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

Applied Psychology

Introduction to Psychological Design and Statistics

Applied Contract Law

Applied Cyber Security

Applied Human Resource Management and Change

Statistics

Applied Mathematics Foundation

Applied Biology

Applied Chemistry

Applied Criminal Justice

Students discover how the rules of contract formation and operation apply in the business world. Students learn how to understand common business contractual terms and implications to develop an appreciation of how contracts are used to allocate risk. Global, technological, social and ethical issues in relation to contracts are explored and finally, students learn about common law rules dealing with disputes and damages and how businesses resolve contractual disputes in the real world.Please Note: If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.Find out more about the <a href="https://www.curtin.edu.au/students/essentials/rights/academic-integrity/aip/" target="_blank">Academic Integrity module</a>.

Sharpen your understanding of contract law principles. Learn how contracts are formed, negotiated and performed. Explore the circumstances in which a contract can be terminated. Focus particularly on the role of the contract in the business world.

Elevate your software development skills with our student-focused course on data structures and algorithms.Learn to select and implement the right tools to solve complex problems, covering key topics such as the Java programming environment, inheritance, interfaces, polymorphism, exception handling, and the Java API. Master fundamental algorithms like searching, sorting, and graph traversals, and explore advanced file I/O techniques. Ideal for computer science students, this course will equip you with the practical skills needed to excel in software development.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 Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from COMP 1048 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.

Applied Data Structures

Students completing this subject develop an advanced understanding of the International Baccalaureate pedagogical strategies to promote and maximise student learning and engagement. Students learn about the developmental approach to learning and teaching with a particular focus on inquiry-based learning. Students investigate research-based pedagogies and apply them to children’s and adolescents’ learning. Students develop a capacity to think critically about the way pedagogies are applied in different circumstances for varying purposes, taking into account the broad social, political, and economic context of schools. A focus of the content is on non-traditional pedagogical approaches that foster and encourage student’s creative capacities through their own inquiry.

Applied Pedagogy

This unit provides a broad introduction to statistical concepts and data analysis techniques, providing basic statistical knowledge. The unit dedicates itself to developing an understanding of statistical practice and illustrates this by studying the techniques most commonly employed in the sciences, social sciences, and humanities. Topics covered in this unit include data collection methods, data quality, data summarisation, basic probability, random variables, and statistical models like the normal distribution, followed by sampling distributions and statistical inferences about means and proportions. Also studied are analysis methods relating to comparisons, counted data and relationships, including regression and correlation. Excel is used for handling and analysing data and word processing to report the results.

Introductory Statistics

This unit will introduce you to the psychology sub-disciplines of applied intercultural and community psychology. It will focus on theory and methods, as well as the ways in which interactions within and across different cultures influence behaviour, well-being, cognition, and the constructions and understandings of self, others and social reality. With a focus on strengths and competencies, not simply deficits and or inequities, the unit will include review of historical antecedents, paradigms, conceptual models, strategies and tactics of social and community change and action. Topics will include theory and evidence-based examples and methodologies from selected contexts and social systems, such as education, mental health, community organizations, the workplace, health care, the justice system, and social services.

Applied Intercultural and Community Psychology

In this subject, you will learn how to apply research to solve real world problems of the sort that you will encounter in your practice as health professionals. This subject will employ experiential learning principles through nested and authentic assessments. This will give you the opportunity to learn research methods in a sequential manner and receive focused feedback, thereby increasing confidence to use your research skills in future professional roles. From the first week students will be placed in research teams to enable collaboration and support across the subject. In groups, you will begin by developing your skills in identifying a problem, developing a research question and objective, and designing a review protocol to locate, appraise and extract information from relevant high-quality sources. Next, you will conduct a search and synthesise findings in a transparent scientific format whereby you practice the skills of narrative and tabular summaries. Subsequently, you will be exposed to data and gain basic statistical knowledge needed to prepare a data report and contextualise your findings within the broader literature. Finally, student research teams will take part in a group poster presentation whereby the findings from across the semester are summarised and contextualised. You will have the chance to identify future research cycle improvements and reflect on your work across the semester. Additionally, members of the La Trobe research community will present their work to demonstrate practical applications of research skills relevant to health professionals. In conclusion, PHE2AHR is a second year subject, therefore to ensure your best opportunity for success in meeting the subject&#39;s intended learning outcomes, it is recommended that you have completed at least 120 credit points before enrolling.

Applied Health Research

In this subject you will develop a specialist working knowledge of health data standards; health data collections; government, insurance and other sectoral health data reporting requirements, and the relationship between these and health service measurement and financing. Models of Activity-Based Funding, including case mix-based systems, and their underpinning reporting and analysis requirements are studied. The pivotal role of the Health Information Manager within all of these arrangements is addressed. You will develop an understanding of the policy and funding frameworks for public and private health services and supporting clinical costing and modelling methods. You will develop competency in health data analytics, and analysis and reporting of hospital and health service utilisation statistics and published health data. Case studies inform your learning of these concepts and your analyses of morbidity, mortality, clinical, productivity and health service data. 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 second-year undergraduate students, and for students who have completed all first-year subjects in the Bachelor of Health Information Management.

Health Data, Funding and Statistics

Data Handling and Statistics 1 is the first of three applied statistics subjects offered by the School of Natural Sciences (Mathematics). Statistics is the science of decision making, and as such forms a key foundation of any scientific research. This subject develops skills in statistical analysis and project design. Data Handling and Statistics 1 is an applied subject that develops conceptual understanding of the foundations of modern Statistics together with practical skills in data analysis. This is a hands-on subject that provides experience with the common techniques of descriptive and inferential statistics.

Data Handling and Statistics 1

In this subject, you will apply your research skills to real-life or industry projects. Working in a group you will plan and conduct the project and analyse and interpret the data collected. Individually and as a group, you will be expected to apply critical thinking skills and creativity when communicating the project outcomes and recommendations to relevant stakeholders or industry.

Applied Research In Nutrition

This unit provides students with an introduction to research design and statistical analysis. In this unit, students will learn about common research methods used in psychology and related disciplines, critically analyse these methods, and be able to conduct their own analyses. Both experimental and non-experimental research methods are covered, as well as a variety of statistical tests, including t-tests, correlation, and chi square analyses.Students will learn data management techniques and appropriate methods to summarise data, including both numeric and graphical summaries. Students will also gain hands-on experience using the statistical software Stata.

Learn how to design research and use statistics in psychology. You’ll get to know common statistical techniques and software. Conduct tests, summarise data, and communicate your findings. Think about the role of research in psychological science.

Master of Applied Statistics Courses & Degrees | Open Universities Australia

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