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.
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 sand 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.
Course Details - Modules
Year 1: Introduction to Programming. Introduction to Data Science and Programming. Fundamentals of Artificial Intelligence. Introduction to Relational Database Development. Enterprise Analytics.
Year 2: Algorithms Analysis and Data Structures. Advanced Analytical Techniques for Artificial Intelligence. Ruskin Module. Machine Learning. Big Data Analytics (Live Brief). Applied Machine Learning Project.
Year 3: Data Visualisation. Final Project. Time Series Analysis. Graph Analytics and Learning. Deep Learning
Course Details – Assessment Method
We’ll assess you in several ways, including coursework assignments, live briefs, and exams/online tests.
Course Details – Professional Bodies
Professional Bodies are not listed for this Course.
How to Apply
26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application Codes
Course code:
G140
Institution code:
A60
Campus Name:
ARU Peterborough
Campus code:
Points of Entry
The following entry points are available for this course:
Year 1
Entry Requirements for Advanced Entry (Year 2 and Beyond)
Entry Requirements for Advanced Entry are not listed for this Course.
International applicants
Standard Qualification Requirements
from a minimum of 2 A levels to include mathematics, physics or other science.
If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.0 (Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
Please click the following link to find out more about qualification requirements for this course
