Data Science and Decisions(DSD)

Career Opportunities

Data scientists have the skills to analyse and interpret the growing volumes and help convert this information into insights, which can transform businesses and industries. The soaring demand for employees with qualifications in data science and analysis means that career opportunities abound across a range of areas.

Practical applications of Data Science and Decisions

  • Internet search engines
  • Targeted digital advertisements
  • Product recommending systems
  • Image recognition, speech recognition
  • Machine learning in video games
  • Price comparison websites
  • Airline route planning
  • Fraud and risk detection
  • Optimizing logistics

Program Overview

429150

 

4 YEARS

3 INDUSTRY

TRAINING

PLACEMENTS

Who Should Apply

In addition to meeting the general entrance requirements for a Co-op scholar (see Are you the next Co-op scholar?), successful Data Science and Decisions applicants should:

  • Have a strong interest in mathematics and strong achievement in mathematics at a high school level
  • Have strong analytical and problem solving skills
  • Be curious and inquisitive
Find Out More about Data Science and Decisions

The Bachelor of Data Science and Decisions has been developed to train scientists to meet the current, and future, strong demand for Data Scientists and Data Analysts. Graduates will have broad and coherent knowledge and skills in Data Science across the three areas of mathematics and statistics, computer science, and economics, and they will gain deeper knowledge of Data Science in one of these three areas by pursuing studies in one of three streams.

Students will also have the opportunity to increase their breadth of experience using electives.

The Bachelor of Data Science and Decisions has been designed to:

  • Develop graduates who have a working knowledge of scientific criteria and methods of investigation, and a concern for objectivity and precision.
  • Enable students to understand the significance of science, technology, economics and social factors in modern society, and of the contributions they can make in improving material conditions.
  • Produce graduates able to read critically and with understanding, to think logically, and to communicate clearly by written and oral means.
  • Create graduates able to analyse information critically in a mathematical setting.
  • Allow students to understand the role of speculation in the selection and solution of problems, the construction of hypotheses, and the design of experiments.
  • Train graduates to work successfully as part of a team.
  • Train students to demonstrate knowledge and skills in formulating problems involving both qualitative and quantitative data.
  • Produce graduates able to prepare, process, interpret and present data using appropriate qualitative and quantitative techniques.
  • Enable students to apply mathematical and computational techniques and business sensibilities to real-world problems involving complex data sets.
  • Encourage graduates to apply the highest ethical standards to their professional and personal lives
  • Provide opportunities for the development of students' motivations and social maturity, and an awareness of their capabilities in relation to a choice of career which will be fruitful to themselves and to society.

For more information contact:

Professor Bruce Henry

Head, School of Mathematics and Statistics

Faculty of Science

T: +61 (2) 93857001

F: +61 (2) 93857123 E: b.henry@unsw.edu.au W: maths.unsw.edu.au

Sponsors

Industry Training

2016
2017
2018
2019

Key Application Dates