Data and Analytical Science [with Foundation year] at Anglia Ruskin University - UCAS

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

Year 1: Core modules Problem Solving for Technology Extended Project Literacies in Higher Education Into ARU Year 2: Core modules Programming Fundamentals Relational Database Development Fundamentals Computer Systems and Networking Fundamentals Web Development Fundamentals Year 3: Core modules Big Data Analytics Becoming an IT Professional Machine Learning and AI Fundamentals Team Based Project Algorithms, Data Structures and Advanced Programming Ruskin Module (15 credits) Year 4: Core modules Data Mining and Visualisation Future Tech and Development Graph Analytics and Learning Building Neural Networks Computing Major Project

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.


How to apply

Application codes

Course code:
G144
Institution code:
A60
Campus name:
ARU Peterborough
Campus code:
P

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

5 GCSEs at grade D, or grade 3, or above and evidence of two years post-GCSE study at Level 3. If you have achieved at least grade E in one A level, or equivalent, you are exempt from the two years post-GCSE study requirement, but you still must meet the GCSE requirements. Applicants who do not meet the two years post GCSE study at level 3 may be considered based on their satisfactory employment history, which must be a minimum of two years full time employment supported by employer evidence and deemed appropriate by the University for meeting the course of study applied for.

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


English language requirements

TestGradeAdditional details
IELTS (Academic)5.5With minimum 5.5 in each component

Equivalent English Language qualifications, as recognised by Anglia Ruskin University, are also accepted.


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

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