Statistical Data Science with an Industrial Placement (MSc)

University of Kent the United Kingdom

For more information about Statistical Data Science with an Industrial Placement at University of Kent, please visit the webpage using the button above.

The award
MSc

How long you will study
24 Months

Domestic course fees
find out

How you will study
full-time

Course starts
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International course fees
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All study options

About Statistical Data Science with an Industrial Placement at University of Kent

Location: Canterbury


The MSc in Statistical Data Science is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

The programme, which has recently been updated, trains professional statisticians for posts in industry, government, research and teaching. It provides a suitable preparation for careers in other fields requiring a strong statistical background. Core modules give a thorough grounding in modern statistical methods and there is the opportunity to choose additional topics to study.

Knowledge and understanding

  • Systematic understanding of probability and statistics and the range of principles involved.
  • Awareness of links between different statistical concepts and methods.
  • Advanced information technology skills relevant to statisticians.
  • A comprehensive range of methods and techniques appropriate to statistics at the postgraduate level.
  • The role of logical mathematical argument and deductive reasoning.
  • Appreciation of particular subject areas to which statistics is applied, and the importance of the role of statistics in those areas.

Intellectual Skills

  • Ability to demonstrate a comprehensive understanding of the main body of statistical knowledge.
  • Ability to demonstrate skill in calculation and manipulation of data.
  • Ability to apply a range of statistical concepts and principles in various challenging contexts.
  • Ability for logical argument.
  • Ability to demonstrate skill in solving complex statistical problems using appropriate and advanced methods.
  • Ability in relevant computer skills and usage.
  • Ability to work with relatively little guidance.
  • Ability to evaluate research work critically.

Subject-specific skills

  • Ability to demonstrate knowledge of advanced statistical concepts and topics, both explicitly and by applying them to the solution of problems.
  • Ability to demonstrate knowledge of statistical modelling techniques and their application.
  • Ability to abstract the essentials of problems so as to facilitate modelling, statistical analysis and interpretation.
  • Ability to present statistical analyses, including model-fitting, and draw conclusions with clarity and accuracy.

Transferable skills

  • Problem-solving skills; ability to work independently to solve problems involving qualitative or quantitative information.
  • Communication skills, including the capacity to report to others on analyses undertaken.
  • Computational skills.
  • Information-retrieval skills involving a range of resources.
  • Information technology skills including scientific word-processing.
  • Time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effective modes of working.
  • Skills needed for continuing professional development.
  • Practical experience of the application in a working environment of knowledge and skills gained through academic study.
  • To give students the depth of technical appreciation and skills appropriate to masters' level students in Statistics.
  • To equip students with a comprehensive and systematic understanding of theoretical and practical Statistics.
  • To develop students’ capacity for rigorous reasoning and precise expression.
  • To develop students’ capabilities to formulate and solve problems relevant to Statistics.
  • To develop in students appreciation of recent developments in Statistics, and of the links between the theory of Statistics and their practical application.
  • To develop in students a logical, mathematical approach to solving problems.
  • To develop in students an enhanced capacity for independent thought and work.
  • To ensure students are competent in the use of information technology, and are familiar with computers, together with the relevant software.
  • To provide students with opportunities to study advanced topics in Statistics, engage in research at some level, and develop communication and personal skills.
  • To provide successful students with the depth of knowledge of the subject sufficient to enter a career as a professional statistician.
  • To provide successful students with eligibility for exemptions from examinations of the Royal Statistical Society.

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will studyFull-timeHow long you will study24 months
    Course starts find outDomestic course fees find outInternational course fees find out

Notes about fees for this course

Full Time UK/EU: TBC EUR | Full Time Overseas: TBC EUR

Entry requirements for this course

Contact University of Kent to find course entry requirements.

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