C10384v1 Bachelor of Science in Analytics
Award(s): Bachelor of Science in Analytics (BSc)UAC code: 607080 (Autumn session, Spring session)
CRICOS code: 088438J
Commonwealth supported place?: Yes
Load credit points: 144
Course EFTSL: 3
Location: City campus
Overview
Career options
Course intended learning outcomes
Admission requirements
Pathway course
Assumed knowledge
Course duration and attendance
Course structure
Course completion requirements
Course diagram
Course program
Honours
Other information
Overview
The Bachelor of Science in Analytics focuses on the analytical skills and technical knowledge that underpin the sophisticated data analysis tools on which key aspects of business activity rely. These tools enable industry to capitalise on big data by gaining insights through expert interpretation of results of statistical and other quantitative analyses. In this course students study key areas of business activity and develop a broad range of mathematical, statistical, computational and data management skills, as well as experience in the use of the information technology required for modern data analysis.
Business and other organisations require skills that provide competitive advantage in today's dynamic marketplace. Innovation in industry depends on the ability to quickly test ideas and strategies against evidence. This evidence is often embedded in a firm's big data, and decision-making is driven by the application of predictive modelling and optimisation strategies to this data. Data science and analytics are keys to success in knowledge-based industries and in delivering high-value data products. This program equips students to practise as data science and analytics professionals, developing information technology skills, expertise in statistics and mathematics, and familiarity with key areas of business and policy development.
Career options
Career options include positions in business intelligence, data science, business analytics, consumer analytics, marketing research, logistics management, financial and credit risk management, stock market analysis, portfolio management, option pricing, international money market analyst. Major employers include media and marketing companies, banks, insurance companies, superannuation providers, prominent consulting firms, government bodies such as APRA and ASIC, and other major financial bodies.
Course intended learning outcomes
| 1.1 | Apply: Develop theoretical and technical knowledge in an area of the mathematical sciences, incorporating deductive reasoning to solve complex problems. |
| 1.2 | Analyse: Examine the principles and concepts of a range of fundamental areas in the mathematical sciences (calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management). |
| 1.3 | Synthesise: Integrate knowledge of at least one sub-discipline of the Mathematical Sciences providing a pathway for further learning and research. |
| 2.1 | Apply: Develop research skills and an ability to find mathematical solutions to outstanding problems, with a critical evaluation and analysis of the obtained results. |
| 2.2 | Analyse: Make arguments based on proof and conduct simulations based on selection of approaches (e.g. analytic vs numerical/experimental, different statistical tests, different heuristic algorithms) and various sources of data and knowledge. |
| 2.3 | Synthesise: Apply existing strategies to new problems, and evaluate and transform information to complete a range of activities. |
| 3.1 | Apply: Ability to work effectively and responsibly in an individual or team context. |
| 3.2 | Analyse: Demonstrate professional and responsible analysis of real-life problems that require application of mathematics and statistics and analysis of data. |
| 3.3 | Synthesise: Ethical application of mathematical and statistical approaches to problem-solving and decision-making. |
| 4.1 | Apply: Demonstrate self-reflection, and individual and independent learning strategies to extend existing knowledge. |
| 4.2 | Analyse: Information retrieval and consolidation skills applied to the critical evaluation of the mathematical/statistical aspects of information to think creatively and try different approaches to solving problems. |
| 4.3 | Synthesise: Test critical thinking skills to appraise solutions for contemporary mathematical sciences problems. |
| 5.1 | Apply: Succinct and accurate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert). |
| 5.2 | Analyse: Demonstrate research approaches to clarify a problem or to obtain the information required to develop mathematical solutions. |
| 5.3 | Synthesise: Integrate written and verbal instructions or problem statements to describe a significant piece of work and its importance, and place the work in the context of other scholarly research. |
| 6.1 | Apply: Demonstrate an appreciation of historical and contemporary Aboriginal and Torres Strait Islander Knowledges relevant to mathematics. |
| 6.2 | Analyse: Develop cultural awareness for ethical and respectful practices, and when developing community relations. |
| 6.3 | Synthesise: Integrate Aboriginal and Torres Strait Islander knowledges, as both experience and analysis, into professional practice. |
Admission requirements
Applicants must have completed an Australian Year 12 qualification, Australian Qualifications Framework Diploma, or equivalent Australian or overseas qualification at the required level.
The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.
Eligibility for admission does not guarantee offer of a place.
International students
Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
Pathway course
Successful completion of the Insearch:
- Diploma of Science guarantees entry into the course with recognition of prior learning
- Diploma of Engineering with the required WAM of 70 without any failure guarantees entry into this course with recognition of prior learning.
Assumed knowledge
Mathematics, any two units of English.
Mathematics Extension 1 is recommended.
Course duration and attendance
The degree is offered full time over three years or part time over six years.
Course structure
This course comprises 144 credit points of study made up of 72 credit points of core subjects, a 48-credit-point major, and either a 24-credit-point sub-major or 24 credit points of electives.
