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Graduate Certificate in Business Analytics

Gain the skills required to generate and communicate actionable insights from data

  • Overview
  • Program structure
  • Entry requirements
  • How to apply
  • Student experience
  • FAQs

The Graduate Certificate in Business Analytics, UNSW Sydney, introduces students to conceptual frameworks, modelling techniques, database management and ethical debates to provide a holistic view of business analytics.

In less than a year, graduates gain the skills required to generate and communicate actionable insights from data, to underpin their future career success.

Why choose this graduate certificate?

No need to have completed a bachelor’s degree- the Graduate Certificate in Business Analytics is designed for professionals who are looking to upskill in business analytics and technical database management skills.

Subject to meeting entry requirements, successfully completed courses from the graduate certificate are transferrable to the Master of commerce.

The skills and insights gained from your Graduate Certificate in Business Analytics can have an immediate positive effect on your career. Your education is shaped by industry leaders and world class academics – experts who recognise the future will present career opportunities that don’t exist today - and your potential professional network extends to more than 90,000 Business School alumni worldwide.

Who is this degree for?

  • Professionals with more than 5 years of work experience but no bachelor’s degree
  • Those interested in developing capabilities in Business Analytics
  • Those seeking a pathway to a postgraduate qualification in Business

Job and career prospects

Business Analytics graduates are in high demand, and they have been successful in securing jobs such as:

  • Business Analyst
  • Business Analytics Professional
  • IS/IT Consultants
  • Management Consultant
  • Systems Analyst

Why the Business School?

UNSW Business School is a leading business school in the Asia-Pacific, with our subjects consistently ranking within the top 50 worldwide. Within Australia we rank 1st for Accounting and Finance, and 2nd for Business and Management studies. Worldwide, these subjects rank within the Top 50 along with Economics and Econometrics, and Computer Science and Information Systems. Read more about our rankings and reputation.

The Business School offers students a suite of professional development opportunities with Career Accelerator. With Career Accelerator you can build industry connections through networking and mentoring, and you can undertake internships and global business practicums for credit towards your degree.

Core Courses

Students must take 12 UOC of the following courses:

INFS5700 Introduction to Business Analytics

Business Analytics can be defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions (Davenport et al. 2010). Organizations recognize the need to learn more about business analytics as high quality information about their capabilities and those of their competition is essential for effective decision making to be competitive and generate value.

This course presents the fundamentals of implementing and managing business analytics in organizations including: decision making; business analytics concepts and frameworks; technologies and tools required for descriptive analytics, predictive analytics, and prescriptive analytics; frameworks for putting analytics to work; technologies and tools required for business analytics; the governance, oversight and business value gained from business analytics within organizations; ethical and social implications of business analytics; future directions for business analytics.

SAS software tools will be used for the skills components of the course: “Applied Analytics Using SAS Enterprise Miner”.

INFS5720 Business Analytics Methods

Today’s organisations operate on a global scale and collect huge volumes of data from multiple sources. Management recognises the need to learn how to gather and manage strategic data, transform it into new insights, and translate those insights into effective front-line action in order to have a better understanding of business performance and gain competitive advantage.

This course will provide students with advanced business analytics methods including predictive analytics and Visual analytics. Both meaningful hands-on experience and case studies describing organisational experiences with business analytics are included. The course has a technical component in which students gain practical knowledge and skills in data mining and visual analytics.

SAS software tools will be used for the skills components of the course: “Customer Segmentation Using SAS Enterprise Miner” and “SAS Visual Analytics: Getting Started”

Prescribed Electives:

Students must take 12 UOC of the following courses:

COMM5005 Quantitative Methods for Business

This course provides an introduction to the mathematical and statistical tools required in a business degree. There is an emphasis on problem solving by both manual and computer methods. The first half of the course focuses on algebra and graphs, financial mathematics and optimisation methods including linear programming and calculus. The second half of the course focuses on developing quantitative data analysis skills through probability, descriptive statistics, inferential statistics and linear regression (simple and multiple regression using cross sectional data).

COMM5011 Data Analysis for Business

​This course provides an introduction to basic analytical skills. It provides a solid basis from which data analysis techniques and tools can be applied to solve business problems. There is an emphasis on problem solving and business analytics by both manual and digital methods. The first half of the course will focus on the use of quantitative methods and techniques. The second half of the course will focus on the use of qualitative research methods and techniques.

