Statisticians are in demand. The huge variety and quantity of data generated today means more people are needed who can analyse it and make sense of it.
Victoria's Master of Applied Statistics (MAppStat) is designed to train you in a range of advanced statistical methods and give practical experience in the variety of work professional statisticians are involved in.
Develop your research, analytical, and client communication and consultancy expertise. You'll gain a toolbox of skills so you can solve real-life problems. Graduate prepared for a career with many different types of workplace including government agencies, science institutions and businesses.
To enrol in the MAppStat you'll need to have a degree in Statistics, Mathematics or another relevant discipline, with an average grade of B+ or better.
Your programme will be made up of both coursework at the University and practical training in the field. The MAppStat has a professional focus and you'll complete a consultancy project and work experience practicum. This will give you a unique experience among applied statistics programmes internationally.
Work alongside other students in a consulting role with real clients such as clinicians or academics. You'll learn how to talk to clients about technical issues in a language they'll understand, and you'll make an oral presentation and write a report.
During your practicum you'll gain valuable professional work experience with a host organisation such as the Ministry of Business, Innovation and Employment, Statistics New Zealand and NIWA, or data science companies like Dot Loves Data or Harmonic Analytics. You'll be matched to an environment that suits your goals.
Complete your Master's in one year full time over three trimesters (March–June, July–October, November–February), or in up to three years part time. Normally, students start the programme in either March or July.
If you complete only the coursework you may be awarded a Postgraduate Diploma in Science in Statistics.
If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.
The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.
For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.
The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.
The Department of Mathematical Sciences offers a professionally oriented Master’s of Arts degree program in statistics. The lively and versatile curriculum focuses on training that is applicable in the real world, and the program aims to prepare skillful statisticians for professional careers in industry. The track includes an integral lab component that emphasizes the practice of contemporary data analysis and exposes students to methods, software and theory commonly used in applications of statistics.
The MA is designed to provide students with a solid foundation of practical knowledge to work with statistics in depth, for future careers in the public and private sectors as statistical scientists, consultants and engineers to manage and analyze data. The program requires courses specific to the area of applied statistics, and the student is required to finish 10 courses and two 1-credit capstone seminars for a total of 42 credits. An exit exam or final thesis is not required.
Driven by the ever-greater reliance of businesses and governments on data, the demand for professionals with strong quantitative analytical skills is now higher than ever. Program graduates will be trained to pursue careers in a variety of fields that require data-crunching and quantitative analysis. Well-trained statisticians and data scientists are employed in the following roles in a wide spectrum of industries:
◾quants (and traders)
◾production/manufacturing quality control managers
◾biomedical, biometrics, and bioinformatics researchers
◾biostatisticians in pharmaceutical industry
◾government statisticians (census)
- Online graduate degree application and application fee
- Transcripts from each college/university which you attended
- Three letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores
And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores