UWE-MSc Business Management and Data Analytics

MSc Business Management and Data Analytics
University of the West of England (UWE Bristol Business School)

Organisations operate in an increasingly challenging, competitive and fast-moving environment, and are becoming ever-more reliant on data-driven strategies to face local and global competition. From big data to AI, this masters' will give you the analytical skills needed to leverage data for strategic decision-making across a range of industries.

Designed in collaboration with employers, the MSc Business Management and Data Analytics at Bristol Business School is delivered by industry experts, many of whom are active in business management-related research. Our practitioner-led teaching approach and curriculum is continually updated to reflect the fast-moving environment in which modern businesses operate.

We know it's not where you start but where you finish that matters. With this in mind, we've designed a skills and aspirations audit on arrival. This will help you identify gaps in your knowledge, including digital literacy, and guide you in choosing the right career path. Throughout the course, you'll receive tailored support to develop your skills and track your personal and professional growth. This feeds into the Careers Catalyst module, which enables you to reflect on your aspirations, build a relevant skillset and develop your personal unique selling point.

You'll also enjoy access to and dialogue with business leaders, debating current, relevant topics at our popular annual Masters' Business Conference.

Our MSc Business Management and Data Analytics helps you develop transferable skills and ethical decision-making for contemporary business challenges. You'll learn to create sustainable value for business and society.

You'll be well placed to explore careers in business analysis, marketing analysis, operations management and strategy. Regardless of your background, you'll gain the knowledge to succeed locally or globally. If you're already in a related role, this qualification will help you advance your career.

Course Module

Trimester 1: Sep – Dec 2026 @ RSU Tower
  • Digital Entrepreneurial Finance
  • International Marketing Communication and Media Management
  • International Business Strategic Management
  • Global Management and Organizational Behavior
  • Research in Action (Non-credit)
Trimester 2: Jan – May 2027 @ UWE
  • Business and Data Analytics
    View Business and Data Analytics Module Details
    Overview

    This module introduces students to data analytics technologies. It allows students to develop and practise decision-making using big data and communicate those decisions to a business audience, building relevant industry skills.

    Educational Aims

    In this module, students gain an overview of the domain of their programmes specialism focused on data analytics.

    The module aims to help students to gain and appreciation of the value of data and see how analysing this can add to strategic decision making across the business.

    Through practical components, students develop the ability to solve real world business problems using data analysis techniques and technologies.

    This specialism allows students to integrate their knowledge from the main business and management modules with their chosen focus area, providing a comprehensive understanding of the role of business analytics across the entire organisation.

    Outline Syllabus

    The syllabus will include (but not limited to):

    • An introduction to data analytics
    • Selecting and using appropriate tools to analyse data
    • Understanding the processes of transforming raw data into actionable insights
    • Demonstrating effective use of data visualisation techniques
    • Formulating data management strategies for business data analytics
    • Applying scenario simulation to support data-driven decision making
    • Understanding and using relevant data mining techniques for data modelling and predictive analytics
    • Assessing the business opportunity and value creation through the utilisation of Artificial Intelligence and Machine Learning
    • Identifying the ethical and privacy implications of data analytics practices in business environments
  • Career Catalyst: Developing Skills for Long Term Success
    (Studying both Tri2 & Tri3)
  • Project 1 : Choose One the following Module
    - Management Project: Group Project Challenge
    (Research Project)
    OR
    - Enterprise Project: Concept Development
Trimester 3: May – Sep 2027 @ UWE
  • Career Catalyst: Developing Skills for Long Term Success
  • Project 2 : Choose One the following Module
    - Management Project: Individual Project Challenge
    (Research Project)
    OR
    - Enterprise Project: Business Realisation

Some modules may be subject to change due to academic or operational requirements.

Accommodation

  • Accommodation on campus (Frenchay Campus): En-suite starts from £211/week. (approx. 42 – 51 weeks)
  • Accommodation in the city centre (City Campus): En-suite starts from £175/week, Studio starts from £225/week. (approx. 42 – 51 weeks)

Accommodation details and fees may change annually. Please refer to the UWE official website for updates.

Tuition Fees

  • 1st Instalment: 150,000 THB
  • 2nd Instalment: 200,000 THB
  • 3rd Instalment: 280,000 THB
  • Total Tuition Fee: 630,000 THB

For International Students (Non-Thai Student) Only
*** International students (Non-Thai nationals) will be charged 25,000 baht for the Extra fees on the 1st Instalment fee
*** International students (Non-Thai nationals) are required to have the Thai student visa / ED Plus visa before starting semester 1 in Thailand. (We cannot change the Tourist visa to the Thai Student visa in Thailand).
Minimum living cost: £1,171/month.
Students may work up to 20 hours/week during term time and full-time during vacation.

ADMISSION CALENDAR
Application Deadline
31 July 2026
1st Instalment Due Date
31 July 2026
Interview Entrance Examination
9 Aug 2026
Entrance Result
10 Aug 2026
Instruction Begins
25 Sep 2026
↓ Download Study Plan & Course Modules