Top Doctorates in Economic Studies in Asia 2019
The PhD is a doctoral degree, specifically called a "doctor of philosophy" degree. This is misleading because PhD holders are not necessarily philosophers (unless they earned their degree in philosophy!). That said, PhD recipients are able to engage in thought experiments, reason about problems, and solve problems in sophisticated ways.
Economics and administration is a hybrid field in which professionals are trained in both macro and micro economics. Analysis of history and understanding economic principles, along with knowledge of finance, public policy and business topics arm experts in making short and long term recommendations.
PhD Program in Economic Studies in Asia
22 Results in Economic Studies, Asia Filter
Finance as an area of expertise has extended its scope with help of developments in recent years. Besides, risk management, derivative markets, banking, insurance, behavioral finance, investment analysis and management, financial modeling, international financial markets have become academic specialization fields as sub-disciplines of finance.
Nowadays, science and technology are rapidly developing with an ever-increasing impetus and a substantial part of knowledge is comprised of quantitative data. The analysis and interpretation of this data require the use of mathematical and statistical methods.
The İzmir University of Economics, Department of Economics offers an English language based graduate program for prospective students to earn a Ph.D. degree in Economics.The program provides a high-quality alternative to similar programs both in domestic and international institutions.
PhD in Islamic Finance will enable candidates to develop the technical and intellectual ability needed to pursue research across a broad range of areas in Islamic finance. INCEIF’s PhD programme is industry-driven but yet based on strong academic fundamentals.
The GSBA Doctoral program (Ph.D.) is designed and structured to foster academic research in applied economics and management. The program is intended for candidates with outstanding intellectual abilities and a strong commitment to research.
With 12 regular academic staff, the Economics Department is large by Lingnan’s standards. Its members all hold PhDs from top universities internationally and now counts with world-renowned Professor Avinash Dixit from Princeton University as its Distinguished Adjunct Professor (spending periods of 6 to 8 weeks with us annually).
The PhD in Development Economics is a research degree offered by the Department of Economics, and is also part of the PhD pathway, 'International Development', within the Bloomsbury Doctoral Training Partnership. The latter forms one of the few Centres recognized by the UK's Economic and Social Research Council (ESRC), thereby receiving financial support, and especially individual grants, for MSc and PhD students. This PhD pathway is open to applicants whether or not eligible for, or in receipt of, ESRC funding, with ESRC-funded students expected to form a small minority overall. Successful applicants to the MPhil/PhD in Development Economics will normally have a good Master's degree in a relevant subject if entering directly into the MPhil/PhD pathway although each applicant is assessed on merits including work and other experience.
Graduate students in the Ph.D. programme of the School of Finance and Management study towards the University of London Ph.D. To be considered for the Ph.D. programme in finance or management students must already have completed a good Masters degree in a relevant discipline and been awarded high grades. They must also submit an initial research proposal that demonstrates an aptitude for academic research.
The Department of Economics of SOAS has become one of the most outstanding sites for undertaking a research degree.
The PhD programme in Finance strives to prepare students to make significant research contributions on topics such as corporate finance, financial contracts and institutions, asset pricing, market microstructure, derivatives, and international financial markets. The finance faculty works closely with students in helping them develop research topics and conduct academic research at a level that can be published in the top academic journals.
The PhD programme is a research-oriented degree programme. It is designed to enable students to concentrate in a specialized field and to provide them with the opportunity to do original, fundamental research in that field. The programme prepares students for a teaching and/or research career in universities, research institutions, businesses and in the government.
Our PhD programme is similar in structure and content to those at other top universities in the world. Students are required to undergo rigorous course training in the first two years to build up a solid foundation of knowledge on economic theories, statistics/econometrics, finance, as well as accounting.
The field of Finance is one of the disciplines that provide many high-quality job opportunities all around the world. The demand for the study of Finance is increasing, which in turn, increases the need for academicians specializing in Finance. Additionally, development of new complex financial products and instruments has triggered a profound change in the practice of Finance, necessitating more researchers and managers with quantitative skills that can be obtained during a Ph.D. study. The Ph.D. program in Finance aims to satisfy the needs of both the academic world and the capital markets for highly-qualified researchers and managers.
Why our APU Ph.D. by Research Programme? You will be assigned to a group of highly qualified supervisors; Wide range of latest research areas in the fields of computing and business administration areas; We have our regular research workshops, colloquium, and seminars facilitated by local and international academicians and professionals; Comprehensive Student Support Services; Resourceful online databases.
The Statistics (STAT) program educates students to analyze and model complex real-world problems arising in modern Statistical Data Science.