Gain in-demand technical and analysis skills and prepare for a career in a fast-moving field by studying for our Data and Analytical Science FdSc in Peterborough.
Data science, especially when paired with artificial intelligence, promises to provide the tools to enhance technology, business models, and decision-making across a range of sectors, from industrial automation, manufacturing, transport, banking, and cybersecurity to health, human resource management, and social care.
Data scientists are in demand, with almost all industries keen to take advantage of the insights that data analysis and machine learning can offer. Our FdSc (foundation) Data and Analytical Science degree is a great way to get ready for a career in this ever-growing and popular area.
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.
On this course, you’ll learn practical data science and analytical skills, tailored to comply with the current market demands, technologies, and industrial practices. We’ll take you, step by step, through the major building blocks of data science which will enable you to gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualisation, data mining, and machine learning.
We incorporate genuine datasets and industry-simulated projects and practices into our modules, so that you gain a thorough understanding of the challenges and constraints that businesses and industry face. You’ll be able to craft your skills and expertise accordingly, and graduate ready to work in the fast-paced field of data science.
Our Data and Analytical Science foundation degree features a mix of lectures, tutorials, demos and practical sessions. Throughout the course you’ll find there’s an emphasis on developing important transferable skills, such as problem-solving and team working.
Our foundation degree also offers a progression route (with 50% or higher overall grade) to our BSc (Hons) Data and Analytical Sciencee. 195 credits will be awarded on progression.
Course Details - Modules
Modules are subject to change and availability.
Year 1:
Core modules
Introduction to Programming
Introduction to Data Science and Programming
Fundamentals of Artificial Intelligence
Introduction to Relational Database Development
Enterprise Analytics
Year 2:
Core modules
Algorithm Analysis and Data Structures
Advanced Analytical Techniques for Artificial Intelligence
Ruskin Module
Machine Learning
Big Data Analytics
Applied Machine Learning Project
Course Details – Assessment Method
We'll assess you in a number of ways, including time-constrained assessments, coursework assignments and a project. Our module case studies, and final year project assess your ability to analyse situations, identify key issues, select, synthesise, and apply techniques and skills from different modules, and evaluate the appropriateness of solutions when compared to industrial practice.
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:
G141
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 (or equivalent).
Please click the following link to find out more about qualification requirements for this course
