Data Science & Artificial Intelligence

Course summary
Unlock powerful insight to turn data into decisions. Learn how AI and data science can predict global trends, drive smarter analysis, and power change.
Data doesn't mean much on its own. What matters is what you can do with it. On this BSc Data Science & Artificial Intelligence degree, you'll learn how data and AI are used to answer questions, inform decisions, and solve significant challenges. You'll build the technical confidence to work with data, alongside the critical judgement needed to use it responsibly.
You'll work the way real data specialists do. Using large datasets and industry-relevant tools, you'll analyse complex information, uncover patterns, and use machine learning to predict trends and support decision-making. Ethical thinking and clear communication are embedded throughout your course, reflecting how data and AI are used in professional practice.
As part of this course, youβll:
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Learn core data science and AI techniques, including machine learning, statistics, and predictive modelling
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Master industry-standard tools such as Python, SQL, R, MATLAB, and data visualisation platforms
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Investigate the ethical, legal, and social issues surrounding AI and data use
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Apply your skills to real problems through projects, case studies, live datasets, and an optional year working in industry
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Develop the confidence to communicate complex insight to both technical and non-technical audiences
You'll graduate with the skills and confidence to thrive in a huge range of data and AI roles, ready to turn insight into impact - and shape what comes next.
Find out more
AI: built in, not bolted on
On this data science degree, AI isn't an afterthought. You'll explore how AI is being integrated into business operations, from digital assistants to advanced generative AI tools such as Large Language Models (LLMs) including ChatGPT and Google Gemini. We'll also cover the ethical, legal, and governance considerations essential for responsible AI use.
Gain in-demand expertise for a thriving career
From day one, you'll tackle authentic data tasks, building the technical expertise and transferable skills employers value - from data analysis and modelling to communication, problem-solving, and teamwork. In your final year, you'll choose an optional module and complete an extended data science project, tailoring your expertise to your interests and career goals.
Our graduates have gone on to work with a variety of reputable companies, including Google, NHS Digital, Asda, Leeds City Council, the Open Data Institute, Capgemini, the Oakland Group, Sky, Yorkshire Building Society, Yorkshire Water, and TPP UK.
Solve real problems
Go beyond the theory on this data science and AI course. You'll work with realistic datasets, take on industry-style challenges, and collaborate on projects that mirror professional practice.
Learn where digital innovation booms
Based at our City Campus in Leeds, you'll study in a thriving and ever-growing hub for digital, tech, and business. You'll benefit from regular guest lectures, industry events, and our extensive network of leading employers.
Why study the BSc Data Science & Artificial Intelligence course at Leeds Beckett University?
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Combine data science and AI into one degree, with equal focus on building strong data skills and learning to utilise AI responsibly and ethically
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Learn to communicate insight, not just numbers, so your work confidently influences decisions, strategy, and real outcomes
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Join a student society - like the Computing and Engineering Students' Community - to connect with peers who share your interests
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Tailor your learning to your ambitions - decide the direction for your final year project and select an optional module that fits your career goals
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Build industry experience through placements, internships, and a range of applied course projects in a fast-growing digital city
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.
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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.
- Data from:
- This course and 3 other computer science courses
- Date range:
- 2022-2024
Grades held by accepted students
- ABB
- Highest grades
- DDD
- Lowest grades
Offer rate for UK school & college leavers
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
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data β 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
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