MS (Management Sciences)

MS Management Sciences

Introduction
Eligibility Criteria
Scheme Study

Ziauddin University is a well-known Chartered University. Ziauddin University is now offering MS (Management Sciences) at North Nazimabad Campuses. The MS (Management Sciences) program is one of the research programs that is planned for individuals who want to mix business theory, practical knowledge, and professional skills in preparation for careers as faculty and management leaders. The curriculum used is integrated with experiential learning by applying the newest management tools and techniques. Research, Case studies, and project work are among the pedagogies used for delivery of the curriculum content. Students have a choice to do a Research Thesis or two courses or two IRS. It is a diverse course that has various areas of specialization including:
1. Healthcare Management
2. Rehabilitation Management
3. Technology Management
4. Finance
5. Islamic Banking and Finance
6. Human Resources Management
7. Marketing
8. Supply Chain Management
9. Entrepreneurship
10. Business Analytics

Mission

• To provide relevant and contemporary research and management knowledge and skills for career building in academia and the corporate world.
• To sensitize students of the challenges of the global, social, environmental, and ethical dimensions.

Why choose MS (Management Sciences)

Completing an MS (MS) Program, the graduate demonstrates themselves as an effective researcher and professional by solving real problems through the use of management science knowledge and with attention to teamwork, effective communication, critical thinking and problem-solving skills and preparing themselves for current and future employment and for life-long learning in advanced areas of management and related fields. After Completing MS (MS), students can pursue PhD (Management Sciences) locally and internationally.

Programme Educational Objectives

PEO1: Students will establish themselves as effective professionals by solving real problems through the use of management science research knowledge and with attention to teamwork, effective communication, critical thinking and problem-solving skills.

PEO2: Students will develop professional skills that prepare them for current and future employment and for life-long learning in advanced areas of management and related fields.

PEO3: Students will demonstrate their ability to adapt to a rapidly changing environment by having learned and applied new skills and competencies.

PEO4: Students will be provided with an educational foundation that prepares them for excellence, leadership roles along diverse career paths with encouragement to professional ethics and active participation needed for a successful career.

Programme Learning Outcomes

PLO1: Apply knowledge of management research to solve management problems.
PLO2: Apply knowledge of core management subjects like Finance, HRM, Marketing to solve business problems
PLO3: Foster analytical and critical thinking abilities for data-driven decision making.
PLO4: Ability to develop value-based leadership ability.
PLO5: Ability to understand, analyze and communicate global, economic, legal and ethical aspects of a business.
PLO6: Ability to lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.

MS (Management Sciences) Pathways

For students with a 4-year business degree / 16-years of education

Average duration of the MS (Management Sciences) program is 1.5 years.
Ten courses (30 credits) that may have option of Research Thesis (6 credits)/Two Courses
The maximum duration to complete this degree is 4 years.

Average Length of Degree Program

MS (Management Sciences): 1.5 years

MS (Management Sciences): 4 years

16 years of education with a minimum CGPA of 2.0 or equivalent
Or
14 years of education with a minimum CGPA of 2.0 or equivalent (for admission in BBA bridge + MS(MS) Program)

Total Credit Hours: 30

Semester Wise Structure

MS (Management Sciences) (1.5 Years)
Course Code	Course Title	Credit Hours
Semester – 1
MSM-510	Research Methods & Techniques	3
MSM-511	Seminar in Management	3
	Specialization I	3
	Semester Credit Hours	9
Semester – 2
MSM-512	Quantitative Tools for Research	3
MSM-513	Seminar in Finance	3
	Specialization II	3
	Research Project / Research Thesis I/Elective I/IRS	3
	Semester Credit Hours	12
Semester – 3
MSM-514	Seminar in Marketing	3
	Specialization III	3
	Research Project / Research Thesis-II/ Elective II/IRS	3
	Semester Credit Hours	9
	Total Credit Hours	30

The program structure (Scheme of Studies) and list of courses for MS (Management Sciences) is given below.

Course Description	No. of Courses	Credit Hours
Core Courses	5	15
Area of Specialization	3	9
Thesis/IRS/Elective Courses		6
Total Credit Hours		30

List of Core Courses
MSM-510	Research Methods & Techniques	3
MSM-511	Seminar in Management	3
MSM-512	Quantitative Tools for Research	3
MSM-513	Seminar in Finance	3
MSM-514	Seminar in Marketing	3

List of Specialization Courses

Finance
FIN-601	Advanced Corporate Finance	3+0
FIN-602	Advanced Financial Economics	3+0
FIN-603	Advanced Credit Management	3+0
FIN-604	Advanced Taxation Management	3+0
FIN-605	Advanced Practice & Laws of Banking	3+0
FIN-606	Advanced Consumer Banking	3+0
FIN-607	Advanced Seminar in Finance	3+0
FIN-608	Advanced Risk Management	3+0
FIN-609	Advanced Auditing	3+0
FIN-610	Advanced Performance Management	3+0
FIN-611	Advanced Credit Analysis & Investment Banking	3+0
FIN-612	Advanced Investment & Portfolio Management	3+0
FIN-613	Advanced Public Finance	3+0
FIN-614	Advanced Treasury & Funds Management	3+0
FIN-615	Advanced Green Finance	3+0
FIN-616	Advanced Managerial Finance	3+0
FIN-617	Advanced International Financial Management	3+0
FIN-618	Advanced Corporate Governance	3+0
FIN-619	Advanced Financial Statement Analysis	3+0
FIN-620	Advanced Issue in FinTech	3+0
Islamic Banking & Finance
IBF-601	Advanced Islamic Banking & Finance	3+0
IBF-602	Advanced Sharia Governance	3+0
IBF-603	Advanced Risk Management in Islamic Finance	3+0
IBF-604	Advanced Islamic Financial System	3+0
IBF-605	Advanced Insurance and Takaful Management	3+0
IBF-606	Advanced Islamic Asset and Fund Management	3+0
IBF-607	Advanced Islamic Economics: Theories and Practices	3+0
IBF-608	Advanced Islamic Microfinance: Theory and Practices	3+0
IBF-609	Advanced Islamic Capital Markets	3+0
Marketing
MKT-601	Advanced Sales Management	3+0
MKT-602	Advanced Retail Marketing	3+0
MKT-603	Advanced Cyber Marketing	3+0
MKT-604	Advanced Brand Management	3+0
MKT-605	Advanced Marketing Research	3+0
MKT-606	Advanced Export Marketing	3+0
MKT-607	Advanced Agriculture Marketing	3+0
MKT-608	Advanced Seminar In Marketing	3+0
MKT-609	Advanced Tourism Marketing	3+0
MKT-610	Advanced Services Marketing	3+0
MKT-611	Advanced International Marketing	3+0
MKT-612	Advanced Advertising Management	3+0
MKT-613	Advanced Trade Marketing	3+0
MKT-614	Advanced Marketing of Financial Product	3+0
MKT-615	Advanced Distribution Channels	3+0
MKT-616	Advanced Digital Marketing	3+0
MKT-617	Advanced Marketing Analytics	3+0
Human Resource Management
HRM-601	Advanced Labor Laws in Pakistan	3+0
HRM-602	Advanced Employee Performance Management	3+0
HRM-603	Advanced International HRM	3+0
HRM-604	Advanced HR Development	3+0
HRM-605	Advanced Cases and Exercise in Personnel/HRM	3+0
HRM-606	Advanced Organizational Development	3+0
HRM-607	Advanced Essential of Training & Development	3+0
HRM-608	Advanced Industrial Relations	3+0
HRM-609	Advanced Reward Management	3+0
Logistics & SCM
LSC-601	Advanced Strategic SCM	3+0
LSC-602	Advanced Sourcing and Logistics Management	3+0
LSC-603	Advanced Operational Planning in Supply Chain	3+0
LSC-604	Advanced Sustainable Supply Chain Management	3+0
LSC-605	Advanced Supply Chain Modeling	3+0
LSC-606	Advanced Total Quality Management	3+0
LSC-607	Advanced Inventory Management	3+0
LSC-608	Advanced Demand Forecasting	3+0
LSC-609	Advanced Operational Planning in Supply Chain	3+0
LSC-610	Strategic Operation Management	3+0
LSC-611	Strategic Procurement in Supply Chain	3+0
LSC-612	Supply Chain Strategy, Design and Compliance	3+0
LSC-613	Supply Chain Mapping	3+0
LSC-614	Enterprise Resource Planning	3+0
LSC-615	Public Procurement	3+0

Healthcare Management
HCM-601	Advanced Leadership in Healthcare	3+0
HCM-602	Advanced Change Management in Healthcare	3+0
HCM-603	Advanced Personal Management in Healthcare	3+0
HCM-604	Advanced Managerial Finance for Healthcare	3+0
HCM-605	Advanced Credit Management for Healthcare	3+0
HCM-606	Advanced Taxation Management for Healthcare	3+0
HCM-607	Advanced Risk Management for Healthcare	3+0
HCM-608		3+0
HCM-609	Advanced Brand Management for Healthcare	3+0
HCM-610	Advanced Marketing Research for Healthcare	3+0
HCM-611	Advanced Services Marketing for Healthcare	3+0
HCM-612	Advanced Advertising Management for Healthcare	3+0
HCM-613	Advanced Distribution Channels for Healthcare	3+0
HCM-614	Advanced Digital Marketing for Healthcare	3+0
HCM-615	Advanced Labor Laws in Pakistan for Healthcare	3+0
HCM-616	Advanced Employee Performance Management for Healthcare	3+0
HCM-617	Advanced HR Development for Healthcare	3+0
HCM-618	Advanced Industrial Relations for Healthcare	3+0
HCM-619	Advanced Organizational Development for Healthcare	3+0
HCM-620	Advanced Reward Management for Healthcare	3+0
HCM-621	Advanced Training & Development for Healthcare	3+0
HCM-622	Advanced Supply Chain Management for Healthcare	3+0
HCM-623	Advanced Marketing of Health Services for Healthcare	3+0
HCM-624	Advanced Inventory Management for Healthcare	3+0
Rehabilitation Management
REM-601	Advanced Professional Practice & Ethics in Rehabilitation Management	3+0
REM-602	Advanced Sports Finance	3+0
REM-603	Advanced Sports Marketing	3+0
REM-604	Advanced Leadership in Rehabilitation Management	3+0
REM-605	Advanced Change Management in Rehabilitation Management	3+0
REM-606	Advanced Personal Management in Rehabilitation Management	3+0
REM-607	Advanced Managerial Finance for Rehabilitation Management	3+0
REM-608	Advanced Credit Management for Rehabilitation Management	3+0
REM-609	Advanced Taxation Management for Rehabilitation Management	3+0
REM-610	Advanced Risk Management for Rehabilitation Management	3+0
REM-611	Advanced Sales Management for Rehabilitation Management	3+0
REM-612	Advanced Brand Management for Rehabilitation Management	3+0
REM-613	Advanced Marketing Research for Rehabilitation Management	3+0
REM-614	Advanced Services Marketing for Rehabilitation Management	3+0
REM-615	Advanced Advertising Management for Rehabilitation Management	3+0
REM-616	Advanced Distribution Channels for Rehabilitation Management	3+0
REM-617	Advanced Digital Marketing for Rehabilitation Management	3+0
REM-618	Advanced Labor Laws in Pakistan for Rehabilitation Management	3+0
REM-619	Advanced Employee Performance Management for Rehabilitation Management	3+0
REM-620	Advanced HR Development for Rehabilitation Management	3+0
REM-621	Advanced Industrial Relations for Rehabilitation Management	3+0
REM-622	Organizational Development for Rehabilitation Management	3+0
REM-623	Advanced Reward Management for Rehabilitation Management	3+0
REM-624	Advanced Training & Development for Rehabilitation Management	3+0
REM-625	Advanced Supply Chain Management for Rehabilitation Management	3+0
REM-626	Advanced Marketing of Health Services for Rehabilitation Management	3+0
REM-627	Advanced Inventory Management for Rehabilitation Management	3+0
Technology Management
TEM-601	Advanced Technopreneurship	3+0
TEM-602	Advanced Business Strategy for Technology Firms	3+0
TEM-603	Advanced Emerging Trends in Technologies	3+0
TEM-604	Advanced IT Project Management	3+0
TEM-605	Advanced Advance Business Intelligence & Analytics	3+0
TEM-606	Advanced Enterprise Resource planning	3+0
TEM-607	Advanced Principles of Technology Innovation Management	3+0
TEM-608	Advanced FinTech	3+0
TEM-609	Advanced Risk Management in FinTech	3+0
TEM-610	Advance Digital Business	3+0
Business Analytics
BUA-601	Advanced Fundamentals of Business Intelligence & Analytics	3+0
BUA-602	Advanced Legal and Ethical Issues in Business Analytics	3+0
BUA-603	Advanced Machine Learning for Business Analytics	3+0
BUA-604	Advanced Business Data and Text Mining	3+0
BUA-605	Advanced Decision Science for Business	3+0
BUA-606	Advanced Predictive Analytics	3+0
BUA-607	Advanced Database Systems	3+0
BUA-608	Advanced Digital Business	3+0
Entrepreneurship
ENT-601	Advanced Cases in Entrepreneurship	3+0
ENT-602	Advanced Managing Entrepreneurial Firms	3+0
ENT-603	Advanced Organizations & Leading Change	3+0
ENT-604	Advanced Economics of Location & Transportation	3+0
ENT-605	Advanced Social Responsibility & Entrepreneurship	3+0
ENT-606	Advanced Developing New Products and Services	3+0
ENT-607	Advanced Entrepreneurial Strategy in Emerging Markets	3+0
ENT-608	Advanced Innovation & Entrepreneurship	3+0
ENT-609	Advanced International Business	3+0
ENT-610	Advanced Corporate Entrepreneurship	3+0
ENT-611	Advanced Technology Entrepreneurship	3+0
ENT-612	Advanced Business Growth	3+0
ENT-613	Advanced Entrepreneurial Marketing	3+0

Introduction
Eligibility Criteria
Course Work
Specialization
Fee Structure

Introduction

Ziauddin University vision is to become a prestigious institution of higher education by seeking futuristic approach in imparting knowledge, skills and research/development. Keeping this in view, Ziauddin University, Faculty of Engineering Science and Technology (ZUFEST) initiated postgraduate program in the year 2017 with prior approval of HEC.

ZUFEST offers Master of Science (MS) in Electrical Engineering and Biomedical Engineering with specialization steams. With the successful launch of MS program, ZUFEST also offered PhD in Electrical Engineering as per the guidelines provided by the HEC.

Every Ph.D. student must select one Area of Specialization (AoS) in consultation with FEST RC members. A Ph.D. student must take four courses from AoS as major subjects including Independent Study. There are two compulsory courses for Ph.D. students namely Research Methodology and Simulation & Modeling. A program structure of Ph.D. Electrical Engineering is given as:

Course Description	No. of Courses	CH
Area of Specialization (AoS)	4	12
Compulsory Courses	2	6
Thesis/Dissertation		30
Total Coursework Credit Hours		48

18 Years of education with relevant specialization, Minimum CGPA 3.00/4.00 or First Division (in the Annual System) in M.Phil/M.S/Equivalent is required, Passed NTS/HEC GAT (Subject) or the University admission test.
In the case of GAT Subject test with minimum of 60% marks is required to take admission. Presently following subjects are available for GAT subject test and are eligible to apply for D. in Electrical Engineering:

Computer Engineering
Telecom Engineering
Electronic/Electrical Engineering

If the Test is not available in GAT subject list, then a University Committee consisting of at least three Ph.D. faculty members in the subject area and approved by the HEC will conduct the Test at par with GRE Subject Test and qualifying score for this will be 70% score.

Students admitted in Ph.D. Programmes have to submit the requisite GAT Subject or GRE Subject at the time of admission preferably or before the end of first semester of the respective programme.

PhD Course Work

Course work of 18 credit hours preferably in the first year is required to be completed scoring minimum 3.0 CGPA out 4.0 and followed by a comprehensive examination for granting candidacy as PhD researcher.

Comprehensive Examination Procedure

After the declaration of the result/completion of all the requirements for the course work, PGP office shall write student to fulfill the administrative requirements for the written comprehensive exam within three weeks’ time. It may includes fee clearance, exam request form submission, proposed date within the allowed duration of six months from the date of declaration of the result of the last course taken by the candidate.

Candidate may be asked to submit a tentative synopsis of the research work/selected specific research area before the written exam. Two relevant courses to that synopsis may be chosen from the candidate’s transcript either by FEST-RC or the candidate by self.

Written exam shall be scenario based that includes a complex problem to be solved by using the knowledge area(s) of interest identified by candidate either by synopsis or the opted courses.

2-3 Experts (internal/external or both) from the relevant area may set the question paper with mutual consultation and assess the paper individually. The qualitative assessment shall be done based on the approach presented to solve the given problem. The outcomes may be Pass, Pass with condition (to appear and pass the oral examination), Failure with retake and Failure.

Pass: All or majority of experts are satisfied

Pass with Condition: Majority of the experts are partially satisfied

Failure with retake: None of the experts are satisfied at all. Candidate should follow the whole process as defined for written comprehensive exam and reappear.

Failure: None of the experts are satisfied at all in the second attempt. It leads to termination from the Ph.D. program. The transcript may be issued for the taken courses after due clearance.

The Director PGP shall convey the decision to the students and the FEST-RC not later than three weeks from the date of conduct of the written examination.

Oral Examination

The focal person is the AD-PGP for all the relevant communications between student and FEST-RC. FEST-RC shall fix the date and examiner panel for the said exam. The date must be communicated to the student and the expert panel (essentially same as that for written examination) at least two weeks before the commencement.

The Panel shall be composed of at least two FEST-RC members preferably with the relevant expertise. The satisfied experts of the comprehensive exam may be excluded from the panel of oral examination. Qualitative assessment of the panel shall result in Pass, Retake or Failure.

Pass: Majority including all experts (for written exam) are satisfied

Retake: Majority (FEST-RC Members only), but none of the experts (for written exam) is satisfied

Failure: Majority (either FEST-RC Members or the experts) of the panel is not satisfied. Candidate should re-attempt the Comprehensive written exam following the defined procedures.

Result must be announced within 5 working days of the date of conduct of the oral examination.

Designating a Supervisor

Pass: Majority including all experts (for written exam) are satisfied

Retake: Majority (FEST-RC Members only), but none of the experts (for written exam) is satisfied

Failure: Majority (either FEST-RC Members or the experts) of the panel is not satisfied. Candidate should re-attempt the Comprehensive written exam following the defined procedures.

Result must be announced within 5 working days of the date of conduct of the oral examination.

Formatting of Designating Evaluation Committee

A doctoral GEC will be formed right after the supervisor(s) assignment. There must be three Ph.D members (preferably FEST-RC members with relevant specialization) in additions to the supervisor and co-supervisor (if any). At least one GEC member must be from reputed university/relevant industry/ R&D organization. The GEC shall be formed by the Director PGP with the consultation of assigned supervisor(s). The approval for the formed GEC must be taken from Director PGP and VC ZU

Once GEC is constituted, the composition of the committee can only be changed upon recommendation by both the faculty research advisor and the Director PGP and the approval of FEST-RC.

The Director PGP shall inform the candidate about GEC and ask to submit a written proposal within 6 weeks of the date of information.

In case of delay the PGP office shall write to the candidate and supervisor. Upon the appropriate response the two weeks’ time may be given for submission of proposal.

Proposal Submission & Defense Procedure

Passing the proposal phase is partially achieved by acceptance of all/majority committee members (FEST-RC/ZU-BASR) of the written proposal.

Written proposal must be well structured with all the required ingredients like the title must be well elaborated and specific to the scope of work. Motivation Problem identification, Problem definition, Literature Review, proposed methodology, measurable objectives and timeline.

Proposal with missing or lacking in any of the aforementioned details shall not be accepted and candidate may be asked to resubmit either with the same or different title. Although in case of minor deficiency(ies), with the consent of the members of the committee candidate may qualify for oral defense.

After the decision of the FEST-RC/ZU-BASR, Director PGP shall communicate the same to the candidate and the supervisor for further required action.

For the oral defense, the proposal defense date may be proposed by the supervisor and the candidate not later than a week from the date of the decision received.

The GEC and the candidate shall be informed after the approval of the date by the FEST-RC. The Director PGP shall be responsible for the necessary arrangements and announcements regarding the oral defense. GEC members will assess the proceedings. The assessment will be quantitative (Performa) as well as qualitative in terms of remarks. The outcomes may be Pass, Conditional Pass, Retake or Failure.

Outcome	Qualitative Comments	Quantitative Score	Status/Action
Pass	Satisfied	80% or above	Proposal Approved
Conditional Pass	Needs improvement	60% – 79%	Proposal approved but with a condition e.g extra course in the perceived area of weakness, external evaluation required or as suggested by house
Re-take	Major problem in the proposed methodology or feasibility issue	50% – 59%	Proposal neither approved nor rejected till the re-exam. The revised presentation in compliance to the given observations is required for the re-exam.
Failure	Unsatisfactory/Weak problem definition /exhausted area of study/conventional solution with known results	Less than 50%	Proposal rejected

The result shall be announced within a week time by the PGP office. For the Pass candidate the first progressive is due within 8 to 10 months of the proposal approval. For Conditional Pass, the candidate should fulfill the condition within maximum 6 months from the date of announcement of the result.

