Data Science

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

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 lively within the analysis subject of Machine Learning, Deep Learning, Pattern Recognition, Image Processing and Big Data Analytics.

phd in data science

Other than working in the academic world, she can also be concerned in several analysis tasks with industries, corresponding to Cybersecurity Malaysia, Astronautic Technology Sdn Bhd and Sapura Group. A Bachelor’s diploma with minimal CGPA of 3.sixty seven or equivalent, in a Computer Science or Information Technology or associated field from MMU or institutions recognised by Senate may be accepted topic to rigorous internal evaluation. There is an option to undertake further analysis workshops organized jointly by Graduate School of Technology and Graduate School of Business • Students must take part in online research seminars/colloquiums/conferences. • For PhD in Computing/ Technology, college students are required to publish 1 journal article as a requirement for the PhD award.

phd in data science

Students will reinforce their unbiased studying skills, in addition to reveal their capability to provide knowledgeable document. A analysis degree is awarded totally on the premise of a thesis embodying the outcomes of a research project and any coursework matters or different formal research required by the University and the School of Computer Sciences to be undertaken during 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 nations that use English because the medium of instruction as well as the first language.

phd in data science

Data science is an emerging analysis area concerned with extracting information and worth from data. Methods that scale to huge data are of specific curiosity in data science, although the self-discipline is not usually thought of to be restricted to such huge data, and massive data options are sometimes focused on organizing and preprocessing the information instead of research. This programme allows college students who wish to strengthen their career prospects in data science to accumulate in-depth data and abilities to analyse, visualize and rework huge quantities of knowledge in differents fields into priceless insights. The ODL (Open & Distance Learning) PhD programmes are designed to deal with the theoretical and sensible information skill and artefacts used in the development of relevant research abilities. The Master of Data Science programme offers alternatives for degree holders in each science and non-science streams to be taught the foundations within the science of huge data and to supply them expertise on this rising discipline. Assessment of the fundamental knowledge is carried out by way of assessment of the students’ performance based on oral and written evaluation .

phd in data science

Intake for the course work mode and combined mode programmes are open twice a 12 months, which is each October till November and each April till May . Application for research mode programmes can be made any time all yr long. / Ph.D. in IT programme is an exciting graduate programme that offers its students the prospects of engaged on cutting-edge research in a wide spectrum of technological areas. We consider in nurturing and inspiring our graduate college students to excel in research and put together them to confidently method their IT/research career. ODL permits students to learn anytime, anyplace at their own tempo – this power of freedom has ignited extra curiosity & excitement in studying.

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