Specialisation

Major - Business Analytics

Western Sydney University Major Code: MT2041.1

Status: CURRENT
This version of the specialisation is available to new and continuing students.


Related Courses

1818.4 Bachelor of Arts/Bachelor of Business
1819.3 Bachelor of Communication/Bachelor of Business
1820.2 Bachelor of International Studies/Bachelor of Business
2786.3 Bachelor of Business
2787.2 Bachelor of Business (Advanced Business Leadership)
2788.3 Bachelor of Business/Bachelor of Laws
3687.2 Bachelor of Information Systems
3688.1 Bachelor of Information Systems Advanced
3728.4 Bachelor of Engineering (Honours)/Bachelor of Business
3737.2 Bachelor of Information and Communications Technology/Bachelor of Business
3744.2 Bachelor of Information Systems/Bachelor of Business
3745.2 Bachelor of Information Systems Advanced/Bachelor of Business
4748.4 Bachelor of Science/Bachelor of Business
6037.3 Diploma in Business/Bachelor of Business

Available to students in other Western Sydney University Courses : NO


Generating and communicating information and insight from increasingly diverse and growing sources of data for business decision-making is a crucial asset for any organisation. Starting with a framework for applying the tools of business analytics, this major develops a blend of skills from mathematics, statistics and computing. Students will acquire knowledge and understanding in the continually developing areas of artificial intelligence, data visualisation and applications of big data.


Location

Campus Mode Specialisation Advice
Parramatta City Campus-Macquarie Street Internal Course Advice

Major Structure

Qualification for this major requires the successful completion of 80 credit points including all of the focus units listed below.

Focus Units for this Major

(Note: Students enrolled in 3687/3688 will complete the focus units for this major in their elective spaces)

201090 Introduction to Business Analytics
300580 Programming Fundamentals

(Note: Students enrolled in 3687/3688 must complete 200912 Enterprise Leadership instead of 300580 in this major)

301107 Analytics Programming
301033 Introduction to Data Science
301435 Machine Learning
301109 Visual Analytics
301110 Applications of Big Data
300958 Social Web Analytics

Professional Core Units

Students undertaking the Business Analytics major are advised to take the following four units to satisfy the requirements for their professional core:

200918 Design Thinking for Creativity
201091 Business Analytics Project
200032 Statistics for Business
200914 Working in Professions

Recommended Sequence: Bachelor of Business students only

(Note: Students in 3687/3688 will only complete the focus units for this major listed above)

Qualification for the award of Bachelor of Business with a major in Business Analytics requires the successful completion of 240 credit points as per the recommended sequence below.

Full-time

Year 1

Autumn session

200910 Financing Enterprises
200909 Enterprise Law
201090 Introduction to Business Analytics
200032 Statistics for Business

Spring session

200912 Enterprise Leadership
300580 Programming Fundamentals
200911 Enterprise Innovation and Markets

And one elective

Year 2

Autumn session

301107 Analytics Programming
301435 Machine Learning

And two electives

Spring session

301033 Introduction to Data Science
200914 Working in Professions

And two electives

Year 3

Autumn session

301109 Visual Analytics
301110 Applications of Big Data
200918 Design Thinking for Creativity

And one elective

Spring session

300958 Social Web Analytics

Enterprise Engaged Unit

201091 Business Analytics Project

And two electives

Part-time

Year 1

Autumn session

200910 Financing Enterprises
200909 Enterprise Law

Spring session

201090 Introduction to Business Analytics
200032 Statistics for Business

Year 2

Autumn session

200912 Enterprise Leadership
300580 Programming Fundamentals

Spring session

200911 Enterprise Innovation and Markets

And one elective

Year 3

Autumn session

301107 Analytics Programming

And one elective

Spring session

200914 Working in Professions

And one elective

Year 4

Autumn session

301033 Introduction to Data Science
301435 Machine Learning

Spring session

Two electives

Year 5

Autumn session

301109 Visual Analytics
301110 Applications of Big Data

Spring session

200918 Design Thinking for Creativity

And one elective

Year 6

Autumn session

300958 Social Web Analytics

And one elective

Spring session

Enterprise Engaged Unit

201091 Business Analytics Project

And one elective



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