BSc (Hons)Data Science
Study location | United Kingdom, Stirling |
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Type | Bachelor courses, full-time |
Nominal duration | 3 or 4 years |
Study language | English |
Awards | BSc (Hons) |
Course code | G700 |
Tuition fee | £17,900 per year |
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Entry qualification | High school / secondary education (or higher) The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. It is required that you send verified copies of the entry qualification documents directly to the university by postal mail. Important! Never send original documents by post! |
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Language requirements | English - IELTS Indicator 6.0 with 5.5 in each skill |
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Other requirements | At least 1 reference(s) must be provided. A motivation letter must be added to your application. Please see how to create your perfect personal statement here. |
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More information |
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Overview
The BSc (Hons) Data Science will give you an in-depth awareness and appreciation of the underlying computing and algorithmic principles driving data science technologies. It is a practical degree focusing on the analytical and data processing skills needed to begin a career as a data scientist or analyst.
Demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (+231%), according to a labour market analysis commissioned for Dynamics of data science skills, a new Royal Society report published in May 2019. The types of skills most frequently required by British employers include scripting languages, relational and non-relational databases, machine learning as well as advanced data processing using computer vision and natural language processing. All of these are included in the course.
You will study modules chosen from across Computing Science and Mathematics and will be introduced to both data science theory and applications. You’ll study subjects at the core of data science including machine learning, artificial intelligence and statistics. This Data Science degree will introduce you to relational and non-relational database principles and learn cutting edge technology such as computer vision and natural language processing. You’ll learn how to collect, manage and analyse highly dynamic Big Data for science or commerce.
Programme structure
In year 1 students can take 20 credits worth of any available modules in the Autumn and Spring semesters. However, CSCU9B2 is recommended. Year 1 provides a broad foundation to the subject including an introduction to programming, data science and mathematics.
In year 2 students can take 20 credits worth of any available modules in the Autumn semester. They choose one module from MATU9M2 and MATU9M4 in the Spring. Year 2 focusses on database principles and technologies including relational and non-relational approaches. You will also study scripting for data science and basic statistics.
Year 3 focuses on machine learning and aritificial intelligence techniques. In the final year students embark on their honours project which will give students the opportunity to apply their learning from the course.
Career opportunities
The types of skills most frequently required by British employers include scripting languages, big data, SQL databases and machine learning.
We are currently NOT ACCEPTING applications from NON-EU countries, except Georgia and Serbia.
We are currently NOT ACCEPTING applications from NON-EU countries, except Georgia and Serbia.