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C09099v1 Bachelor of Science (Honours) in Analytics

Award(s): Bachelor of Science (Honours) in Analytics (BSc(Hons))
CRICOS code: 088440D
Commonwealth supported place?: Yes
Load credit points: 48
Course EFTSL: 1
Location: City campus

Overview
Career options
Admission requirements
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

The Bachelor of Science (Honours) is an introduction into research training and more advanced areas of study in analytics and data science. It also fosters soft skills such as time management and independent learning, and provides hands-on experience in working on and managing a creative project.

Honours is suited to students considering a career in data science and quantitative analysis. The course challenges students to exercise more initiative and independence, and to develop greater depth of knowledge and advanced analytical skills, all attributes that are highly sought after by employers.

Honours degree graduates are particularly sought after by employers and their skills enable them to compete for high entry-level jobs leading to progressive careers in data science and business analytics.

Career options

Career options include data scientist and business analyst roles in consumer analytics and marketing research, logistics management, credit risk management, stock market analysis, providing advice on portfolio management, option pricing, prediction of movements in international money markets and financial risk management. Major employers of graduates include media and marketing companies, professional services and consulting firms, banks, insurance companies, superannuation providers, government regulatory bodies such as APRA and ASIC, and other major financial bodies.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree in a relevant discipline at an appropriate level.

Students who are eligible to graduate from the Bachelor of Science in Analytics (C10384) with an average mark of 65 per cent or more over all subjects in Years 2 and 3 (full time) are eligible for entry to the honours degree, subject to the approval of the head of the School of Mathematical and Physical Sciences.

Students who have obtained qualifications equivalent to the Bachelor of Science in Analytics degree are considered for entry, upon application, by the head of school on the basis of their assessed potential to complete the honours degree.

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.

Course duration and attendance

The course is offered on a one-year, full-time or two-year, part-time basis.

Course structure

The honours course requires completion of subjects comprising 48 credit points, consisting of advanced coursework subjects in mathematics, statistics and finance, together with a substantial project. The project involves a major investigation of some area of finance and provides students with the opportunity to apply the skills developed in their coursework.

Course completion requirements

STM91112 Core subjects (Analytics) 30cp
CBK91143 Specialisation choice 18cp
Total 48cp

Course program

The course commences in either Autumn or Spring session. The program shown assumes full-time attendance. Not all subjects may be available.

Statistical Analysis stream
Year 1
Autumn session
37458 Advanced Bayesian Methods   6cp
37493 Thesis (Mathematics) Honours Part A   12cp
Select 6 credit points from the following:   6cp
STM91113 Statistical Analytics stream 18cp  
Spring session
37459 Multivariate Data Analysis   6cp
37494 Thesis (Mathematics) Honours Part B   12cp
Select 6 credit points from the following:   6cp
STM91113 Statistical Analytics stream 18cp  
Stochastic Analysis stream
Year 1
Autumn session
37464 Advanced Stochastic Processes   6cp
37493 Thesis (Mathematics) Honours Part A   12cp
Select 6 credit points from the following:   6cp
STM91114 Stochastic Analytics stream 18cp  
Spring session
37459 Multivariate Data Analysis   6cp
37438 Modern Analysis with Applications   6cp
37494 Thesis (Mathematics) Honours Part B   12cp

Other information

Further information is available from:

UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS

Further information regarding honours, including available projects and the application process, is available from UTS: Science.