ 129,160 |
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
i. 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
ii. 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
iii. 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.
iv. 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).
v. 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
The program can be completed within 2-3 years for full-time candidates and 3-4 years for part-time candidates. Candidates who enroll in this program are required to register for the following courses:
- UNIM613 Research Methodology for Research Students
- EPRM540 Thesis
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