36 monthsProgramme duration
39,800 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This programme provides a comprehensive training in the statistical basis of data science, along with a solid grounding in the computing skills and algorithmic reasoning necessary for modern data analysis.
In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 30-credit module is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
The programme does not assume any previous exposure to probability, statistics or computer science. During the course of your degree, theoretical studies are balanced with an emphasis on practical work, including the training on at least two programming languages, and realistic illustration of theoretical concepts.
The first year is designed to provide all students with a firm foundation in these subjects, while deepening the knowledge and understanding of those students with some previous exposure to the subject areas: you will study mathematics, statistics and computing, which will prepare you for increased specialisation in data science in years two and three.
The second and third years build on this foundation through further compulsory modules on core topics in probability theory, statistical inference and algorithms. Specialist areas of application, such as in medicine and commerce, are mostly introduced as third year options, although an introductory module in applied science may be taken as early as the first year.
In the final year, there is considerable flexibility to bias your programme towards either the more mathematical or applied aspects of the subject. In particular, about one-quarter of your work will be on a project involving extensive research supervised by a member of staff within the Department of Statistical Science.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
This programme provides a comprehensive training in the statistical basis of data science, along with a solid grounding in the computing skills and algorithmic reasoning necessary for modern data analysis.
In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 30-credit module is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
The programme does not assume any previous exposure to probability, statistics or computer science. During the course of your degree, theoretical studies are balanced with an emphasis on practical work, including the training on at least two programming languages, and realistic illustration of theoretical concepts.
The first year is designed to provide all students with a firm foundation in these subjects, while deepening the knowledge and understanding of those students with some previous exposure to the subject areas: you will study mathematics, statistics and computing, which will prepare you for increased specialisation in data science in years two and three.
The second and third years build on this foundation through further compulsory modules on core topics in probability theory, statistical inference and algorithms. Specialist areas of application, such as in medicine and commerce, are mostly introduced as third year options, although an introductory module in applied science may be taken as early as the first year.
In the final year, there is considerable flexibility to bias your programme towards either the more mathematical or applied aspects of the subject. In particular, about one-quarter of your work will be on a project involving extensive research supervised by a member of staff within the Department of Statistical Science.
Admission Requirements
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