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Data Science & Artificial Intelligence

Study level:
Undergraduate

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.

Modules

<strong> Year 1 Core Modules: </strong>

  • Introduction to Data Analytics
  • Maths for Data Science
  • Fundamentals of Computer Science
  • Fundamentals of Databases
  • Statistics in Practice
  • Fundamentals of Computer Programming

<strong> Year 2 Core Modules: </strong>

  • Applied Data Analytics
  • Machine Learning Techniques
  • Database Systems
  • Team Project
  • Programming for Data Science
  • Information Analytics

<strong> Year 3 Core Modules: </strong>

  • Production Project
    In addition, choose from a list of Year 3 option modules. Please check our website for a full and up-to-date list.

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How to apply

Apply by
29 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
I200
Institution code:
L27
Campus name:
Headingley Campus
Campus Code:
H

Points of entry

The following entry points are available for this course:

  • Year 1

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

Course options

Open days

Entry requirements

Qualification requirements

UCAS Tariff - 112 points

A minimum of 72 from two A Levels or equivalent, excluding General Studies.

GCSE/National 4/National 5

GCSE English Language and Maths at Grade 4 or above (Grade C for GCSEs taken before 2017) or equivalent. Key Skills Level 2, Functional Skills Level 2 and the Certificate in Adult Literacy and Adult Numeracy are accepted in place of GCSEs.

Additional entry requirements

Other
We may use selection criteria based on your personal attributes; experience and/or commitment to the area of study. This information will be derived from your personal statement and reference and will only be used if you have met the general entry requirements.

Historical entry grades data

This section shows the range of grades students 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.

Data from:
This course and 3 other computer science courses
Date range:
2022-2024

Grades held by accepted students

BBC Most common
  1. ABB
  2. Highest grades
  3. DDD
  4. Lowest grades

Offer rate for UK school & college leavers

91% Students aged 17/18 who applied to this course were offered a place.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

Student Outcomes

Operated by the Office for Students

74 Employment after 15 months (Most common jobs)

92 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

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

No additional fees or cost information has been supplied for this course, please contact the provider directly.

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