About the Academic Track

The Academic Track of Economic Sciencess has a group of faculty who are interested in a variety of applied and theoretical topics. The Potgraduate Academic Track in Economics place strong emphasis on exploiting ynergies between fields such as international economics, industrial organization, applied microeconomics, political economy, and development economics.
Issues are analyzed using modern economic tools from fields such as econometrics, game theory, and economic dynamics. While these are the department’s areas of greatest emphasis, graduate course work in other fields can also be undertaken. The department’s graduate academic tracks are further nhanced by the presence of complementary graduate plans in the Postgraduate Studies Institute at International Suleiman University.

Please consult the official curriculum for further information.

Prerequisites: Ph.D. applicants must hold an MSc in Economics or closely related subject. Depending on their academic background, these applicants may be asked to follow additional courses to meet the prerequisites. Knowledge of French is not an admission requirement.

Study Duration

The period of study to obtain a doctorate degree in the Faculty of Politics and Economics is three years as a minimum, and ten years as a maximum.
The student studies in the first year no less than eight subjects, and the study is through research seminars in each course, and the research seminar depends on multiple references and is in accordance with the methodology and standards of scientific research.
In the second and third year, the student attends a general seminar for the subject of the scientific thesis that he will prepare and present for discussion
The general seminar is discussed by the scientific committee at the university and the title of the scientific dissertation is approved
The student works to complete his dissertation under the supervision of the supervisor who is decided by the university presidency based on the proposal of the college dean
The student completes his scientific thesis and presents it for discussion before the committee formed by the university presidency in a public session and completes the requirements for a doctoral degree
Courses studied in the first year, the student has the right to extend the study for a period not exceeding a second year
The scientific thesis is prepared by the student within a period of not less than one year and nine months and not more than four years

Study System

● The student studies nine courses, distributed as follows:
√ Seven compulsory courses.
√Two elective courses from among the courses offered by the faculty for doctoral students.
● The study is conducted through research seminars in each course, and the research seminar relies on multiple references and is in accordance with the scientific research methodology and standards.
● The study of each of the nine courses takes four credit hours for a minimum of four weeks, and it may be more than that according to the capabilities of each student, after which the student’s proficiency and knowledge test is held in the course he finished, then he starts in another course in the same way, and so on.
● The student is assigned two virtual courses that the faculty chooses from among the courses that the student studied at the undergraduate level. The student must divide each course from twelve to fourteen abbreviated lectures. The student presents each lecture in the form of a written summary of its topic in Word or PDF format, accompanied by a video recording of it in the student’s voice using the Power Point program, its duration is not less than ten minutes and not more than About twenty minutes.
● Courses studied in the first year, the student has the right to extend the study for a period not exceeding a second year.

The requirements for obtaining a doctoral degree are ninety credit hours according to the study plan approved by the University Council, and these requirements are distributed according to the following programs:
1- Research courses of thirty-six credit hours.
2- An academic thesis of thirty-six credit hours.
3- Practical training of eighteen credit hours.

Requirements for registering a topic for a PhD thesis
● The student must pass the prescribed courses with at least 70%.
● The student obtains a TOEFL certificate with a score of at least 450, or its equivalent, or obtains a corresponding certificate in the French language, with the exception of those who obtained a first university degree in one of the two languages, or in one of the two languages.
● The student submits a request to the university administration to register the thesis, accompanied by a proposed topic in one of the sub-specialized tracks.
● If the initial approval of the subject title is achieved, the Faculty Council shall specify a supervisor to guide the student and follow him up in preparing the plan.
● The research plan includes the importance of the topic and a critical presentation of the previous studies in it, and a specification of the research problem, then defining the study methodology and its main hypotheses or the questions that you want to answer, and the study’s division and its sources.
● The student presents his proposed plan in a scientific seminar. The plan discusses a topic and methodology.
● The student amends his plan based on the notes of the professors in the seminar if he is asked to amend it.
● The plan is presented after the seminar to the Faculty Council to take its decision regarding the registration of the subject.

