Introduction
Learn to use specialist technologies and processes to extract crucial knowledge and insights from data, with our Data and Analytical Science degree in Peterborough.
Data scientists are in demand, with almost all industries keen to take advantage of the insights that data analysis and machine learning can offer.
As a student at ARU Peterborough, you’ll use applied mathematics, statistics, and computing to explore and analyse complex datasets – and to solve practical, real-world problems.
We incorporate genuine datasets and industry-simulated projects into our modules, so that you gain a thorough understanding of the challenges and constraints that businesses face. You’ll be able to craft your skills and expertise accordingly, and graduate ready to work in the fast-moving field of data science.
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Our Data and Analytical Science degree features a mix of lectures, tutorials, demos and practical sessions. You’ll use our specialist AI labs for practical work, which feature industry-standard software and tools.
The course will take you, step by step, through the major building blocks of data science. Along the way, you’ll gain advanced technical skills, such as data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining and machine learning.
You’ll also acquire important research skills and conduct an end-to-end data science project in your final year.
Throughout the course you’ll find there’s an emphasis on developing important transferable skills, such as problem-solving and team working. And you can choose to enhance your employability even further, with an optional placement year in industry.
This is a new course starting in September 2022 and is subject to validation.
Facilities and accreditation
Specialist labs and equipment
As a Data and Analytical Science student at ARU Peterborough, you’ll use:
- specialist AI labs for all your practical sessions
- industry-standard software and tools, accessible through computers in our labs and from home, using a virtual remote desktop.
Outstanding student support
Join our student community and:
- learn from experienced tutors, who'll provide encouragement and feedback
- benefit from a Personal Development Tutor from day one, who's there to support you throughout your time at university
- make full use of our extensive IT and library resources
- embrace student life with a broad range of activities, clubs and societies
- access support, should you need it, with study skills, careers advice, health and wellbeing, and more.
Careers
There’s a significant skills gap in data science – both in the UK and overseas – and strong interest in employing data scientists and machine learning experts in almost all industries.
As a Data and Analytical Science graduate, you’ll have essential technical skills, and experience of addressing realistic data-science challenges through live briefs, coursework, and projects.
You’ll also have key transferable skills, such as team working, research and investigation, preparing documentation, giving presentations, and reporting on progress.
We work with employers to make sure you graduate with the knowledge and skills they need. They help us review what we teach and how we teach it – and they can offer hands-on, practical opportunities to learn through live briefs, work-based projects, and placements.
Our free Employability Service will help you take practical steps to follow your chosen career path, secure jobs, and work experience, or even start your own business.
Graduation doesn’t have to be the end of your time with us. You might decide to stay at ARU and study for a Masters. We’re planning a range of postgraduate degrees at ARU Peterborough, and there is a selection of existing courses in Cambridge and Chelmsford.
4 years with foundation
This year will prepare you for the rest of your course. We’ll focus on critical skills needed for degree study, such as researching and referencing, numeracy and ICT, and communication. But we’ll also start to look at the principles of computing and programming, app development, and key mathematical concepts that you’ll use in Year 2 and beyond.
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