Get the comprehensive training you need to take on any business analytics role with a Masters in Business Analytics online. General analytics, business analytics and marketing specialisations are available.
A great business analyst has technical skills but also the business insights and strategies to shape decision making. You can add all these tools to your game with a Masters in Business Analytics online. The 12-subject program covers topics such as data processing, machine learning, data visualisation, and customer and marketing analytics.
A Masters in Analytics is a versatile course that prepares you for roles at both the data-crunching and client-facing stages of the business analytics process.
Foundational data analytics training is complemented with applied problem solving and business reporting in this course. Topics include introductory data analysis, big data management, financial modelling, decision making in analytics, and business analytics and consulting.
Compete for the most sought-after jobs with the skills and credentials you gain from this 12-subject online program from Australia... READ MORE
Masters in Business Analytics
Leave recruiters in no doubt about your capabilities by completing Masters in Business Analytics online with a leading Australian university. You'll learn a combination of data wrangling skills and techniques for generating and presenting business insights. The master's program is suitable for technology experts as well as business professionals with an aptitude for analytics.
UTS Online Master of Business Analytics
In a world dominated by data, the UTS Online Master of Business Analytics positions you for career success. Delivered 100% online, this course is designed for professionals who want to build their business acumen and data skills to meet the growing industry demand. You’ll upgrade your skills and knowledge in data, and learn to identify, design and facilitate data-driven solutions that influence organisational change. Informed and taught through the UTS Business School, which is AACSB accredited, you’ll be learning from academics at the forefront of business analytics.
Masters in Marketing Analytics
Everyone in marketing knows the important of analytics. Simple things such as understanding your customers or running an effective campaign benefit from data insights. A Masters in Marketing Analytics positions you to be one of the most in-demand professionals or managers in the industry.
Master of Analytics (Marketing) at UNSW Online
The Master of Analytics (Marketing) from UNSW is a program for marketers who want to excel at analysis. Marketing effectiveness can be greatly improved by the skilled handling of data such as campaign statistics, customer information and social media data. This 12-subject course gives you the tools to be an in-demand, high-value analyst and strategist. The program is ideal for full-time workers, with subjects delivered one at a time in 7-week teaching blocks. Topics include marketing analytics foundations, programming principles, customer analytics, social media analytics, and big data.
What You'll Study (Course Structure)
What you study in a Masters of Business Analytics depends on the program and electives you choose. The curriculum may look very different if you're interested in programming and data analytics versus a program orientated towards business decision-making. The standard length of a masters is 12 subjects.
To give you an idea of what you could study, here are example subjects from two online degrees.
Business analytics is about using data, quantitative analysis, predictive models and fact-based management to create value. The leaders of tomorrow must know the tools for making evidence-based decisions. In this subject, you are introduced to techniques and methods for solving practical problems. Students gain the necessary knowledge to conduct small-scale business analytics projects and professionally communicate findings.
Students learn basic database design and implementation concepts, along with database design techniques. You find out how to access a database via structured query language (SQL) to retrieve data. The course also covers the code needed to create and use a database.
Raw data are often incomplete, unstructured and inconsistent. This course looks at how SAS can transform a raw dataset into valuable information. SAS is the market-leading software for analytics. Students learn the fundamentals required for the SAS certification Base Programming Specialist, with an emphasis on data validation and manipulation. Data validation is the process of converting raw data into quality data by addressing issues such as missing values. Data manipulation, using methods such as coding, makes data easier to read and analyse. Finally, you learn how to use statistical tools to extract valuable information from real datasets.
This course shows students uses of information systems to generate business value. The subject explores enterprise information requirements, applying information systems to business problems, and new technologies in the marketplace. The focus is on organisational strategies for information systems, mobile, cloud and social computing, as well as design activities and working in design teams.
Gain a solid financial accounting and management accounting grounding. Students explore the financial opportunities and challenges inherent in any business endeavour. You will better understand how initiatives fit within the broad strategies and objectives of an organisation. Such an understanding helps you to make vital cost-benefit trade-offs.
Learn to understand the customer and the value they add to an enterprise as well as how an enterprise can benefit a customer. The course introduces theories and techniques of marketing analytics. Students explore the role of digital and social marketing for generating customer value. The subject also introduces students to customer analytics and segmentation methods to establish a customer’s lifetime value to an enterprise. Learning is reinforced by using actual marketplace data and analytics to estimate the effects of an enterprise marketing effort.
All managers need some understanding of financial management concepts, capital markets and instruments, as well as trade-offs between financial risk versus gain. This subject covers the latest tools and techniques in financial management. The main goal is to prepare students for responsible and sustainable leadership from a financial management perspective. We develop a framework around financial analysis and modelling, as well as business, risk, and investment evaluation. Emphasis is placed on applying tools and techniques to real world problems in financial management.