Discussion and degree award
● The minimum thesis preparation period is one year and nine months, starting from the date of approval of the University Council to register the subject, and the maximum is four years that can be extended for a fifth exceptional year upon the recommendation of the supervisor and the approval of the Faculty Council, provided that the total period of the student’s enrollment in the degree does not exceed six years.
● The supervisor submits a semi-annual report that includes what has been accomplished, and what is required in the remaining period.
● After the student completes the thesis and the supervisor reviews it, the supervisor submits to the university administration a report stating its suitability for discussion, including an evaluation of the student’s performance during the thesis preparation period of 140 degrees, with a complete copy of the thesis signed by him, and a letter with the names of the discussion and judgment committee proposed by the professors of the specialization, for presentation to Faculty Council.
● It is required that at least fifteen days have elapsed prior to the student’s discussion from the date of approval of the discussion committee from the faculty.
● The period of validity of the committee formed to discuss the dissertation is six months. It may be renewed for a similar period based on a report from the supervisor and the approval of the Faculty Council.
● Each member of the committee writes a detailed scientific report on the validity of the dissertation for discussion, and evaluates the thesis out of 420 degrees, and the average of the three degrees is taken.
The student may not be discussed unless he obtains at least 70% of the supervisor’s evaluation of his performance and the committee members’ evaluation of the thesis in the individual reports.
● A collective report is presented after the discussion, signed by all committee members, in which it evaluates the thesis discussion out of 140 marks.

● In the event of approval, the decision of the Faculty Council is presented to the University Council to approve the registration, and the date of registration is calculated from the date of approval by the University Council.
The dissertation is approved after public discussion with one of the grades shown in the following table:

Score percentagepointsAppreciation symbolAppreciation
ArabicEinglish
95 to 100%4A+A+First class honors
90 to less than 95%7 , 3AA
85 to less than 90%3 , 3B+BSecond honors
80 to less than 85%3BB
75 to less than 80%7 , 2C+C+
70 to less than 75%3 , 2CC

After the faculty approves the student’s results, the doctorate degree is granted at a rate calculated from the average of the total grades of the courses and the thesis.
After obtaining the approval of the University Council to grant a doctorate degree to a student, he has the right to obtain insured certificates documented by the university stating that he obtained that degree, in order to present them to the various authorities.

Conditions for Success and Graduation

1) A student is considered successful in any of the program courses if he/she achieves a final grade of no less than 60%. He is also considered successful in the doctoral project if he obtains a score (granted to him by the judging committee) of no less than 70%.
After the student presents the results of his project before the committee, and discusses its technical content.
2) A student is not entitled to discuss his dissertation until he has published two scientific research papers in an accredited peer-reviewed journal
3) The student obtains a doctoral degree certificate after he has fulfilled all the scientific requirements for this degree

Academic Track Structure
9 courses = 36 credit hours,
 Practical Training = 18 credit hours
 Ph.D. thesis = 36 credit hours
Courses
Practical Training
Ph. D. Thesis

I. Compulsory Courses

Advanced Scientific Research Methodology

Course name: Advanced Scientific Research Methodology

Course code: DPS101

Credit hours: 4.00


The course aims to train students to prepare research in political science, by identifying the most important steps of the research process such as the research problem, scientific hypotheses, concepts and variables, data collection methods, data analysis tools, reaching conclusions and generalizations, in addition to defining the most important approaches used in The field of political science.
The curriculum inputs include: the form and type of knowledge, learners’ characteristics, needs, tendencies and interests, society’s philosophy, values, hopes and aspirations. The curriculum outcomes are: knowledge, skills, and attitudes.

Mathematical Methods in Economic Analysis

Course name: Mathematical Methods in Economic Analysis

Course code: DECO102

Credit hours: 4.00


This course focuses on mathematical methods used in modern economics. These include:
1. linear methods often used in mathematical modelling,
2. the portions of mathematical analysis relevant for studying optimization problems,
3. the construction and solution of optimization problems, and
4. the solution of difference and differential equations characteristic of modern intertemporal models, as used in both microeconomics and macroeconomics.
The first part of the course develops some basic mathematical tools of analysis which we will use to solve optimization problems. This covers roughly parts II and III of the text, and may include excerpts from parts VI and VII. The second part (part IV of the textbook) covers classical, calculus-based methods of optimization including Lagrange multipliers and the Kuhn-Tucker theorem. The methods of Lagrange and Kuhn-Tucker have been invaluable in solving many of the problems you will typically encounter in economics (consumer andproducer choice, social welfare max, etc.). We then cover the solution of difference and differential equations, and their stability properties (part V). If time permits, we will look at dynamic optimization and the Maximum Principle.

