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. Studying our MSc Data Analytics conversion program will ensure you are well-prepared for the challenges of the data-driven world.
If your undergraduate degree is a non-STEM subject, this data analytics conversion course could be for you. Discover techniques and methods for analyzing, extracting, and assessing actionable information from many data sets. The rapid expansion of the digital environment has increased the opportunity for data-driven innovation, but it has also had its dangers. Understanding and anticipating developments in the manipulation and use of data will result in a workforce with a diverse skill set that ranges from 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 the 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 to solve 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 various professional settings, from public health to national security, from education to consumer industry, such as psychology, business, criminology, medical sciences, social sciences, and 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 relevant tools and technologies in today’s data-driven industries.