Statistics | Scholarship for Nigerians and Africans - Part 8

Masters in Data Mining at Erasmus Mundus

Masters Program for International Students:  Erasmus Mundus Master in Data Mining and Knowledge Management  approved by the ANECA (National Agency for Quality Assessment and Accreditation)

The primary social and economic value of modern societies is knowledge. For this reason, mastering Information technology for structured or unstructured information recorded in Datawarehouses, such as the Web, and containing dormant knowledge is essential to the development of both individual and society.

Data mining and knowledge management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. DMKM still comes up, however, against major scientific and technological obstacles. This EM MC’s degree in DMKM proposes specialized training in this field.

The consortium is composed of six universities among four countries: France (University of Pierre and Marie Curie Paris 6, University of Lyon Lumière Lyon 2, Polytec’Nantes), Romania (University Polithenica of Bucharest), Italy (University of East Piedmont) and Spain (Technical University of Catalonia). The Master in DMKM is based on experience in multi-site teaching gained from the Master’s degree in Knowledge Extraction from Data, which has been running since 1999 within three members of the consortium.

Admission criteria:

To be eligible to apply for the Master’s programme DMKM, students must satisfy to both of the following conditions:

* Be the holder of a Bachelor’s degree (a minimum of three years’ study at a university and corresponding to the equivalent of 180 ECTS) in the fields of Computer Science, Mathematics or Statistics:
o When applying, since visa process takes a long time, for Students living in third countries.
o By July, 15th, For Students living in EU.
* Mastering English at a level equivalent to 550 TOEFL.
On this site, a table with the conversion rate between TOEFL International score and other English proficiency scale is reported. More precisely, the minimum scores required to be acceptable for the Master are the following ones:
o TOEFL International (Paper) ? 550
o TOEFL Computer ? 213
o TOEFL IBT ? 79
o IELTS ? 6.0
o TOEIC ? 690
o VEC Online ? 74
o CPE graded B

The Master in DMKM is aimed at students from all over the world. Candidates must have a Bachelor’s degree (or equivalent) in the fields of computer science, mathematics or statistics, as well as a good level of English (TOEFL 550 or equivalent). Admission is granted on the basis of a selection procedure. Classes are taught in English and the course is composed of 18 modules of around sixty hours each. The course runs over 4 semesters.

The first semester is devoted to basic training and includes subjects in mathematics, statistics, databases, etc., whereas the two following ones are devoted to acquire two specialties among six ones, such as Complex Data Mining, Information retrieval, Knowledge acquisition and management, etc. The fourth semester is targeted to the writing of a dissertation in either a laboratory or a company. Language classes will also be provided to ensure that students integrate as well as possible in socio-cultural terms in the host country. Each student must spend (6-12) months in at least two of the four countries.

Students that have obtained 120 ECTS will automatically obtain national Master degrees from the countries in which they have studied. Classes are transmitted via video-conferencing. They are also recorded and accessible online. Students can benefit, on their site of residence, from support in the form of tutoring for each course. Tuition fees are 4,000 €/year for European students and 8,000 €/year for other students. All candidates may apply for Erasmus Mundus scholarships.

Contact detail: abdelkader.zighed@univ-lyon2.fr

Deadlines for application are:

January, 3rd, 2011 at 12:00 (GMT+2) for Non-European candidates
April, 15th, 2011 at 12:00 (GMT+2) for European Students

Apply Here

NZ Institute for Crop & Food Research Ltd Statistics Scholarship, New Zealand

The purpose of the scholarship is to encourage postgraduate study on statistical problems relevant to crop and food production and of interest to the New Zealand Institute for Crop & Food Research Ltd.

1.Applicants must be enrolled in a postgraduate programme of study in statistics at either Lincoln University or Massey University.

2.The scholarship is tenable for one year of full-time or part-time research.

3.Crop & Food Research Ltd shall approve the research project or thesis research and a Crop & Food Research biometrician shall be the second supervisor.

4.The value of the scholarship shall be $5,000 for a full-time thesis, but may be reduced on a pro-rata basis for smaller projects or part-time study.

5.The scholarship may be held concurrently with any other scholarship or award provided the regulations of the award allow it.

6.Applicants must not hold any other positions of emolument, but are permitted to undertake casual work to a maximum of 500 hours in any 12-month period.

7.Payments will normally be made in two equal instalments in April and August, subject to satisfactory progress.

8.The criteria for selection shall be academic merit and the candidate’s interest in the projects available from Crop & Food Research Ltd. The selection committee shall consist of two representatives from Crop & Food Research Ltd and the academic leaders from the Auckland and Palmerston North campuses. Crop & Food Research Ltd reserves the right not to award the scholarship in any year.

9.Applications close with the Scholarships Office, Graduate Research School on 15 December in the year prior to that in which the award will be held. Applications forms are available from Massey Contact at each campus, or email: Contact@massey.ac.nz

10. Further information may be obtained by contact: Head of Biometrics, Crop & Food Research, Private Bag 11600, Palmerston North. Telephone 06 356 8300; fax 06 351 7050.

Application Deadline 15/12/2010

For further scholarship information



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Medical Research Council Fellowships, Methodology Research, UK

MRC fellowships enable outstanding individuals to undertake challenging projects in excellent research and training environments. An MRC award is there to enable you to do something truly out of the ordinary in training and developing you as a potential research leader.

This Fellowship is open to applicants already working in, or who wish to move into, health related research. It provides up to four years’ funding for multidisciplinary research training into innovative statistical methods and their application in clinical research. Applicants should present not only a challenging research project but also clear and ambitious plans for their development as researchers able to apply advanced skills to an increasingly broad range of problems.

Who can apply?

Applicants should either hold, or expect to receive before the award starts, a doctorate in statistics, biostatistics or a related discipline and less than 5 years post-doctoral experience. However, please note that candidates without medical statistical experience are welcome to apply; provided they specify a training package appropriate to the aims of this fellowship.

At the postdoctoral level, all Fellowships provide the Fellow’s competitive salary and necessary research training costs (e.g. consumables, travel, equipment etc) and other costs allowable under Full Economic Costs (FEC). Any research staff required should be requested and clearly justified but this would be considered exceptional.

The deadline for applications is 4.00pm on Friday 8th October 2010