MSc Business Intelligence and Analytics

Course Details

MSc Business Intelligence and Analytics

Our MSc Business Intelligence and Analytics is a one year course ideal for students with a numerical background who have an interest in acquiring an in-depth specialist knowledge and a critical understanding of the key aspects of data management and analysis. Through interactive and practical learning, you will get to understand and experiment with technologies first-hand, whilst learning about the importance of maintaining up-to-date systems to ensure information remains valid, useful and protected.

We have designed this course to give you the best possible opportunities to explore and learn about the new tools available to apply correct statistical techniques for decision making and develop the required skills to communicate your findings in ways that non-data scientists will understand. You will also receive plenty of support in the expansion of your research skills through our Research Methods and Professional Development exercises, created to complement your dissertation project.

Should you be unable to complete the full programme, you may still be awarded a Diploma or Certificate depending on terms completed

Course Tutor - John Kawalek

An international consultant, academic and entrepreneur, he specialises in Systems Thinking and Digital Transformation, to achieve leaps in business growth and performance improvement. With a successful career spanning over 30 years, John Kawalek currently holds a number of roles including Senior Industry Adviser at European Bank for Reconstruction and Development. He is Director of CrowditBuildit Ltd, a crowdfunding property development firm, as well as a Partner at The Consultancy Academy Ltd. He is also a Non-Executive Director at WeDo3DPrinting.com.

Hear from John Kawalek about this course and the field of Business Intelligence and Analytics.

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Course Structure

Compulsory modules

• Data Discovery Visualisation (30 credits)
• Data-driven Decision Making (30 credits)
• Predictive Analytics (30 credits)
• Research Methods and Research Based Output (60 credits)

Elective modules

^{Choose one*:}

• Blockchain (30 credits)
• Fintech (30 credits)
• Strategy for the Digital Economy (30 credits)

^{*All elective modules are subject to availability.}

Want to study in Berlin?

Get more information about this course and the GISMA campus in Berlin via their website.

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Course Start Dates

October 2021

• MSc Business Intelligence and Analytics
  • Full-time: GISMA Business School (Berlin) and London Moorgate

February 2022

• MSc Business Intelligence and Analytics
  • Full-time: GISMA Business School (Berlin) and London Moorgate

June 2022

• MSc Business Intelligence and Analytics
  • Full-time: GISMA Business School (Berlin) and London Moorgate