Level Up your Future
The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science.
The Plymouth MSc Data Science and Business Analytics is a multi-disciplinary programme involving three subject areas: Computing, Business and Statistics. The design of the Masters programme in Data Science and Business Analytics includes 120 credits of core modules and 60 credits of dissertation.
This programme aims to produce graduates with critical understanding of information governance and assurance, combined with technology risk management practices. Students will learn how to explore the threat landscape and develop countermeasures for cubersecurity attacks. Students also study security for the Internet of Things (IoT) and the security concepts and technologies used in mobile devices.
The course will equip participants with knowledge and skills on how to use information technology both in the workplace and at home safely and securely.
In our courses, we draw from our “battlefront” not only technical knowledge but lessons learned to share with managers, data scientists and infrastructure engineers.
This course aims to develop full stack capability with emphasis on employability in Data Science. The bootcamp seeks to develop highly employable data science skills that is much sought after by the industry.
This course will benefit middle management personnel of organisations and enterprises who have the responsibility to lead and rally their organisation to become more digital and more agile to the needs of customers.
The FinTech Foundation Programme aims to: Increase your awareness and appreciation of FinTech and its impact across various sectors, impart hands-on design thinking skills in financial services, and equip you with the skills needed to perform higher value-added financial services.
The Graduate Diploma in Systems Analysis programme (GDipSA) is designed for non-IT graduates intending to craft a new career path in the IT industry.
This online course will be of interest for professionals who deal with data on a day-to-day basis and wish to understand how data can be leveraged for smarter business decisions.
The course is developed for mechanical and materials engineers who want to engage in hi-tech manufacturing methods to deliver the development of innovative products.
The Master in Business Analytics and Big Data positions students to tackle the biggest challenges in our data-driven era.
The Master combines faculty resources of a Business School and an Engineering School, in Paris and Singapore, to provide a unique one-year intensive program –or two years program.
The Master in Digital Marketing trains students to understand the behaviors of today’s digital consumers through analytics, define comprehensive strategies to optimize customer engagement and transform data into action to maximize digital performance.
The Master of Data Science is one of the few programs in the world to combine a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.
The Master of Data Science provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives.
The Master of IT in Business (MITB) programme delves into 3 specialisation tracks to choose from – Analytics, Financial Technology & Analytics, and Artificial Intelligence. Each of these tracks uniquely resources you to lead competently and decisively.
The CSC’s approach is a multi-disciplinary one, combining academics, government and industry experts from a variety of disciplines who bring together the technical and behavioural aspects of cyber security research.
Studying this MSc, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.
The NUS Master of Science (MSc) in Industry 4.0 is an interdisciplinary graduate degree programme to help you keep pace with the changing nature of industries amid technological disruptions, and lead transformation to enhance productivity in the workplace.
This programme is designed for engineers with an undergraduate degree in any one of several fields of engineering. It encompasses the latest research findings, both applied and fundamental.
This MTech DL programme that focus on digital strategy and leadership will equip students with the critical thinking, hard and soft skills to become an effective leader.
The MTech EBAC programme prepares students for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, analytics, models and frontline tools.
The NUS Master of Technology in Intelligent Systems programme is targeted at working professionals who wish to be able to design and build systems that utilise Artificial Intelligence and other Smart Systems techniques.
The NUS Master of Technology in Software Engineering is designed to meet the industry demand for software engineers who can help Singapore organisations to realise the smart nation initiatives through building robust, reliable and scalable software systems.
The Master of Science in Information Studies programme is a multidisciplinary programme combining theory and practice to address the growing need of organisations for skilled information professionals.
The MSIS programme blends theory and practice and aims to equip students with advanced knowledge necessary for the design, development, maintenance, and management of information systems.
We develop researchers and educators who address deep technology challenges in real information systems that impact business processes or management, or who develop tools and methodologies to translate business goals to technological solutions.
The CSC’s approach is a multi-disciplinary one, combining academics, government and industry experts from a variety of disciplines who bring together the technical and behavioural aspects of cyber security research.
Studying this Postgraduate Certificate, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.