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Minor in
Data Analysis

This minor is not available to students at the Leeds and the Chiswick Campus.

Programme Structure

A minor is an optional subject of specialisation within the undergraduate degree, outside of the undergraduate major course of study, consisting of at least 12 US / 48 UK credits, from FHEQ Levels 4-6, with at least 2 courses from L5/L6. Undergraduates who add a minor to their major degree programme will normally need to complete more than the minimum 120 US/480 UK credits required for graduation. No more than one course (4 US/ 16 UK credits) may overlap within a degree between a student’s major, Liberal Arts Core and any minor. Students must follow the minor requirements for their academic year of admission, or the year of the introduction of the minor, if this is later than the year of admission. Upon graduation, any minor successfully completed is recorded on the student transcript alongside the major.

Minor in Data Analytics

US Credits

UK Credits
  • MATH 4101 Probability and Statistics

    This course in probability and statistics includes theoretical and applied approaches which are primarily designed for business, data science, social science and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distributions), continuous probability distribution (Normal distribution), sampling distributions, estimation and hypothesis testing about the mean and proportions of up to two populations, Chi-square tests, One-way ANOVA and F Distribution, linear, multiple and non-linear regression and Non-parametric methods.  SPSS lab sessions will be included targeting applications of statistical concepts to business, data science, social science and psychology. All practical work will be produced using SPSS statistical software. 

 4 16
  • DATA 5101 Data Analytics: Performance

    This course introduces students to the principles and methods of data analysis within a variety of different sport contexts. Students will learn how to collect, analyze, and interpret data relevant to various aspects of sports, such as performance analysis and athlete evaluation. In addition, students will learn how to use statistical software (including Excel, SPSS, Python and R), effectively apply software to deploy a variety of descriptive, inferential statistical and other analytical techniques, and extract meaningful insights from sports data. These analytical tools will be used throughout the course to evaluate datasets from both individual and team performance sport settings. By learning data preparation, analysis, and visualization skills, students will also develop an understanding of how sport data analytics is applied within a variety of sports industry settings.

 4 16
plus ….
  • DATA 6101 Data Analytics: Industries

    This course is a continuation of Data Analytics: Performance and introduces students to advanced methods of data analysis situated within a wide range of sports contexts. Building on the key skill developed in the previous course, students will learn how to apply data analytics to multi-varied datasets and interpret data relevant to different sports industry settings – these include various aspects of talent identification and scouting, fan engagement, and sports marketing and management strategies. By learning advanced analysis tools and techniques of different statistical software to extract meaningful insights from sports data, students will also develop an understanding of how analytics informs data-driven decision-making processes with a variety of sports industries.

 4 16
Minor Requirements 12 48

The University reserves the right to cancel or replace programmes and/or courses for which there is insufficient enrolment or concerns about academic standards, or for which the University cannot provide adequate teaching resources. Reasonable and appropriate effort is made to ensure that the content of courses corresponds with the descriptions in the University’s Programme and Course Listings.

For more detailed information on each of the course specifications, please visit our webpage here.

What is the Liberal Arts?

We understand that not everyone is familiar with the Liberal Arts education system. That is why we have produced a short guide explaining the structure at Richmond as well as the benefits.

THE LIBERAL ARTS
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