Master's
Artificial Intelligence for Brand Management MSc
Brunel University of LondonUxbridge, England
- Intake
- January 2027
- Tuition fee
- £24,795 / year
- Duration
- 1 year full-time
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Master'sArtificial Intelligence / Technology Leadership
Master of Science - Artificial Intelligence and Technology Leadership
Northeastern University London · St Katharine Docks & The City, London, England
- Level
- Master's
- Duration
- 1 year
- Intake
- January 2027
- Tuition fee
- £24,900 / year
- Location
- St Katharine Docks & The City, London, England
Course overview
Level 7 programme focused on leading in an AI- and data-driven economy, combining data analytics, digital transformation, technology leadership, project management, communication and ethical considerations.
Course details
- Degree level
- Master's
- Subject
- Artificial Intelligence / Technology Leadership
- Duration
- 1 year
- Intake
- January 2027
- Tuition fee
- £24,900 / yearUniversity fee information (opens in a new tab)
- City
- London
- Country
- England
- Campus
- St Katharine Docks & The City
About this information
The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.
Not recorded here yet: Pakistan-specific requirements, English test requirements. The official course page is the source for these.
English Language Requirements
English language requirements for this course are listed on the official course page. Our team can also advise you when you apply.
Entry requirements
General entry requirements
Typical offer is an upper second-class honours undergraduate degree (or equivalent) in computing or a related discipline with substantial computing or mathematical content; each applicant assessed individually, including relevant professional experience where applicable; English proficiency required if English is not native.
Scholarships & discounts
3500
Course modules
- Programming for Data Applications; Fundamentals of Computation, Data, and Algorithms; Theory and Applications of Data Analytics; AI & Data Ethics; Data-Driven Transformation; Technology Leadership and Team Dynamics; Project Management and Communication; Artificial Intelligence Dissertation Project.
Details can change. Confirm fees, entry requirements and deadlines on the official course page before applying.