University of Bristol

Artificial Intelligence for Business (MSc)

University of Bristol

Faculty:Faculty of Science and Engineering
Degree:Master
Field of Study:Artificial Intelligence and Robotics
Business Analytics
Length:1 Year(s)
Cost per year:*
National: $64,300

Cost is an approximation converted to Canadian dollars.



Careers:Data Engineer

Description:

The MSc Artificial Intelligence for Business is an interdisciplinary programme designed to prepare you for leadership in the design, implementation, and evaluation of AI technologies in complex and evolving business environments.

Drawing on expertise from the University of Bristol Business School, the Faculty of Science and Engineering ( FSE ), and the Faculty of Arts, Law and Social Sciences ( FALSS ), the programme combines technical knowledge with managerial insight to meet the growing demand for professionals who can bridge the gap between AI systems and business value. You will gain a solid grounding in the core principles and technologies of artificial intelligence, including data engineering, machine learning, and large-scale computing, while also exploring their application in business domains.

Prerequisites:

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.

    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 or Commerce (with specialism in Accounting/Finance/Accounting and Finance/Economics).

     If your degree is not listed above, you will need to demonstrate maths ability with one quantitative unit at 60% or above (UK equivalent) or international equivalent from the Quantitative unit requirements below.

     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.

     If your achieved grade is lower than our entry requirements, 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:

     * 5 years' relevant work experience such as in 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.

     See international equivalent qualifications on the International Office website.

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

     Go to admissions statement

     English language requirements 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 .

     Quantitative unit requirements

     * Algebra/Linear Algebra/Calculus

     * Complex Functions/Systems

     * Data including Mining/Science/Analytics

     * Differential Equations/Ordinary Differential Equations

     * Financial Maths/Modelling, Game Theory

     * Geometry/Geotechnical

     * Maths for Business/Economics

     * Advanced/Decision/Discrete/Forecasting/Method/Modelling/Programming/Pure

     * Number Theory

     * Optimisation

     * Probability (including stochastic models/methods)/Proof

     * Statistics including Methods/Analysis

     * Computational Methods (including in the social sciences and research)

     * Computer Science (incl programming/algorithms/physical computing)

     * Electronic/Electrical Engineering/Electricity Magnetism

     * Engineering including Materials/Structural

     * Experiment (e.g. experimental design, studies or research; control trials)

     * Management Science/ Network Science

     * Mechanics (any type of mechanics) /Mechatronics

     * Physics (all types of physics)

     * Quantum Computing/Mechanics

     * System dynamics /Thermodynamics

     * Analysis/Business Analytics/Analytical chemistry/Multi Variate Analysis /Social network analysis/Time Series Analysis / Bayesian Modelling

     * Decision Analysis and Simulation/Decision Science

     * Derivatives

     * Econometrics

     * Equilibrium/Information Theory/Kinematics/Kinetics/Machine learning/Operational research/Optimisation,

     * Macroeconomics/Microeconomics (also called Economics III/IV)

     * Quantitative Methods

     * Research methods/techniques including health/medical/biomedical/natural sciences

     * Robotics/Simulation

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

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    Modified on August 26, 2026

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