Big Data Technologies University of East London

Overview

The MSc in Big Data Technologies at the University of East London is tailored for individuals aspiring to excel in the rapidly expanding field of data analytics. With the increasing volume of data generated daily, there is a significant demand for skilled professionals who can interpret and leverage this information to drive strategic business decisions. This programme not only imparts theoretical knowledge but also focuses on practical skills, ensuring that graduates are well-equipped to meet industry expectations.

Why Big Data Technologies at University of East London?

Ranked as the second modern university for Computing in London, the University of East London is committed to delivering industry-relevant education. The programme is designed in collaboration with industry experts, ensuring that the curriculum reflects current trends and technologies. Students benefit from state-of-the-art facilities, including specialised laboratories and access to cutting-edge tools such as Cloud platforms, Hadoop, and Spark.

Tuition Fee Breakdown

The tuition fees for the MSc in Big Data Technologies are as follows:

• Home Applicants: £11,340 per year
• International Applicants: £16,740 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the MSc in Big Data Technologies comprises core modules that provide a solid foundation in data analytics and related technologies. Key modules include:

• Big Data Analytics
• Cloud Computing
• Machine Learning on Big Data
• Mental Wealth; Professional Life (Dissertation)

Additionally, students can choose optional modules such as Security Management and IT & Internet Law, allowing for a customised learning experience that aligns with individual career goals.

Careers with Big Data Technologies

Graduates of the MSc in Big Data Technologies are well-prepared for a variety of roles in sectors such as finance, healthcare, telecommunications, and logistics. They may pursue careers as Data Analysts, Business Analysts, or Machine Learning Engineers, among other positions. The programme’s strong emphasis on practical experience and industry collaboration enhances employability, equipping students with the skills and connections necessary for success in a competitive job market.