Master of Business Administration (Business Analytics)

University of East London - Docklands Campus

UK,England

 0 Shortlist

12 Months

Duration

CAD 18,960/year

Tuition Fee

CAD 0 FREE

Application Fee

May 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1992

Total Students: 15,500 +

Int. Students: 4,100 +

Campus Detail

Main Campus Address

Cyprus Pl, London E6, United Kingdom

Master of Business Administration (Business Analytics)

Program Overview

Our MBA (Business Analytics) is a dynamic, contemporary and practical course designed to produce data-driven business leaders of the future. The Industry 4.0 revolution is creating a transformational and competitive business scenario that is full of challenges that demand effective solutions.

As a professional of the business industry, MBA graduates ought to be aware of the crucial role that business analytics - the strategic analysis of data to make the best decisions – play, with regards optimising processes and creating competitive advantages. This pathway will help you develop competencies and abilities in the field of Data Science (DS) applicable in the business industry. Learn how to analyse data to derive Business Intelligence (BI) and use Business Analytics (BA) to drive effective decisions and successful future outcomes.

Our course is flexible and accessible. Full-time students attend during the day while part-time students attend during the evenings so you can tailor your attendance around your availability.

Everything on our MBA is geared towards your career development, ensuring you graduate with a clearer vision of your future; it’s accredited by the Chartered Management Institute, so you can be sure you’re learning the leadership skills that employers really need, and our expert staff have the depth of knowledge to turn your passion and ambition into a realisable goal.

WHAT YOU'LL LEARN

You'll develop competencies and abilities in the field of data science applied by the business industry.  Learn to distinguish the internal and external sources of Big Data and strategic information required to modelling organisational performance. Determine the best analytic tools and practices to be used in specific scenarios such as learning machine, statistical learning, mining, social media analysis, Internet of Things, cloud and simulation. Design prescriptive organisational model and solutions using inferential statistics and informatics software such as R and Python.

Solve complex problems using appropriate decision-making techniques including identifying, formulating and solving business problems. Develop critical thinking skills and reflect on the ways in which organisational processes produce enormous volume of data and the multidisciplinary techniques that can be used to manipulate the data to generate analytics and business solutions.

The programme will also offer you an optional placement year, enabling you to gain professional experience, putting your university learnings and experience into practice.

We consistently review and develop our courses and modules to ensure they are up-to-date with sector and industry graduate skills demands. Course structure, modules and options are subject to change.

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English Requirement: IELTS TOEFL PTE 

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