C04380v2 Master of Business Analytics

Award(s): Master of Business Analytics (MBusAnalyt)
CRICOS code: 0100398
Commonwealth supported place?: No
Load credit points: 72
Course EFTSL: 1.5
Location: City campus

Overview
Course aims
Career options
Course intended learning outcomes
Admission requirements
Pathway course
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information

Overview

The Master of Business Analytics is a unique transdisciplinary program of study in business analytics. With subjects drawn from UTS Business School, the Faculty of Engineering and Information Technology and the TD School, students are provided with a course structure that fits their background and experience, as well as flexible specialisations to meet new needs and career interests. The course is delivered in blended mode, combining contemporary online and face-to-face learning experiences in UTS’s leading-edge facilities. In addition to the on-campus degree, UTS offers an online Master of Business Analytics.

The course is suitable for students from both business and IT backgrounds who seek to upskill and develop the skills required to meet the growth in emerging careers in business analytics.

Course aims

A unique feature of the Business Analytics program is the inclusion of studios, where students apply the technical skills they develop onto real-world projects. Students in the Master of Business Analytics have the option of specialising in a wide choice of streams including Business Services Analytics, Data Analytics, Financial Analytics, Marketing, Software Development and Interaction Design stream.

Career options

Career options are incredibly varied as virtually every company in every industry now collects huge amounts of data that needs to be interpreted and analysed to inform decision-making. Graduates from this program are able to provide valuable insights on matters such as fraud detection, logistics optimisation, customer acquisition and retention, and demand forecasting.

Course intended learning outcomes

1.1	Research, identify and evaluate the assumptions implicit in data and apply analytical techniques to facilitate business decision making
1.2	Create innovative business solutions utilising data for a range of business stakeholders
2.1	Convey information and decisions clearly in written, verbal and visual form to business stakeholders
2.2	Interact with colleagues and stakeholders to work effectively towards agreed outcomes
3.1	Critically evaluate and apply professional ethical standards, the principles of sustainability, social responsibility, and Indigenous values as business analysts
4.1	Integrate advanced data analysis techniques with business practices to generate actionable knowledge to inform and facilitate effective decision-making in local and international contexts

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

Minimum Academic Requirement: The bachelor's degree should be in a related field within the business or information technology disciplines.

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 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

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

Students who do not meet the requirements to gain entry into the Master of Business Analytics may be eligible for entry into the Graduate Certificate in Business Analytics (C11280). Satisfactory completion of the UTS Graduate Certificate, allows students to articulate into the Master of Business Analytics.

Recognition of prior learning

Students in the Master of Business Analytics are not granted exemptions for any prior studies.

Course duration and attendance

The course can be completed in one-and-a-half years of full-time or three years of part-time study.

Course structure

The course totals 72 credit points and consists of a combination of core, including foundation stream, and elective subjects.

Students with a business background select STM91345 Foundation in IT stream (Business Analytics) (information technology foundation subjects) and students with information technology background select STM91344 Foundation in Business stream (Business Analytics) (business foundation subjects).

Students can also choose a specialisation from the following streams in CBK91803 Specialisation option (Business Analytics): Marketing Analytics (12 credit points), Financial Analytics (12 credit points), Business Services Analytics (12 credit points), Data Analytics (12 credit points), Software Development and Interaction Design (12 credit points), Internet (12 credit points), and Innovation (24 credit points) stream.

Electives can be taken in one of two ways: as multiple specialisations (usually two subjects, totalling 12 credit points for each specialisation), or as two specialisations (total 24 credit points), or four mixed electives (24 credit points).

Course completion requirements

26776 Foundations of Business Analytics		3cp
23708 Studio 1: Foundation		6cp
24754 Studio 2: Specialisation		6cp
42048 Studio 3: Innovation		12cp
STM91343 Programming Languages stream (Business Analytics)		9cp
Select one of the following:
CBK91805 Electives (Business Analytics)	12cp
CBK91802 Foundation option (Business Analytics)	12cp
CBK91803 Specialisation option (Business Analytics)		24cp
Total		72cp

Course program

A typical course program is provided below, showing the recommended study sequence to ensure completion of the course within the expected duration. Refer to the Timetable Planner for confirmation of availability.

Foundation in IT, Autumn commencing, full time
Year 1
Autumn session
26776 Foundations of Business Analytics		3cp
23708 Studio 1: Foundation		6cp
26777 Data Processing Using SAS		3cp
32606 Database		6cp
32557 Enabling Enterprise Information Systems		6cp
Spring session
24754 Studio 2: Specialisation		6cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Year 2
Autumn session
42048 Studio 3: Innovation		12cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Foundation in Business, Autumn commencing, full time
Year 1
Autumn session
26776 Foundations of Business Analytics		3cp
23708 Studio 1: Foundation		6cp
26777 Data Processing Using SAS		3cp
24748 Deliver Customer Value		3cp
22788 Accounting Practices and Tools		3cp
25720 Applied Financial Management		3cp
21954 Sustainable Enterprise in Dynamic Systems		3cp
Spring session
24754 Studio 2: Specialisation		6cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Year 2
Autumn session
42048 Studio 3: Innovation		12cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Foundation in IT, Spring commencing, full time
Year 1
Spring session
26776 Foundations of Business Analytics		3cp
23708 Studio 1: Foundation		6cp
26777 Data Processing Using SAS		3cp
32606 Database		6cp
32557 Enabling Enterprise Information Systems		6cp
Year 2
Autumn session
24754 Studio 2: Specialisation		6cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Spring session
42048 Studio 3: Innovation		12cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Foundation in Business, Spring commencing, full time
Year 1
Spring session
26776 Foundations of Business Analytics		3cp
23708 Studio 1: Foundation		6cp
26777 Data Processing Using SAS		3cp
24748 Deliver Customer Value		3cp
22788 Accounting Practices and Tools		3cp
25720 Applied Financial Management		3cp
21954 Sustainable Enterprise in Dynamic Systems		3cp
Year 2
Autumn session
24754 Studio 2: Specialisation		6cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp
Spring session
42048 Studio 3: Innovation		12cp
Select 12 credit points from the following:		12cp
CBK91803 Specialisation option (Business Analytics)	24cp

Articulation with UTS courses

This course is part of an articulated program comprising the Graduate Certificate in Business Analytics (C11280) and the Master of Business Analytics.