23Apr
UndergraduateCourse summary
Overview Data Science and Artificial Intelligence (AI) is a rapidly evolving field that integrates data analysis, machine learning, statistical modelling, and data visualisation. This programme equips students with essential skills in data manipulation, algorithm development, and ethical considerations, preparing them for careers in data-driven industries. Course aims:
- Develop an understanding of Data Science and AI applications across industries.
- Explore the evolution and advancements in the field.
- Teach ethical practices, data privacy, and security.
- Enhance programming skills in Python, R, and SQL.
- Provide hands-on experience with real-world data projects.
- Strengthen skills in data visualisation and business intelligence.
- Comprehensive learning experience – students develop intellectual, imaginative, and professional competencies, including problem-solving, communication, and teamwork.
- Strong foundation in data science & AI – the course covers programming, mathematics, software engineering, and AI principles, ensuring adaptability to technological advancements.
- Dedicated Personal Tutors – Year Leaders provide continuous guidance, supporting personal growth and career aspirations.
- High-demand skills development – students gain expertise in data analysis, programming (Python, R, SQL), AI-driven decision-making, and business intelligence.
- Practical & professional experience – hands-on projects, real-world applications, and exposure to ethical and industry standards prepare graduates for dynamic careers.
- Strong career prospects – graduates will excel in data-driven roles, contributing to business strategy, technological innovation, and research.
Modules
Year 1 Introduction to Programming Introduction to Software Engineering Database Systems Applied Mathematics Analysis of Data ASPIRE 1 Year 2 Intermediate Programming Introduction to Network and Cloud Computing Software Engineering Practice Data Structures & Algorithms ASPIRE 2 Probability and Statistics Year 3 Research Methods in Computing Professional Computing Practice DevOps Mathematics for Data Science Fundamentals of Data Science Data Visualisation Algorithms & Collections Cloud Services and Architectures Statistical Estimation and Inference Year 4 Computing Honours Project Data Engineering Artificial Intelligence Applications Big Data Advanced Machine Learning Decision Support Systems
Assessment method
A variety of assessment approaches are utilised throughout the course such as examination, written coursework, portfolio and presentations.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
29Jan
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:
- G402
- Institution code:
- U40
- Campus name:
- Paisley Campus
- Campus code:
- P
Points of entry
The following entry points are available for this course:
- Year 1
International applicants
Students from non-EU/non-EEA countries can apply directly to UWS via our dedicated online application system. The latest we can process your application is 6 weeks before the course start date to allow for visa processing times.
Entry requirements
Standard Qualification Requirements
UCAS Tariff - 90 points
A level - CCD
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - MMM
Scottish Higher - BCCC
Scottish HNC - Pass
Scottish HND - Pass
Applicants to the BSc (Hons) Data Science and Artificial Intelligence programme at UWS will benefit from possessing the following desirable skills and attributes prior to application: Basic programming knowledge: familiarity with languages like Python, R, or Java will be advantageous. Mathematical aptitude: a good foundation in algebra, statistics, or calculus is helpful for understanding key concepts in data science and AI. Analytical thinking: the ability to approach problems methodically and critically evaluate data or processes. Digital literacy: comfort with basic computer applications, cloud platforms, or data management tools. Communication skills: proficiency in written and verbal communication for articulating ideas and collaborating effectively. Curiosity and innovation: a keen interest in technology trends, AI advancements, and data-driven solutions. Time management: strong organisational skills to manage coursework and independent study effectively. While not mandatory, these skills will give prospective students a head start in mastering the challenges and opportunities presented in this rapidly evolving field.
