Business and Management (Business Analytics), Short Course | Part time online | University of Essex Online | United Kingdom
16 months
Duration
6525 GBP/year
6240 GBP/year
Unknown
Tuition fee
Unknown
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Apply date
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Start date

About

This Business and Management (Business Analytics) PG Dip programme from University of Essex Online is designed for professionals who want to understand the uses of data within marketing, sales, customer service, market development, finance and much more. It will increase your confidence working with different types of data as well as give you a grounding in general management techniques.

Visit the Visit programme website for more information

Overview

In a business world increasingly defined and dependent on data, having a solid understanding of the challenges and opportunities within business analytics is a great way to set yourself apart from others in your industry and to improve your ability to drive effective change within your company.

The Business and Management (Business Analytics) PG Dip programme from  University of Essex Online explores many of the key areas of business analytics and business management, including:

  • the theory underpinning data and knowledge management
  • the applications of statistics in contemporary management and decision making
  • the craft of visualisation and when, what and how to think about visualisation decisions
  • the need for rigour, precision and ethical concern when collecting, organising and using data

Once you have completed your course, you have the opportunity to advance onto a full degree in business analytics.

Why this course is great

  • Gain a highly recognised postgraduate qualification in just 16 months.
  • The University achieved the highest student satisfaction rating worldwide for online classroom experience in the Global Student Satisfaction Awards (GSSA 2021)
  • No need to take a break – complete this course 100% online and part-time around your existing work.

Career opportunities:

With businesses increasingly relying on the data they gather to better serve their customers, the skills and knowledge gained from this degree are invaluable to any growing organisation. It’s ideal for anyone looking to bring a solid grounding in data analysis to their future career – whether that’s as a manager, C-level executive, business owner, data officer, finance analyst or marketing analyst.

Programme Structure

Courses include:

  • Financial Decision Making 
  • Data Management, Modelling and Design 
  • Statistics for Business 
  • Project Management 
  • Data Visualisation and Interpretation 
  • Data Analytics for Managers
  • Business Strategy

Key information

Duration

  • Part-time
    • 16 months

Start dates & application deadlines

More details

The deadline for completing applications is a week before the start date, but we recommend preparing and submitting your application in advance of your chosen intake.

Credits

120 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
Required

Other requirements

General requirements

In order to satisfy the academic entry route requirements for the PG Dip Business and Management (Business Analytics), you must have the following qualifications as a minimum:

  • an undergraduate degree from an approved institution, equivalent to a UK Honours degree, or a relevant professional qualification

In order to satisfy the work experience entry route requirements for the PG Dip Business and Management (Business Analytics), you must meet the following criteria:

  • at least five years’ senior level work experience.

Tuition Fee

To always see correct tuition fees
  • International

    6525 GBP/year
    Tuition Fee
    Based on the tuition of 8700 GBP for the full programme during 16 months.
  • National

    6240 GBP/year
    Tuition Fee
    Based on the tuition of 8320 GBP for the full programme during 16 months.

Funding

Regional scholarship available for international students based overseas in eligible countries.

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Business and Management (Business Analytics)
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