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

The 100% online Bachelor of Information Technology provides a solid foundation in IT, covering key areas like programming, cybersecurity, cloud platforms and big data. You’ll explore emerging technologies, gain hands-on experience with industry-standard tools, and develop the practical problem-solving skills employers need.Discover how to design intelligent systems, build secure networks and interpret complex data. Develop practical expertise in programming, cloud computing and user experience design, while gaining up-to-date skills in business analysis and software development.Prepare for a wide range of careers in sectors such as finance, healthcare, government and entertainment. Whether you’re aiming to become a software developer, business analyst or IT consultant, you’ll graduate ready to solve real-world problems with innovative solutions.

Build a solid IT foundation – and a platform for new roles as they emerge. You’ll learn programming, cybersecurity, and data analysis. Build real projects. Solve real problems. Graduate ready to design secure and scalable solutions across industries.

Bachelor of Information Technology

Adelaide University’s 100% online Bachelor of Data Analytics offers a pathway to the growing field of data science, equipping you with skills to turn data into valuable insights that drive business success. Co-developed by industry and expert academics and backed by practical experience and real-world case studies, this degree prepares you to graduate with in-demand skills aligned to the latest industry innovations.Develop a comprehensive understanding of data analytics and the life cycle of data - including how information is created, gathered, processed, used and analysed. Explore emerging trends such as machine learning, cloud computing, AI, and social media analytics, while becoming proficient in R and Python coding and other data analytics software used by industry professionals.

Spin up data-driven solutions for industry. You’ll study programming, statistics, AI, and machine learning. Complete a capstone project solving real industry problems. Graduate ready for high-demand roles as a data scientist, strategist, or analyst.

Bachelor of Data Analytics

Gain an industry-recognised qualification in just two years and jump-start your data analytics career with Adelaide University’s 100% online Associate Degree in Data Analytics. Whether you’re starting out or looking to upskill, learn the latest industry tools and graduate ready to step into a dynamic and growing field.Develop the skills to turn raw data into powerful insights, and learn how to collect, manage, and analyse information to help any organisation grow and thrive. Discover how to use the latest tools and techniques for data cleaning and data acquisition, and how to select data and algorithms to generate insights.Learn problem-solving, maths, and statistics, and apply your knowledge in simulated work environments. Explore real-world case studies and experience what it’s like to work as a data analyst. Get up to date with the latest technology and software, ready to succeed when you graduate.

Launch your data career in just two years. You’ll cover programming, database design, and data analysis. Explore real-world case studies and gain hands-on experience. Graduate job-ready for entry-level roles – or continue to study with credit.

Associate Degree in Data Analytics

The Graduate Certificate in Sports Analytics is designed to ensure you develop an evidence-based foundation in sports analytics, and a sound understanding of the relevant concepts and application of data science and technologies to suit the sports industry. The degree is delivered online, with a curriculum that will provide knowledge and skills immediately applicable to your employment situations. The degree embeds research-led teaching at the core of its curriculum to deliver evidence-based knowledge and practice for immediate application in industry.

Learn how data unlocks the competitive edge. You’ll combine technical Python skills with current approaches to data storage and reporting. Explore data’s role in elite sport. Become a valued sports specialist who maximises performance outcomes.

Graduate Certificate in Sports Analytics

The Bachelor of Business has a focus on developing innovation and impact in a complex and changing business world with inspired and multidisciplinary learning experiences. You’ll become equipped with the practical skills, tools and knowledge that are vital for the sustainability of society, business and industry.Build a portfolio of professional experiences through a range of real world interactions with employers, industry and the community.You can undertake the course with a professionally accredited accounting or financial services specialisation. Alternatively, you can choose a major in either business and data analytics, entrepreneurship and innovation, international business, marketing, tourism and event management or aviation management, combining this with an industry project or an internship or a shared major from disciplines across the University.

Generate valuable insights to help businesses make better decisions. You’ll study statistical techniques for real-world problem solving. Build awesome dashboards to display your data. Produce market intelligence and feed into business forecasting.

