Data science and machine learning degrees

Why study data science and machine learning?

We’re swimming in more data than is humanly manageable, which means there’s a huge demand for professionals who can enhance their ability to make sense of the data with artificial intelligence and computer analysis.

Studying a course that allows you to develop skills and expertise in data science and machine learning means you can step up to the roles in statistics, scientific techniques and programming that turn data into insight across research and business.

You’ll qualify with the skills demanded by any industry that uses data: from astronomical bodies to protein structures, from medical diagnosis to marketing personalisation. Follow your interests through the mathematical underpinnings of the subject, the computer programming, and the practical application of your studies, as you prepare for a career working with the defining resource of the 21st century.

Data science and machine learning courses

Dive into the world of data science through courses in various subjects, including computing, mathematics, physics, and engineering.

BSc Computer Networks
BSc / MEng Computer Science
BSc Computing
BSc Cyber Security and Forensic Computing
BSc Data Science and Analytics
BSc / MMath Mathematics
BSc Mathematics with Statistics
BSc / MPhys Physics
BSc / MPhys Physics, Astrophysics and Cosmology
BSc Software Engineering

Institute of Mathematics

IOP Institute of Physics

Discover Computer Networks

Eleanor: My name is Eleanor Abbiss and I study computer networks. It's about creating first world basic understanding so you learn about Windows and you learn about Linux operating systems. As well as creating your own networks, you each have your own pod and then you use that to configure your own network in here.

You are given a design and you need to fit all the routers and switches to that design. I love the problem solving aspect of my course. There's always issues that need to be solved and it's about figuring out how best to solve those problems, so that in the future you then "I know, I've had the problem before, I know how to fix it this time" and it's all about constantly evolving. Networking is constantly evolving.

I chose Portsmouth because it was the number one university for Computer Networks. They're building a new Cisco Suite which is great, and you'll be able to do your CCNA here as well as studying your degree at the same time.

As set out in the National Data Strategy, data is now the driving force of the world’s modern economies. It fuels innovation in businesses large and small and has been a lifeline during the global coronavirus pandemic.

Gov UK, Quantifying the UK Data Skills Gap (May 2021)

What can you do with a data science or machine learning degree?

Data science is a massive growth sector right now, according to Prospects, across industries from health and science to retail and finance. Employment site totaljobs.com lists graduate starting salaries for data science roles as high as £40–£60K, rising to senior roles earning over £100K.

You’ll apply your experience with Python tools and analytic skills to data in sectors such as:

finance
academic and scientific research
health
retail and ecommerce
IT
civil service and government
police
defence and intelligence services
transport
telecommunications

Reasons to study with us

You’ll access our high performance computing laboratory, where you’ll have access to advanced data science and machine learning software including Python and Matlab, machine learning libraries such as scikit learn, TensorFlow and PyTorch (accessed through Jupyter Notebooks), and industry standard applications.
You’ll work on live data and real-world problems – depending on your choices, you might test your AIs against existing threats in our forensic computing labs, or apply your models and techniques to current problems in industry
You can take on a paid placement year, gaining valuable work experience with data scientists in industry ahead of your final year studies. Previous placements have included time with IBM, GlaxoSmithKline and major banks.

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