In case of external evaluation, the PGP office should send the case to Dean with the pool of examiners within 10 working days from the date of announcement of result. The pool shall be formed by PGP office with the consultation of the supervisor but the final examiner will be confidentially set by the Dean within a week time upon the response. PGP office will then send the proposal for evaluation. The evaluation must be sent to the GEC members, the candidate, the Dean and the Director. The candidate must report to the Supervisor with the revised proposal (if required) within a month or two at maximum. If supervisor is satisfied with the modifications and revisions then the proposal must be sent to PGP office for further submission and final approval to GEC.

Only one retake is allowed. For a re-take, a new date will be proposed by the supervisor in consultation with the candidate to the PGP office. The date should not be farther than 6 months’ time from the date of announcement of result.

First time failure leads to the resubmission of written proposal with all pre defined procedures as that for first time submission. Second time failure is the termination from the program

PhD Candidacy

Qualification and advancement to PhD candidacy is subject to:

Passing PhD coursework with required CGPA
Passing PhD qualifying examination
Formulation of Guidance & Examination Committee (GEC)
Writing and successfully defending the research proposal

Dissertation Credits

In addition to coursework, all PhD scholars must register in doctoral research of 30 Cr Hrs and submit progress reports approved by the supervisor.

PhD Progress Evaluation

There will be three progressive presentations before the final defense. The first progress evaluation should be done within 8-10 months’ time from the date of the approval of the Research Proposal. The second and the third progress evaluation are due after every 6 months (minimum) or 8 months (maximum) of the successful previous evaluation. The Supervisor should request for the date of due evaluation (1, 2 or 3) based upon the respective checklist.

Checklist for 1^st Progress Presentation:

Literature review; any new development relevant to the proposed methodology since the time of proposal defense
In case of external evaluation of the research proposal, the recommendations and observations (if any) of the expert are incorporated and addressed.
Magnitude of the work done; status of targeted objectives (as per given time line at the time of proposal defense) must be completed. In case of partially achieved objectives due justification must be provided by the candidate.
Preliminary results; in terms of development and implementation of the proposed methodology /Test bed/ verification platform/protocol design
Next target identification for the 2^nd progressive

Checklist for 2^nd Progress Presentation:

Review Paper/ Preliminary results published or at least accepted for publication in any ISI indexed conference proceedings. (List of ISI Indexed conferences available at Thomas Reuter’s official website)
Completion of milestones as committed in 1^st progress evaluation
Observation(s) received by the panel in the previous evaluation are incorporated
Current status of results is satisfactory and in the direction of the goal set for the study
Next target identification for the 3^rd progressive

Checklist for 3^rd Progress Evaluation:

Publication requirement must be fulfilled as per HEC criteria / ZUFEST Ph.D. policy
Observation(s) received by the panel in the previous evaluation are incorporated
Final results are obtained
Analysis of results is sufficient to draw a conclusion
Research outcomes/ preliminary conclusion is clearly defined
First draft of the thesis is ready to present (optional)

The outcomes of the 1^st progressive may be Satisfactory, Partially satisfactory or Unsatisfactory based upon the qualitative assessment done by the GEC on a prescribed Performa. The major attributes to be checked will be point 3 and 4 of the respective checklist. The results should demonstrate the following:

Key parameters of the study
Effect of input on expected outputs

Validation of results by comparing either with experimental data & theoretical model or with reference to the published results

Highlighting deviations/improvements and their justifications

Outcome	Quantitative Score	Action
Satisfactory	80% or above	Through for the 2^nd progress evaluation
Partially Satisfactory	60% – 79%	Through for the 2^nd progress evaluation with the condition that point 3 given in the checklist for the aforementioned is compulsory to be fulfilled before the next evaluation
Unsatisfactory	Below 60%	1^st Attempt: Re-take the Progress evaluation within 3 months of the date of conduct of the 1^st evaluation
Unsatisfactory	Below 60%	2^nd Attempt: Candidate may choose among the two options; 1.Termination from the Ph.D degree program with a Post Graduate Diploma (PGD), 2. Repeat the procedure for the re-submission of the fresh Research Proposal

The outcomes of the 2^nd progressive may be Satisfactory, Partially satisfactory or Unsatisfactory based upon the qualitative assessment done by the GEC on a prescribed Performa.

Outcome	Quantitative Score	Action
Satisfactory	80% or above	Through for the 3^rd progress evaluation
Partially Satisfactory	60% – 79%	Through for the 3^rd progress evaluation with the condition that point 2 given in the checklist for the aforementioned is compulsory to be fulfilled before the next evaluation
Unsatisfactory	Below 60%	1^st Attempt: Re-take the Progress evaluation within a month time from the date of conduct of the evaluation
Unsatisfactory	Below 60%	2^nd Attempt: Termination from the Ph.D degree program with a Post Graduate Diploma (PGD)

The outcomes of the 3rd progressive may be Satisfactory, Partially satisfactory or unsatisfactory based upon the qualitative assessment done by the GEC on a prescribed Performa. The FEST-RC members should also be invited to witness the 3rd progress evaluation.

