Course code: #IN27
These are mandatory and all come with course.
This course at QUT will prepare you for a future-focused career in the fast-paced, ever-changing world of data analytics.
With a collaborative curriculum across disciplines, you’ll learn theories and methods and apply that knowledge to predict, forecast, visualise, and make decisions in various applied areas.
You will study specialist units in advanced statistical data analysis, data mining techniques and applications, data manipulation, analytics for information professionals and advanced stochastic modelling.
You can choose from three majors, plus a "No Major" option for this course.
The " No Major " option offers flexibility in moving around professional, advanced, and elective units.
You may wish to refer to the major structures to help you pick and choose a combination of units across the majors to meet your needs and interests.
This course is designed to meet industry needs specifically.
QUT has combined expertise in statistics, computer science, and business process management disciplines to deliver real-world learning opportunities.
You'll:
$38,100
| Cost of living | 1 person | $10,344 |
| Accommodation | 1 bed room | 0 |
| Tuition | 1 person | $38,100 |
If you need to improve your English language score, The English language programs are designed to help you improve your English, meet the English language requirements for your desired degree program, and prepare for an IELTS test.
| Program | IELTS | TOEFL | PTE | Duration/W | Outcomes |
| General English (5 - 45 weeks) | - | - | - | 5 - 45 |
|
| English for Academic Purposes 1 Extended | 5 R5 W5 | 49 R10 W15 | 38 R38 W38 | 15 |
|
| English for Academic Purposes 1 Standard | 5.5 R5 W5 L4.5 S4.5
| 56 R8 W15 L8 S12 | 46 R38 W38 L32 S32 | 10 |
|
| English for Academic Purposes 2 Extended | 5.5 R5.5 W5.5
| 56 R14 W18 | 46 R46 W46 | 15 |
|
| English for Academic Purposes 2 Standard | 6 R5.5 W5.5 L5 S5
| 71 R14 W18 L10 S14 | 50 R46 W46 L38 S38 | 10 |
|
| IELTS Advanced | 6.5 R6 W6 L6 S6
| 79 R16 W21 L16 S18 | 58 R50 W50 L50 S50 | 10 |
|
You must have a completed recognised bachelor's degree (or higher qualification) in any discipline with a minimum grade point average of 4.00 (on QUT's 7-point scale).
You must have a completed recognised bachelor's degree (or higher qualification) in information technology or mathematics (or a related field) and a minimum grade point average of 4.00 (on QUT's 7-point scale).
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