Data Analytics MSc

Edge Hill University

In this course you explore the opportunities of the data-driven world, designed for graduates from other subject areas. Develop your skills and expertise for a range of rewarding careers such as data scientist, data analyst and data engineer across a variety of sectors. Many jobs have a digital element, and it is predicted that within 20 years 90% of all jobs will require some aspect of digital skills. Ensure you are well-prepared for the challenges of the data-driven world by studying our MSc Data Analytics conversion programme. If your undergraduate degree is in a non-STEM subject then this data analytics conversion course could be for you. Discover techniques and methods applicable to analysis, extraction and assessment of actionable information from a multitude of data sets. The rapid expansion of the digital environment has increased the opportunity for data-driven innovation, but also the dangers of it. Being able to understand and anticipate developments in the manipulation and use of data will result in a workforce with a diverse skillset that ranges over computational, statistical and methodological approaches. Develop strong problem-solving and critical-thinking skills, allowing you to approach challenges methodically and devise innovative solutions using data-driven approaches. Discover flexible and scalable approaches to address the significant challenges within industry raised by the continuous creation of real-time data from sensors, devices, video, audio, and social media. Real world case studies are embedded in several key modules spread throughout the curriculum, allowing you to apply your skills in solving problems that reflect ‘real’ conditions. You will develop a detailed understanding of the legal frameworks governing data privacy and security, allowing you to work to the highest professional and ethical standards. Apply your knowledge to a wide range of professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, as well as humanities. You will have access to cutting-edge facilities and resources, including advanced computer labs equipped with the latest software tools used in data analysis and machine learning. You will gain hands-on experience with the tools and technologies that are relevant in today’s data-driven industries.

Computer Science