Master of Science (Electrical Engineering)
Program Vision:
The purpose of the Master of Science Program in Electrical Engineering is to attain theoretical and practical depth in one of the areas of interest. The Master of Science (EE) program is structured in such a way as to enhance the student’s critical thinking and intuitive abilities using a combination of highly specialized courses and expert supervision. The program aims to produce graduates who will have the abilities and skills to be employed as practicing Engineers in fields such as design, research development, testing, and manufacturing, as well as assuming positions of leadership and responsibility within organizations.
Award of Degree:
For the award of Master of Science (Electrical Engineering) degree, a student shall have:
- Passed courses totaling at least 30 credit hours, including Three core courses
- Obtained a CGPA of at least 2.50
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | EExxxx Core Course-I | 3+0 |
| 2 | EExxxx Core Course-II | 3+0 |
| 3 | EE5011 Research Methodology | 3+0 |
| Total | 9 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | EExxxx Core Course-III | 3+0 |
| 2 | EExxxx Elective-I | 3+0 |
| 3 | EExxxx Elective-II | 3+0 |
| Total | 9 + 0 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | EExxxx Elective-III | 3+0 |
| 2 | EE5091 MS Thesis-I 1 /Elective-IV | 0+3 |
| Total | 3 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | EExxxx Elective-V | 3+0 |
| 2 | EE5092 MS Thesis-II/ MS Project 2 /Elective-VI | 0+3 |
| Total | 3 + 3 | |
Core Courses:
- EE5035 Engineering Optimization
- EE5049 Computational Statistics
- EE5043 Adv. Embedded Systems and Networks
- IO5031 Internet of Things
- EE5011 Research Methodology *
Elective Courses:
- AI5003 Advanced Machine Learning
- DS5006 Deep Learning
- CS5042 Advanced Network Security
- CS5024 Advanced Computer Networks
- EE5041 Advanced Control Systems
- XX-xxxx Any other elective from CS / EE
* Research Methodology is mandatory for MS with thesis.
Note 1: Registration in "MS Thesis - I" is allowed provided the student has:
- Earned at least 15 credits
- Passed the "Research Methodology" course
- CGPA is equal to or more than 2.50
Note 2: Subjected to the approval of Departmental Graduate Studies Committee (DGSC).
Program Educational Objectives (PEO)
- Provide students with advanced learning and application in a discipline or sub-discipline of electrical engineering. (Application to be added)
- Teach tools and techniques required for advanced learning, research and application in any discipline or sub-discipline of electrical engineering.
- Enhance skills such areas as problem-solving, mathematical modelling, writing & oral presentation, leadership, interrelation of business with technology and ethics as applied to electrical engineering.
Program Learning Outcomes (PLOs)
- An ability to develop deeper theoretical and conceptual understanding of an area of concentration in electrical engineering.
- Identify, formulate, and solve problems using advanced engineering principles, methodologies and tools for design, analysis and research.
- Design, validate, develop and deploy a new component, device, system, or process according to a strategy, policy, implementation plan and assess the findings within the frame of quality processes within realistic constraints.
- Recognize the impact of electrical engineering problems independently & take responsibility to conceive competent solutions in a global, economic, environmental, societal and ethical context.
- Communicate their knowledge and findings professionally and effectively using qualitative and quantitative data.