SAS Graduate Research Fellowship
Resources for Students
SAS has a long history of commitment to supporting education, and to helping our customers meet their needs for talented people. As part of SAS' Academic Program, we have developed the SAS Graduate Research Fellowship with the aim of improving the quality of today's academic projects and enriching the skill sets of tomorrow's graduates.
If you are a current postgraduate student or doctoral candidate in business, economics, finance, statistics, mathematics or IT, then this is the opportunity for you to gain valuable support from SAS and access to an interested audience for presenting your work. If you think that your research should be shared with the business community, then the SAS Graduate Research Fellowship is something you will want to be a part of.
Successful applicants in the SAS Graduate Research Fellowship will receive a free software license to perform the analysis required, access to discounted training, access to SAS experts and technical support. The results of your research are then presented to a team of SAS specialists.
Students who are selected to participate in the program agree to share with SAS the knowledge gained through their research, thus increasing mindshare in the academic community. The work of successful applicants may be presented at a local SAS User Group conference. In cases of particularly interesting projects, the results may even be published in specialist newspapers, magazines or journals. Additionally, a select group of students from across the globe will be showcased, along with their research, on the SAS web site.
Applicants must present an organised and analytically convincing concept described within a relevant timeframe. Applicants should also provide an abstract and brief project plan to SAS. The abstract should contain a short description of the project as well as an assessment of the economic value of the project. The project plan should outline the goals of the project, as well as the timeframe and process of analysing data.
Required items for application:
- Cover letter
- Curriculum vitae
- Professional and academic references
- Recommendation letters from teaching staff
- Recommendation from company (if applicable)
- Abstract of project or thesis (maximum 300 words)
- Brief project plan
Email applications to email@example.com
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