Bachelor of Analytics

Analytics is an established quantitative field within both industry and higher education.

With exponential growth in available data, the analytics discipline has emerged as a key field requiring the skilled analyst.

This program provides you with complementary skills in analytics, tapping into studies in statistics, operations research, computer science, information technologies, business, economics, finance and marketing.

Combining the expertise of several schools across the College of Science, Engineering and Health and the College of Business, the Bachelor of Analytics prepares you for statistical analysis in the business world.

The flexibility of the program, allowing you to choose from a diverse range of electives, combined with a core of statistics and operations research, will enable you to specialise in the areas that will assist you in the future.

A strong focus of the program is consulting and work-integrated learning.

MATH2302 Analytics in Industry 1 and MATH2303 Analytics in Industry 2 serve as a year-long capstone experience combining work-integrated learning with applied research bringing all your learning together in a summative and practical way.

This assists you through exposure to industry projects and problems that provide you with hands on examples for the development of your analytic capabilities.

With data-driven decisions now a fundamental part of business operations, this program provides you with the platform to be a business-ready problem solver.

This program is delivered on campus;

some courses may be available online.

Year One of Program

Complete the following Eight (8) Courses:

AND

Year Two of Program

Complete the following Six (6) Courses:

Select and Complete One (1) Course from any:

Select and Complete One (1) Course from the Business Options or Data Science Options listed at the end of the program structure.

AND

Year Three of Program

Complete the following Four (4) Courses:

Select and Complete Two (2) Courses from the Analytics Options listed at the end of the program structure.

Select and Complete One (1) Course from the Business Options or Data Science Options listed at the end of the program structure.

Select and Complete One (1) Course from any:

AND

List of Options:

Analytics Options List:

Data Science Options List:

Business Options List:

Program entry requirements

Successful completion of an Australian Year 12 senior secondary certificate of education or equivalent.

For information on international qualifications and corresponding entry requirements that are equivalent to Australian academic entry requirements, see the Country equivalents web page.

Prerequisites

Victorian Certificate of Education (VCE) prerequisite units 3 and 4 — a study score of at least 20 in one of Mathematical Methods (CAS) or Specialist Mathematics; and a study score of at least 30 in English (EAL) or at least 25 in any other English.

English language requirements

A minimum IELTS (Academic module) overall score of 6.5, with no band below 6.0; or equivalent.

For equivalents to English entry requirements, see the English equivalents web page.

This program has a student-focused approach that aims at developing superior skill levels in the use of statistics and operations research in solving real world problems arising in industry, research and the business environments. This is achieved by the use of contemporary statistical software accompanied by an in-depth understanding of the statistical processes involved and how these processes impact in a variety of environments. By completing this program, you will be particularly knowledgeable, creative and critical in your approach to interpreting and analysing data. You will also be equipped with the ability to apply knowledge acquired to solve a wide range of real world problems.

The following are the key learning outcomes developed in the program which will make you, as a graduate, relevant to current industry and business requirements:

Personal and professional awareness

• the ability to contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions
• the ability to reflect on experience and improve your own future practice
• the ability to apply the principles of lifelong learning to any new challenge.

Knowledge and technical competence

• an understanding of appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.

Problem-solving

• the ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
• an understanding of the balance between the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.

Teamwork and project management

• the ability to contribute to professional work settings through effective participation in teams and organisation of project tasks
• the ability to constructively engage with other team members and resolve conflict.

Communication

• the ability to effectively communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral) and to tailor the style and means of communication to different audiences. Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.

Information literacy

• the ability to locate and use data and information and evaluate its quality with respect to its authority and relevance.

Ethics

• develop the cognitive skills to review critically, analyse, consolidate and synthesise knowledge to identify and provide solutions to complex problems with intellectual independence.
• use initiative and judgement in planning, problem solving and decision making in professional practice and/or scholarship.
• take responsibility and accountability for own learning and professional practice and in collaborations with others within broad parameters.