Machine Learning Engineer
A Machine Learning Engineer works within artificial intelligence and machine learning, applying specialist knowledge and practical skills...
Studying Data Science and AI opens up a world of opportunities in one of the fastest-growing and most in-demand fields globally.
- CertHE
- DipHE
- BSc
- BSc (Hons)
Three years
September, January, May
Data is transforming the way organisations make decisions, solve problems and develop new technologies. The BSc (Hons) Data Science and Artificial Intelligence prepares you to develop the technical, analytical and problem-solving skills needed to work with data and intelligent systems across a range of industries.
You’ll build a foundation in programming, mathematics, databases and artificial intelligence before progressing to areas including software engineering, data science, data visualisation, data engineering, big data and cloud computing. Throughout the course, you’ll apply your learning through practical projects while developing an understanding of the ethical and professional responsibilities involved in working with data and artificial intelligence.
During the course, you’ll:
The course also develops transferable skills including communication, teamwork, critical thinking, research and digital skills. These skills can support careers across a range of industries or progression to postgraduate study.
Build expertise in data analysis, machine learning and the intelligent technologies shaping modern organisations.
Develop experience in programming, databases, cloud technologies and data visualisation through applied projects.
Explore the ethical and professional responsibilities involved in designing and using data-driven systems.
Build foundations in programming, mathematics, databases, artificial intelligence and data analysis while developing academic and problem-solving skills.
Develop your skills in data science, data visualisation, software engineering and the technologies and techniques used to manage and analyse data.
Explore data engineering, artificial intelligence, big data, cloud computing and cyber security through increasingly advanced practical work.
Apply your knowledge to complex data and AI challenges and complete an individual honours project in an area of interest.
Learn through lectures, labs, workshops and project-based activities. Assessment may include practical tasks, reports, examinations, presentations and projects.
We welcome Scottish, UK and international students and consider all applicants on an individual basis.
Please visit our Undergraduate entry requirements page for information on our different entry requirements, including country-specific details for EU and non-EU qualifications.
We may also consider applicants with:
If English is not your first language, you’ll need to demonstrate your English language proficiency. The qualifications below must have been gained within two years of the start of your course.
General English language requirements at UWS: International English Language Testing System (IELTS) Academic module (not General Training):
All stated English tests are acceptable for admission for both home/EU and international students for this programme:
For detailed information on English language entry requirements for international students, including accepted alternative qualifications and possible exemptions, please visit our English language requirements page.
Explore the career opportunities this course can lead to. The skills and knowledge you gain can prepare you for a wide range of roles across your chosen industry and support your long-term professional development.
Select your degree and preferred intake month.
Complete and submit the application form.
Provide transcripts and supporting materials.
We’ll review and send your offer quickly.
Confirm and start your student visa application.
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