2020 Undergraduate Courses
  • Students are to follow the requirements of the Handbook for the year they commenced the course.

    However, the subject links below do not contain the subject information for the current year. You can view current subject information through the new Course Handbook.

Bachelor of Data Science and Analytics | 2020

Testamur Title of Degree:

Bachelor of Data Science and Analytics



UOW Course Code:




Total Credit Points:



3 years full-time or part-time equivalent

Home Faculty:

Faculty of Engineering and Information Sciences

Intake Session(s):


Delivery Mode:


Delivery Campus / UAC Code:

Wollongong / 756522


The Bachelor of Data Science and Analytics is designed for students who wish to develop strong, rigourous mathematical, statistical and computing skills, which combined with good communication and consulting skills, will enable them to pursue a career in the data driven industries. The vast increase in data available in science, industry, commerce and governments has led to demand for professionals who can design, organise, manage and manipulate databases and sources, and analyse and extract useful and actionable insights and information from data sets of differing size and complexity and effectively communicate the conclusions. The degree will develop highly transferable technical and professional skills.

A Data Science and Analytics (Honours) degree is available to candidates who have achieved a distinction average or better in the Bachelor Data Science and Analytics degree.

Entry Requirements & Credit Arrangements

Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder.

Course Learning Outcomes

Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able to:

CLO Description
1 Identify and address ethical issues arising in their professional activities.
2 Design, organise, manage and manipulate databases and sources, and analyse and extract useful and actionable insights and information from data sets of differing size and complexity, including unstructured data.
3 Determine appropriate procedures to use to generate, obtain and analyse complex data in a wide variety of situations.
4 Effectively communicate with a client, user or decision maker to identify the problems and determining the next step, and report findings.
5 Plan, manage your involvement in, and undertake a project, both with autonomy and as part of a team, and report to a client in a timely and effective manner.

Course Structure

To qualify for award of this degree, a candidate must satisfactorily complete at least 144 credit points, comprised of the following:

Subject Code Subject Name Credit Points Session(s)
Year 1
CSIT110Fundamental Programming with Python6Autumn
CSIT111Programming Fundamentals6Autumn, Spring
CSIT113Problem Solving6Autumn
MATH187Mathematics 1: Algebra and Differential Calculus6Autumn
CSCI203Algorithms and Data Structures6Spring
CSIT115Data Management and Security6Autumn, Spring
MATH188Mathematics 2: Series and Integral Calculus6Spring
STAT101Introduction to Statistics6Spring
Year 2
CSCI235Database Systems6Autumn, Spring
CSIT121Object Oriented Design and Programming6Autumn, Spring, Summer 2020/2021
MATH201Multivariate and Vector Calculus6Autumn
STAT201Random Variables and Estimation6Autumn
ISIT312Big Data Management6Spring
MATH203Linear Algebra and Groups6Spring
MATH318Optimisation and Applications6Spring
STAT202Statistical Inference and Introduction to Model Building6Spring
Year 3
CSCI317Database Performance Tuning6Autumn
DSAA311Data Analytics and Visualisation6Not available in 2020
STAT332Generalised Linear Models6Autumn
STAT335Sample Surveys and Experimental Design6Autumn
CSCI316Big Data Mining Techniques and Implementation6Spring
DSAA301Professional Practice6Not available in 2020
STAT301Statistical Methods for Data Science6Spring
STAT304Stochastic Methods in Statistical Analysis6Spring


A fourth year of study, Honours, is available to students who have achieved a Credit average or better in the Bachelor of Data Science and Analytics. It is a more challenging program that includes a research project. Students who wish to enter the Honours program should obtain the approval of the Honours Coordinator at the end of their third year.

Other Information

For further information email: eis@uow.edu.au or Academic Program Director.


Last reviewed: 18 September, 2019