Global MBA Data Analytics
This programme combines core business disciplines with innovative and specialised areas in data science to enhance the competitive advantage of organisations. The Global MBA in Data Analytics allows students to develop the knowledge, skills and competencies to manage effectively in modern, complex and increasingly dynamic business environments and learn to succeed in data analytics.
Graduate will acquire the skills needed to drive business planning and decision-making and will be able to apply a range of data tools to meet the need for extensive data collection and manipulation. Therefore, graduates from this programme will become a master at communicating business-relevant implications of data analyses.
Key Facts
- Duration: 18-36 months (100% Online)
- Start dates: January, April, July, October
- Campus: Online
- Fees: £9,000 (Student Payment Plan available)
The Global MBA is an internationally recognised flagship qualification, with 19 distinctive specialist pathways designed to meet the needs of existing and potential managers in all sectors of employment.
Stage 1
Marketing and Business Environment
Accounting and Managerial Finance
Systems and Operations Management
Strategic Management and Leadership
Stage II
Choose 2 elective modules e.g.:
Data-driven Decision Making
Data Visualisation and Communication
Stage III
Integrative Research and Consultancy Project
Specialisation Modules
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Equity and Fixed Income Investments
This module introduces you to the characteristics of equity and fixed income investments.Expand -
Derivates and Alternative Investments
You will gain relevant knowledge on derivatives and alternative investments in their pure natures as risk management tools (derivatives) and assets classes (alternative investments).Expand -
Financial Risk Management
This module gives you with a comprehensive understanding of the main types of risk that financial institutions face, as well as the means to manage them.Expand
This module introduces you to the characteristics of equity and fixed income investments. It explores the analytical issues in their valuation, the commonly used models of securities valuation, as well as their applications and disadvantages.
On successful completion you will be able to:
- Analyse and apply theories and techniques to the valuation of fixed income and equity investments.
- Identify and assess the impact of the current global financial environment on equity valuation.
- Perform valuation analysis of private companies.
- Critically evaluate the relevance of issues in valuing private and public companies.
- Examine the use of fixed income securities in the investment process.
Learn more about the course assessment strategy.
You will gain relevant knowledge on derivatives and alternative investments in their pure natures as risk management tools (derivatives) and assets classes (alternative investments). Successful completion of this module allows you to:
- Value derivative and alternative investment instruments.
- Demonstrate how investment instruments can create, enhance or destroy value.
- Critically evaluate appropriate strategies in derivatives and alternative investments, while showing evidence of insights.
- Examine derivatives and alternative investment strategies, and offer different strategies considering the various pay-offs.
- Write and present “senior management level” reports from in an advisory position.
Learn more about the course assessment strategy.
This module gives you with a comprehensive understanding of the main types of risk that financial institutions face, as well as the means to manage them. These include concepts such as credit risk, market risk, operational risk, as well as loans and deposits management.
On successful completion you will be able to:
- Analyse the challenges and risks banking institutions face.
- Examine the pricing, profitability and credit risks taken as part of the lending cycle.
- Evaluate the nature of market and operational risk.
- Explain and compare the challenges banking groups face when managing assets and liabilities.
- Analyse the major strategic issues in the management of risk by financial institutions.
Learn more about the course assessment strategy.
Core Modules
Detailed information about the core modules can be found on the:
Career Direction
MBA Global is designed to give participants a thorough understanding of business and management processes, help them to develop their effectiveness, improve their performance and accelerate their career, by developing and complementing upon the skills learnt through both their own experience and on the programme. This programme is carefully structured to give you the foundations needed for a successful career in this exciting field. Graduates of MBA programmes might pursue a number of professional positions in data analytics.
Potential job roles include:
- Data Analyst
- Data Scientist
- Data Engineer
- Data Analyst Consultant
The Careers Services team, whose mandate is to ‘support and empower LSBF students in their career developments as they make career decisions, develop job search strategies, and pursue employment opportunities’, are in constant contact with relevant Sector Skills councils to ensure that students are trained and developed with best practices in mind. Simultaneously, the work of this department is used to assist the research and development strategies to ensure LSBF continues to offer students an education that is in tune with the latest and most innovative employability strategies.
- UK undergraduate degree or equivalent – any subject area
- English levels 5.5 IELTS (5.5 in all bands)or equivalent*
- Relevant work experience is an asset, but no work experience is required
*Don’t have the IELTS required? Get the IELTS preparation you need with The Language Gallery.
Bachelor's degree
A UK bachelor’s degree (or academic equivalent) in any subject.
English
Evidence of the appropriate English level is required, e.g. an IELTS score of 5.5 in all bands, a bachelor’s degree completed in English, or work experience in an English-speaking environment
ACCA/CIMA - 14 papers completed
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Student comments
Barbara Szwarc
Sumit Ahuja
Sami Mathlouthi