Data Science and Decisions - 3959
Program Summary
Faculty: Faculty of Science
Contact: www.science.unsw.edu.au
Campus: Sydney
Career: Undergraduate
Typical UOC Per Semester: 24
Min UOC Per Semester: 6
Max UOC Per Semester: 24
Min UOC For Award: 144
UAC Code: 429150
Domestic Entry Requirements: See Domestic Entry Requirements
International Entry Requirements: See International Entry Requirements
View program information for previous years
Program Description
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.
Program Objectives and Graduate Attributes
- 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.
Program Structure
TOTAL OF 144 UOC
|
120 UOC
|
72 UOC core courses and
An approved major* |
12 UOC
|
Free electives: these courses can be taken from any Faculty at UNSW.**
|
|
12 UOC
|
General Education courses: these courses cannot be Science, Engineering or Business courses.
|
The three majors available in the Bachelor of Data Science and Decisions are:
Quantitative Data Science
Business Data Science.
and Computational Data Science
**Students are encouraged to consider SCIF2199 (Science Work Placement) or an equivalent course as free elective.
Sample Program Guides
The Faculty of Science has created undergraduate program guides to help students choose courses based on the requirements of their chosen major/s. The documents should be used as a guide only and in conjunction with the program rules outlined below.
To access the program guide for your major, visit Undergraduate Program Guides.
Students are required to take the following core courses:
Stage 1
- COMP1511 Introduction to Programming (6 UOC)
- COMP2521 Data Structures and Algorithms (6 UOC)
- DATA1001 Intro Data Science (6 UOC)
- ECON1101 Microeconomics 1 (6 UOC)
- MATH1131 Mathematics 1A (6 UOC) or MATH1141 Higher Mathematics 1A (6 UOC)
- MATH1231 Mathematics 1B (6 UOC) or MATH1241 Higher Mathematics 1B (6 UOC)
- ECON2112 Game Theory and Business Strategy (6 UOC)
- MATH2501 Linear Algebra (6 UOC) or MATH2601 Higher Linear Algebra (6 UOC)
- MATH2801 Theory of Statistics (6 UOC) or MATH2901 Higher Theory of Statistics (6 UOC)
General Education Requirements
Additionally, GENS, GENC and GENE courses cannot count as General Education for students enrolled in this program. Any exceptions to these rules must be approved by the Associate Dean (Academic Programs) in the Faculty of Science, or nominee.
Honours
Academic Rules
- Students enrolled in the Bachelor of Data Science and Decisions must complete a minimum of 144 units of credit (UoC).
- Students must complete exactly one approved Bachelor of Data Science and Decisions stream. Students need to declare their chosen stream before commencement of Stage 2 of the program. Information on how to declare a Science major can be found on the Science Student Centre website.
- Students may not enrol into non-core Level II courses until at least 30 UoC of Level I courses have been successfully completed.
- Students may not enrol into Level III courses until at least 72 UoC of courses have been successfully completed.
- A maximum of 72 units of credit of Level I courses can be taken, including any GEN#### course.
Fees
Award With Distinction
Area(s) of Specialisation