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Data Science & Artificial Intelligence

Course details
  • 2 Study options
  • Undergraduate
Course location
Headingley Campus

Course summary

Understand the transformative power of data and AI. You’ll gain the skills and expertise to explore, innovate and communicate within this exciting field.

What is data science?
Data science can predict global trends and help humans make better decisions. It’s the use of tools and techniques with data to build understanding to use in the real world. Data and data science is the driving force behind artificial intelligence (AI) systems.

Data science and Artificial Intelligence
AI is already changing the way we work, communicate and live life. This ‘technological wave’ requires specialist understanding, ethical consideration and deep appreciation of the social consequences and impact to our society. You’ll explore and build skills to lead and advise on how AI can work by improving process and accuracy, to permanently disrupting the way we do things.

As part of this course, you’ll:

• Study data analysis techniques and key topics, from data management and analytics to machine learning, statistics and programming
• Learn to analyse data sets to create meaningful visualisations that can be used to deepen our understanding of any topic, from crime connections to business insight
• Develop your theoretical knowledge, practical skills and confidence to be able to convert data into valuable insights
• Gain an in-depth understanding of core data analysis techniques informed by knowledge of data principles and practical considerations
• Understand the techniques associated with AI and how they can be applied to projects
• Use open-source data and tools such as python and SQL, tableau and R and Matlab
• Learn how to identify data that will inform your investigation, ensure quality results, select the best analysis techniques for the task and choose impactful methods to get your message across

You’ll consider and evaluate the practical applications of your knowledge, such as how AI can be used within different areas as a ‘digital assistant’ or in advanced and innovative ways via Generated AI Technology (GAIT) using Large Language Models (LLMs) such as those used in ChatGPT. You’ll also understand the importance of ethics and data governance in your approach to data science and AI.

Work in an exciting field
There is a wealth of opportunity open to skilled data scientists. And you’ll graduate ready to take advantage of it. As a data scientist, you could work with some of the biggest names in industry to develop exciting experiences, or even help save lives through preventative healthcare.

Our graduates have gone on to work for a wide range of companies, including:

• Google
• NHS Digital
• Leeds City Council
• Asda
• The Open Data Institute
• Cap Gemini
• The Data Shed
• The Oakland Group
• Sky
• Yorkshire Building Society
• Yorkshire Water
• TPP UK

You’ll understand how to work with data to gain insights and create narratives. This skillset will make you an asset to any organisation or individual seeking to make evidence-based decisions. You’ll be able to apply your expertise to a wide range of areas including marketing channels, and scientific innovations such as smart houses.

How to apply

Application codes

Course code:
I200
Institution code:
L27

This course may be available at alternative locations, please check if other course options are available.

Course options

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

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