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Extended Diploma in Data Analytics (EDDA)

This Extended Diploma in Data Analytics (EDDA) is designed to cater to both the general business as well as the education sector. It is a 120 credit level 4 programme awarded by London Examinations Board.

The aim of the EDDA is to equip the learners with the understanding of the techniques of Data Analytics and to impart the required skills in them with the objective of making them competent professionals in the field of Data Analytics. This programme, by creating competent Data Analytics professionals, supports the sustained growth of business by optimizing resources and exploiting the business insights offered by data.

The programme follows a work and problem-based learning approach and participants will be expected to demonstrate how they have utilized their learning and skills acquired in solving business related issues and problems by integrating and building on perspectives from the programme and the literature, and their own contexts.

Overall Programme Outcomes

On completion of this programme, learners will be able to:

  • Understand the characteristics of data and derive business insights through analysis of data.
  • Understand the different data collection techniques and use the right technique to collect appropriate data for analysis.
  • Use appropriate data storage, data management and data retrieval techniques and gain an overall view of Data Architecture.
  • Make use of DBMS and RDBMS for storage and retrieval of relevant information and gain thorough working knowledge of MYSQL.
  • Gain the required knowledge about Data Governance principles and practices and also gain insights about Data Protection and the relevant Data Protection laws and regulations.
  • Produce Data Visualization reports and create Dashboards using Excel, Tableau and Power BI.
  • Understand Data Modelling principles and create data models for different business situations.
  • Make use the Artificial Intelligence Tools for Data Analysis

Module Specifications

Assessments

Professional Development Portfolio:

Participants will be required to document a professional development portfolio which is a record of goals, knowledge acquisition and growth, achievement and professional attributes developed over time and in collaboration with others in the workplace / organisation. It will consist of a Reflective Log with appendices consisting of collection of relevant artefacts to support achievement of goals, knowledge, behaviours and attributes aligned to the 8 modules which are taught in the programme.

The Reflective Log should describe the learning experience of the students and associate it with their work-related tasks wherever applicable. If the learner is not employed, the Reflective Log shall, apart from describing the learning experience of the learner, associate it with any real-life examples/cases 

Participants are strongly recommended to commence undertaking the above from the commencement to the end of the last taught module on the programme and to submit the completed portfolio no later than 2 weeks after completion of the 8 taught modules.

Work-Based Reports (Capstone project):

The work-Based Report shall be a document on the application of Data Analytics in their work environment. The learners shall choose an area of study from the organization where they are employed and where there is scope for improvement through application of the principles of Data Analytics and come out with a solution that is implementable. If the learner is not employed, Work-based report has word limitations of 1500 – 2000 words.

Entry Requirements

No prior knowledge is required. Applicants should normally be at least 16 years old and preferably with the following:

  • Level 3 (QCF) Certificate; or
  • 2 GCE A Levels; or
  • Working Adults
  • Have English proficiency in order to participate in the programme taught in English

Mode of Delivery:

Fully Online Mode
SELF INSTRUCTURAL LEARNING MATERIALDISCUSSIONS
Participants are given a complete set of learning materials to facilitate independent study which can be downloaded from the designated Learning Portal.
Under every topic in a module, self-test questions (with answers) are given; learners can answer these questions and check the correctness of their answers which will strengthen their understanding of the subject.
Face-to-Face classes conducted at a learning center or live online lectures at not less than 100 hours during the entire course duration of 35 weeks.

Guide to Learning Hours / Student Learning Time

The EDDA has a total of 120 credits and comprises of 8 taught modules and one capstone project. The credit distribution across the different modules are as under:

  • Modules 1 to 7 ( @ 12 credits each) –  84 credits
  • Module 8 – 10  credits
  • Capstone Project Evaluation – 10 credits
  • Final Assessment – 10 credits
  • Reflective log – 6 credits 
  • Total – 120 credits 

All the taught modules have practical components built inside, enabling the learners to gain practical skills on Data Analytics.

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