Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting.
Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting.
The constant generation of data from our digital society feeds into our everyday lives, affecting how we receive healthcare to influencing our shopping habits.
In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis and visualisation.
The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualisation.
This programme aims and learning outcomes are built around two guiding principles:
To provide comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems.
To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognised languages (in particular, Python and R), but also includes data handling, manipulation, mining and visualisation techniques.
This programme is distinctive in its philosophy of widening participation and provides a route to gain skills and training in data science to those from a background not traditionally associated with the STEM-themes of mathematics, statistics and programming.
The programme is designed to be appealing to a broad range of students who are seeking training or up-skilling in data science.
Local Qualifications
An applicant will normally be expected to possess at least one of the following:
Students who successfully complete the Bachelor of Science with Honours in Computing Science or Bachelor of Information Technology from PSB Academy partner University programmes; OR
A minimum of a bachelor’s degree in a relevant subject such as Computer Science, Mathematics, Engineering, or physics etc.; OR
A relevant professional qualification of an equivalent level.
Minimum Age Requirement
18 years old
English Language Requirement
Students entering the course whose first language is not English, or students whose medium of instruction on their qualifying course was not English, will be required to demonstrate a proficiency in English to IELTS 6.5.
Once known as Singapore’s Productivity and Standards Board, PSB Academy is known today as “The Future Academy”, with an approach to education that focuses on what really matters: performance in the New Economy.
Today, we host over 13,000 students from over 50 nationalities with our slate of certificate, diploma, degree and postgraduate programmes.
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail.
Many experts highlight the potential for Financial Technology (FinTech) to make finance more accessible for those most in need and the FinTech sector in emerging markets and developing economies saw particularly strong growth – as much as 40% in the Middle East and North Africa
Data science is a data-driven approach to problem solving and scientific exploration that involves the process of collecting, managing, analyzing, explaining, and visualizing data and analysis results. It is inherently interdisciplinary in nature.
 The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects. The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government
The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy