Data Science (MSc)
Southampton, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
GBP 32,300 **
STUDY FORMAT
On-Campus
* for UK | other countries, China: 29 July 2024
** for EU and international student | UK students: GBP 9,250
Scholarships
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Introduction
Become a proficient data scientist with a master’s in Data Science at the University of Southampton.
You’ll study the latest techniques and technologies, including data mining, machine learning, and data visualisation. By the end of your studies, you’ll be able to develop original ideas and solve problems using advanced data science methods. You can apply what you have learned in fields such as data journalism, open government and social media.
Data scientists help organisations handle large amounts of data produced by digital technologies. Southampton is recognised around the world as a leader in many of the topics that form our data science curriculum. We offer one of the only data science master's programmes in the UK that covers every subject needed to become a skilled data scientist in industry, government or academia.
Our module teachers use their latest research to inform their teaching in emerging topics like:
- Intelligent Agents
- Computational Finance
- Open Data Innovation
- The Science of Online Social Networks
- Deep Learning
Module options are flexible, so you can pursue your interests and adapt the programme to prepare you for your ideal career. We’ll also give you access to dedicated project labs, computer workstations, and infrastructure for large-scale analysis.
Admissions
Curriculum
This is a full-time master’s course. You’ll study for 12 months, from September to the following September.
In the first 9 months (semesters 1 and 2) you'll study the taught part of your course.
This is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You'll take exams at the end of both semesters.
You’ll also begin preparing for your final project during semester 1, and continue this work in semester 2.
For the last 3 months, over the summer, you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
You must study the following modules :
- Data Visualisation
- Foundations of Data Science
- Foundations of Machine Learning (MSc)
- MSc Project
- Machine Learning Technologies (MSc)
- Research Methods and Project Preparation
You must also choose from the following modules :
- Advanced Databases
- Algorithmic Game Theory
- Bayesian, Active & Reinforcement Learning
- Computational Finance
- Data Mining
- Deep Learning Technologies
- Differentiable Programming and Deep Learning
- Evolution of Complexity
- Knowledge Graphs for AI Systems
- Mobile Applications Development
- Natural Language Processing (MSc)
- Optimisation for Machine Learning
- Probability in Computing
- Simulation Modelling for Computer Science
- Social Media and Network Science
Program Tuition Fee
Career Opportunities
Our graduates are sought after by:
- Companies Looking for Trends in Sales, Marketing or Operational Data
- Start-ups Pursuing New Opportunities in Big Data
- Government Departments Using Linked Open Data to Inform Policy
- Research/consultancy Companies Analysing Data on Behalf of Their Clients
- Academic Organisations With Opportunities for Doctoral Study
Program delivery
We teach most modules through a mixture of lectures, seminars and practical work.
We’ll work with you to improve your general knowledge of data science and develop your skills in:
- Using High-performance Computing Clusters
- Working With Cloud-based Infrastructure
- Devising and Applying Big Data Analytics Techniques
- Analysing Data With Machine Learning Tools
- Creating Data Visualizations to Communicate Information
You’ll also be able to choose between several diverse topics to suit your interests.
Assessment
Depending on the modules that you take, we’ll assess your progress through a mixture of:
- Exams
- Lab Reports
- Problem-solving Exercises
- Design and Programming Exercises
- Individual and Group Projects
- Your Compulsory Dissertation