Summary
Data has the potential to transform the way business, government, science and healthcare is carried out. Conventional manual techniques, however, aren't capable of handling the deluge of data that modern systems generate. Data science, which applies specialised computational and statistical techniques to analyse big data, is considered a key skill of the 21st century, and there's a skills shortage in this field.
The interdisciplinary Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You'll be able to process and analyse data sets; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.
Key features
Gain technical knowledge relevant to a range of industries
Apply technical skills in areas such as business and scientific applications, forensic investigation and research. Stand apart from your competitors as you enter the workforce
Acquire key skills in data management on and off the cloud, machine learning, statistical modelling and big data technologies. Gain a valuable set of interdisciplinary skills
Develop your capabilities across computer science, maths and statistics, enabling you to apply data science to real-world issues. Expand your knowledge of data science
Choose electives in areas such as data security management and modern computational statistical methods.
*Gösterilen fiyat gösterge amaçlıdır, lütfen kurum tarafından kontrol ediniz
8 July 2024
Daha fazla bilgi
Başlangıç tarihi
22 Temmuz 2024
Macquarie University
North Ryde Campus,
MACQUARIE UNIVERSITY,
New South Wales,
2109, MACQUARIE PARK, Australia
2 years
AQF level 7 bachelor's qualification in a related discipline or recognised equivalent
1 year
AQF level 8 bachelor honours or graduate diploma qualification in Data Science or
AQF level 7 bachelor in Data Science and a WAM of +65
English language requirements
Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.
Dünyada ilk 200 lik dilimdeki üniversitede öğrenciler tutkularını keşfeder ve küresel yükseköğretim lideri kurumda kariyer hedeflerinin peşinden gide