Online degree MSc Business Intelligence

• Business intelligence I
  Develop your understanding of business intelligence, understanding reasons for its use and experiencing its applications first hand. Evaluate various methods for modelling and sharing data, generate and store information, and identify the current and future potential areas for utilising business intelligence methods.

• Relational and NoSQL databases
  Uncover the essential components, usage, and technologies of both relational and NoSQL databases, helping you navigate all data-related projects with confidence. This course explores distributed database techniques, contrasts common relational and NoSQL databases, and prepares you to select the most suitable database type for data-intensive tasks.

• Advanced research methods
  This module develops skills and expertise in business research methods to help businesses improve performance, maximize shareholder value, and meet ethical and moral compliance standards.

• Data query languages
  Journey into the world of data query languages, exploring their various applications and differences from other programming languages. You'll get hands-on experience with SQL for relational databases, learn about different data structuring options, and learn how to choose the right data query language for different scenarios.

• Project: business intelligence
  Unleash the full potential of business intelligence as you apply its powerful methodologies to real-world business use cases. This project-based course encourages you to compare and evaluate approaches, make strategic design and architecture choices, and implement effective business intelligence solutions.

• Data warehousing architecture types
  Discover big data, exploring structured and unstructured types, and developing your understanding of the fundamental aspects of traditional and NoSQL Data Warehousing. Unpack the different architect classifications, their characteristics, and learn how to apply this knowledge practically in various real-world scenarios.

• Data modelling and reporting
  Engage with the world of data modelling and reporting, understanding its foundational concepts and life cycles along with different data model types. Discover SQL and NoSQL data extraction techniques, explore transactional and analytical processing methods, and develop your understanding of the data protection considerations needed for a wide variety of data types.

• Seminar: ethic and societal considerations in data management
  Unpack the profound societal, economic, and political impacts of Big Data applications, exploring ethical relevance and the factors driving critical data studies. This seminar challenges you to propose solutions to identified issues, analyse the latest advancements in data management, and present your findings in a well-researched essay.

• Elective (see electives section below)

• Master thesis
  With the guidance of a supervisor, prepare a written dissertation focused on a major field of study. Scientifically evaluate and critically discuss a chosen issue and suggest possible solutions.

• Extract, transform and load technologies
  Transform data into powerful insights. Master the three fundamental steps of Extract, Transform and Load (ETL) technologies that convert raw data into management-relevant information. Distinguish between SQL and NoSQL warehousing, evaluate various ETL tools, and learn where data protection impacts the ETL process.

• Big data technologies
  Dive into the world of data and explore its potential, comparing different types of data and storage frameworks. Engage with modern techniques, from database structures and computing environments to data storage formats, while assessing the ethical aspects of big data technology selections.

• Artificial intelligence

  How has modern hardware fuelled AI development? What’s the difference between narrow AI and general artificial intelligence? Which industries will most benefit from recent advances? Explore the key questions of humanity’s quest for artificial intelligence.

• Project: AI excellence with creative prompting techniques

  Get hands-on with generative AI applications, learning how to use creative prompting techniques to drive engaging outputs. Develop your skills in ethical design, problem-solving, and applying innovative thinking in real-world scenarios.

• Leveraging data sources and data mining

  Delve into the intricate realm of data mining with this course, discovering key strategies for data retrieval, preparation, and quality assurance. Learn to apply the main data and web mining techniques and understand the variety of data sources. Plus, take a closer look at the key players in the data economy and the legal aspects around data mining.

• Corporate governance of IT, compliance, and law

  Navigate the fascinating landscape of IT governance and compliance, getting familiar with processes and frameworks such as COBIT and IT basic protection. Unravel the complexities of IT law, learning about vital legislation and their application areas in this ever-evolving field.

• Self-arranged internship (*)

  Gain practical experience by securing and completing an internship, applying your knowledge in a real-world setting and developing hands-on skills in business intelligence.

*You'll be responsible for arranging a suitable internship for your field of study. Once arranged, please complete an application to the internship module via myCampus, to make sure your internship can be recognised and credited towards your course requirements.

You can find more details about your MSc Business Intelligence course in these PDF files:

• Online programme schedule: MSc Business Intelligence

• Programme specification: MSc Business Intelligence

• Once enrolled, you will be expected to meet LIBF's policies and standards.

• LIBF has Taught Degree Awarding Powers (TDAP).

Business intelligence (BI) is a technology-driven process that leads to actionable and strategic decision-making. It involves accumulating, analysing, and visualising vast amounts of past, current, and predictive data to provide strategic business insights and support business growth. Having a master's degree in business intelligence equips you to assist organisations in leveraging data to gain valuable insights and make data-driven decisions that have the potential to transform the success of the organisation.

Our MSc Business Intelligence degree is a comprehensive course that blends theoretical knowledge with practical expertise. This course will give you valuable experience in analysing data, understanding business processes, using advanced research methods, and applying business intelligence tools and strategies to real-life business scenarios through project-based learning.

Throughout our course, you'll learn to use business intelligence software and tools, develop SQL queries, and learn how to use data visualisation to present data insights effectively. You also get the opportunity to choose electives in your area of interest that further develop your skills in big data technologies, artificial intelligence, data mining, and IT governance and compliance.

You'll study in a virtual learning environment that uses the latest learning technology and benefit from innovative multimedia tools and study materials including:

• lecture notes

• learning videos

• revision courses

• online consultations, and

• live sessions with lecturers.

We also incorporate reports and case studies from everyday professional life into our courses.