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Masters
University of Kent
Statistical Data Science - MSc
University of Kent

Statistical Data Science - MSc

UNIVERSITY OF KENT

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Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science Statistics

Course type

Taught

Course Summary

The MSc in Statistical Data Science is excellent preparation for careers in any field requiring a strong background in data science, with particular emphasis on statistics.

Overview

The programme, which has recently been updated, trains data scientists for posts in any of the multitude of companies and organisations that make use of data. Core modules give a thorough grounding in modern applications of statistics to data science and there is the opportunity to choose additional topics to study.

Statistical Data Science at Kent provides:

  • a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad change of potential employers
  • teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work.
  • advanced and accessible computing and other facilities
  • a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

About the School of Mathematics, Statistics and Actuarial Science(SMSAS)

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to statistical problems forms a significant part of the postgraduate training in the School.

Modules

MAST8820 - Statistical Data Modelling (15 Credits) - Core
Linear model. Least squares. General linear model; simple and multiple regression, polynomial regression. Model selection, residuals, outliers, diagnostics. Analysis of variance. Generalised linear model.
MAST7012 - Statistical Consultancy and Data Presentation (15 Credits) - Core
MAST9420 - Data Science with R (15 Credits) - Core
MAST7011 - Bayesian Statistics with Stan and Python (15 Credits) - Core
MAST7053 - Statistical Learning for Data Scientists (15 Credits) - Core
MAST8670 - Project (60 Credits) - Core
MAST7291 - Probability and Statistics for Data Science (30 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£9,500

International fees
Course fees for EU and international students

For this course (per year)

£18,000

Entry requirements

A minimum of 2.2, with a substantial amount of mathematics at university level. All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

University information

University of Kent-Overview
Uni profile Get prospectus

The University of Kent is an internationally renowned institution located in Canterbury and offers an impressive portfolio of postgraduate degree courses. The university teaches advanced skills, and provides access to fantastic professional networks and learning facilities to help postgraduate students realise their academic and personal goals. Kent's campuses are based in amazing locations, with two UK campuses in Canterbury and Medway...more

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