Bachelor of Data Science

Our bachelor of data science will allow you to develop core skills in data science that encompasses key elements from mathematics, statistics, computing, artificial intelligence, and machine learning. 

Degree overview
Access cutting-edge facilities and novel technologies

• Many of today’s problems rely on understanding and analysing data to solve them. From community health and tracking activity in social networks, to understanding our environment and climate change, data scientists are increasingly in demand.
• Data scientists create and use a variety of tools and frameworks to examine patterns in data. These findings are then communicated to inform decision making and business strategy.
• Our computer science laboratories provide the perfect practical environment to apply your knowledge and test your skills. As a student, you will use the latest data analysis and programming software such as Python, R Java, and SQL.

Career opportunities

• Data science is a high-growth field with a myriad of career opportunities. Jobs exist all over the world in almost every industry, from IT to business, manufacturing, defence and many more.
• Data scientists have been identified as being in high demand in Australia according to the World Economic Forum’s The Future of Jobs Report 2020.

Professional outcomes:

• Information security analyst
• Big data specialist
• Digital transformation specialist
• Software architect
• Data scientist
• Web developer

Students enrolled in this degree are encouraged to apply for the Data and Digital Cadet Programs, delivered on campus in collaboration with The Australian Public Service (APS).

Through this program, you can gain valuable industry experience while completing your studies. APS supports you while you obtain your degree, offering a study allowance each semester. Upon program completion, successful students will be offered an ongoing full-time job with the organisation.

Course overview

• Our Bachelor of Data Science will allow you to develop core skills in data science including data wrangling and visualisation, statistical modelling, programming, data security, and applied artificial intelligence including machine intelligence. You’ll also have the opportunity to apply these skills by engaging in current workplace projects alongside industry partners of the University, giving you a competitive edge when you’re entering the workforce.

Key areas of study include:

• Data Wrangling and Visualisation
• Data Structures and Algorithms
• Data Mining and Big Data
• Statistics and Time Series Analysis
• Network and Data Security
• Machine Intelligence and Deep Learning
• Work Integrated Learning

Core
Complete the following core courses to fulfil the requirements of this program.

• COMP1140 Database and Information Management
• COMP3260 Data Security
• COMP3330 Machine Intelligence
• COMP3340 Data Mining
• COMP3851A Computing and Information Sciences Work Integrated Learning Part A
• COMP3851B Computing and Information Sciences Work Integrated Learning Part B
• INFT2150 Business Analysis
• MATH1110 Mathematics for Engineering, Science and Technology 1
• MATH1120 Mathematics for Engineering, Science and Technology 2
• MATH1510 Discrete Mathematics
• SENG1120 Data Structures
• STAT1100 Data Communication and Modelling
• STAT1300 Fundamentals of Statistics
• STAT2020 Predictive Analytics
• STAT2300 Statistical Inference

Course List (1000 level)
Complete 10 units from the following course list.

• INFT1004 Introduction to Programming
• SENG1110 Object Oriented Programming

Course List (2000 level)
Complete 10 units from the following course list.

• COMP2230 Algorithms
• INFT2031 Systems and Network Administration
• STAT2000 Applied Statistics and Research Methods

Course List (3000 level)
Complete 10 units from the following course list.

• INFT3800 Professional Practice in IT
• STAT3030 Generalised Linear Models
• STAT3040 Forecasting with Linear Time Series Models

Electives

• Complete 60 units of electives to fulfil the requirements of the program. Electives can be used to extend and complement your core studies with more courses in the same field of study, or from areas that might be of interest to you. Electives can be chosen from all courses available at the University that do not have any other conditions (such as a course requisite) applied to them.

Career-ready placements

• While studying, take advantage of up to 280 hours of work placement in your final year, and access to cutting-edge facilities such as our computer science laboratories.
• You’ll also use the latest data analysis and programming software such as Python, R, Java, and SQL which are broadly applied across a variety of industries.

Campus Life

• Our campuses are welcoming, inspiring, and collaborative places for students, staff, and the community. Explore our beautiful campuses and discover what it’s like to study at the University of Newcastle.

Scholarships

• Our scholarships recognise achievement and support enthusiastic and dedicated students. If you are a current student, or planning to study with us, we encourage you to apply for all scholarships you meet the criteria for.

Accommodation

• Living on campus is an experience unlike any other. Whether you're from across Australia or around the globe, your home on campus is where you'll form lifelong friendships and harness your potential in a supportive and diverse community.