We examine the core data visualisation and visual interaction (or navigation) technologies that support the visual analytics and decision-making processes. Students explore cutting-edge data visualisation and visual analysis software. You will gain an essential understanding of the procedure (loop) and the methodology of visual data analytics. Graduates of the subject are capable of designing and evaluating visualisation interfaces that can be directly applied into the loop of visual data mining or visual analytics. You are equipped to become data visualisation designers and visual data analysts.
A foundation for business analytics is to understand different ways data can be presented and treated. In this subject, you learn how quantitative and qualitative data can be categorised and examined. You gain a platform for applying data analysis methods to support business decisions with sound evidence. Students explore applied applications of statistical techniques and qualitative data analysis.
Business analytics has grown to become a key element of modern business practice. The field is about using data to support decision making. In this subject, you learn the fundamentals of applying and managing business analytics within an organisation.
Understanding consumers and building up a relationship with customers is the foundation of effective marketing. You need to know how to identify what target customers need, where they shop and how to interact with them in the marketplace. This subject integrates customer relationship management (CRM) and big data analytics. Applications include attracting new consumers, retaining customers, encouraging referrals and re-inviting infrequent or lost customers. Methods include prediction, recommendation, and natural language processing. Students will do hands-on data analytics and tackle real-world customer problems. Prior knowledge of R is not required.
In this subject, students learn about the roles of people in data analytics and how the discipline can be applied to manage people and change. Elements include stakeholder management, considerations of power and influence, and how to work in cross-function teams. Students explore how data analytics drives and supports organisational change. You also develop skills to design and apply organisational change processes.
The subject introduces programming in Python, covering:
- Program design and doing in high-level language, including procedural and object-oriented constructs and functional elements;
- Basic programming methods, data structures and algorithms;
- Code debugging and testing;
- Simulations;
- Applications in varied areas, including with graphical user interfaces and animation.
Data analytics allows you to make predictions to support decision making. Predictive analytics involves statistical models and machine learning methods. The subject introduces students to predictive analytics techniques, developing your capacity to influence decision making. To build skills, you learn predictive analytics theory (such as linear and logistic regression, and neural networks). As part of the course, you build and interpret predictive models. Emphasis is given to sound predictive analytics to create value.
Fundamental concepts and technologies for managing big data and introduced in this course. Topics include: big data characteristics and analytics storage systems; big data manipulation methods (such as MapReduce, streaming and compression); programming languages (Spark, PigLatin, etc.); query languages (Jaql, Hive); database systems (noSQL systems, HBase), and common applications (such as recommender systems, dimensionality reduction and text analysis).
Data visualisation and communication are vital complements to data analytics. Giving visual access to data patterns is a core skill for any data analyst. Easily understood visual graphics is a simple, powerful way to communicate business insights obtained from data. Students examine statistical and visual tools for exploratory data analysis. You also learn what's required for data visualisation to work and become interactive.
Learning Outcomes
A Masters in Business Analytics can be a quite comprehensive program that allows you to start working as a business analyst immediately. You're expected to continue with self-directed learning after graduating, to strengthen your skills in certain areas to meet work demands. But a good program will provide you with essential business analysis tools to extract insights from data.
Learning outcomes include that you're able to:
- source and analyse data and generate insights using the latest tools and techniques available
- perform predictive analytics using methods such as linear and logistic regression
- take complex information and translate it into compelling, visual data stories that influence stakeholders.
Career Opportunities
Graduates with a Masters in Business Analytics are highly employable. Whether you favour technical roles or are most interested in business strategy and communication, this degree makes you highly qualified for almost any business analyst job.
Prospective job titles include junior business analyst, business analyst, senior business analyst, data analyst, consumer analyst, market analyst, business development manager, business analytics consultant, people analytics consultant, and digital marketing analyst.
Where could you work? Almost anywhere. Organisations across every industry and sector find value in business analytics, whether they employee analysts in-house or hire consultancy services.
Entry Requirements
Entry requirements for Masters of Business Analytics vary by university. A relevant degree with strong grades is generally a sufficient qualification. More relaxed entry pathways are available by enrolling in a Graduate Certificate in Business Analytics.
Here are examples of program admission requirements. Enquire for further details.
Direct masters admission: To be eligible for the Master of Analytics program, you need a bachelor degree (or equivalent qualification) with a credit average of 65% or higher according to the UNSW Admissions entry calculator.
Entry via graduate certificate: Articulation pathways from the Graduate Certificate program exist if you finish with a WAM of 65+. The graduate certificate is accessible by degree holders and professionals without a degree who have 3+ years of relevant experience.
More informationDirect master's admission: A bachelor's degree in a related field in business or IT disciplines which demonstrates the ability to pursue graduate studies.
Entry via graduate certificate: Applicants with four years, or equivalent, relevant work experience and a general capacity for tertiary education are able to access the master's program by enrolling in a Graduate Certificate in Business Analytics.
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