Outcome	Quantitative Score	Action
Satisfactory	80% or above	Through for the thesis submission and evaluation
Partially Satisfactory	60% – 79%	Through for the thesis submission and evaluation after complying all the observations and recommendations of the GEC. The supervisor will check the compliance.
Unsatisfactory	Below 60%	1^st Attempt: Comply all the observations and recommendations of the GEC and submit within a month from the date of evaluation. DRC shall check the compliance (either by documented evidence or by hearing candidate) to approve the case for thesis submission and evaluation.
Unsatisfactory	Below 60%	2^nd Attempt: Candidate may choose either termination from the Ph.D degree program with a Post Graduate Diploma (PGD) or to appear for M.Phil Exam

Thesis Submission and Evaluation Procedure

Candidate should submit the thesis in specified format to the office of AD PGP with the proper approval of assigned supervisor(s) not later than 3 months of 3^rd Progress Evaluation.

Director PGP shall send thesis for the scanning to the PGP examination department within 3 days. Scanning report should not be delayed more than 5 working days from the date of received by the examination.

If the report is satisfactory then Director PGP should write to the supervisor to submit the pool of external (foreign) and internal (national) evaluators for the thesis, not later than 10 working days of the request.

If the report is unsatisfactory then Director PGP should communicate the result to the candidate and share the report with the supervisor. The candidate should resubmit the revised thesis draft within a month time for rescan.

The Dean/ZU-BASR shall finalize two evaluators from each pool. The Director PGP shall acquire the consent and send the thesis draft to the chosen experts. In case of regret, the case may be redirected to the Dean for the re-nomination of the evaluator(s).

The Evaluation reports should be received in 3-4 months time. If not then a reminder may be sent by Director PGP to the relevant expert. The evaluation report should be immediately sent to the GEC and the candidate.

In case of minor revisions, the supervisor may request and propose the date for the thesis defense in consultation with the candidate. FEST-RC shall take decision in this regard.

In case of major revisions, GEC shall advise the FEST-RC about the required time to address and remove the observations made by the experts.

Depending upon the quantum of change, in the results and conclusion that may occur due to the required revisions, the FEST-RC shall take decision about the re-evaluation. If the re-evaluation of the thesis is required then the thesis should be preferably sent to the same evaluator provided his consent. In case of regret the case may be redirected to the Dean for the re-nomination of the evaluator(s).

The FEST-RC decision shall be immediately conveyed to the candidate and the supervisor(s).

Final Thesis Defense Procedure

Upon receiving the decision of FEST-RC about the supervisor’s request to conduct the Thesis Defense, the Director PGP should get the consent of the internal evaluators of the thesis to assess the oral defense as an external examiner. In case of regret the Dean and the Vice Chancellor shall nominate the external examiner from the submitted list of internal evaluators/examiners’ pool by the supervisor.

The examination panel shall include nominated external examiners and GEC members, Director PGP. The Dean must also be invited by the Director PGP.

The outcome of the defense may be Successful, Conditionally Successful or Unsuccessful based upon the qualitative assessment done by the GEC on a prescribed Performa.

Outcome	Action
Successful	No revisions required, degree should be awarded after necessary formalities
Conditionally Successful	Minor revisions suggested by external examiner; re-submit the final draft after compliance with the approval from the supervisor with in the given time by the examination panel. Degree should be awarded after necessary formalities
Unsuccessful	1^st Attempt: Lack of information or fails to provide enough data to establish the evidence for the drawn conclusion. Re-take the oral defense with complete resources and evidence.
Unsuccessful	2^nd Attempt: M. Phil may be awarded

Policy for Publications

A student must have a minimum of 02 research papers published/accepted for publication, preferably presented in HEC approved journals/international conferences of good repute, out of which at least one research paper must be published in an ISI indexed journal (with impact factor) in the relevant area as specified by FEST-RC.
Only those publications related to the research work will be counted in which the student name appears as 1st author and supervisor or co-supervisor as 2nd or 3rd author and clearly mentions student affiliation with Ziauddin University, Faculty of Engineering Sciences and Technology.
FEST-RC is the final authority on determining whether the research publication meets the prescribed standards and requirements.

Plagiarism Test

It is a mandatory part of dissertation evaluation process. The supervisor will make sure that prior to submission, research work passes through anti-plagiarism software before it is sent for evaluation.

Degree Requirement

18 Cr. Hr. Coursework with CGPA 3.0 or above
30 Cr. Hr. Thesis with two Research Publication in HEC Approved Journal List.

