Patrice Seuwou
Associate Professor in Learning & Teaching
level:PG;top_up:false;international:true;foundation:false;clearing:false;full_time:true;part_time:false;start_month:September, January;location:Waterside
Business Analytics MSc
Key Facts
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Duration
Full Time: 1 Year
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Level
Master'sPG MSc
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Full Time: £8,700
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Full Time: £19,000
Updated 03/02/2026
Overview
In today’s data-driven landscape, businesses are facing a pressing challenge: finding graduates who possess the right qualifications and skills to tackle complex analytical tasks. This demand for skilled business analysts continues to soar, creating a significant gap between the abilities of recent graduates and the requirements of employers. That’s where our cutting-edge MSc Business Analytics programme comes in.
Our comprehensive programme is tailor-made to bridge this gap and empower you with the expertise needed to excel in the realm of data analysis. By enrolling in this master’s programme, you will unlock a world of career opportunities, enhance your employability prospects, and become a sought-after asset for any company looking to gain a competitive edge.
One of our current Business Analytics students, Thelma, is available on Unibuddy to answer any questions you may have about the MSc Business Analytics and questions about student life at UON.
Highlights
- The course offers the opportunity to gain experience in the areas of Data Science in Practice, Emerging Technologies, Leadership and Digital Transformation, Forecasting and Decision Science.
- Participative and interactive activities designed to consolidate and develop students’ understanding,
- The programme benefits from guest lectures by industry and/or academic scholars in some of the modules.
- Peer networking is encouraged so you can maximise your learning.
- Learn how to apply descriptive, analytical modelling techniques to help organisations improve performance.
- Participative and interactive activities designed to consolidate and develop your understanding using Active Blended Learning (ABL) model.
- This MSc Business Analytics programme is a specialist programme and can be considered as a study progression for applicants coming from a wide range of discipline backgrounds,
- It provides a wider understanding of expertise to analyse data, improve decision-making skills within an organisational context.
- This master’s programme is aimed at developing graduates with the skills to meet the skills gap in demand by employers.
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Entry Requirements
If you hold a recognised first or second-class honours degree (or equivalent) in Business, Management, Information Systems, or Information Technology-related courses, you will be eligible to apply for this business analytics course.
This course will be suitable for recent graduates of Business, Management, Information Systems, and Information Technology related degrees. It will also be appropriate for professionals employed in the business sector who wish to progress in their current roles.
Graduates of the following Engineering disciplines are particularly suited to this programme and would be considered:
- Aerospace
- Civil
- Electrical/Electronic
- Mechanical
- Robotics
- General Engineering
- Manufacturing
- Industrial Engineering
- Structural Engineering
- Agricultural/Environmental
Biomedical, Chemical and other Engineering disciplines may be considered after being referred to the tutor.
The master in business analytics may also be very attractive to many international applicants.
If you would like information on making an application, please see our How to Apply page.
All International and EU students applying for a course with us must meet the following minimum English language requirements:
- Minimum standard – IELTS 6.5 (or equivalent)
for study at postgraduate level.
For information regarding English language requirements at the University, please see our IELTS page.
What You'll Learn
Throughout the course, you will delve into a wide range of topics, including data science tools and techniques, leadership skills, data visualisation for decision science, and project management concepts. You will also have the option to work on projects sponsored by the UK Ministry of Defence (MoD). With this diverse knowledge base at your disposal, you will be equipped to extract valuable insights from data, make informed decisions, and drive organisational success.
Immerse yourself in the world of data analytics as you master industry-standard tools and techniques. Our experienced faculty will guide you through hands-on exercises, real-world case studies, and collaborative projects, ensuring that you develop a solid foundation in the application of analytics in a business context. You’ll learn to navigate complex datasets, uncover patterns and trends, and generate actionable recommendations that can transform businesses.
Moreover, our master’s programme is designed to nurture your leadership abilities, as we believe that effective data analysis goes hand in hand with strong leadership. You will gain valuable insights into the management of data-driven projects, enhancing your ability to lead teams, communicate findings, and drive change within organisations.
As you progress through the programme, you will witness the power of data visualisation first-hand. Discover how to create compelling visual representations that communicate complex insights in a simple and impactful manner. By developing the skills to present data visually, you will not only captivate your audience but also facilitate better decision-making and accelerate business growth.
Compulsory Modules
Optional Modules
The purpose of this module is to provide an overview of approaches in business and systems analysisA range of systems analysis appraoches are covered, with an emphasis on Systems Thinking and Business/System Dynamics.
The module will provide a holistic overview of the theoretical perspectives of leadership within a digitally transforming business environmentIt will enable students gain in-depth understanding of how organizations are initiating digital transformation and working towards achieving digital readinessIt will explore key topic associated with current IT trends.
