Master of Science (Data Analytics)
Program Overview
Master of Science (Data Analytics)
Description
The Master of Science (Data Analytics) provides students with the skills necessary for a career in data analytics, which involves data management, analysis, visualisation and interpretation as well as data-driven decision making. From a business perspective, the task of analysing performance and using those analyses to inform decisions about future actions has long played an important role in organisations and, in the past, it was often performed by people with accounting, finance or strategic planning skills. However, a number of trends - the growth of big data; increasingly complex organisations with more specialised functions; increased reporting, auditing, compliance and quality requirements; and more sophisticated analytical tools and techniques - has made data analysis both more important and more complex. Students will graduate with technical skills in the specific and highly sought-after area of data analytics.
This degree is only available as a combined program: Master of Business Administration (Global)/Master of Science (Data Analytics).
Program Learning Outcomes
Upon completion of this program, graduates will have:
- Specialised knowledge of statistical and/or computational models, concepts and proficiency in their application
- Specialist knowledge in statistical and/or computational techniques for analysing and interpreting data sets
- Critical thinking and analytical problem solving to support data management, analysis and data-oriented decisions
- Specialised knowledge and skills required to use contemporary Big Data technologies to store, manage, process and analyse large structured or unstructured data sets
- Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science
Admission Requirements
Entry into the Master of Business Administration (Global)/Master of Science (Data Analytics) will be available to applicants who have:
- An undergraduate degree (AQF level 7 equivalent), or higher, in a cognate field of study, including data science/analytics, statistics, computer science, engineering, mathematics, information technology, finance, econometrics, or physics.
- Applicants with an undergraduate degree (AQF level 7 equivalent), or higher, in other areas with significant quantitative components, including accounting, business, or commerce will be assessed for entry on a case by case basis.
English Language Requirements
- Overall minimum: 6.5
- Sub test minimum: 6 All Applicants must demonstrate that they meet the University's English proficiency requirement.
Program Requirements
To meet the requirements of this program students must complete the following 120 units:
- 60 units of Core Courses
- 20 units of courses chosen from the Course List
- 40 units of Electives
Program Structure
Core
Complete the following core courses to fulfil the requirements of this program.
- INFO6001: Database Management 1 (10 units)
- STAT6001: Data Wrangling and Visualisation (10 units)
- STAT6020: Predictive Analytics (10 units)
- STAT6100: Systems Thinking for an Integrated Workforce (10 units)
- STAT6160: Data Analytics for Business Intelligence (10 units)
- STAT6500: Data Analytics Project (10 units)
Course List
Choose 20 units from the following Course List.
- COMP6360: Data Security (10 units)
- GMBA6015: Digital and Social Media Analytics (10 units)
- INFO6002: Database Management 2 (10 units)
- INFO6090: Business Intelligence for the Enterprise (10 units)
- INFT6201: Big Data (10 units)
- SENG6110: Object Oriented Programming (10 units)
Electives
Complete 40 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.
AQF Level
The Master of Science (Data Analytics) is a Level 9 Master's Degree (Coursework).
Additional Handbook Information
- All students can access free academic skills and support provided by Academic Learning Support through the Pathways and Academic Learning Support Centre.
- Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.
- Through the Pathways and Academic Learning Support Centre, students can access a free suite of NUPrep preparation courses as well as Academic Learning Support.
- If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.
- All International Students enrolled in the program will be provided with an orientation to familiarise them with the rules, expectations, facilities and services offered by the University.
- AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester.
Program Details
- Type: Single Program
- Study level: Postgraduate Coursework
- Program schedule: Masters Degree (Coursework) (120)
- Units to complete: 120
- College: College of Engineering Science and Environment
- Full time duration (years): 1.5
- Max time to complete (years): 5
- Term type: Semesters and Trimesters
- Locations of offer: Sydney