Course Objectives

By the end of the course, at a minimum, you should be able to:

  • Determine whether a linear system has a solution, and if so, how many.
  • Solve linear systems using both determinants and the Gauss-Jordan method. Find eigenvalues and eigenvectors.
  • Use the functional calculus.
  • Determine whether an optimization problem has a solution.
  • Characterize the solutions of optimization problems via the first order conditions.
  • Solve unconstrained optimization problems using first and second order conditions.
  • Solve constrained optimization problems using the Kuhn-Tucker Theorem.
  • Exploit special features such as homogeneity or convexity when solving optimization problems.
  • Solve linear difference and differential systems.
  • Characterize the long-run behavior of difference and differential systems using eigenvalues

Textbook
Carl Simon and Lawrence Blume, Mathematics for Economists, W. W.Norton, New York, 1994.
Simon and Blume’s book is the main text. I plan to cover Parts II-IV and VII of Simon and Blume, with some excerpts from Part VI. Time permitting, we will then turn our attention to Part V and dynamic models.

Advanced Macroeconomic Issues

Course name: Advanced Macroeconomic Issues

Course code: DECO103

Credit hours: 4.00


Current unsettled issues in macroeconomic analysis. Topics include disequilibrium macro models, macro models of open economies, rational expectations and its critics, government stabilization policies and the controversy surrounding the concept of Ricardian equivalence.

Empirical Public Economics

Course name: Empirical Public Economics

Course code: DECO104

Credit hours: 4.00


Studies the effects of taxation on household and firm behavior, public goods, income transfer and welfare policies. Considers fiscal federalism, public policy and economic growth. Includes selected topics on effects of legislation and institutions on economic outcome.

General Equilibrium and Economic

Course name: General Equilibrium and Economic

Course code: DECO105

Credit hours: 4.00


Risk sharing and efficient allocations are presented. Basic aggregation theory is covered producing the representative agent model. The neoclassical growth model with and without technological progress is presented, followed by the endogenous growth model. The modifications to this model produce multiple development regimes, convergence, biconvergence and switching phenomena.

Dynamic Macroeconomics

Course name: Dynamic Macroeconomics

Course code: DECO106

Credit hours: 4.00


Advanced macroeconomics beyond material covered in Macroeconomic Theory (Macroeconomic theory involving static and dynamic models and their use in analysis of economic problems and policies. Offered spring semester only.). This course covers advanced dynamic macroeconomics at a level required for conducting research in the field. Focus is on formulating and solving dynamic models of consumption, investment, economic growth, asset pricing, and unemployment. All first-year PhD students are required to take both Macroeconomic Theory (Macroeconomic theory involving static and dynamic models and their use in analysis of economic problems and policies. Offered spring semester only).

Seminar in Area Economic Development

Course name: Seminar in Area Economic Development

Course code: DECO107

Credit hours: 4.00


Consideration of recent research developments in economic development. Includes a review of research publications, journal articles and other literature. Objectives, analytical techniques and procedures are used in area or regional development efforts. Offered spring semester only. May also be offered as Seminar in Area Economic Development.

II. Elective Courses

 

Selected Topics in Economics

Course name: Selected Topics in Economics

Course code: DECO201

Credit hours: 4.00


Selected topics under the guidance of a professor. May be repeated for a maximum of four credits.

Price Theory

Course name: Price Theory

Course code: DECO152

Credit hours: 4.00


Neoclassical paradigm of market price and quantity; rigorous consideration of consumer behavior, the theory of the firm and market equilibrium, production and resource demands and the supply of resources,

Empirical International Economics

Course name: Empirical International Economics

Course code: DECO203

Credit hours: 4.00


Investigates empirical applications of international issues. Typical topics include the theoretical and empirical international issues, including the Heckscher-Ohlin model, the gravity model of trade, models of exchange rate determination and dynamic stochastic general equilibrium models.

Monetary Economics

Course name: Monetary Economics

Course code: DECO204

Credit hours: 4.00


Economic analysis of money in our economy and effects of monetary policy on prices, interest rates, output and employment.

Applications of Economic Analysis

Course name: Applications of Economic Analysis

Course code: DECO205

Credit hours: 4.00


Presentations of economic research by guest lecturers, principally department faculty members. Presentations include description of one or more research projects typically taken from a common agenda. Discussion of methodology, data and data collection. Course is for first-year PhD students.

Advanced Industrial Organizations

Course name: Advanced Industrial Organizations

Course code: DECO206

Credit hours: 4.00


Coverage of advanced concepts and methods involving strategic interaction among firms. Topics may include pricing, capacity choice, advertising, collusion and industry dynamics.

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Degree: Ph. D. Degree

Track code: PHD102PE

Study method: Distance Learning

Credit hour: 90

How long it takes: 
Full time: 3 years
Part time: 6 years
Limit time: 10 years