From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our PG Diploma programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.
Studying for a PG Diploma in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics ...
From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our PG Diploma programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations.<br/><br/>Studying for a PG Diploma in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. They are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways.
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
24 Months
Start Date
10/2024
Campus
Main Site
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
L14
Points of Entry
Unknown
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