Bachelor of Business (Business and Data Analytics)

Learn to use data to make informed business decisions. A Bachelor of Business majoring in Business Analytics will include building foundational programming skills for business analytics and developing knowledge on the business context and various applications of analytics in a range of business scenarios. Business analytics is an exciting and emerging discipline that combines technology-related skills with business acumen.The Business Analytics major aims to provide students with an understanding of the impact, potential and limitations of business analytics for businesses in today’s data-driven world. The major develops a range of skills and competencies that enhance existing skills common to business professionals and develop new skills that are now considered necessary for business professionals. Business Analytics is positioned at the intersection of business and Information, Communications and Technology (ICT). As such ICT-related skills will be developed and applied with a specific focus on application for businesses by business professionals, along with the development of other skills relevant to business analytics such as critical thinking, problem solving, communication and teamwork. The Business Analytics Major is relevant for all business professionals due to the ubiquity and proliferation of data and the significant potential of the wealth of data to provide businesses with a competitive advantage.

Choose a business degree that empowers you with one of the most important skills in business today: data analytics. Graduate with skills that put you at the forefront for tech-driven roles. Learn how to make business decisions based on data.

Bachelor of Business (Business Analytics)

If IT is your passion, our Bachelor of Information Technology immerses you in a field that is driving our world forward.This course is designed to adapt to industry trends and needs, focused on cutting-edge technologies and real-world applications. Students will develop a comprehensive technical skillset alongside communication and critical thinking skills.Tailor your studies with a specialisation in artificial intelligence or cybersecurity while building a solid foundation in computer systems, programming, computer networks, cloud computing, databases, software engineering and project management.A 12-week industry placement forms a core part of this course, as well as integrated, globally recognised Microsoft certifications, enabling graduates to hit the ground running.Whether as a cybersecurity analyst, AI and machine learning engineer, software developer, network engineer, data analyst, IT consultant, IT trainer or educator, or technical support professional, the Bachelor of Information Technology is the beginning of what could be an amazing future.

With specialisations ranging from cybersecurity to UX, this IT course is current and relevant for students looking to work in IT. Choose real-life experience placements to gain the competitive edge. Secure a pathway to your future and shape the world.

As the availability of data increases and the cost of acquiring data decreases, organisations are increasingly able to pursue data-driven decisions. Business Analytics can be applied to leverage and interpret data from multiple sources to assist business professionals to make optimal decisions. This course is designed for those who want to pursue a role in Business Analytics as well as business professionals who want to improve the quality of decisions in their business areas. Students will be exposed to a range of relevant theory, knowledge and approaches to develop and enhance their conceptual and practical understanding of data analytics in business areas such as human resource management, marketing and supply chain management. Students will be given opportunities to work with a range of Business Analytics tools to identify patterns and trends in complex data sets, and to visualise them in meaningful ways.

Help businesses use data to drive strategy. You’ll gain knowledge in data analysis and visualisation to apply to your current or future analyst career. Focus your learning within the context of a business area, including logistics and marketing.

Graduate Certificate of Business Analytics

Torrens University&#39;s Master of Business Analytics teaches you to convert data into solutions. Gain practical knowledge in analytics and diversify your career with data-driven skills in key analytical areas such as artificial intelligence, data, optimisation, and visualisation and storytelling will be developed in this course.The unique course design also provides the ability to link into other study opportunities for further career development including a Master of Business Administration or Master of Business Information Systems. Our Business Analytics programs are endorsed by the global professional association International Institute of Business Analysis (IIBA). You&#39;ll also receive a 12-month membershipTailor your study to your lifestyle thanks to our innovative digital learning system, accessible from anywhere with 24/7 personalised support. With all your course materials online, and the option to study full or part time, on-campus, online or a blend of both it&#39;s all about flexibility.Course duration: 1.5 years full-time, part-time options available.

Become an in-demand expert in data and insights. You’ll expand your analytical skills, explore new technologies, and build on communication techniques. Deliver tailored business solutions. Endorsed by the International Institute of Business Analysis.

Master of Business Analytics

The Master of Financial Technology offers a qualification that provides advanced studies in modern technology with knowledge of the global financial market. The finance industry is becoming more information and data-driven. Businesses have greatly benefited from using advanced data analytics to improve their financial position.The program is designed for students, either with or without a background in IT or Finance, to enter a rapidly growing FinTech industry, which includes big data analytics, artificial intelligence, blockchain, programming and cybersecurity, while at the same time understanding how financial markets function.Students will be learning advanced Excel skills combined with the Python programming language, R Studio and Tableau to evaluate a large amount of financial data and assess different investment decisions across various market conditions.This program provides a unique opportunity to combine these skills in a unified degree, and graduates will comprehend specialised knowledge in the financial services organisation and the application of emerging technologies in the finance industry.The Master of Financial Technology has three different durations, depending on your previous studies:2 years: If you are interested in moving into the field and do not have a background in financial technology, you will complete the standard pathway (2 years) which includes a compulsory foundation component.1.5 years: If you have a prior related degree, you will be able to skip the foundation course component. You will focus on core financial technology courses and be able to choose a major in Data Analytics or Cyber Security.1 year: If you have a prior related degree and substantive work experience, you will focus on core financial technology courses and be able to choose a major in Data Analytics or Cyber Security.Griffith University offers a range of flexible delivery modes including on-campus and online.

