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. * Data and Analytical Science at ARU Peterborough* This is just one of the Data and Analytical Science degrees that we offer in Peterborough. You can also choose to study our foundation degree in Data and Analytical Science.
Modules
Modules are subject to change and availability. 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
Assessment method
We’ll assess you in several ways, including coursework assignments, live briefs, and exams/online tests.
How to apply
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
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 96 points
GCSE/National 4/National 5
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
https://aru.ac.uk/study/undergraduate/data-and-analytical-science
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
ARU Peterborough
University House
Bishops Road
Peterborough
PE1 5BW