The purpose of this module is to introduce students to the main concepts, techniques and challenges involved in Data Science applicationsStudents gain practical experience in the whole Data Science lifecycle (data cleaning, data transformation, data analysis and results interpretation and reporting), using suitable software packages.
Emerging technologies are changing the way companies innovate and create valueIt can also assist organisations in scaling on demand, improving resiliency, minimising infrastructure investments, and deploying solutions quickly and securelyWithin this module, students will explore the impacts of Emerging Technologies on businesses and related ideas and practices.
This module introduces different forecasting techniques that can be used to predict future events and how organisations make effective decisions from dataThe module will provide effective skills in forecasting in business for decision-making.
In this module, students develop skills to investigate, analyse and propose solutions to a business problem as well as balancing stakeholders views, dealing with ambiguity and persuasion with relevant tools and methodsThe consultancy project can fall into at least one of those: project-based learning, a creative or work artefact.
Fast moving dynamic development within organisations means that having a basic ‘toolkit’ of modern and de facto project management techniques, with an emphasis on applying these is a vital requirement for project management students. This module develops students understanding of theoretical practices, practical tools and techniques, and equips them to face the challenges facing project managers today.
This module is an interdisciplinary and applied module that provides students the opportunity to work with the Ministry of Defence (MoD) and Intelligence Community (IC) to better address the nation s emerging threats and security challengesStudents engage directly with complex real-world problems proposed by UK Government sponsors.
The purpose of this module is to offer the opportunity to the students to develop skills in responding to a live employer brief that requires secondary data analysis on a contemporary research problemStudents will learn how to plan, collect and analyse dataThey will also appreciate the ethical and legal issues relating to traditional research.
Please note the modules shown here relate to the academic year 25/26. The modules relating to the academic year 26/27 will be available from June 2026.
What is the schedule for this business analytics course?
Full Time Study: This master in business analytics is only available for full-time study. The course duration will be one year, split into three semesters.
September start
AUT (Trimester A)
- BSOM061 – Information Systems Methods
- BSOM080 – Applied Systems Analysis
- BSOM058 – Strategic Management of IS
SPR (Trimester B)
- BSOM071 – Fundamentals of Project Management
- BSOM079 – Business Intelligence
- BSOM078 – Digital Twins and IoT
Summer/SPR (Trimester C)
- BSOM077 – Business Research Project
January start
SPR
- BSOM071 – Fundamentals of Project Management
- BSOM079 – Business Intelligence
- BSOM078 – Digital Twins and IoT
AUT
- BSOM061 – Information Systems Methods
- BSOM080 – Applied Systems Analysis
- BSOM058 – Strategic Management of IS
Summer/AUT
- BSOM077 – Business Research Project
How will I be assessed?
The assessment methods used within the business analytics masters programme varies from a module to another. The main assessment methods used within the programme are Assignment (Report, Critical reflection/Journal, etc.), Essay, Presentation (Oral or Poster).
However, some modules may expect to take tests, exams or hands-on activity. Students on the MSc programme will have to submit a dissertation as part of their Business Research Project Module.
What is the award for this course?
To be eligible for the award of MSc Business Analytics, you must successfully complete 120 credit modules and the 60-credit Dissertation.
To be eligible for the award of PG Dip Business Analytics, you must successfully complete 120 credit modules.
To be eligible for the award of PG Cert Business Analytics, you must complete the following three 20-credit modules: Applied Systems Analysis, Strategic Management of IS and Information System Methods.
Are there any special features on this course?
Some of the master in business analytics modules will offer external academic and industrial guest lectures. This will enable you to become familiar with the emerging technologies, research works and industrial trends in the wider environment.
There will also be the opportunity to participate in external visits open to all our postgraduate taught students.
Fees and Funding
2026/27 Tuition Fees
Fees quoted relate to study in the Academic Year 26/27 only and may be subject to inflationary increases in future years.
- UK: £8,700
- International: £19,000
There are no additional costs for this master in business analytics for students beginning their studies in September 2026. Should this change, applicants and students will be contacted by the university with details of the costs.
For more information about possible funding options, please visit our Fees and Funding pages.
Fees quoted relate to study in the Academic Year 25/26 only and may be subject to inflationary increases in future years.
- UK: £8,500
- International: £17,495
Staff
Careers and Employability
Possible career paths for the graduates of this programme:
- Data Scientist
- Business Analyst
- Chief Data Officer (CDO)
- Chief Technology Officer (CTO)
- Advanced Analytics Consultant
- IT Consultant, Insight Analytics
- Data Management Reporting Analyst
- Market Research Analyst
- Customer Analytics Consultant
- Data Analyst
- Research Analyst
- Business Intelligence Analyst
Campus Facilities
By studying our MSc Business Analytics postgraduate degree, you will be able to access and use University of Northampton on-campus services, facilities, and study areas.
Learning Hub
The Learning Hub is at the heart of the campus and home to the student information desk.
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