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Master of Business Administration (Business Analytics) University of East London - University Square Stratford (USS) Campus University of East London - University Square Stratford (USS) Campus, UK

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GBP 16740

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

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12 months

Duration

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6

IELTS

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55%

Min GPA

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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Additional Information

Program Level Master's Degree

College/University Processing Time 30 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Open

Sep 2024

Closed

May 2024

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's Degree.

    6 IELTS Score
    55% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    16740

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    12006 Per year

    Average Cost of Living
    (GBP)

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.

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