Data Science and Artificial Intelligence BSc (Hons)
Bangor , United Kingdom
Data Science and Artificial Intelligence (AI) BSc (Hons)
Prifysgol Bangor University
Data Science and Artificial Intelligence
Program Overview: Data Science and Artificial Intelligence BSc (Hons)
The Data Science and Artificial Intelligence BSc (Hons) at Bangor University provides a firm grounding in data handling, analysis, communication of findings, and modern research-driven machine learning techniques. This degree offers an inventive combination of computer science fundamentals, programming, data analysis, critical reasoning, and machine learning, producing graduates proficient in deriving insight from data using contemporary methods and algorithms.
The programme places a strong emphasis on the responsible use of data, with an appreciation of relevant ethical, legal, and social issues embedded throughout the curriculum. You will work on real-world projects, gain knowledge about data collection and processing, and learn to build intelligent systems that can solve complex problems across industries.
With optional Placement Year and International Experience Year pathways available, this degree equips you with both the technical expertise and professional experience needed to thrive in the rapidly expanding data economy. Bangor University's dedicated computing laboratories, immersive technologies lab, and industry-standard software ensure you learn with cutting-edge resources.
Key Program Highlights
- Inventive blend of computer science fundamentals, programming, data analysis, critical reasoning, and machine learning
- Ethical, legal, and social considerations embedded throughout the curriculum for responsible data use
- Optional Placement Year and International Experience Year pathways to boost employability
- Access to fully equipped computing laboratories and an immersive technologies laboratory with the latest devices
Curriculum and Modules
The BSc Data Science and Artificial Intelligence curriculum is structured across three years, progressing from foundational computing and mathematical skills to advanced machine learning and AI techniques. Students explore key areas such as algorithms, data visualization, statistical analysis, and intelligent systems through a combination of theoretical learning and hands-on practice.
Introduction to Programming
20 creditsThis module introduces the fundamental concepts and techniques of programming. You will learn to write computer programs through weekly exercises and computing laboratories, building the coding skills essential for data science.
Data Science Fundamentals
20 creditsCovers foundational data science concepts including regression, classification, clustering, time series analysis, and data visualization. You will work with various data formats and learn to evaluate proposed solutions across real-world applications.
Mathematics for Data Science
20 creditsProvides the mathematical foundations required for data analysis and machine learning, including statistics, linear algebra, and probability. These skills underpin the quantitative reasoning used throughout the degree.
Principles of Machine Learning
20 creditsExplores machine learning at the crossroads of statistics and computer science, covering data-powered models for comprehending and predicting real-world system behaviours. You will learn techniques applicable across science, finance, retail, and transportation sectors.
Artificial Intelligence and Algorithms
20 creditsFocuses on core AI concepts including search algorithms, knowledge representation, and intelligent agent design. You will develop the theoretical and practical understanding needed to build systems that solve complex computational problems.
Final Year Project
40 creditsA substantial individual project that brings together theory and skills developed throughout the course. Projects are often carried out in collaboration with local companies, providing practical experience and advantages when seeking employment.
Elective Modules
Admission Requirements
Bangor University welcomes applications from students with a wide range of qualifications and backgrounds, considering each application individually. To be considered for the Data Science and Artificial Intelligence BSc (Hons), you should meet the academic and language requirements outlined below. Contact Uni4Edu for personalized guidance on your eligibility and application.
Academic Requirements
- A-Levels96–128 UCAS tariff points, including at least one A-Level in a Science, Maths, Computing, or IT subject. General Studies and Key Skills are not accepted.
- BTEC National Extended DiplomaMMM to DDM in a relevant subject such as Computing, IT, or Applied Science.
- International BaccalaureateIB Diploma is accepted. Contact Uni4Edu for specific point requirements.
- Access to HE DiplomaPass required in a relevant subject area (Science, Maths, Computing, or IT).
- International QualificationsSchool leaving qualifications and college diplomas from countries worldwide are accepted, subject to minimum English language requirements.
English Language Requirements
- IELTSMinimum overall score of 6.0 with no individual component below 5.5
- TOEFL iBTContact Uni4Edu for the equivalent TOEFL score requirement
- Other TestsEquivalent qualifications in English language proficiency are also accepted. Contact Uni4Edu for details.
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Bangor University is committed to supporting international students financially, with bursaries and scholarships worth over GBP 1,000,000 available for new and returning students each year. International applicants are automatically considered for institutional scholarships when they submit their application through Uni4Edu, with no separate scholarship application required.
Bangor University International Scholarship
Up to GBP 4,000 for Year 1 (renewable)Awarded to international undergraduate students based on course choice, academic performance, personal statement, and references. Renewable for Year 2 and Year 3 if students achieve an average of 50% or higher. No separate application is required.
Vice-Chancellor's Merit Scholarship
Up to GBP 10,000A flagship scholarship for outstanding international students demonstrating exceptional academic achievement. Awarded based on academic excellence and overall application strength. Contact Uni4Edu for current eligibility details.
Entrance Scholarship
Varies based on examination performanceAvailable to top performers in Bangor University's Entrance Scholarship examination. This scholarship can be held alongside other bursaries and awards. Contact Uni4Edu for examination schedule and application details.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the Data Science and Artificial Intelligence BSc (Hons) are ideally suited to take up careers in data and financial analysis, business intelligence, data support, AI development, and closely related positions. The programme's combination of technical skills and responsible data practices positions you to exploit the frontier of machine learning and AI across both industry and academia.
Potential Career Roles
Industries and Employers Hiring Graduates
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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