National-University-of-Computer-and-Emerging-Sciences1.jpg' alt='Best University For Software Engineering In Karachi Which University' title='Best University For Software Engineering In Karachi Which University' />The Department of Biosciences, Faculty of Life Sciences, Mohammad Ali Jinnah University, Karachi is pleased to organize Mini Symposium on 30th November, 2017, from 10. University Admissions Universities Admissions in Pakistan 2. University of Sargodha UOS admission 2. BA, MA, B. ed, Bsc, Msc, Engineering, B. BBA, MBA, BCS, MBBS, Pharmacy up to Ph. D. Admission in Sargodha university is continue reading. FAST National University. Ph. D Management SciencesAdmission Process    Application Form. Program Overview. The Ph. D program provides high quality management education to business scholars i. Chloride Software For Power Start 600 Lb. The program is designed to discover management scholarship which is intellectually rigorous, morally intensive, socially integrative, culturally relevant and globally acknowledged. Ph. D scholars will be encouraged to carry out original work through research which connects strongly with resolving local, national and global challenges of significance. Ph. D in Management is offered at Islamabad at Lahore Campus. The Islamabad Campus is currently offering Ph. D in the following areas of specialization Management. The International Islamic University is a unique institution of higher learning which integrates the two parallel streams of religious and other education systems. UET Lahore Is best Institute for Mechatronics Engineering In Pakistan. Mechatronics Engineering universities in Pakistan create a high scope in Pakistan. Explore our undergraduate programs and find an academic path thats right for you. Study established or emerging academic fields, pursue an honours degree, combine. Comsats university Islamabad admission 2017 are opened for BCS, MCS, BBA, MBA, Ph. D with graduate and undergraduate programs. Here we have detailed information about. Best University For Software Engineering In Karachi Which University' title='Best University For Software Engineering In Karachi Which University' />Finance. Human Resource Management. Technology Management. WHat do you say about Electronics Engineering In IQRA University Karachi main campus. Woh to best hay bhai. A private Information Technology institute, established in 1980 under Foundation for the Advancement of Science and Technology FAST. Mayor Karachi Wasim Akhtar said KhatmeNabuwaat SAW is the core of our faith on which we all believed, the country was already engulfed by terrori. New-Admissions-Open-2017-Sir-Syed-University-of-Engineering-Technology-Karachi-for-Bachelors-Degree-Programs-Application-Form-Deadline-23-09-2016-Apply-Now.jpg' alt='Best University For Software Engineering In Karachi Which University' title='Best University For Software Engineering In Karachi Which University' />Eligibility. A Masters degree in a relevant subject, earned from a recognized university after a minimum of 1. CGPA of at least 3. A minimum of 6. 0 marks and at least 5. NTS subject test. The NTS GAT Subject Score should be valid at the time of admission. Selection Criteria. Admission is based on a candidates performance in the following Performance in International GMAT or an equivalent test as per HEC rule. Interview and assessment by the Doctoral Admissions Committee FSM DACSubmission of Research Proposal for the purpose of evaluationScheme of Study. The Ph. D program requires candidates to take six graduate level courses 1. Cr. hrs. There are four core courses, listed below. The remaining two can be taken from graduate level courses in the Faculty of Management Sciences or from the specialization electives for Ph. Ds with the recommendation of the supervisor. On completion of the coursework, students are required to pass a qualifying comprehensive examination, defend their research proposal and then carry out research in the chosen area. The candidates are also required to publish research papers in journals of international repute, as per prevalent requirements. List of Core Courses. Title. Cr. hrs. Title. Cr. hrs. Philosophy of Management Science. Quantitative Methods in Management Research 3. Research and Theory in Management. Qualitative Methods in Management Research. Note Deficiency courses may be recommended by FSM DAC for selected candiates on case to case basis. Outlines of Core Courses These are broad guidelines only. Instructors may vary emphases on individual topics and themes and bring additional topics that they see fitPhilosophy of Management Science MG6. It is said that management is governing and leading without recourse to political power or religious authority. This advanced level course will help students to realize and appreciate the nature of management field to a greater maturity and sophistication by interchangeably addressing the philosophical aspects of management and managerial aspects of philosophy. Accordingly, the process that will be used will start with, and put major focus on, developing an understanding of the evolution of management and organizational philosophy in a chronological order by classifying the work of central theorists and authors from a perspective that clarifies their relevance with the mainstream theory building in the field of management. The idea is to dissect the body of knowledge in management science i. OB perspective, structural organization theory, systems theory and organizational economics, power and politics, organizational culture and environment, and postmodernism, etc. Research and Theory in Management MG6. A theory is said to be an ordered set of assertions about a generic set of behavior that hold true for a wide range of specific instances. But where do new theories come from How theories are built starting from a very basic research question And can theories be good or bad since once popularized they not only explain behavior but influence behavior in a certain direction. Finally, what constitutes a weak or a strong theoryThe aim of this course is to develop a critical appreciation ofthe role of research in theory development in Management as well as introducing doctoral students to the art and science of theory construction and model building. Topics include examining the nature of being ontology and knowing epistemology, exploring the basic structure of argument and evidence, developing a pertinent and interesting research question, defining constructs, imagining relationships and processes that link constructs, and linking and combining constructs in an innovative way to develop new theories or build further upon existing behavioral models. This course demands intensive preparation on part of students in terms of readings prior to the lectures so that lively discussions can be generated in the classroom, research exercises tailored to each students research topic can be accomplished, and a term paper be completed. Qualitative Methods MG 5. This course will introduce a range of qualitative research methods and the means of assessing the key assumptions underlying the selection and use these methods. Building on the fundamental questions about the nature of knowledge and whether true knowledge or reality can exist, the discussions will provide a deep understanding of the advantages and challenges in carrying out qualitative research. Examples of topics covered include interviews, focus groups, ethnography, documentary and textual analysis, discourse analysis, language and conversation analysis, case studies, participatory action research and grounded theory. Categorization and coding of data will be covered in detail. The course will include labs to introduce software for qualitative data analysis. The course will also cover the growing significance of qualitative research techniques across the modern and postmodern era. Further, scholars will be encouraged to analyze and understand various approaches to writing qualitative papers. Quantitative Methods MG 5. This course will introduce a range of advance quantitative research technique and develop an understanding of the potential and limitations of statistical analysis. Building on the positivist paradigm, the course will briefly revise concepts of probability, sampling, hypothesis development, developing constructs, associations and basic analyses for differences between groups. Examples of main topics covered include various types of regression, discriminant analysis, MANOVA, analysis of covariance, principal component and factor analysis, cluster analysis, structural equation modelling, survivalfailure analysis and time series analysis. The course will include labs to introduce software for quantitative data analysis. Scholars will be encouraged to analyze and understand articles which have used a variety of quantitative methods, developing the capacity to choose advance techniques suitable for their research questions.