Minimum Qualification Requirements
UCAS Tariff - 63 points
Scottish Higher - CCC
Applicants to the BSc (Hons) Data Science and Artificial Intelligence programme at UWS will benefit from possessing the following desirable skills and attributes prior to application: Basic programming knowledge: familiarity with languages like Python, R, or Java will be advantageous. Mathematical aptitude: a good foundation in algebra, statistics, or calculus is helpful for understanding key concepts in data science and AI. Analytical thinking: the ability to approach problems methodically and critically evaluate data or processes. Digital literacy: comfort with basic computer applications, cloud platforms, or data management tools. Communication skills: proficiency in written and verbal communication for articulating ideas and collaborating effectively. Curiosity and innovation: a keen interest in technology trends, AI advancements, and data-driven solutions. Time management: strong organisational skills to manage coursework and independent study effectively. While not mandatory, these skills will give prospective students a head start in mastering the challenges and opportunities presented in this rapidly evolving field.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | IELTS 6.0 with 5.5 minimum in each skill / component. |
| Cambridge English Advanced | 176 overall with no sub-test less than 169 | |
| Cambridge English Proficiency | 176 overall with no sub-test less than 169 | |
| Trinity ISE | Pass | ISEII with the minimum of a Pass in all sub-tests |
| PTE Academic | 54 | An overall score of 54 with no element below 51 |
| TOEFL (iBT) | 78 | no sub-test less than: Reading: 17; Listening: 17; Speaking: 17; Writing: 17 |
For applicants whose first language is not English, the University sets a minimum English Language proficiency level. The reason for this is that it’s essential that you are able to read, speak and understand the English language to get the most out of your time at UWS. All international applicants are required to meet minimum English language standards, with the exception of: // Native speakers of English // Erasmus students (unless advised otherwise) // non-Erasmus students from EU partner institutions (your institution must provide confirmation of your English language ability in the absence of a formal qualification) The qualifications above must have been gained within two years prior to the start of your course at UWS.
UWS's English language requirements
https://www.uws.ac.uk/international/english-language-requirements/
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| Scotland | £1820* | Year 1 |
| England | £9250* | Year 1 |
| Northern Ireland | £9250* | Year 1 |
| Wales | £9250* | Year 1 |
| Channel Islands | £9250* | Year 1 |
| Republic of Ireland | £9250* | Year 1 |
| EU | £18000* | Year 1 |
| International | £18000* | Year 1 |
*This is a provisional fee and subject to change.
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
TUITION FEE INFORMATION - SCOTTISH STUDENTS:
Eligible Scottish domiciled students can usually apply to have their tuition fees paid for them each year of their studies by the Student Awards Agency Scotland (SAAS). If you're not sure about your eligibility, you should contact SAAS. You need to apply to SAAS each year of study to have your tuition fees paid directly to UWS.
TUITION FEE INFORMATION - UK, IRISH & GIBRALTARIAN STUDENTS:
Eligible students who are domiciled in England, Wales, or Northern Ireland as well as from the Channel Islands, the Isle of Man, Gibraltar or the Republic of Ireland will qualify for tuition fees of £9,250 per academic session of study to a maximum of three years if you are studying on a four year bachelor degree course (eg. BAcc (Hons) / BA (Hons) / BEng (Hons) / BSc (Hons)). So, if your degree is four years' duration, you will only be charged tuition fees for three years. Similarly, if you are studying a five year integrated master's degree course (eg. MEng (Hons)) the you will only be charged tuition fees for four years.
TUITION FEE INFORMATION - INTERNATIONAL (NON-EU) & EU STUDENTS:
These tuition fees apply to all non-EU, EEA, and all other EU students (excluding those from Republic of Ireland and Gibraltar, whose fee level is as per UK (non-Scottish) students - see section above for more details).
ADDITIONAL COSTS:
The cost of attending university is an investment in your future career.
In addition to tuition fees and living expenses, some courses involve extra costs such as consumable study materials, field trips, equipment and uniforms. You may also want to purchase some core texts and technology such as a new laptop etc. Some of these additional costs are optional, some, such as uniforms or safety equipment may be mandatory.
Check the course entry on our website for more more information.
Provider information
University of the West of Scotland
Paisley Campus
High Street
Paisley
PA1 2BE