Program Information
| Duration | : | 3 years |
| Level | : | PHD |
| Shift | : | Evening |
| Credit Hrs | : | 42 |
| Semester | : | 6 |
Similar Programs
PhD In Software Engineering
Overview:
OBJECTIVE:
The objective of the Ph.D. in Software Engineering program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development. Following are the program educational objectives for PhD SE Program.
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PEO-1: Produce highly competent, responsible, and innovative researchers and professionals in Software Engineering who can contribute significantly to academia, industry, and society through advanced research, development, and innovation in high-quality software systems. |
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PEO-2: Foster lifelong learning and independent research capabilities to enable graduates to adapt to emerging software technologies, advanced methodologies, and evolving research and industry practices throughout their professional careers. |
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PEO-3: Develop strong scholarly communication, collaboration, and leadership skills, while promoting awareness of social, ethical, legal, and professional responsibilities in advanced Software Engineering research and practice. |
Eligibility:
a. MS/MPhil Degree (18 years of education with 6 credit hrs. research) in relevant discipline from HEC recognized University with minimum 3.0 out of 4.0 CGPA under semester system OR 1st Division under annual system.
b. Selection in the respective program will be subject to availability of seats, merit based on academic qualification, valid GRE International / NTS / NUML devised GAT- subject score and interview.
c. Applicants with valid GRE International/GAT-Subject from NTS will have to pass written/subjective portion of NUML GAT-S (as per schedule of respective Faculties) to secure admission.
d. Candidate qualified for interview will have to submit and present a Statement of Purpose1500-2000 words (inclusive of title of research, intended field, potential research and passion for area of research) for PhD studies at the time of interview.
e. For Management Sciences only: Candidates who have completed 30 credit hours of coursework in the case of professional degrees at the master's level, such as MBA and MS in Project Management are also eligible. However, preference will be given to those who have MS Degree with research at Level-7.
Courses:
| S.No | Course Code | Subject | Credit Hours |
|---|---|---|---|
| 1 | SERM-867 | Advanced Topics in Research Methodology | 3 |
| 2 | SESR-861 | Advanced Topics in Software Risk Management | 3 |
| 3 | SEQA-862 | Advanced Topics in Software Testing and Quality Assurance | 3 |
| 4 | SERE-865 | Advanced Topics in Software Requirement Engineering | 3 |
| 5 | SEIS-863 | Independent Study - I | 3 |
| 6 | SEIS-864 | Independent Study - II | 3 |
| 7 | SESA-866 | Advanced Topics in Software Design and Architecture | 3 |
| 8 | SEDM-870 | Advanced Topics in Data Mining | 3 |
| 9 | SEAM-868 | Advanced Topics in Agile Software Development Methods | 3 |
| 10 | SEPM-869 | Advanced Topics in Software Project Management | 3 |
| 11 | SEML-871 | Advanced Topics in Machine Learning Applications | 3 |
| 12 | SEIS-872 | Information Security Governance, Risk and Compliance | 3 |
| 13 | CSSP-871 | Special Topics in Software Prediction | 3 |
| 14 | CSST-872 | Research Trends in Software Testing | 3 |
| 15 | CSPM-883 | Special Topics in Software Project Management | 3 |
| 16 | CSAM-884 | Research Trends in Agile Software Development Methods | 3 |
| 17 | CSMG-867 | Research Trends in Data Management | 3 |
| 18 | CSIP-868 | Advance Topics in Image Processing | 3 |
| 19 | CSDM-869 | Special Topics in Data Mining | 3 |
| 20 | CSNN-870 | Research Trends in Neural Networks | 3 |
| 21 | CSAI-863 | Advanced Topics in Artificial Intelligence | 3 |
| 22 | CSDA-887 | Advanced Topics in Big Data Analytics | 3 |
| 23 | CSML-889 | Research Trends in Machine Learning | 3 |
