BSc (Hons) in Data Science, University of Stirling

Stirling,

48 Months

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About this course

This course aims to develop specialists with a strong understanding of AI, computing, and data science to meet market demand for skilled graduates. It emphasizes advances in data-driven AI and machine learning, including areas like computer vision and natural language processing, which are increasingly prevalent in industry and society. The curriculum covers core computing and data science technologies alongside applications of artificial intelligence, teaching students the underlying principles that drive these technologies. Practical skills include scripting languages, databases, machine learning, and modern AI techniques such as computer vision, natural language processing, and generative AI. Students gain experience valued in sectors like finance, transport, food, and local government, with opportunities for industrial placement and a final research project.

Why this course is highly recommended

A key highlight is the opportunity for a three-month industrial work placement, allowing students to gain valuable industry experience. The course emphasizes employability skills through guest lectures, group projects, and problem-based learning. It covers core data science topics like scripting, machine learning, and AI techniques, which are highly relevant in today's tech-driven market. The strong industry links and practical focus make this course particularly suitable for students aiming to start careers in data science or AI-related fields.

Specialisation

The course focuses on applications of artificial intelligence, computer vision, natural language processing, and generative AI, alongside foundational computing and data science principles. It prepares students to apply AI technologies in diverse industry contexts.

Course fees

Application fees

1st year tuition fees

22.48L

Living cost

Degree requirements

Admissions for Year 1 entry require qualifications like ABBB in Scottish Highers or BBB in GCE A-levels, with prerequisites including subjects like Computing and programming experience. Direct entry into Year 2 or 3 depends on prior qualifications such as HNC/HND, with specific grades needed. International applicants must meet country-specific entry criteria, and English language proficiency tests like IELTS (6.0) are required unless waived otherwise.

English language test

DUOLINGO

IELTS

TOEFL

PTE

Career prospects

Graduates will be equipped for careers in data, data science, analytics, and AI across sectors like finance, transport, and healthcare. The course’s industrial placements and final projects prepare students for real-world applications and improve employability. The strong industry network and focus on cutting-edge AI applications like computer vision and natural language processing position graduates well for future roles in AI-driven industries.

FAQs

What is the duration of the course?

The course lasts either 36 or 48 months, depending on whether you study full-time or part-time.

Are work placements part of the course?

Yes, students have the opportunity to undertake a three-month industrial work placement to gain practical industry experience.

What subjects are covered in the course?

The course includes modules on programming, data science, machine learning, databases, natural language processing, computer vision, and a final research project.