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Study Master of Data Science online through Open Universities Australia. Explore all degrees, subjects and short courses now.

Our river basins or catchments have been progressively transformed over time. We&#39;ve built cities, we,ve cleared land for food production, and this has had profound consequences for our catchments.With this specialist degree you&#39;ll learn to combine and use scientific, engineering and economic knowledge to planning ways to protect, restore and rehabilitate our catchments. You&#39;ll develop the leading edge knowledge and skills needed to make a difference in this rapidly developing area of professional practice.The Master of Catchment Science is the only catchment-dedicated postgraduate degree in the world. Hosted by the International WaterCentre and developed and delivered in collaboration with Griffith University.

Learn how to preserve our river basins through science and data. Understand water resource management, and how to plan for disturbances through modelling. When you graduate, you can enrol in the world’s only catchment-focused Masters Degree.

Graduate Diploma of Catchment Science

This program provides students with a broad range of knowledge, skills and resources to practise effectively as a clinical pharmacy practitioner involved in the quality use of medicines and pharmaceutical care. These skills include the capacity to individualise, review and monitor a patient&#39;s medication regimen; demonstrate effective communication skills in clinical and non-clinical scenarios; critically appraise medical and pharmaceutical literature, as well as to recognise and describe social issues relating to medicine use.In addition pharmacists will gain insight into contemporary management strategies for pharmacy and health care as well as explore research and evaluation of pharmacy services and practice.Regular updates of the program integrate emerging clinical evidence and current controversies. A major strength of the program is the emphasis on developing clinical practice and the integration of evidence based medicine.

Focus on evidence-based, patient-centred care. You’ll explore up to date management and optimisation of pharmacotherapy. Gain skills to provide positive patient outcomes within a complex health environment. Taught by world-leading teachers.

Master of Clinical Pharmacy

Scientific Computing

Mapping, Analysing and Visualising Data

Introduction to Spatial Information

From Logic to Data Processing

Data and Analysis

Data Analytics Concepts

Business Intelligence

Data Analytics for Cyber Security

Data Visualisation

Data-Based Critical Thinking

The world now runs on data. If knowledge is power, data science is increasingly how we discover that knowledge. With limitless possibilities for exploration and innovation, it is a field driven by discovery and communication. This subject introduces you to data science using simple and efficient toolkits in Python. You will explore various datasets and apply machine learning algorithms to them. In doing so, you will gain an understanding of data processing workflows, exploration, and visualisation, as well as a conceptual understanding of many of the algorithms themselves. Designed to be exploratory and collaborative, the subject offers you invaluable insights into a rapidly evolving field with diverse and increasingly important applications.

Data Science Studio 1

In an era of rapid technological innovation, data and the capacity to process it are the most valuable assets in many fields. Studying this subject, you will learn how data is represented, stored and processed in computer systems. Extending your high-level technological literacy, the subject introduces you to a way of thinking that uses abstraction to move from low level hardware concepts to higher level programming concepts. Working through the natural progression of related concepts in computer programming, you will first explore how circuits can implement logic, then how logic lets us implement computer architecture (memory, processors), and how assembly language lets us write programs that manipulate data, before circling back to the relationship between programs and logic.

Get an introductory understanding of the links between logic, reasoning, data, and computation. Learn how data is represented, stored, and processed in computer systems. 

This subject introduces essential concepts and techniques of computing for conducting science, with special emphasis on the preparation and manipulation of data. We discuss the role of computers and computing tools in science and focus on the use of spreadsheets and other data manipulation tools. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.

Build data and IT skills that you’ll use throughout your science degree and career. You’ll learn how to collect, prepare, and process data using computers. See how spreadsheets can enhance the efficiency and accuracy of your scientific research.

Throughout history, maps have been fundamental in shaping our view of the world and articulating our place in it, at local and regional scales. Maps guide us in everyday tasks but can also be a means to get global overviews on current topics. Today, as in the past, geo-spatial information is a valuable commodity, harnessed by researchers, governments, business and the public. But maps are not purely scientific objects; they are inherently ideological and subjective, communicating the beliefs, power structures and aspirations of particular times, people and places. This subject introduces concepts and perceptions of geographical space and relationships in different cultures, past and present.This is a level 1 subject and includes live sessions with the expectation of student attendance and participation.

