MSc Business Intelligence & Analytics in Sri Lanka | Teesside University UK | BMS Campus
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MSc Business Intelligence and Analytics

Teesside University

This MSc offers a comprehensive overview of the principles, techniques, and tools used in business intelligence and analytics, including data collection, data analysis, data visualization, data mining, machine learning, database management, ethics and data privacy, as well as critical thinking and problem-solving. Through this curriculum, students gain the knowledge and practical insight necessary to apply business intelligence and analytics effectively in real-world contexts, ensuring career readiness and enabling them to succeed in a global market.

The programme further develops students' understanding of global influences on business and their ability to use business intelligence to inform management decisions in an international environment. Students also engage with recent advances in theory, research, and professional practice, ensuring a well-rounded and forward-looking academic experience.

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MSc Business Intelligence and Analytics Teesside University
MSc Business Intelligence and Analytics Classroom
MSc Business Intelligence and Analytics Students

Programme Information

Course Details
  • Duration: 12 Months
  • Awarding Body: Teesside University, UK
  • Academic Year: 2025 - 2026
  • Lectures: Weekend
Intakes
  • February
  • May
  • September
Mode of Study
  • Lectures
  • Seminars
  • Group Work
  • Blended Learning
More Details
Teesside University Campus

Modern University of the Year 2026

"We are thrilled to have been selected as the Daily Mail Modern University of the Year 2026. At Teesside University we are uncompromising in our pursuit of excellence and delighted that this prestigious award acknowledges our commitment to students and partners worldwide. Teesside University is dedicated to transforming lives and economies across the globe."

Professor Paul Croney OBE
Vice-Chancellor & Chief Executive
Teesside University, UK

Programme Modules

Critical Business Inquiry
  • The aim of this module is to provide a symbiotic relationship between academia and industry is a crucial component of this module, within which students will be required to participate in practical entrepreneurial experiences in collaboration with local SMEs. The module's practical learning concept encourages the students to be active learners and decision-makers, and to improve their managerial effectiveness and efficiency. The module will require students to draw on knowledge and techniques previously gained throughout their course, including marketing, management science and organisational behaviour, finance and accounting, and economics.
Interactive Visualisation
  1. This module aims to provide a dynamic, interactive visualisations that enables the student to explore the data for themselves through a variety of perspectives. Static visualisations are excellent for print medium but are restricted to showing a single perspective and do not handle multidimensional datasets well. Using an interactive graphic the reader can zoom in on sections of the data which are of interest, explore more than one dimension at a time, and sort and filter to discover new patterns and themes within the data.
Big Data & Business Intelligence
  1. This module aims to develop the student's ability to design and implement database, big data and analytics applications to meet business needs. A case study will be used to follow the system development life cycle. The student will develop a plausible application from inception to implementation for a real-world scenario. The module will investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. Investigations will be undertaken in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.
Data Analytics and decision Making
  1. This module will introduce students to the various techniques available to analyse large datasets to interpret data patterns and trends and how machine learning tools can support the extraction of meaningful insights to aid effective decision-making. Business intelligence tools are used to provide managers and leaders with detailed intelligence about the current, past and sometimes future state of a business to facilitate faster business decision-making. Help students understand how data analytics can support business decision making to help them achieve a competitive advantage.
Global Strategy: Challenges & Choices
  1. Provide students with an understanding of the internal, external and competitive factors that impact global strategic decision making. The module aims to develop students awareness of the variety of strategic analysis tools available, thus enabling them to critically evaluate the most appropriate tools for their organisational context. The module will enhance students' skills in selecting the appropriate internal, external and competitor data sources to inform evidence-based decisions to enhance organisational performance at a global level.
Business Project
  1. The Business Project module has been designed to ensure the students are able to develop a piece of work that brings together key elements of learning. Students will be able to demonstrate accumulated knowledge and understanding of practice and its application in a professional context. The composition, content and context of each project will be unique to the individual learner. Reflective practice will demonstrate a commitment to continual learning and development. The module will be front-loaded with taught content to provide all learners with the requisite knowledge to successfully manage and complete their project.

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Northumbria University and BMS have built a strong partnership over the past 25 years. This partnership has resulted in diverse degree pathways in Business and Management, Biomedical Science, Banking and Finance, Biotechnology, and Design. The Northumbria - BMS partnership has produced graduates who have made significant contributions locally and globally.

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