Master of Science - Applied Data Science (with Advanced Practice)

Program Description Data scientists are responsible for the handling of raw data, analyzing it, identifying patterns and presenting insights in a manner that is useful for forecasting and predicting business problems. The data science field uses mathematics, statistics, machine learning, a range of computer science disciplines and a common toolset such as Python, SQL, and R.

Data scientists are in high demand as government departments and leading companies realize the importance of big data and its applications to developing successful strategies in their decision making or business relations.

Students gain technical and critical thinking skills in applying knowledge of data science to real-world problems, and learn fundamentals of software for digital innovation, applied machine learning, big data and business intelligence, interactive visualization of data, and applications. Students explore professional, ethical, security and social implications of future data science technologies, and gain a range of transferable skills to progress into industry. Progressing from almost any first degree discipline, students gain leading-edge skills, solid programming experience, research expertise and optional industry experience to enter this field and rapidly expanding job market. Students work closely with Teesside's AI and Machine Learning research groups, and have the opportunity to undertake an internship.