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.
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.
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.
You will be required to have:
You should also submit a full CV comprising:
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.
The modules listed below are for the academic year 2018/19 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.
Year 1 modules include:
The module will enable students to develop skills in the interpretation and financial statement analysis to enhance decision making process.
The course provides an understanding of how the value of businesses is captured in financial statements. It focuses on fundamental accounting concepts, principles and techniques in relation to financial statements analysis.
The module will also explore management accounting techniques and examines their use in management decision making.
Finally, the module will link financial statement analysis to corporate financial strategy using different cases to illuminate understanding.
This module is the essential integrative and concluding module for the MBA course and involves all MBA and MBA pathway students. It seeks to bring general and specialist areas of the course together and enable students to undertake a research project which investigates an organisational or a sector issue with the aim of making ethical and socially responsible recommendations for the future of the organisation or sector. The module also enables students to communicate the aims, process, findings and recommendations of the research in accessible and engaging formats suitable for diverse audiences.
The full report of the research project will be between 8,000-9,000 words in length. In addition students will produce a summary of the aims, process, findings and recommendations of the research suitable for communicating with a business audience (1,000 words equivalency). This will be in a medium of the student’s own choice, and could be, for example, an article, a website, a video, a poster or a brochure. Each student will have completed a research proposal prior to commencing the module which should form the basis of the research project. The project will be agreed by the module leader and the student will then be assigned a supervisor.
This module provides an appreciation of data mining concepts, techniques, andprocess for business Intelligence. It covers data mining techniques for both supervised learning (decision tree, logistic regression and neural network models) and unsupervised learning (cluster and association analyses).
It is designed to help equip the students with practical skills in applying data mining techniques in a modern business environment.
The module provides an introduction to relational data modelling and multidimensional data modelling techniques for data analytics. It enables students to acquire skills in advanced SQL and OLAP operations (OLAP cube, rollup, drill-down, slice and dice and pivot). The module is designed to help students with practical skills in preparing data for analysis which usually takes 50%-70% of data analytical project time. Big Data analytics platforms will also be introduced.
This core module supports the development of the learner through their engagement with Leadership and Strategic Management theory and further develops their on-going leadership skills through the application of theory to practice. It will also prepare and develop them for an organisational leadership and/or management role. Key features of the module are an emphasis on effectiveness in a leadership role together with doing this in a socially and ethically responsible manner. The module draws on a wide-range of academic research and professional experience. It introduces core leadership and strategic management concepts and encourages students to develop a critical, analytical approach to solving work-based leadership/ management issues. Students will develop an awareness of different theoretical perspectives so that the complexity of managerial work is explored rigorously. The module explores a range of strategic and operational perspectives through academic research and an examination of work-based issues. It encourages students to adopt a reflective approach on current practice and critique academic theory in relation to their future leadership and management development. This module contains a strong experiential learning approach.
This module is core for all MBA and MBA pathway students. An MBA programme has a significant role to play in developing its students as responsible and evidence informed management practitioners. This module challenges the criticism often levied at business research and the teaching of research methods by adopting a learning-centred, reflective and integrated approach. This will support all MBA students’ understanding of research-informed practice and research methods. It will prepare them to undertake and to communicate a business research project which links context with management theory, evidence and practice. It will provide a firm foundation in the philosophical and practical factors that characterise business research, the opportunity to critically analyse and evaluate recent research studies and support the development of a research proposal. In this way it will support the development of the research-related management knowledge and skills necessary for professional development and the decision making processes appropriate to management practitioners
This core module covers the major dimensions of marketing management, including marketing research, marketing strategy, marketing communications and operational management, and how they interrelate.
The module culminates in bringing all the marketing dimensions together with a view to implementing them in a real business environment. This will support students’ learning of theoretical knowledge and practical skills to help them succeed in the modern business environment.
This core module captures the crucial importance of people as a route to organisational success. The module explores the ever changing and fast paced contextual environment within which the contemporary organisation must function; in particular it examines contextual issues around globalisation, diversity and cross cultural management; and discusses how organisational human resource management practices can respond effectively. The module seeks to emphasise the powerful, strategic and pivotal role HRM can play in building and sustaining organisational capabilities and acknowledges the intersectionality of cross cultural management.
Data Analytics modules:
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.
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.
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.
Use the apply button to begin your application.
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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Abiodun Ajayi came to London Met to study for his MBA to change his career from sales to criminal investigation.
The University has, once again, been recognised as an accredited centre of the Chartered Management Institute.
MBA students are regularly given the chance to meet with industry experts. Neena Panesar, an MBA student, seized the opportunity to interview Finbarr Roche-Kelly.
MBA graduate Gaurav Gajjar says his MBA helped prepare him for working with intercultural teams at the Bank of Tokyo Mitsubishi.
MBA graduate, Alfie Magliano, speaks about his time studying at London Met.
London Met MBA graduate, Natalya Chizhov, now works for Astoria Bank in New York.