Computing with Data Science and Big Data Technology

Overview

Data Scientists carry out applied research to create innovative data driven solutions to business problems. Usually, they work with large, complex, varied, and unstructured data sets, that are not suitable for using traditional data analysis approaches and techniques. Indeed, the demand for data scientists is ever rising and a report suggest that the shortage of data scientists has become a serious constraint (Society, 2019).

According to UK National Data Strategy (Department for Digital, 2020) there is a need in the market for those with qualifications and skills in Data Science technology. This BSc programme can prepare you for a range of careers in Big Data and Data Science including technical, management, and leadership opportunities in this discipline.

Key facts

Learn to develop and test various data science applications for business intelligence
Learn to programme with SQL, MySQL, Python, R language or similar and deploy distributed machine learning models using Google Cloud, Microsoft Azure or AWS
Satisfy the educational requirements of the BCS, The Chartered Institute for IT for professional membership
Top up your existing qualification to a UK honours degree with direct entry onto Level 5 or 6

What will I study?

This programme is designed for those, who wish to study a broad-based computing programme with a specialism in data science and big data technology. It is also attractive to learners who have related Data Science or IT work experience and wish to gain an academic qualification in a subject area in which they are familiar. This programme is specifically designed to enable you to develop in depth technical knowledge that will allow you to discover new data driven solutions.

You will also train and deploy distributed machine learning models using cloud-based platform such as Google Cloud, Microsoft Azure or AWS or similar and machine learning technology. You will additionally be exposed to the in-depth concepts, principles, technologies, and techniques of big data analytics. You will subsequently be able to apply this knowledge and skill in your own context, and subsequently critically analyse the implementation and recommend potential future improvements.