Big Data Biology: Exploring Biological Systems Through Omics Analysis Postgraduate Programme By University of Southampton |TopUniversities

Big Data Biology: Exploring Biological Systems Through Omics Analysis

Subject Ranking

# 201-250QS Subject Rankings

Application Deadline

17 Apr, 2026Application Deadline

Scholarship

1Scholarships

Starting Month

JulStarting Month

Programme overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Masters

Study Mode

On Campus

Modern biology is being transformed by large-scale, data-driven approaches that reveal how organisms work as integrated systems. This course offers an exciting introduction to the world of omics technologies — genomics, transcriptomics, and proteomics — and shows how they are reshaping research, biotechnology, and medicine. 
Through hands-on workshops, you’ll learn how to analyse and visualise datasets using R, one of the most widely used programming languages in bioinformatics. No prior coding experience is required: the course provides step-by-step guidance for beginners, while offering more advanced challenges for more experienced students. 
With a strong emphasis on practical problem-solving, you’ll gain confidence working with complex biological data and develop skills that are increasingly sought after in research and industry. By the end, you’ll understand how omics technologies work, how to interpret their outputs, and how big data is driving the next era of biological discovery. 

Programme overview

Main Subject

Biological Sciences

Degree

Other

Study Level

Masters

Study Mode

On Campus

Modern biology is being transformed by large-scale, data-driven approaches that reveal how organisms work as integrated systems. This course offers an exciting introduction to the world of omics technologies — genomics, transcriptomics, and proteomics — and shows how they are reshaping research, biotechnology, and medicine. 
Through hands-on workshops, you’ll learn how to analyse and visualise datasets using R, one of the most widely used programming languages in bioinformatics. No prior coding experience is required: the course provides step-by-step guidance for beginners, while offering more advanced challenges for more experienced students. 
With a strong emphasis on practical problem-solving, you’ll gain confidence working with complex biological data and develop skills that are increasingly sought after in research and industry. By the end, you’ll understand how omics technologies work, how to interpret their outputs, and how big data is driving the next era of biological discovery. 

Admission Requirements

120+
92+
6.5+
67+
Need to have completed at least one year of Undergraduate study

17 Apr 2026
Jul

Scholarships

Nigeria Excellence Scholarship

Nigeria Excellence Scholarship
Master Open

Value

$4000

Deadline

30 Jun 2026

Application requirements

QS Event Attendance is NOT required

Entry requirements

You must be admitted to this school to be awarded

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