Data and Analytical Science at Anglia Ruskin University - UCAS

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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

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

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

Operated by the Office for Students
75%
Employment after 15 months (Most common jobs)
85%
Go onto work and study

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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

Additional fee information

https://www.aru.ac.uk/student-life/preparing-for-university/help-with-finances
Data and Analytical Science at Anglia Ruskin University - UCAS