COMM5615 Systems Thinking and Business Dynamics

This course introduces leading edge systems thinking tools to enhance your ability to diagnose and solve complex business and societal problems. You will learn a flexible and powerful approach to structuring managerial problems and visualising the interconnectedness of business, social and environmental systems. You will develop skills to conceptualise and build simulation models of an enterprise, enabling you to explore the dynamic consequences of different strategy/policy decisions and identify key leverage points in the system. You will also discover how to elicit team knowledge to achieve a shared mental model among managers and/or policy makers, converting a simulation model into a Management Gaming Simulator. In the course, students explore a broad application of business and public policy issues including firm growth and stagnation, competitive strategy, capability development and human resource policies, and the boom and bust dynamics of start-up enterprises. Industries discussed include international oil production, passenger airlines, real estate, global wine wars, cyclical commodity markets, and also examples from public policy and social enterprises. In addition, students examine cases of organisations that have successfully applied systems thinking and business dynamics.

ECON5248 Business Forecasting

This course covers the practical use of econometric and statistical techniques applied in the business world. Building and evaluating long term forecasting models based on econometric techniques using  time series data will be the focus of this course. Understanding these issues will allow students to formulate and use the reliable forecasting models based on sound economic principles.

INFS5710 Information Technology Infrastructure for Business Analytics

Performing business analytics functions on huge volumes of data generated from various day-to-day operations requires a solid understanding of how data captured at the operational level can be re-structured and used at the enterprise level to gain maximum effective results.

This course will provide students with data management knowledge in both operational and analytical database systems and infrastructure aspects, including theoretical foundations as well as meaningful hands-on experience. Examples include: standard relational database issues; analytical database topics; requirements imposed by the move to big data; business analytics infrastructure and tools used with big data.

SAS software tools will be used for the skills components of the course: “SAS SQL 1: Essentials” and “Introduction to SAS and Hadoop”

INFS5730 Social Media and Enterprise 2.0

Businesses are confronted with a world in which customers are increasingly using social media/technologies as central means of communication, collaboration, social exchange, and navigation of the Internet. This course develops the ability to use social technologies in business contexts. This course aims to enable students to analyse and develop strategies related to the use of social technologies within businesses and the use of social media as for external relations (especially with customers). Furthermore, the course introduces students to the underlying theoretical concepts of social media as well as hands-on experience with current social technologies relevant for business.

The teaching includes working on several real-life cases and employs a range of social technologies. On successful completion of the course, students are expected be able to demonstrate both a professional perspective as well as technological confidence regarding social media and their business use.

SAS software tools will be used for the skills components of the course: “Text Analytics Using SAS Text Miner”

MARK5822 Marketing Analytics in a Big Data World

There is an increasing need for the use of data analysis that can deal with large and fast flowing data. The focus of the new course will be on learning techniques that will allow marketing managers to provide insights into consumer decision making utilising market-basket analysis, optimisation techniques, social media analysis and web-analytics.

RISK5002 Risk Tools

The course reviews key concepts of statistics and looks at a number of data sources used to analyse risks in various disciplines. Applications such as forecasting, modelling extreme events and dependencies are illustrated through their implementation in a number of practical problems. These are aimed at making students aware of the power of statistics in quantitative risk analysis, and its areas of applicability. Traditional risk measures and models routinely used to analyse financial, insurance, environmental, health and safety, engineering reliability and security risks data are reviewed. Emphasis is placed on the use of these tools in practical applications, which is achieved through the presentation of real-life examples. Simulation is discussed as a tool to analyse risks in complex systems, where data is not available.

RISK5003 Risk Decisions

This course aims to introduce students to the field of decision analysis. At the end of the course students should be able to develop solutions to basic decision problems involving uncertainty, using specialised, free-ware software. An intuitive exposition into Bayes’ theorem is given through a number of simple-to-follow problems involving information update in light of new evidence, to show the importance of this theorem in making decisions about risk. Students learn about subjective probabilities and various formal methods of expert opinion elicitation. Two specific decision tools - Bayesian networks and Multi-criteria Decision Analysis (MCDA), are examined in detail.