Scheme of Study

S. No	Specialization	Course Code	Course Title	Credit Hrs
1	Power System Engineering	EE 801	Research Methodology	3+0
2		EE 802	Analysis of Stochastic Systems	3+0
3		EE 803	Advanced Simulation and Modeling	3+0
4		EE 804	Advanced Digital Signal Processing	3+0
2		EE 822	Advanced Instrumentation	3+0
3		EE 851	Power System Reliability	3+0
4		EE 852	Advanced Smart Grid	3+0
5		EE 853	Advanced Renewable Energy Systems	3+0
6		EE 854	Advanced Electrical Machines and Drives	3+0
7		EE 855	Modeling and Simulation of Power System Components	3+0
8		EE 856	Modeling and Simulation of Electrical Machines	3+0
9		EE 857	Distribution System Modeling and Analysis	3+0
11		EE 805	Optical Communication Systems	3+0
13		EE 806	Satellite, Fixed and Mobile Radio Systems	3+0
14		EE 808	Queuing Theory	3+0
15		EE 810	Telecommunication Traffic Engineering	3+0
16		EE 811	Linear System Theory	3+0
17		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
18		EE 813	Optimization Theory	3+0
19		EE 813	Optimization Theory	3+0
20		EE 821	Electronic System Design	3+0
21		EE 823	Advanced Power Electronics	3+0
22		EE 824	Robotics	3+0
23		EE 825	Advanced Digital System Design	3+0
24		EE 826	Adaptive Control Systems	3+0
25		EE 826	Adaptive Control Systems	3+0
26		EE 827	PLCs and Control Systems	3+0
27		EE 828	Advanced Classical Control Systems	3+0
28		EE 830	Network and Embedded Control Systems	3+0
29		EE 831	Error Control Coding	3+0
30		EE 834	Process Control	3+0
31		EE 840	Selected Topics in Control and Automation	3+0
32		EE 841	Convex Optimization	3+0
33		EE 842	Multivariable Control Theory	3+0
34		EE 843	Non-Linear Control Systems	3+0
35		EE 844	Optimal Control Systems	3+0
36		EE 845	Predictive Control	3+0
37		EE 846	Mobile Robotics	3+0
38		EE 850	Adaptive Filter Design	3+0
39		EE 860	Neural and Fuzzy Systems	3+0
40		EE 861	Advanced Computer Networks	3+0
41		EE 862	Internetworking Architectures, Protocols and Applications	3+0
42		EE 863	Advanced Digital Communication	3+0
43		EE 864	Wireless and Mobile Communication Systems	3+0
44		EE 865	Multimedia Networking	3+0
45		EE 866	High Speed Broadband Networks	3+0
46		EE 867	Network Performance Analysis	3+0
47		EE 868	Network Management	3+0
48		EE 869	Wireless Multiple Access Communication	3+0
49		EE 870	Information Theory and Coding	3+0
50		EE 871	Next Generation Networks	3+0
51		EE 872	Wireless Sensor Networks	3+0
52		EE 873	Computer and Network Security	3+0
53		EE 874	Selected Topics in Communication Systems	3+0
54		EE 875	Machine Vision	3+0
55		EE 876	RF and Microwave Engineering	3+0
56		EE 881	Advanced Communication Networks	3+0
57		EE 882	Advanced Artificial Intelligence	3+0
58		EE 883	Selected Topics in Computer and Communication Networks	3+0
59		EE 884	Web Services and Service Oriented Architecture	3+0
60		EE 885	Cloud Computing	3+0
61		EE 886	Cryptography	3+0
62		EE 887	Ubiquitous Computing	3+0
63		EE 888	Graphics Programming	3+0
64	EE 895	Internet Protocols	3+0
65	EE-858	Power Quality	3+0
66	EE-859	Digital Signal Processing in Power System	3+0
67	EE-889	Energy Management	3+0
68	EE-890	Energy Audit	3+0
70	EE-891	Artificial Intelligence Techniques in Power System	3+0
71	EE-892	Selected Topics in Power Systems	3+0
75	EE-893	Advanced Electrical Machine Design	3+0
76	EE-894	Nuclear Energy Engineering	3+0
	Control and Automation	EE 801	Research Methodology	3+0
		EE 802	Analysis of Stochastic Systems	3+0
		EE 803	Advanced Simulation and Modeling	3+0
		EE 804	Advanced Digital Signal Processing	3+0
78		EE 811	Linear System Theory	3+0
79		EE 813	Optimization Theory	3+0
80		EE 815	Machine Learning	3+0
81		EE 820	Smart Grid Architecture	3+0
82		EE 821	Electronic System Design	3+0
83		EE 822	Advanced Instrumentation	3+0
84		EE 823	Advanced Power Electronics	3+0
85		EE 824	Robotics	3+0
86		EE 825	Advanced Digital System Design	3+0
87		EE 826	Adaptive Control Systems	3+0
88		EE 827	PLCs and Control Systems	3+0
89		EE 828	Advanced Classical Control Systems	3+0
90		EE 830	Network and Embedded Control Systems	3+0
91		EE 834	Process Control	3+0
92		EE 840	Selected Topics in Control and Automation	3+0
93		EE 841	Convex Optimization	3+0
94		EE 842	Multivariable Control Theory	3+0
95		EE 843	Non-Linear Control Systems	3+0
96		EE 844	Optimal Control Systems	3+0
97		EE 845	Predictive Control	3+0
98		EE 846	Mobile Robotics	3+0
99		EE 850	Adaptive Filter Design	3+0
100		EE 860	Neural and Fuzzy Systems	3+0
		EE 875	Machine Vision	3+0
101		EE 896	Internet of Things	3+0
	Telecommunication Systems	EE 801	Research Methodology	3+0
		EE 802	Analysis of Stochastic Systems	3+0
		EE 803	Advanced Simulation and Modeling	3+0
		EE 804	Advanced Digital Signal Processing	3+0
103		EE 805	Optical Communication Systems	3+0
104		EE 806	Satellite, Fixed and Mobile Radio Systems	3+0
105		EE 807	Digital Design for Communication Systems	3+0
106		EE 808	Queuing Theory	3+0
107		EE 809	Radar Systems	3+0
108		EE 810	Telecommunication Traffic Engineering	3+0
109		EE 811	Linear System Theory	3+0
111		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
112		EE 814	Electromagnetic Compatibility and Interface	3+0
113		EE 820	Smart Grid Architecture	3+0
114		EE 831	Error Control Coding	3+0
115		EE 832	GIS and Remote Sensing	3+0
116		EE 850	Adaptive Filter Design	3+0
117		EE 861	Advanced Computer Networks	3+0
118		EE 862	Internetworking Architectures, Protocols and Applications	3+0
119		EE 863	Advanced Digital Communication	3+0
120		EE 864	Wireless and Mobile Communication Systems	3+0
121		EE 866	High Speed Broadband Networks	3+0
122		EE 867	Network Performance Analysis	3+0
123		EE 868	Network Management	3+0
124		EE 869	Wireless Multiple Access Communication	3+0
125		EE 870	Information Theory and Coding	3+0
126		EE 871	Next Generation Networks	3+0
127		EE 872	Wireless Sensor Networks	3+0
128		EE 873	Computer and Network Security	3+0
129		EE 874	Selected Topics in Communication Systems	3+0
130		EE 876	RF and Microwave Engineering	3+0
131		EE 877	IP Telephony and Voice over IP	3+0
132		EE 878	Multilayer Switching Architecture	3+0
133		EE 879	Machine Learning	3+0
134		EE 881	Advanced Communication Networks	3+0
		EE 895	Internet Protocols	3+0
135		EE 896	Internet of Things	3+0
	Computer and Communication Networks	EE 801	Research Methodology	3+0
		EE 802	Analysis of Stochastic Systems	3+0
		EE 803	Advanced Simulation and Modeling	3+0
		EE 804	Advanced Digital Signal Processing	3+0
137		EE 805	Optical Communication Systems	3+0
138		EE 810	Telecommunication Traffic Engineering	3+0
140		EE 811	Linear System Theory	3+0
141		EE 812	QoS Architecture for Multimedia Wireless Networks	3+0
142		EE 816	Advanced Computer Architecture	3+0
143		EE 820	Smart Grid Architecture	3+0
144		EE 850	Adaptive Filter Design	3+0
145		EE 860	Neural and Fuzzy Systems	3+0
146		EE 861	Advanced Computer Networks	3+0
147		EE 862	Internetworking Architectures, Protocols and Applications	3+0
148		EE 863	Advanced Digital Communication	3+0
149		EE 864	Wireless and Mobile Communication Systems	3+0
150		EE 865	Multimedia Networking	3+0
151		EE 866	High Speed Broadband Networks	3+0
152		EE 867	Network Performance Analysis	3+0
153		EE 868	Network Management	3+0
154		EE 869	Wireless Multiple Access Communication	3+0
155		EE 870	Information Theory and Coding	3+0
156		EE 871	Next Generation Networks	3+0
157		EE 872	Wireless Sensor Networks	3+0
158		EE 873	Computer and Network Security	3+0
159		EE 876	RF and Microwave Engineering	3+0
160		EE 877	IP Telephony and Voice over IP	3+0
161		EE 878	Multilayer Switching Architecture	3+0
162		EE 879	Machine Learning	3+0
163		EE 880	Internet Programming	3+0
164		EE 881	Advanced Communication Networks	3+0
165		EE 882	Advanced Artificial Intelligence	3+0
166		EE 883	Selected Topics in Computer and Communication Networks	3+0
167		EE 884	Web Services and Service Oriented Architecture	3+0
168		EE 885	Cloud Computing	3+0
169		EE 886	Cryptography	3+0
170		EE 887	Ubiquitous Computing	3+0
171		EE 888	Graphics Programming	3+0
172		EE 895	Internet Protocols	3+0
		EE 830	Error Control Coding	3+1
173		EE 896	Internet of Things	3+0

