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

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)

Data Analytics Concepts

Business Intelligence

Strategic Financial Analysis

Data Analysis for Business

Analytics for Decision Making

HR Analytics

Disruption in Business

Marketing Analytics

Digital Economy and Analysis

Predictive Analytics

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

AI and Big Data are popular buzzwords that are generating significant interest by businesses in today’s digital world. Business managers are increasingly investing in these technologies with the hope that automation and access to more data can lead to cost savings, create new business opportunities and sustain competitive advantages. This subject seeks to demystify AI and Big Data for business managers and to engender critical reflection on the unintended consequences and ethical issues for businesses associated with the introduction of these emerging technologies.

Artificial Intelligence and Big Data Applications for Business

This subject provides students with the fundamental and advanced concepts, tools and skills needed to understand the emerging role of business analytics and operations research in organizations. Emphasis would be given to problems in maritime logistics and transport, retailing and procurement. It allows students to understand and apply advanced business analytics tools in a computer-intensive environment and to communicate with analytics professionals to effectively use and interpret analytical models and results for better decision making. There is a descriptive, predictive and prescriptive approaches offered in the subject. Along with this, it discusses the fundamentals and advances of operations research as a discipline area related to simulations and decision-making processes using intelligent methods.

Business Analytics and Operations Research

Marketing decision-making is growing in importance in the business world. More than ever before, organisations are placing greater emphasis on the marketers&#39; ability to evaluate, anticipate, and illustrate the contribution of marketing to organisational performance. Increasingly, senior managers are requiring greater rigour and accountability for investments in marketing activities. Within marketing, there is a realisation that practitioners need to be able to justify their strategies, tactics and the associated outcomes, using relevant metrics. Marketing analytics seeks to build a link between the marketing activity of the organisation and the outcomes that result from it.The focus of this subject is on developing, analysing, and evaluating appropriate models to measure the performance of marketing activities. It will develop students&#39; knowledge of key strategic and technical decision-making models and metrics that form the foundation of marketing analytics. Students will gain knowledge and skills to predict the outcome of marketing plans in order to boost return on marketing investment.

Marketing Insights into Big Data

TAS-BEA140 Data Analysis for Business is a foundation unit in business statistics and the mathematics of finance, and is a core subject in the Bachelor of Economics and Bachelor of Business degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.This subject is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The subject also includes an introduction to the basic use of tools such as Excel as an aid to analysis and presentation. The focus of the subject is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.The subject is an introduction to the exciting world of applying mathematics and statistics to business problems. By studying a variety of examples based on real world problems, the subject highlights the application of quantitative methodologies to assist managers and decision makers in dimensioning and communicating risks and opportunities.

A business statistics course that covers the mathematics of finance. You’ll learn about the statistical process and get hands on with basic tools. Use data practically to solve real-world problems in economics and business.

University of Tasmania Business analysis Courses & Degrees | Open Universities Australia

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