Phd Holder At 26, Data Scientist Believes Huge Data Is The Long Run

Other educational qualifications equivalent to the above which are accepted by the Senate. [newline]Intake for Coursework and combined mode are open twice a 12 months, which is every October until November and every April until May .

phd in data science

Intake for the course work mode and combined mode programmes are open twice a yr, which is each October till November and each April till May . Application for research mode programmes could be made any time all yr long. / Ph.D. in IT programme is an exciting graduate programme that gives its college students the prospects of working on cutting-edge analysis in a wide spectrum of technological areas. We believe in nurturing and provoking our graduate college students to excel in analysis and put together them to confidently method their IT/research career. ODL allows college students to be taught anytime, wherever at their very own pace – this power of freedom has ignited extra curiosity & excitement in studying.

phd in data science

Other than working in the educational world, she can also be involved in several analysis projects with industries, corresponding to Cybersecurity Malaysia, Astronautic Technology Sdn Bhd and Sapura Group. A Bachelor’s diploma with minimal CGPA of three.sixty seven or equal, in a Computer Science or Information Technology or related field from MMU or establishments recognised by Senate could be accepted topic to rigorous internal evaluation. There is an choice to undertake further analysis workshops organized jointly by Graduate School of Technology and Graduate School of Business • Students should take part in on-line analysis seminars/colloquiums/conferences. • For PhD in Computing/ Technology, college students are required to publish 1 journal article as a requirement for the PhD award.

Data science is an emerging analysis area concerned with extracting knowledge and worth from data. Methods that scale to huge data are of particular curiosity in data science, although the discipline is not generally thought of to be restricted to such huge data, and massive data options are sometimes centered on organizing and preprocessing the data as a substitute of study. This programme permits college students who want to strengthen their profession prospects in data science to accumulate in-depth information and skills to analyse, visualize and remodel vast portions of information in differents fields into priceless insights. The ODL (Open & Distance Learning) PhD programmes are designed to address the theoretical and practical information talent and artefacts used in the development of relevant research expertise. The Master of Data Science programme offers alternatives for degree holders in both science and non-science streams to study the foundations within the science of massive data and to offer them expertise on this rising discipline. Assessment of the elemental knowledge is carried out through assessment of the students’ efficiency based on oral and written assessment .

phd in data science

Students will reinforce their impartial studying skills, as properly as reveal their capability to provide a professional doc. A research diploma is awarded totally on the basis of a thesis embodying the outcomes of a research project and any coursework topics or different formal studies required by the University and the School of Computer Sciences to be undertaken in the course of the candidature period. • The English language requirement is waived for the candidates who are natives of and/or have accomplished their Bachelor’s or Master’s degrees from international locations that use English because the medium of instruction in addition to the first language.

phd in data science

Dr. Siti Sophiayati Yuhaniz is a Senior Lecturer at Advanced Informatics School, Universiti Teknologi Malaysia . Currently, she is the Program Coordinator for MSc and the Head of Machine Learning for Data Science Group at UTM AIS. She obtained her PhD from the University of Surrey, United Kingdom in 2008, in the area of Image Processing On-Board Small Earth Observation Satellites. She is presently energetic in the analysis field of Machine Learning, Deep Learning, Pattern Recognition, Image Processing and Big Data Analytics.

phd in data science

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