Please note

This document only provides information for the academic year selected and does not form part of the student contract

School:

Huddersfield Business School

Credit Rating:

15

Level (including FHEQ):

M (FHEQ Level 7)

Graded or Non Graded:

Graded

Version Valid From:

2021-09-01

Module Leader:

Nima Dadashzadeh

Version Number

2023.02

Learning Methods

Supervised Time in Studio/Workshop
Guided Independent Study
Lecture

Synopsis

With many industries generating huge volumes of data almost continuously the challenge for these industries is understanding how this data can be utilised for developing organisational value. This module will introduce students to the field of Big Data, sources, management and visualisation. Students will evaluate and consider a range of … For more content click the Read More button below.

Learning Strategy

The learning experience on the module will be formed through the use of interactive seminars which will cover theory relating to big data, management and analysis. The seminars will give students a chance to practice using techniques and software with real world datasets as well as discussing and evaluating issues … For more content click the Read More button below.

Outline Syllabus

What is Big Data: Definitions and HistoryCollecting Big Data and existing sourcesBig Data Queries and APIsLegal and Ethical issues relating to Big DataBig Data ManagementBig data for web servicesVisualisation methods for Big DataPotential applications of Big DataWeaknesses and concerns relating to Big DataDoing research with Big Data

Formative Assessment

Assessment 1: Other

Summative Assessment

Assessment 1: Written Assignment

Assessment Criteria

The module will be assessed according to the current Huddersfield Business School Assessment Criteria for Postgraduate Taught Programmes.

My Reading

Reading List