The University of Southampton
Courses

STAT6114 Data Science Foundations

Module Overview

The aim of this module is to present a range of data science concepts, including dealing with administrative and big data sources, and to present some basic methods for data analysis.

Aims and Objectives

Module Aims

To introduce the core data science concepts, including: • Understanding of the different types of data sources available across government (admin data, survey data, open data, big data, etc); • How to collect data, including innovative data collection methods, e.g. web scraping; • Understanding the challenges with unstructured data; • How to deal with different data types in processing and analysis; • How to undertake basic data analysis with structured and unstructured data; • How to present data through basic data visualisations.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • search out and critically appraise the different types of data available for a particular task.
  • write and use a simple web-scraping program.
  • analyse simple unstructured and linked datasets, and understand the challenges and risks of using standard analysis with these types of data.
  • describe the approaches to storage and processing (including for statistical analysis) of large, unstructured datasets.

Syllabus

• Data availability, data access, data law (compare and contrast different countries in Europe), consent. • Administrative Data. Sources; modes of collection, compilation and storage; quality of administrative data. Uses of administrative data in official statistics. Case study. • Basic data analysis [machine learning, classification, regression] • Data visualisation. • Analysis methods for matched data; accounting for matching error. • Big Data in Official Statistics, sources, access. Data quality, information content, data mining. Relationships and causality. Timeliness. Case study. Web scraping exercise. • Storage, processing, selection/sampling for massive data sets.

Learning and Teaching

Teaching and learning methods

A variety of methods will be used including lectures and workshops/tutorials, mixed in a 5 day course designed for students on release from the workplace. Students are also expected to read wider than the lecture material as part of their individual study, and to critically appraise different approaches.

TypeHours
Independent Study75
Teaching25
Total study time100

Assessment

Summative

MethodPercentage contribution
Coursework 100%

Referral

MethodPercentage contribution
Coursework 100%

Repeat Information

Repeat type: Internal & External

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Approved Calculators

Candidates may use calculators in the examination room only as specified by the University and as permitted by the rubric of individual examination papers. The University approved model is Casio FX-570 This may be purchased from any source and no longer needs to carry the University logo.

Stationery

You will be expected to provide your own day-to-day stationery items, e.g. pens, pencils, notebooks, etc.

Textbooks

Where a module specifies core texts these should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. Some modules suggest reading texts as optional background reading. The library may hold copies of such texts, or alternatively you may wish to purchase your own copies. Although not essential reading, you may benefit from the additional reading materials for the module.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

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