In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.
Big data deals with the quantity, nature, context, consistency and quality of large data sets. A firm grasp of mathematics and computer science is required for this field of study. Results in big data have been used in the military, public finance sector, education and more.
As the largest and most populous continent in the world, Asia consists of a wide variety of ethnic groups, cultures, environments, economics, historical ties, and governmental systems.
View all Master Programs in Big Data in Asia 2017
The master’s degree program Enterprise Application Development and Architectural Design is implemented in conjunction with Haulmont – a leading British IT firm, specializing in the professional production of custom software, as well as consulting in the area of information technologies. [+]
The innovative project-oriented training in Data Science led by the minds that envision and hands that shape the future of Big Data World. Your diploma will read Master of Science. Only because our "Wizard" degree is not yet official. [+]
Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]
From September 2017 Narxoz will launch new master level specialization Data science/Big data. While formally specialization will be called Statistics (to meet Ministry of Education and Science formal requirements), its curriculum will be based on world best practices in Data science/Big data. [+]
To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level. [+]
Big Data is located not only in high-tech laboratories and institutes. Big Data can be found near to us, e.g. in complex social networks, cloud multimedia services etc. The problems in distributed storage, transfer and processing of big amount of data are on the frontiers of modern branch of IT. [+]