Master Of Data Science And Decisions

Overview

Our world contains an unimaginably vast amount of digital information. Extracting meaning from this data can drive business forward, enable next-generation scientific breakthroughs and produce benefits that make a positive difference in our world.

But it’s a challenging task which requires strong skills and training. Data scientists are the people with that expertise, which explains why they have become key players in today’s job market.

From industries as varied as health, defence, finance, transport and logistics, to agriculture, media and technology, there’s a growing reliance on data science professionals to deliver meaningful business insights.

Prepare yourself for excellent employment opportunities in this fast-growing field with the Master of Data Science and Decisions. Your study will explore programming languages, problem-solving and processing/interpreting/presenting data using qualitative and quantitative techniques.

Key Features

• Suitable for launching or accelerating your career
  This degree is designed for STEM graduates who are looking to enter the field and professionals who are looking to upskill. If you've recently graduated with a Bachelor of Mathematics, a Bachelor of Science (with a major in mathematics, statistics or computer science) or a Bachelor of Data Science and Decisions, this degree is a great next step on your professional journey. If you have industry experience in computer science, statistics or business analytics, this master’s program will expand your skills and knowledge to position you as a leader in your field.

• Foundational skills, specialisations and project work
  This program will consolidate your skills across three key areas: mathematics and statistics, computer science and economics. You’ll gain deeper knowledge in your area of interest by pursuing a specialisation in computational, business, behavioural or quantitative data science and decisions. You’ll also develop research and communication skills in data science through project work.

Why Study This Degree At UNSW?

Learn With The Best

• We’re ranked 39th in the world for Mathematics.*

• We’re ranked 49th in the world and 1st in Australia for Engineering & Technology.**

• UNSW Economics and Econometrics is ranked in the top 50 worldwide.***

Harness The Expertise Of Three Schools

You’ll benefit from the expertise of educators across three different schools at UNSW: Mathematics and Statistics, Computer Science and Engineering and Economics.

Leverage Our Industry Connections

Advance your career with industry relevant skills and experience. Tap into our network of 400+ industry and research partners to expand your professional connections.

Join A Supportive Student Community

At UNSW, equity, diversity and inclusion are integral to our success. We’re also committed to inspiring women to pursue an enriching career path in STEM (Science, Technology, Engineering and Mathematics).

Entry Requirements

For entry into this degree, you must have one of the following:

• a Bachelor of Mathematics

• a Bachelor of Science with a major in mathematics, statistics or computer science

• a Bachelor of Data Science and Decisions

• an undergraduate degree in a cognate discipline as determined by the program authority

You also need to have a sufficient background in mathematics and/or statistics and/or data science, as indicated by an average of 70 or above in appropriate level III university courses.

English Language Requirements

You may be asked to provide evidence of your English proficiency to study at UNSW depending on your educational background and citizenship.

English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment.

If you’re completing an Australian Year 12 qualification (e.g. NSW HSC or equivalent), you do not need to provide anything extra to prove your proficiency. Your qualification will be used as evidence of your English proficiency.

If you do need to provide evidence of your English proficiency, this will be indicated in your application. You can prove this by providing evidence that you meet one or more of the following criteria:

• English language tests and university English courses

• Prior study in the medium of English

• Other qualifications

Program Structure

This Master of Data Science and Decisions explores the methods for organising, modelling and analysing large and complex data for business, governments or other organisations.

You’ll study core foundational knowledge combined with a specialisation in quantitative, computational, business or behavioural data science and decisions. You’ll also develop research and communication skills in data science through project work.

Full Program Structure

The Master of Data Science and Decisions can be completed in two years of full-time study. It can also be studied part-time. The program is made up of 16 courses, including 11 core courses, four courses from your chosen specialisation and one elective course from another specialisation.

Core Courses

• Database Systems

• Data Visualisation

• Data Science and Decisions Project A

• Data Science and Decisions Project B

• Fundamentals of Data Science

• Business Economics

• Economics of Strategy

• Multivariate Analysis

• Statistical Inference

• Foundations of Computer Science or Principles of Programming

• Machine Learning and Data Mining or Data Mining and its Business Applications

Specialisations

• Computational Data Science and Decisions
  Specialise in computational methods to manipulate, understand and predict data.

• Behavioural Data Science and Decisions
  Specialise in interpreting, understanding and predicting data for use in business.

• Business Data Science and Decisions
  Specialise in methods of interpreting, understanding and predicting data for use in business.

• Quantitative Data Science and Decisions
  Specialise in mathematical and statistical methods to interpret, understand and predict data.

Articulation

The graduate certificate and graduate diploma provide an articulation pathway into the Master of Data Science and Decisions.