MSc Data Science for Business

  • MSc

Overview

What is the Data Science for Business MSc?

The Data Science for Business MSc is a one-year master's for graduates who want to develop the technical, analytical and business skills needed to work with data in modern organisations.

Explore how data is used to solve complex business problems, improve performance and drive innovation in marketing, finance, sustainability and supply chain management. You'll learn to combine data science methods, programming and analytics with applied business learning. This will give you the tools to translate data into actionable insights and strategic decision-making.

Who is the Data Science for Business MSc designed for?

This programme is for graduates with a background in data science, computer science, mathematics, economics, finance, engineering or another quantitative subject.

What skills will you gain from this programme?

  • Data analysis and interpretation
  • Programming and analytical problem-solving
  • Quantitative and statistical reasoning
  • Business decision-making using data
  • Critical thinking and evidence-based analysis
  • Communication of technical insights to non-technical audiences
  • Research and project design
  • Applied problem-solving in organisational contexts.

By the end of the programme, you will have developed the confidence and capability to analyse complex business problems using data, communicate insights effectively, and contribute to evidence-based decision-making.

Why study the Data Science for Business MSc at the University of Bristol Business School?

  • Build a core foundation in data science methods, programming, statistics and data analysis
  • Discover specialist applications of data science to business contexts including marketing, finance, supply chain and sustainability
  • Explore how data is transforming organisational decision-making and digital strategy
  • Be inspired by world-leading research across business, data science and engineering disciplines.

Discover the new Temple Quarter Enterprise Campus

The new Temple Quarter Enterprise Campus is a £500 million investment in your future. Learn in collaborative teaching spaces and access specialist facilities, including the Bloomberg Room, where you can develop practical skills using industry-standard financial and market data tools.

You can also bring ideas to life in the Design Factory, with access to a Hackspace, project labs and support from design experts and industry partners.

Through Bristol's innovation ecosystem, you will connect with businesses and organisations, while dedicated careers support will help you develop the skills, networks and experience to succeed after graduation.

Programme structure

Core and specialist options

You will start by building your understanding of how data is collected, processed and analysed, and how quantitative methods can be applied to real business problems, by studying core units in:

  • Programming and computational thinking for data science
  • Data science methods for business challenges
  • Statistics and quantitative analysis.

You will then progress into more applied and specialist units, choosing from optional modules that may cover:

  • Business applications of data science across marketing, finance, supply chains and sustainability
  • Data-driven decision-making and strategic analysis
  • Advanced analytics techniques applied to organisational problems
  • Optional specialist pathways aligned to your interests and career goals.

Final project

Your studies in teaching blocks 1 and 2 build the foundations for your 60-credit independent research project, completed over the summer. This allows you to apply your learning to an extended piece of independent or practice-based work.

Options include:

  • Independent Data Science Research Project
  • Applied Analytical Research Project linked to a real-world organisational challenge.

Visit our programme catalogue for full details of the structure and unit content for our MSc in Data Science for Business.

Entry requirements

You will typically need an upper second-class honours degree or an international equivalent in a quantitative subject (whether as a single, joint or combined honours degree) such as:

  • Accounting and Finance
  • Actuarial Sciences
  • Computer Science
  • Data Science
  • Economics
  • Engineering
  • Finance
  • International Economics and Trade
  • Maths
  • Physics
  • Commerce (with specialism in Accounting/Finance/Accounting and Finance/Economics).

If your degree subject is not listed above, you must have evidence of an upper second-class honours degree or international equivalent which includes one unit of mathematics from the Maths qualification requirements list below, with 60% (UK equivalent) or above in this unit

OR

A-level Mathematics with grade A if no mathematics or quantitative unit in your degree.

If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.

We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.

We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirements.

If your achieved grade is lower than our entry requirements, or if your subject is not listed above, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing:

  • evidence of five years' work experience in fields such as business and corporate management, finance and accounting, marketing and sales, operations and logistics, public sector or nonprofit administration, human resources, project management, data and analytics, engineering, technology, design, creative industries, innovation-related roles
  • a relevant postgraduate qualification. Specific module requirements would still apply, which can be met in either undergraduate or postgraduate qualifications.

See international equivalent qualifications on the International Office website.

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Go to admissions statement

If English is not your first language, you will need to reach the requirements outlined in our profile level B.