Bayesian networks, which display graphically the interrelationships between variables, allow for their dependencies to be accounted for in a manner reflecting their causal relationships. This permits the evaluation of predicted consequences associated with different interventions, before these are actually implemented. MCDA allows decisions to be made when the decision-maker is faced with multiple and conflicting objectives where trade-offs must be made, which is most often the case in the real world. Netica and SuperDecisions are free-ware software implementing Bayesian networks and MCDA, respectively, which students will use during the course to solve decision problems from a range of application fields.

Finally the course will discuss current issues in behavioural risk management and the value of first-line employees’ experience, such as their ability to identify ‘early warnings’ about risk, and what an organisation can do to encourage such employees to speak up without the fear of retribution. The aim is to demonstrate the benefits of front-line employees taking charge of local risk management issues and the importance role risk culture plays in allowing this to occur.

A recognised undergraduate degree (or equivalent qualification), as determined by UNSW Business School with an average grade of 60% or greater.


5 years relevant work experience: for example, clerical or administrative work in a commercial or public service organisation, supervisory or management, banking, finance or marketing experience or other business-related positions.

Application requires detailed resume (outlining competencies and achievements).

International students are also required to satisfy the UNSW Business School English Language requirement of IELTS 7.0 overall (minimum 6.5 in each subtest) or equivalent test.

Application checklist

Before you apply, ensure that you:

  1. Choose the right program that matches your interests and career aspirations
  2. Meet the entry requirements of the program
  3. Note: You can apply for credits during the online application process

  4. Have the various supporting documentation for your application. E.g.

   a. Official academic transcripts
   b. Proof of completion of qualification
   c. Proof of identity and citizenship
   d. Proof of relevant work experience (if required)

    You can upload the above documentation during the online application process

How to apply

You can apply for this program online:

There are three intakes per year:

  • Term 1 (February): 30 November
  • Term 3 (September): 31 July

*Please note that not all programs have a Term 2 intake.

Late applications may be accepted after the closing dates subject to the availability of places.

Need help?

Still need help finding the right postgraduate business program for you? Contact us now.

UNSW Business School students are Australia’s best and brightest, with a reputation for drive and innovation. Our graduates have exceptional employability rates, performing well above the national average. In the 2018 QILT survey, 93% of our postgraduate students were employed full-time within four months of graduating and were earning a median wage of $120k.

Our degrees include up to two for-credit industry experiences, such as internships or global business practicums. The experiences are part of a suite of opportunities that is exclusive to UNSW’s Business School students and organised through Career Accelerator. The professional development opportunities complement your studies, build connections to industry and give you a clear advantage after graduation.

The opportunities are grouped within the Networking, Mentoring, Internships, and Global sections of Career Accelerator.


The people you meet during your time at university can play a profound role in positively shaping your career. Connect with like-minded and influential people through:

  • Industry Insights – workshop sessions delivered by industry partners
  • Industry Events – invitation-only events hosted by industry partners
  • Business Case Competitions – impress future employers with your problem-solving skills


Participating in a mentoring program will boost your confidence, help grow your professional network, develop your communication, teamwork and leadership skills as well as building upon your business acumen.

  • Career Mentoring Program – a 10-week program of career mentoring and coaching
  • Australian Business Essentials – mentoring for international students with no previous Australian work experience


UNSW Business School’s for-credit and not-for-credit opportunities such as traditional internships, consultancy projects, social entrepreneurship practicums, virtual internships and extra-curricular experiences.

  • Internships & Consulting Projects – for-credit projects available in person and online
  • Social Entrepreneurship Practicum – for-credit practicum to develop professional team skills in a real project
  • Business Experience – online and in-person projects for professional development


The personal and professional benefits of living, studying or working in a different culture are immense and recognised by employers.

  • Global Business Practicum - work in small cross-disciplinary student consulting team on a genuine business issue, usually in Asia
  • Social Entrepreneurship Practicum - build entrepreneurial, workplace and leadership capabilities in Bali
  • Student Exchange – live and study overseas at one of our 200 partner universities

View the full suite of Career Accelerator opportunities.

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Quick facts for students

Program code
Graduate Certificate
Total Units of Credit (UOC)
Study Mode
Face to face
0.7 years full-time, 1.2 years part-time
Commencing terms
Term 1, Term 2 & Term 3
Course fee*
Program fee (total)*
* Fees are indicative only

​​​​​​​Area of Study

Browse the list of study areas available for postgraduate study


​​​​​​​​​​​​​​​​​Search Degrees​​

Find a degree, course or interest