PG Diploma in Big Data Analytics from University of Derby

Big data is all around us. It is the vast amount of data that continues to be generated in line with our growing use of IT products and services. This constant growth creates exciting new career opportunities for big data specialists. Professionals who can identify and obtain intelligence from big data are in demand like never before.

This Big Data Analytics program gives you in-depth knowledge and a critical understanding of the key issues and concepts in today’s data-driven business and science landscapes. You will develop powerful skills in the extraction, analysis, and management of information from big data using a variety of scientific techniques and software tools.

As an online student, you will be able to draw on the extensive industrial links of our academic staff and share knowledge of best practices with fellow students, all while navigating your course materials in our virtual learning environment.

Gain insight into industry relevant approaches to natural language processing (NLP) and text mining, developing the ability to extract and analyze various data sets. Relevant software tools will be used to enable a critical appreciation of computational, ethical, and governance issues in this field, using the Vs of Big Data (volume, velocity, variety, veracity, and value) as a critical framework.

By completing this program, you will:

  • Develop high-level skills in business intelligence, data analytics, and database technology
  • Harness the full power of SAS statistical analysis software, thanks to our partnership with the global leader in business analytics services
  • Address real-world industry-based problems and conduct a major research project on a theme of your choice

The PG Diploma award is achieved by completing six 20 credit modules total of 120 credits (five core and one of the five optional modules).

Core Modules:

  1. Studying at Masters Level and Research Methods
  2. Business Analytics
  3. Analytics: Ethics, Trust and Governance
  4. Processing Big Data

Optional Modules:

  1. Information Visualisation
  2. Natural Language Processing
  3. Statistical Techniques

A Postgraduate Diploma in Big Data Analytics can be obtained by passing the four 20-credit core modules and two of the 20-credit optional modules (adding up 120 credits).

Assessment method

This course is assessed through 100% coursework with a range of methods, such as essays, research reports, presentations, group work, and practical reports.

Pace of study

We recommend about 20 hours of study per week to complete one 20-credit module over a 10-week trimester. If you aim to study two modules in one trimester, we recommend 40 hours of study per week.

For the University of Derby Online Learning PG Diploma program cost and flexible payment plans, you can contact us on 9754 9427 / 6994 7478

During your studies, you will address real-world industry-based problems. This intellectually demanding process requires not only specialist knowledge of big data analytics but also the ability to apply multi-disciplinary concepts to today’s dynamic business and scientific areas.This is a flexible programme that enables you to choose from highly relevant optional modules to tailor your programme of study to meet your particular interests or professional needs.
In this programme, you’ll develop a comprehensive skillset in computing and information technology, particularly in the areas of data analytics, business intelligence and information management, visualisation and assurance, as well as people analytics in HR. This will prepare you for a career in a rapidly growing industry more widely applicable and relevant than ever.

The job market around Big Data is rapidly increasing and is trending to be in constant demand as our use of computer data is ever-expanding. After completing the PG Dip in Big Data Analytics, you will be able to pursue a career in many areas of computing and information technology, particularly in the areas of data analytics, business intelligence, and information management, visualization, and assurance, as well as people analytics in HR.

You could also consider further study and research towards an MSc & PhD qualification.