Master of Science in Big Data Technologies University of East London - Docklands Campus, UK

This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.

The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.

During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.

WHAT YOU'LL LEARN

Knowledge

• Demonstrate a comprehensive and critical understanding of all the concepts and activities for large-scale data analytics
• Demonstrate expertise in Big Data Analytics and its business and research applications
• A depth knowledge and understanding of Big Data Analytics projects, Machine Leaning techniques for extracting big insights and unique knowledge from Big Data stores
• Have a critical understanding of complex computing application areas and apply skills in advanced topics to find resolution, such as cloud computing and security aspects.

Thinking skills

• Analyse critically and systematically a Big Data problem through identifying key requirements, alternative solutions and evaluation methods
• Critical thinking and evidential reasoning;
• Exercise appropriate engineering judgement in the decision-making process
• Conduct a dissertation applying rigorous and critical analysis approaches to identify project goals, propose and evaluate different research strategies, and finally generate a useful and effective output
• Reflect on your professional and research practice.

Subject-Based Practical skills

• Design & develop large-scale systems considering security aspects
• Use diverse Big Data resources and advanced tools and techniques to convert Big Data to Big Insights in batch and real-time format
• Identify, critically analyse and execute a solution for a cutting-edge research/industrial computing problem
• Produce structured and coherent written reports to document the findings, evaluations, and the proposed solution for a Big Data problem

Skills for life and work (general skills)

• Demonstrate an ability to study independently and effectively; and to be able to present and convey complex technical information to other professionals and the public;
• Develop interpersonal skills and be able to contribute and work effectively in a team;
• Consider the ethical, social and professional issues of a Big Data problem and solution;
• Integrate research, and articulate research results into professional practice.