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Students
Tuition Fee
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Statistics
Discipline
Science
Minor
Mathematical Statistics and Probability
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


The programme Postgraduate Certificate in Applied Statistics is a one-year part-time course, delivered by the School of Mathematical Sciences. Classes are held in the evenings so that study can be balanced with work and personal life. This course studies a range of modern topics in statistics at Postgraduate Certificate level. The course is suitable for participants who wish to learn statistics for the first time or to build on their existing knowledge and skills set. The course will be a blend of underlying theory and practice with an emphasis on the use of modern software packages, such as R. Participants will build on the skills required to understand the value and practical usage of statistical models, interpret and challenge results and have the ability to formulate and communicate the objectives of a statistical data analysis. Researchers who use statistical analysis and modelling techniques are also suitable for this course.

Program Outline

The programme Postgraduate Certificate in Applied Statistics comprises four taught modules. The course is associated with a student work load of 30 ECTS credits. All modules are core and learning is supported by the use of software, group learning, supported practical sessions, and the student library and study facilities.

The following topics are covered in the taught modules:

  • Introduction to Probability and Statistical Inference (10 ECTS credits)
  • Statistical Programming and Applications (5 ECTS credits)
  • Linear and Generalised Regression Models (7.5  ECTS credits)
  • Topics in Applied Statistics (7.5 ECTS credits)

  • The demand for statistical expertise has never been greater, brought about, in part, by the increase in the amount of data collected and analysed by organisations and also by the expectation on both the public and private sector for excellence in the area of metrics and intelligence-based decision making. Graduates of this course will be ready to take up data analysis and data scientist roles in sectors such as finance, manufacturing and engineering, internet technology, healthcare, government and non-profit organisations.


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