This subject is designed to give students a general overview of spatial information and its applications. Spatial information is becoming an increasingly prevalent part of our daily lives. The ability to incorporate spatial information into various applications is a valuable skill, with applications across all manner of disciplines and vocations. This subject will introduce students to Geographic Information Systems (GIS) and basic remote sensing analysis.In this subject, students will learn the fundamental concepts underpinning spatial information, and how to represent a variety of variables in a spatial way. Content in this subject is delivered at the introductory level for students who may be curious about the potential of spatial information, and want to develop a basic skillset to analyse and interpret datasets. Concepts that will be introduced include: spatial referencing systems, types of spatial data, creating new datasets, basic image analysis, and data visualisation.

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as performing scenario analyses and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

Get up to speed with basic data analysis using SQL and Excel. You’ll delve into the data analytics concepts and processes used in business today. Find, present, and explain data trends. Solve complex business problems.

Note: If you study this subject in Winter, the subject will be a shorter duration (5 weeks) and will require at least 20 hours of study per week.Data analytics is present in every moment of our lives. Smartphones, smart cars, smart fridges. Netflix, Stan, Amazon, and Facebook. Strava and Nike providing feedback on your current workout. FlyBuys, Qantas Frequent Flyers, and Woolworths Rewards. At the heart of comprehensive data collection and analysis is a desire and quest to understand ‘everything’, and this unit invites students into every layer of this data-driven world. MSP202 teaches students how to clean, manipulate, and transform data into creative visualisations using Microsoft Excel to tell a story for invested stakeholders. Students examine the impact of data analytics in the context of their career and the world of work more broadly, including the spheres of marketing and communications, journalism, the creative arts, sport, health, and education, grounding practical skills in a social context and reinforcing the how and why of data analysis. We explore ethical issues relating to data surveillance, the positive and negative implications of data mining on human behaviour, and the analytics machines central to the functioning of Google, Amazon, Facebook, and Uber. The unit offers students the skills to engage with data with an awareness of ethical considerations, and the capacity to manipulate that data to make sense of it for invested stakeholders, telling a story that has the capacity to change the world.Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: <a href="http://goto.murdoch.edu.au/MurdochAcademicPassport" target="_blank">http://goto.murdoch.edu.au/MurdochAcademicPassport</a>

Work with data and see the impact you can have on everyday life. From collection to analysis, you’ll explore how data tells stories, informs decisions, and influences human behaviour. Get creative with visualisation. Get ethical with your approaches. 

The Search for Everything: data Analytics and Storytelling in the 21st Century

This subject introduces students to modern data analytics, visualisation, and statistics. It equips students with the skills required to take advantage of powerful computing for the analysis and visualisation of complex data. These skills are used to solve problems in areas such as the biological sciences, medical sciences, agricultural sciences, nutrition, health sciences, education, and business. Students will become familiar with data visualisation and computing, descriptive statistics, statistical modelling, and data-based decision making. Using statistical computing packages is an integral part of this subject. This subject allows further study in second-year subjects in statistics and data science.

Making Sense of Data

In this subject, you are introduced to quantitative statistics, qualitative coding and the role of health data analytics in healthcare organisations and public health research. Key emphases include understanding the importance of healthcare data as an asset, identifying and applying the key elements of the data capture and analysis process in key research methodologies, along with effective presentation, communication and dissemination of findings beyond peer review publications. You will also investigate the role of health data analytics in quality and performance indicators. This subject includes synchronous sessions held during business hours. This means that you will attend sessions each week simultaneously with your facilitator and classmates. This subject is recommended for first-year undergraduate students.

Introduction to Data Analytics in Healthcare

The use of data in management decision making is essential for organisations of all sizes to be able to uncover and respond to opportunities and threats. The fields of business intelligence and analytics (including data mining) have consistently been top investment priorities, and with the new capacities of self-serve, visualisations and cloud-based (web-based) technologies, organisations are becoming even more information rich. The course explores how professionals can use information systems and business intelligence to conduct an analysis of business operations and performance for enhanced decision making. Be introduced to concepts, processes and technologies in business intelligence and business analytics, and learn to use selected analytics, to interpret solutions for business-related problems and provide relevant business advice.  This is a great course for those who have not had experience with business intelligence, and who don’t come from a technical background.  UniSA Online’s 10-week short courses give you the flexibility to upskill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree. This is a second-year course from UniSA Online’s Bachelor of Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1075 or equivalent will support your success. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Make better business decisions using analytics and information systems. You’ll explore key analytics tools and methods. Gain the competitive advantage with reliable business intelligence. Identify opportunities, optimise processes, and drive profitability.

Master of Data Science Courses & Degrees | Open Universities Australia

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