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Applied AI and Data Science at Southampton, Solent University - UCAS

Course options

2025 - 20262026 - 2027
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

5Nov
Southampton Solent University - Postgraduate Open Afternoon (Virtual)
Virtual and digital
29Nov
Southampton Solent University - Undergraduate, Postgraduate and Apprenticeships Open Day (On-Campus)
Undergraduate
18Apr
Southampton Solent University - Undergraduate, Postgraduate and Apprenticeships Open Day (On-Campus)
Undergraduate

Course summary

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. 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. The recent growth and developments in AI and data science is bringing significant social, economic, and health benefits to the world. Using AI and data science techniques, digital machines can analyse and learn from big datasets, and discover more efficient ways to do complex tasks and make intelligent decisions with much higher accuracy and speed than human beings. Automation of routine or mundane tasks is also a big feature of AI. This is boosting the global economy by transforming business models across all sectors like healthcare, science, finance, banking, sales, marketing, manufacturing, engineering, construction, travel, leisure, hospitality, environmental monitoring, transport, and logistics. AI enabled applications have already become an integral part of our life. When you speak to Siri or interact with Cortana, AI and data science algorithms are running behind them. Other exciting applications include medical diagnostics, speech recognition and synthesis, robotics, autonomous vehicles, stock price prediction, chatbots, natural language processing, and language translation. Currently, AI is also being used to research Covid-19 treatments and vaccines. The course also offers the chance to take a paid work placement (certain intakes only) in industry for up to six months after completing all modules. This gives you valuable practical experience and confidence working in industry, boosting your CV and helping you to secure jobs in this area. Support is given to help you find a placement but is your responsibility to secure one. Alternatively, you may also apply to undertake a paid research placement at the University for up to six weeks, giving you the experience of working as part of a research team. This would help you to pursue a career in research and academia. This course is for: This conversion master's course is specifically designed for those who want to learn practical skills to apply AI and data science techniques to solve real-world problems. The course does not require any prior technical knowledge. Therefore, the course is equally suitable for applicants who do not have any computer science or STEM background, but wish to either start a new career in AI and data science or enrich their own areas with AI and data science expertise.

Modules

Core modules

  • Programming for Problem Solving
Problem-solving is the most sought-after skill in computing - identifying problems, devising solutions and implementing them in software. This module will develop both your problem-solving and programming skills in Python, using real-world datasets and case studies.
  • Introduction to AI
AI is revolutionising the way we live. Learn the underlying principles and techniques of data-driven AI solutions to real-world problems, from industry-standard machine learning techniques, models, and algorithms to the limitations and ethics of AI.
  • Data Analytics and Visualisation
Data analysis helps business organisations understand their past, evaluate their present and predict the future. This module explores key principles, theories and industry-standard techniques of data analytics and visualisation methods.
  • Applied AI in Business
From speech recognition to medical diagnosis, applied AI is solving problems both new and ancient. Through real-world scenarios and open-ended projects, this module explores the practical and professional skills required for data-driven AI solutions using industry-standard tools.
  • Dissertation Project
Your self-managed dissertation reflects your interests within the field, drawn from relevant theory and practical considerations. You will identify a project topic, define the aims and objectives, manage a project plan and produce specific artefacts that demonstrate your intellectual and practical skills.
  • Optional modules
Work placement (starting in year two after completing all modules) Supported by our in-house careers and employability service, a work placement in the industry gives you the opportunity to reflect on and implement your newfound knowledge and skills, and to learn about new concepts and working practices – as well as enhancing your professional connections and employability.

How to apply

International applicants

All international applicants need to be aware that the English language requirements to attend Solent University, and the English language requirements to obtain a visa from the Home Office, may be different. This means that if you meet the Solent University language requirement to gain a place on the course, you may still have to meet additional requirements to be granted with a visa by the Home Office. We strongly advise all applicants to visit the Home Office website which outlines all the requirements for a successful visa application and to take a look at our course entry statement document.

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. Applicants who do not have English as their first language will be required to demonstrate an approved level of proficiency in the use of the English language. Qualifications are checked before enrolment, and international students must bring their original certificates or certified copies when coming to study at the University.

Fees and funding

Tuition fees

England £9675 Year 1
Northern Ireland £9675 Year 1
Scotland £9675 Year 1
Wales £9675 Year 1
Channel Islands £9675 Year 1
EU £17065 Year 1
International £17065 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

While most course costs are covered by your tuition fees, some essential resources and optional extras may need to be paid for separately. For advice on budgeting and managing your money, please contact [email protected]. All course costs are covered by your tuition fees, however you are encouraged to have a laptop for your personal use.

Sponsorship information

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. Check out our bursaries and scholarships pages to find out more (https://www.solent.ac.uk/finance/bursaries)

Applied AI and Data Science at Southampton, Solent University - UCAS