Data Science & Artificial Intelligence
Leeds Beckett University
UCAS Code: I200 | Bachelor of Arts or Bachelor of Science - BA/BSc
Entry requirements
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.
UCAS Tariff
A minimum of 72 from two A Levels or equivalent, excluding General Studies.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**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
Year 1 Core Modules:
- Introduction to Data Analytics
- Maths for Data Science
- Fundamentals of Computer Science
- Fundamentals of Databases
- Statistics in Practice
- Fundamentals of Computer Programming
Year 2 Core Modules:
- Applied Data Analytics
- Machine Learning Techniques
- Database Systems
- Team Project
- Programming for Data Science
- Information Analytics
Year 3 Core Modules:
- 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.
The Uni
Headingley Campus
Computing, Creative Technologies and Engineering
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Artificial intelligence
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Information systems
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
Information systems
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£27k
£27k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£27k
£27k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Information systems
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£27k
£27k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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