Course completion requirements
| STM91131 Quantitative Analytics stream | 48cp | |
| STM91132 Data Analytics stream | 24cp | |
| CBK91153 Major choice | 48cp | |
| CBK91154 Electives/sub-major choice | 24cp | |
| Total | 144cp |
Course diagram
Course program
Typical course programs are shown below.
| Consumer Analytics major, Consumer Analytics Extension sub-major | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 24108 Marketing Foundations | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 24202 Consumer Behaviour | 6cp | |
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| Spring session | ||
| 24309 Marketing Research | 6cp | |
| 37253 Sample Surveys | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 24220 International Marketing | 6cp | |
| 24222 Marketing Channels | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| 37181 Discrete Mathematics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Spring session | ||
| 37357 Advanced Statistical Modelling | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 24220 International Marketing | 6cp | |
| 24222 Marketing Channels | 6cp | |
| 24331 Marketing Analytics and Decisions | 6cp | |
| 24415 Marketing Planning and Strategy | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Consumer Analytics major, all other sub-majors | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 24108 Marketing Foundations | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 24202 Consumer Behaviour | 6cp | |
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| Spring session | ||
| Select 24 credit points from the following: | 24cp | |
| CBK90232 Electives (Science UG) | 24cp | |
| SMJ10082 Operations Analysis | 24cp | |
| SMJ10083 Risk Management | 24cp | |
| SMJ10084 Financial Mathematics | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 24309 Marketing Research | 6cp | |
| 31250 Introduction to Data Analytics | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Spring session | ||
| 37253 Sample Surveys | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Operations Analysis major, Operations Analysis Extension sub-major | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 21129 Managing People and Organisations | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 21510 Introduction to Strategy | 6cp | |
| 21511 Global Operations and Supply Chain Management | 6cp | |
| 21512 Understanding Organisations: Theory and Practice | 6cp | |
| Spring session | ||
| Select 12 credit points from the following: | 12cp | |
| 21510 Introduction to Strategy | 6cp | |
| 21511 Global Operations and Supply Chain Management | 6cp | |
| 21512 Understanding Organisations: Theory and Practice | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37181 Discrete Mathematics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37181 Discrete Mathematics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Spring session | ||
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Operations Analysis major, all other sub-majors | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 21129 Managing People and Organisations | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 21510 Introduction to Strategy | 6cp | |
| 21511 Global Operations and Supply Chain Management | 6cp | |
| 21512 Understanding Organisations: Theory and Practice | 6cp | |
| Spring session | ||
| Select 24 credit points from the following: | 24cp | |
| CBK90232 Electives (Science UG) | 24cp | |
| SMJ10081 Consumer Analytics | 24cp | |
| SMJ10083 Risk Management | 24cp | |
| SMJ10084 Financial Mathematics | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Spring session | ||
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Risk Management major, Risk Management Extension sub-major | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 25300 Fundamentals of Business Finance | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 25556 The Financial System | 6cp | |
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Spring session | ||
| 37253 Sample Surveys | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| 25503 Investment Analysis | 6cp | |
| 25557 Corporate Finance: Theory and Practice | 6cp | |
| 25575 Investment Banking | 6cp | |
| 25579 Applied Portfolio Management | 6cp | |
| 25620 Derivative Securities | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37181 Discrete Mathematics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Spring session | ||
| 37357 Advanced Statistical Modelling | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 37181 Discrete Mathematics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Risk Management major, all other sub-majors | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 25300 Fundamentals of Business Finance | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 25556 The Financial System | 6cp | |
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Spring session | ||
| Select 24 credit points from the following: | 24cp | |
| CBK90232 Electives (Science UG) | 24cp | |
| SMJ10081 Consumer Analytics | 24cp | |
| SMJ10082 Operations Analysis | 24cp | |
| SMJ10084 Financial Mathematics | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Spring session | ||
| 37253 Sample Surveys | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| Financial Mathematics maj, Financial Mathematics Extension smj | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 25300 Fundamentals of Business Finance | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 25556 The Financial System | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Spring session | ||
| 31271 Database Fundamentals | 6cp | |
| 37335 Differential Equations | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| 25503 Investment Analysis | 6cp | |
| 25557 Corporate Finance: Theory and Practice | 6cp | |
| 25575 Investment Banking | 6cp | |
| 25579 Applied Portfolio Management | 6cp | |
| 25620 Derivative Securities | 6cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Spring session | ||
| 37363 Stochastic Processes | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| Financial Mathematics major, all other sub-majors | ||
| Year 1 | ||
| Autumn session | ||
| 37131 Introduction to Linear Dynamical Systems | 6cp | |
| 37141 Introduction to Quantitative Management | 6cp | |
| 37151 Introduction to Statistics | 6cp | |
| 37252 Regression Analysis | 6cp | |
| Spring session | ||
| 25300 Fundamentals of Business Finance | 6cp | |
| 37132 Introduction to Mathematical Analysis and Modelling | 6cp | |
| 37161 Probability and Random Variables | 6cp | |
| 37171 Introduction to Programming for Mathematics | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 25556 The Financial System | 6cp | |
| 31271 Database Fundamentals | 6cp | |
| 37233 Linear Algebra | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| Spring session | ||
| Select 24 credit points from the following: | 24cp | |
| CBK90232 Electives (Science UG) | 24cp | |
| SMJ10081 Consumer Analytics | 24cp | |
| SMJ10082 Operations Analysis | 24cp | |
| SMJ10083 Risk Management | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 31250 Introduction to Data Analytics | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37242 Optimisation in Quantitative Management | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31253 Database Programming | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Spring session | ||
| 37335 Differential Equations | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| 37399 Analytics Capstone | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 31005 Machine Learning | 6cp | |
| 31253 Database Programming | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
Honours
The Bachelor of Science (Honours) in Analytics (C09099) is available to eligible students with an additional one year of full-time study.
Other information
Further information is available from:
UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS