C09099v1 Bachelor of Science (Honours) in Analytics
University of Technology Sydney
About
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.
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
course | credit |
---|---|
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
course | credit |
---|---|
37458 Advanced Bayesian Methods | 6cp |
37493 Thesis (Mathematics) Honours Part A | 12cp |
Select 6 credit points from the following: | 6cp |
STM91113 Statistical Analytics stream | |
Spring session
course | credit |
---|---|
37459 Multivariate Data Analysis | 6cp |
37494 Thesis (Mathematics) Honours Part B | 12cp |
Select 6 credit points from the following: | 6cp |
STM91113 Statistical Analytics stream | |
Stochastic Analysis stream
Year 1
Autumn session
course | credit |
---|---|
37438 Modern Analysis with Applications | 6cp |
37493 Thesis (Mathematics) Honours Part A | 12cp |
Select 6 credit points from the following: | 6cp |
STM91114 Stochastic Analytics stream | |
Spring session
course | credit |
---|---|
37459 Multivariate Data Analysis | 6cp |
37464 Advanced Stochastic Processes | 6cp |
37494 Thesis (Mathematics) Honours Part B | 12cp |
Entry 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.
Institution