Explore the latest technologies and business models that are changing financial services. Offering study pathways for graduates from IT, finance, and other backgrounds. Disrupt banking and finance. Advance the industry and stay relevant.

Master of Financial Technology

Data Analytics: Transform

This subject introduces students to the theory and practice of information design, displaying data with purpose to foster understanding and engagement. Using a variety of sources, students identify and collate quantitative and qualitative data before synthesising and analysing it with applied organisational methods. Using visualisation techniques, students bring the information to life by telling its story in graphic and/or interactive form that represents the data in an effective and compelling way.

Turn complex data into clear, engaging visuals that tell powerful stories. You’ll learn how to organise, analyse, and visualise data in ways that inform, inspire, and influence audiences.

Data Visualisation

In this subject, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making.You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through data sets relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.

Data and Analysis

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.

Data Analytics Concepts

This subject was previously known as The Search for Everything: data Analytics and Storytelling in the 21st Century.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. Summer also has a shorter duration (9 weeks).Data analytics is present in every moment of our lives. Data flows through smart phones, smart cars, smart fridges, streaming services, social media, loyalty programs, business operations, logistics, leisure and entertainment like a current shaping everything. At the heart of comprehensive data collection and analysis is a quest to understand ‘everything’, and this unit invites students into the multi-layered data-driven world where the real and the digital meet.MSP202 teaches students how to clean, manipulate, interpret, and transform data into creative visualisations using Microsoft Excel, to tell data-driven stories for invested stakeholders. Students examine the impact of data analytics in the context of public and private life; professional, political, and societal domains; and the reach of data across local, national, and global contexts. In hand with foundational data skills, this unit explores ethical issues relating to data surveillance, the implications of data mining on human behaviour, and the analytics machines central to the functioning of big tech platforms such as Google, Amazon, and Facebook.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

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

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.Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Industry, Innovation and Infrastructure.

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.

Scientific Computing

This subject helps the student evaluate data-based evidence encountered in everyday life. It provides the fundamental numeracy skills required by business people, scientists, lawyers, nurses, journalists, social scientists, teachers and other professionals who need to evaluate data-based arguments, whether found in newspapers, television or on-line websites. This is achieved by a combination of studying newsworthy topics introduced in lectures, laboratory classes which encourage engagement with others and on-line quizzes that assess numeracy skills. The four themes covered in this subject are gathering useful data, turning data into information, probability and from data to decision making.

Data-Based Critical Thinking

In this subject you will learn about three key areas of data analytics in cyber security. Using a series of tools to develop your cyber security analytical tool kit, you will begin by conducting basic data analysis using Excel and build an analytical dashboard in Excel which will allow you to dynamically update the dashboard based on the dataset entered. With these skills you will then transition to network data analytics for threat hunting and incident response, culminating in an assessment on post-infection threat analysis. Finally, you will undertake active network monitoring and analysis using cutting edge industry tools, that will form your final assessment. The progression of practical skill development in this subject will add progressive complexity to your understanding of data analytics scoped to cyber security and align with a Security Operations Centre (SOC) analyst&#39;s role.

Learn how to collect, analyse, and present data for cybersecurity. You’ll explore analytical techniques and tools that identify patterns, anomalies, and potential security breaches. Harness the power of data to protect organisations from cyber threats. 

Data Analytics for Cyber Security

In this subject you will focus on the evaluation of quantitative information, in both everyday and academic situations. This subject will introduce you to research methodologies and frameworks to assess the reliability of online data sources. You will learn how to analyse and interpret numerical data and critically evaluate standard presentation methods, including column charts, line graphs, histograms, boxplots, scatterplots, and pie charts. You will also learn how to make informed decisions based on quantitative evidence and communicate your conclusions in a formal report style.

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