Master of Business Administration (Data Analytics) - MBA

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Why study this course?

Our MBA (Data Analytics) will cover everything you need to know to run a successful business. Topics include finance, communications and management, while the specialised data analytics modules introduce you to the art and sciences of using raw data for business analysis and intelligence. You’ll study these modules alongside professionals and students from related disciplines, providing you with a collaborative and supportive environment for networking.

More about this course

London Met’s MBA (Data Analytics) course includes the fundamentals of business administration, an exploration of data analysis and the chance to conduct your own specialised research.

So you can grow into a successful business leader, the core modules teach you principles of business administration such as accounting and finance, leadership, management, marketing and communications.This will apply to private, public and not-for-profit organisations, and will include the opportunity to take the lead on projects related to social responsibility.

The specialised data analytics modules are Data Mining for Business Intelligence and Data Modelling and Online Analytical Processing (OLAP) techniques. Studying these analytical processing methods will further enhance your ability to make informed and strategic decisions within companies.

Our teaching staff and visiting academics, who you’ll meet both informally and formally through lectures and social events, are experts in areas including strategy, management, coaching and data analytics.

Throughout the MBA, you’ll collaborate with students from a variety of professions and disciplines, including specialist postgraduate data analytics students. Your specialised training will be supplemented by regular informal learning activities including the weekly student-led Business Breakfast; a monthly dinner; networking events; meetings with business leaders; entrepreneurs and consultants and lively charity fundraising events in the City.

We’ll provide regular coaching sessions to help improve your career potential, while you can also make use of our Careers and Employability Unit to help you find new roles in preparation for life after the MBA.

Assessment

You’ll be assessed through individual and group work. This is likely to come in a variety of forms including reports, portfolios, presentations, videos, conferences and competitions, enabling you to develop the skills to master a multitude of situations in the world of data analytics.

Fees and key information

Course type Postgraduate
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Entry requirements

You will be required to have:

  • a minimum of a 2.2 degree in any subject that involves an element of data analysis
  • two references that demonstrate a minimum of two years’ experience in a managerial role
  • a detailed personal statement, including why you are applying and any relevant skills, experience or achievements that make you suitable for the course

You should also submit a full CV comprising:

  • Work experience - list your most recent position first, continuing in reverse chronological order including the name, location, website and dates of your employment for each company you have worked for. Aim to use bullet points wherever possible to highlight your responsibilities and achievements in each role.
  • Education - Again, in reverse chronological order, give brief details of your academic and professional qualifications along with the grades you achieved.
  • Skills - For example, include every IT package or programme you have used as well as any foreign language skills you have gained. Skills such as communication and project management are harder to substantiate and should be backed up with examples.

All applicants must be able to demonstrate proficiency in the English language. Applicants who require a Tier 4 student visa may need to provide a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

Modular structure

Core modules:

  • Accounting and Finance for Managers
  • Leadership and Strategic Management
  • People and Organisations: Principles and Practices in Global Contexts
  • Marketing, Marketing Communications and Operations

Data Analytics modules:

  • Data Mining for Business Intelligence
  • Data Modelling and OLAP Techniques for Data Analytics

Research-focused modules:

  • Management Learning and Research
  • Business Research Project

What our students say

This MBA is a re-launch of our original MBA course, of which graduate and banker Gaurav Gajjar had this to say:

"I continue to benefit from [the student diversity and the real-life opportunities] in the multicultural and diverse markets I deal with on a daily basis. In addition it helped me hone my management and leadership skills helping me attain my goals.”

Read more about Gaurav's MBA experience.

After the course

Graduates of the MBA may continue in their existing careers or choose to explore new opportunities. Recent graduates of our business related degrees are employed by companies including Oxademy, ALDI, Schwab Versand Hanau, Sapa, UBM plc, Carillion, Hanson Hispania SA, Triometric and BNP Paribas. They work in management roles in the fields of international sales, area management, business development, clients services and customer service.

Roles particularly relevant to the field of data analytics management include data science manager, business intelligence manager and CRM database manager.

Moving to one campus

If you're starting your course in September 2018 or January 2019 your teaching location will change in summer 2019 when students studying at our Moorgate campus move to our campus in Islington.

At our Islington campus you'll benefit from state-of-the-art facilities, flexible teaching areas and a wide range of social spaces.

Additional costs

Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees.

Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.

How to apply

Use the apply button to begin your application.

When to apply

You are advised to apply as early as possible as applications will only be considered if there are places available on the course.

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