Course Summary

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 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. If you plan to build a career in this ever-growing and popular field , our BSc (Hons) Data and Analytical Science degree offers an excellent opportunity. 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. You will gain the ability to understand the statistical, mathematical, and computational foundations of data science and machine learning techniques and to perform statistical analysis, build and validate models from the data. By your final year, you will have developed the required knowledge in artificial intelligence and skills to conduct an end to end data science project through the final project module. 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-moving field of data science. You will become proficient in data science tools and techniques, such as deep learning and big data analytics, with a wide range of workplace application opportunities, significantly enhancing your career prospects. Our Data and Analytical Science degree features a mix of lectures, tutorials, demos and practical sessions. You’ll 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.

Course Details - Modules

Modules are subject to change and availability. Year 1: Core modules Literacies in HE Mathematics Fundamentals of Computing and Gaming Science Year 2: Core modules Introduction to Programming Introduction to Data Science and Programming Fundamentals of Artificial Intelligence Introduction to Relational Database Development Enterprise Analytics Year 3: Core modules Algorithm Analysis and Data Structures Advanced Analytical Techniques for Artificial Intelligence Ruskin Module Machine Learning Big Data Analytics Applied Machine Learning Project Year 4: Core modules Work placement Year 5: Core modules Data Visualisation Final Project Time Series Analysis Graph Analytics and Learning Deep Learning

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: G145

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


Please click the following link to find out more about qualification requirements for this course

https://aru.ac.uk/study/undergraduate/data-and-analytical-science

Minimum Qualification Requirements

Minimum Further Information are not listed for this Course.

English language requirements

Test Grade AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.

Unistats information

Student satisfaction : 68%

Employment after 15 months (Most common jobs): 50%

Go onto work and study: 65%

Fees and funding

England 9250.0 Year 1
Northern Ireland 9250.0 Year 1
Scotland 9250.0 Year 1
Wales 9250.0 Year 1
Channel Islands 9250.0 Year 1
Republic of Ireland 9250.0 Year 1

Additional Fee Information

Please note the fee for the placement year is £1250 (This is a provisional fee and subject to change) https://aru.ac.uk/student-life/preparing-for-university/help-with-finances/undergraduate 2022 international fees are to be confirmed

Provider information

East Road
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Cambridge
CB1 1PT

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