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  • DeadlineStudy Details:

    MSc 1 year full-time, 1 year full-time with placement

Course Description

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.

Throughout the course you will explore fundamental principles and techniques, and will be supported to develop the practical skills to apply to AI and data science techniques to solve real-world problems.

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

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 modules

Core modules

  • Programming for Problem Solving
  • Introduction to AI

Trimester two modules

Core modules

  • Data Analytics and Visualisation
  • Applied AI in Business

Trimester three modules

Core modules

  • Dissertation Project

Optional modules

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

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