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MSc. Statistics Admissions


 

Regent University College of Science and Technology invites suitably qualified candidates for its accredited programme in MSc. Statistics. This two-year programme is aimed at providing graduates with knowledge and understanding of a broad range of advanced statistical topics and techniques. It also emphasizes the development of ones ability in solving substantial and realistic statistical problems, communicating effectively the findings and in developing new techniques. 

Why the MSc statistics Programme? The emergence of data mining and analysis means that the demand for statisticians is growing across a wide range of professions - actuarial, charitable organizations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organizations. The course is designed specifically to meet this demand.

 

Programme Distinctiveness

* It allows graduates of mathematical and statistic based disciplines to pursue MSc. Degree in Statistics.
* Convenient for workers as classes will be held in the evenings and on weekends.
* There will be seminars and workshops on topical issues.
* Applied and very interactive in nature
* 4-weeks training on statistical softwares (SPSS, SAR, R, MATLAB)

Admission Requirements

a. BSc. Statistics or Mathematics
b. First degree in Mathematics related programmes (these applicants will do a one year taught course en route the MSc. Statistics)
c. HND Statistics or Mathematics (these applicants will do a four trimester programme en route the MSc. Statistics)
d. Diploma in Statistics with project work (these applicants will do a four trimester programme en route the MSc. Statistics)
e. Candidates with Diploma in Statistics (without Project work) will do a modular Refresher Course to join the class with the Diploma with Project work.

 

Mode of Application

Each candidate is expected to submit the following documents:

  1. Duly filled in Application Form - download from here.
  2. Certified copies of relevant certificates, (include notarized English translations if the originals are not in the English language).
  3. Certified copies of academic transcripts embossed with the seal of the issuing university (include notarized English translations if the originals are not in the English language).
  4. Two filled and signed Referee Report forms, each with a recommendation letter attached. The recommendation shall be given by persons who are well acquainted with the applicant's work and studies and are in the position to judge the candidate's abilities to pursue a Master's degree.
  5. A personal resume/CV in English.
  6. Two (2) passport size photographs.

 

Course Objectives

Upon completion of the programme, graduates would have:

  • Developed a critical awareness of the application of modern statistical techniques to a variety of problems and the ability to use a range of computational tools and packages
  • Acquired a highly desirable set of skills that will enable them to work in a variety of environments
  • Had the ability to model real world situations and assist in the development of solutions in a variety of mathematical and or statistical contexts
  • Gained some experience in communicating mathematical and statistical arguments and conclusions

 

Commencement Date: October 6, 2018

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