Bachelor of Data Science / Bachelor of Mathematics

On successful completion of the program students will have:

• Expertise: You will be a data scientist who can draw on a body of knowledge that spans data science, data analytics, data architecture, data engineering, and data wrangling, to apply yourself across a range of professions, projects, and problems.
• Awareness: You will be to apply your learning and skills to create new understandings of the world and real world issues that lay at the intersection of many traditional and emerging disciplines.
• Tenacity: You will be a problem solver and an innovator who can identify, draw upon and manage resources to take a project from concept to completion.
• Perception: You will be a critical thinker who has keen insight and a broad perspective of the world to find solutions to complex problems.
• Responsiveness: You will be a person who has the flexibility to work in many different environments, to harness collective knowledge within local and global professional networks, to communicate effectively, to work with people and have an appreciation of others.
• Integrity: You will be a professional who can apply your skills and knowledge of data science to the highest ethical standards responsibly and honestly.
• Knowledge: You will possess in-depth knowledge and skills in at least one area of mathematics to a depth sufficient for further study, research or employment as a mathematician or statistician or data scientist; with proficiency in the fundamentals of mathematics or statistics; and an awareness of areas of mathematics/statistics and understanding of connections between them.
• Understanding: You will have the ability to formulate mathematical/statistical problems, validate mathematical/statistical models and to interpret their results, and apply and adapt mathematical or statistical knowledge to a wide range of situations.
• Skills: You will be a problem-solver who will use their judgement and ability to form conjectures and test them using mathematical or statistical methods, reason formally from hypotheses to conclusions, develop mathematical/ statistical methods to solve problems, and will be experienced in the use of mathematical and statistical resources from the literature or in computational tools.
• Responsiveness: You will be able to effectively communicate with the mathematical and broader community, using mathematical or statistical tools to assimilate and articulate mathematical/statistical concepts and arguments with clear and systematic reasoning in an appropriate form.
• Flexibility: You will be able to work in many different environments and have the capacity to both work independently as well collaboratively as part of a team.
• Ethical Practice: You will have an understanding of the importance of standards of mathematical practice within the profession and broader community, an awareness of the importance of using appropriate mathematical and statistical models, the ability to validate the reliability of mathematical and/or statistical techniques and cognisant of their scope, and a commitment to keep up with developments in mathematics/statistics.