Further information about English language requirements and profile levels.

  • Accounting ('principles of', 'fundamentals' or 'intermediate')
  • Advanced Maths
  • Algebra
  • Analysis
  • Analytical Chemistry
  • Auditing
  • Banking
  • Bayesian Modelling
  • Business Analytics
  • Business Economics
  • Business Maths
  • Business Statistics
  • Calculus
  • Complex Functions/Systems
  • Computational Methods (including in the social sciences and research)
  • Computer Science (including programming, algorithms and physical computing)
  • Corporate Finance
  • Cost Accounting/Analysis/Management
  • Data Analytics
  • Data Mining
  • Data Science
  • Decision Analysis and Simulation
  • Decision Maths
  • Decision Science
  • Derivatives
  • Differential Equations (including Ordinary Differential Equations)
  • Discrete Maths
  • Econometrics (including 'introductory', 'foundations of' and 'advanced')
  • Economics
  • Electrical Engineering
  • Electricity Magnetism
  • Electronic Engineering
  • Engineering (including materials and structural)
  • Equilibrium
  • Experiment (including experimental design, experimental studies, experimental research and control trials)
  • Finance ('principles of', 'fundamentals' or 'intermediate')
  • Financial Analysis
  • Financial Markets
  • Financial Maths
  • Financial Modelling
  • Financial Reporting
  • Financial Statement Analysis
  • Forecasting
  • Game Theory
  • Geometry
  • Geotechnical
  • Information Theory
  • Investment Analysis
  • Kinematics
  • Kinetics
  • Linear Algebra
  • Linear Programming
  • Logistics Management
  • Machine Learning
  • Macroeconomics/Microeconomics (also called Economics III/IV)
  • Management Science
  • Mathematical Programming
  • Maths
  • Maths for Business
  • Mechanics (any type)
  • Mechatronics
  • Method
  • Modelling
  • Multi Variate Analysis
  • Network Science
  • Number Theory
  • Operational Research
  • Optimisation
  • Physics (any type)
  • Portfolio Management
  • Probability (including stochastic models/methods)
  • Programming
  • Proof (including introduction to proof)
  • Pure Maths
  • Qualitative Research Methods/Techniques
  • Quantum Computing
  • Quantum Mechanics
  • Research Methods
  • Robotics
  • Simulation
  • Social Network Analysis
  • Statement Analysis
  • Statistical Analysis/Methods
  • Statistics
  • Supply Chain Management
  • System Dynamics
  • Taxation
  • Thermodynamics
  • Time Series Analysis

Introductory maths does not count towards maths unit requirements.

Fees and funding

Home: full-time
£19,500 per year
Overseas: full-time
£34,500 per year

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.

More about tuition fees, living costs and financial support.

Alumni discount

University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.

Funding and scholarships

The Business School is offering a range of scholarships for master's students starting in 2027.

Scholarships for Home (UK) Students include the Business School Advance Scholarship.

Further information on funding for prospective UK and international postgraduate students.

Career prospects

The Data Science for Business programme equips you with the technical, analytical and strategic skills to harness data for business decision-making in an increasingly AI-driven world.

Build expertise in data analysis, artificial intelligence, data management and scalable data infrastructure through units including Data Analysis in Business Contexts, Introduction to AI and Data Analytics, and Large-Scale Data Engineering.

Tailor your technical skillset through optional study in programming, statistical computing and empirical methods. You can also specialise through pathways in Sustainability, Marketing, Supply Chain Management or Finance, applying data science techniques to real-world sector challenges.

Build highly valued skills in problem solving, data interpretation, communication and evidence-based decision-making through practical, project-based learning.

In your final term, you'll apply your learning through a substantial research project, completed either individually or as part of a team. Working on a real-world challenge, you'll apply advanced analytical techniques to produce practical insights, with many projects developed in collaboration with an external organisation.

Graduate with a combination of technical data science expertise, business understanding and sector-specific knowledge, preparing you for a wide range of data-driven careers. You'll also benefit from networking opportunities and a full range of careers support.

What career opportunities can this programme lead to?

  • Data Analyst
  • Business Analyst
  • Marketing Analytics Specialist
  • Financial Analyst
  • Supply Chain Analyst
  • Operations Analyst
  • Data Consultant
  • Business Intelligence Analyst.