Duration and Semester Wise Break Up

Typical / Average duration for PhD program is 04 years and maximum duration is 8 years. A generalize semester-wise break-up is as follows:

SEMESTER-I			SEMESTER-II
Course ID	Course Title	Cr. Hrs.	Course ID	Course Title	Cr. Hrs.
ABC-xxx	AoS – I	3	ABC-xxx	AoS – III	3
ABC-xxx	AoS – II	3	ABC-xxx	AoS – IV	3
ABC-xxx	Research Methodology	3	ABC-xxx	Simulation & Modeling	3
Semester CH		9	Semester CH		9
SEMESTER-III			SEMESTER-IV
Comprehensive Exam			Thesis/Dissertation (Proposal Defense)
SEMESTER-V			SEMESTER-VI
Thesis/Dissertation (Progress Report-I)			Thesis/Dissertation (Progress Report-II)
SEMESTER-VII			SEMESTER-VIII
Thesis/Dissertation (Progress Report-III)			Thesis/Dissertation (Defense)

Tution fee/ credit	Exam fee / credit	No. of credit / sem	Tution fees	Exam fees	Sem registration fee
15000	3000	3	45000	9000	–
Activity fee / sem	Security Deposit	Enrollment fees	Semester fees	Admission fee
0	5000	10000	89,000	20000

Note: Any additional taxes imposed by the government will be the liability of the students/parents/guardian.

The University reserves the right to increase the fees if required according to the recommendation of the Governing Body.

At the time of admission, selected candidates will be required to deposit fee either under Option 1 or Option 2. Therfore monthly or semester fee will be deposited by students within two weeks of commencement of every semester in advance accoring to the official notification on the notice board. 2% surcharge per month will be levied on outstanding fees after the due date.

The students claiming exemptions from any course or courses will be required to pay exemption fee @ Rs. 2,500/- per subject in the beginning of semester.

Fees once deposited are not refundable, except security deposits, for any reason whatsoever.

MS Management Sciences

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