Postgraduate Diploma in Data Science

- Students will develop advanced, innovative, and multi- disciplinary problem-solving skills, - Students will communicate data science clearly and unambiguously to specialised and non-specialised audiences - Students will develop advanced abilities related to data analytics operational procedures and the ability to implement them in response to changing environments. - Students will critically evaluate alternative approaches to data science on the basis of academic scholarship and case studies, demonstrating reflection on social and ethical responsibilities. - Students will formulate data-driven analytical judgments and plans despite incomplete information by integrating knowledge and approaches from diverse domains including statistical inference, machine learning, big data, computer vision, deep earning, and natural language processing. - Students will produce work driven by research at the forefront of the domain of Data Science. - Students will enquire critically into the theoretical strategies for applying data science and analytics within business and organizational contexts. - Students will gain facility with modern tools for data analysis, from data visualisation tools such as Tableau through platforms for analysing massive amounts of unstructured data, such as Hadoop or MongoDB, and cloud architectures for data analysis. - Students will develop new skills in response to emerging knowledge and techniques and demonstrate leadership skills and innovation in complex and unpredictable contexts. - Students will gain experience in working collaboratively on data science teams, including such skills as peer review, understanding contributor roles, and team dynamics.