Data analytics and Big Data

Data and Business Intelligence

Unit Code
Level 7
Distance Learning
Class Room
Unit Code
Level 7
Distance Learning Fee
Face to Face Fee
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Total Fee £1600

£2360 (£1600 during the tuition waiver period)

Please see the Tuition Fee section to see if you are eligible for a scholarship.
Course Overview

This unit will focus on the importance and uses of big data in today’s world. This will include how data analysis and big data can be used to provide greater knowledge in certain areas, for example with crime detection and police systems. Learners will also focus on the considerations that need to be made in relation to storing, searching and reporting on big data sets.

Course Content

Introduction to the module

The Fundamentals of Big Data

  • Big Data Defined
  • The Sources of Big Data
  • The Benefits of using Big Data Sets
  • The Different Uses of Big Data Sets
  • The Problems Associated with Using Big Data
  • Some Ethical Big Data Challenges

The Structure, Size and Security of Big Data

  • Structured and Unstructured Data
  • The Problems Associated With Using and Storing Big Data
  • Distributed Computing With Big Data
  • Privacy and Security Concerns in Big Data
  • Discrimination, Social Cooling, Big Data Divide and Social Sorting

The Characteristics of Data Analysis

  • Big Data Analytics
  • Conceptualizng Data Analysis as a Process
  • Managing the Data Analysis Process
  • Big Data Analysis State of the Art

Information from Large Data Sets

  • Data Presentation
  • Infographics
  • Target Audience
  • Data Analysis Limitations & Barriers

Future Requirements and Emerging Paradigms for Big Data Storage

  • Future Requirements for Big Data Storage
  • Future Requirements for Big Data Usage
  • Emerging Paradigms for Big Data Usage
Learning Outcome & Assessment Criteria

1.  Understand the fundamentals of big data

  1. Analyse the purpose of big data
  2. Analyse the sources of big data
  3. Evaluate the benefits of using big data sets
  4. Analyse the different uses of big data sets
  5. Analyse the problems associated with using big data
  6. Analyse the ethical concerns associated with using big data for decision making
  7. Define the terms:

           • Volume

           • Variety

           • Velocity

           • Volumeeracity of data

2.  Understand the structure, size and security of big data

  1. Differentiate structured and unstructured data
  2. Evaluate data storage methods and their characteristics
  3. Analyse the problems associated with using and storing big data
  4. Investigate the concepts of distributed computing with big data
  5. Analyse the risks associated with big data

3.  Understand the characteristics of data analysis

  1. Analyse the importance of analysing data
  2. Evaluate how to establish data trends in big data sets
  3. Produce analytical and statistical representations of data

4.  Be able to present information from large data sets

  1. Analyse methods used for presenting large data sets
  2. Explain target audience requirements
  3. Prepare and present a summary presentation of information from large data sets
  4. Identify areas for improvement based on data analysis
  • The assessment strategy for this course is designed to test all the learning outcomes.
  • Learners must demonstrate successful achievement of all learning outcomes to pass the course.
Assessment Marking Criteria


Citizens of the following countries are eligible for a 50% scholarship upon writing a personal statement. All scholarships are to be approved by the Academic Board. The list of countries are: Sri Lanka, Indonesia, Philippines, Bhutan, Morocco, Vietnam, Papua New Guinea, Laos, Cambodia, India, Nigeria, Ghana, Bangladesh, Laos, Myanmar, Pakistan, Nepal and South Africa. Please talk to your student counselor and ask for the Coupon Code to get the 50% Tuition Waiver.

  • The assessment criteria for a pass will be presented with the summative exercise.
  • Further information and guidance on the assessment will be made available through the tutor.
Unit Pass Requirements

To pass the unit a 40% overall grade must be achieved.

Frequently Asked Questions
What is included in the cost of my programme?
  • All course material, including online modules and written assignments
  • Unlimited personal tutor support with online sessions
  • Dedicated student support
  • Access to an online community learning forums
  • Assignment marking and feedback
Am I eligible for this programme?

You are eligible if you meet our stipulated entry requirements.

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