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  • DeadlineStudy Details: 1 year full-time, 2 years part-time

Masters Degree Description

Immerse yourself in the in-demand fields of AI and data science. Using problem-based approaches, your studies will equip you with the knowledge and skills to open doors to a wide range of careers.

This postgraduate conversion course has been designed to increase AI and data science experts in the UK market with the support of the OfS and industrial partners, including IBM, Motion-Robotics, Barter For Things Ltd, 451 Research, and University Hospital Southampton. This course is also suitable for those who may not have a computer science or STEM academic background, but wish to start a new career in AI and data science.

Entry Requirements

Honours degree at 2:2 or higher in any discipline, or extensive industrial experience in this area.

  • Applicants should be able to show an interest in learning coding, AI and data science techniques.
  • Qualifications equivalent to the above may also be considered – contact the University for further information.
  • We also consider candidates with alternative qualifications and related professional experience.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

Southampton Solent University offers a range of bursaries and scholarships that provide financial assistance or waive fees for tuition or accommodation. Each bursary or scholarship has specific eligibility criteria.

Student Destinations

This course will give you the skills and knowledge to enter a variety of roles including:

Applied AI developer
AI strategy manager
Data analyst
Data scientist
Data mining engineer
Machine learning engineer
Business analyst
Digital marketing analyst

Module Details

Trimester one

Core modules

Programming for Problem Solving
Introduction to AI

Trimester two

Core modules

Data Analytics and Visualisation
Applied AI in Business

Trimester three

Core modules

Dissertation Project

Optional modules

Work placement (starting in year two after completing all modules)

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