Masters Degree in Big Data in Oceania

Search Masters Programs in Big Data in Oceania 2017

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

Do you want to study in Oceania? The two most in demand study destinations on Oceania: Australia and New Zealand, both together offer a uncommon and very distinctive study adventure.

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Master of Information Technology

The University of Waikato
Campus Full time 12 - 18 months March 2017 New Zealand Hamilton

The Master of Information Technology at the University of Waikato moves you beyond the theoretical through to supervised project-based learning and on-the-job experience with an industry partner. [+]

Masters in Big Data in Oceania 2017. Master of Information Technology The Master of Information Technology at the University of Waikato moves you beyond the theoretical through to supervised project-based learning and on-the-job experience with an industry partner. The course's main feature is the industry internship (FMCS596) paper which gives you industry experience for one whole semester. As an intern you will be mentored and supported by your employer and University supervisor, as you work on a real-world problem in an industry team setting. The MInfoTech was developed as part of the Auckland ICT Graduate School, a joint initiative between the University of Waikato and the University of Auckland, to develop industry-ready ICT experts. The aim of the programme is to meet the explosive demand for highly-skilled network and data professionals, coders, system architects, web developers and other work-ready ICT professionals. Technology is the fastest growing sector in New Zealand and with a $1.3 trillion projected growth in the global ICT industry from 2013-2020, the MInfoTech prepares you to make the most of the significant opportunities available in this industry. Our aim is to ensure you move beyond the classroom and into professional work situations with a full complement of employable IT skills. The Postgraduate Certificate in Information Technology (PGCertInfoTech) provides the ideal pathway to the Master of Information Technology (MInfoTech). Career opportunities Internet/Multimedia Developer Database Developer Cloud Computing Developer Data Security Developer Network and Support Developer Software Architect Technical Consultant Systems Administrator Admission and enrolment For admission, students will need to have completed a relevant bachelor's degree, normally in Computer Science. You will need an average of at least B in 80 points of 300 level or above including at least 40 points in Computer Science or a related field. Students with a non-ICT undergraduate degree are encouraged to apply for the Postgraduate Certificate in Information Technology (PGCertInfoTech). International students will need to have an IELTS score of 6.5 with at least 6.0 in the writing band. International students can email international@waikato.ac.nz for more information or help with the application process. Degree Structure For students with an undergraduate degree, this degree requires a total of 180 points consisting of 120 points of 500 level taught papers and a 60 point internship (FCMS596). For students with an Honours degree, this degree requires a total of 120 points consisting of 60 points of 500 level taught papers and a 60 point internship (FCMS596). [-]

Master in Data Science

The University of Queensland
Campus Full time 2 years January 2017 Australia Saint Lucia

The Data Science program at The University of Queensland will be the first in Australia to offer an advanced level of computing, statistics, mathematics and business knowledge applied in industry, government, social and scientific contexts and balanced with essential attributes relevant to data science including the ethical use of data, legal considerations for data science, business communication, hands-on experience with relevant big data tools and technologies, and creative and disruptive thinking applied to complex problems. [+]

Why study the Master of Data Science There is a significant and ongoing growth in the demand for Data Scientists globally. Data Science is an exciting new area of study that is applicable in a large number of industry sectors such as health, energy, finance, manufacturing, as well as in government. The Data Science program at The University of Queensland will be the first in Australia to offer an advanced level of computing, statistics, mathematics and business knowledge applied in industry, government, social and scientific contexts and balanced with essential attributes relevant to data science including the ethical use of data, legal considerations for data science, business communication, hands-on experience with relevant big data tools and technologies, and creative and disruptive thinking applied to complex problems. Graduates from this program will be well-equipped to tackle complex data science challenges and play a leading role in the future development of data science solutions globally. Please note that the English Language Proficiency requirement for this program is currently being reviewed. Entry requirements Prerequisites The program will be available to students with at least a 3-year undergraduate degree with a major in computer science, IT, statistics, mathematics, engineering, or a program with substantial quantitative competencies sufficient to allow timely completion of the program. Completion of Queensland Year 12 or equivalent Mathematics B is also required. Applicants are encouraged to provide a CV which details any experience working with data. Inclusion of a statement of interest in the Master of Data Science and the potential contribution to career development is strongly encouraged. English Proficiency IELTS overall 7; reading 7; writing 7; speaking 7; listening 7. For other English Language Proficiency Tests and Scores approved for UQ, view the English proficiency policy below. In order to gain entry to an academic program at UQ, you will have to demonstrate you have the appropriate level of English language skills. To meet the UQ's English language proficiency requirements, you must demonstrate one of the following: a score equivalent to four semesters of Sound Achievement in Queensland Studies Authority English, English for ESL Learners or Australian or international equivalent. Less than four semesters may be considered for some programs. at least 6.5 overall and a minimum of 6.0 in each sub-band of the International English Language Testing System (IELTS) or equivalent test. Some programs have higher English proficiency requirements; see individual program requirements. Other equivalent tests such as the Test of English as a Foreign Language (TOEFL) and Pearson Test of English (PTE) Academic are also accepted, and other qualifications and experience may also be considered. Study Abroad and Incoming Exchange students are only required to meet the overall score (eg 6.5 IELTS or 87 TOEFL or 64 PTE). Visa requirements International students who are accepted into full-time study in the Master of Data Science are eligible to apply for an Australian student visa. The Australian Government has simplified the visa application process. Now, all international students apply for the Student Visa (subclass 500). There are a number of requirements you must satisfy before a visa is granted. Program structure Courses The courses offered in the Master of Data Science are set out in the course list. Each course is allocated a certain number of units (#). Program Rules The Program Rules explain what is required to complete the Master of Data Science. These requirements include the total number of units you need to complete in order to graduate. To have your degree conferred, you also need to comply with the General Award Rules. The General Award Rules, along with other policies and regulations, can be found on the University Rules page. [-]

Master of Science in Information Technology (MSIT)

President University
Campus Full time July 2017 Indonesia Jakarta

The Master of Science in Information Technology (MSIT) enables students to gain a solid foundation in areas such as information architecture, information quality assurance, usability, IT governance, information systems management, IT project management, user experience design, IT documentation/technical writing and communication, distributed information systems, data management, and mobile information systems. The Master in Information Technology (MSIT) program comprises 38 credits (including Thesis) which could be accomplished in 4 semesters (1 semester equals to 4 months). You can complete your Masters Degree within 16 months. [+]

Masters in Big Data in Oceania 2017. Innovative Step to Technology Advancement The Master of Science in Information Technology (MSIT) enables students to gain a solid foundation in areas such as information architecture, information quality assurance, usability, IT governance, information systems management, IT project management, user experience design, IT documentation/technical writing and communication, distributed information systems, data management, and mobile information systems. The Master in Information Technology (MSIT) program comprises 38 credits (including Thesis) which could be accomplished in 4 semesters (1 semester equals to 4 months). You can complete your Masters Degree within 16 months. Below is a guide to the number of credits in the Master of Science in Information Technology. Data Quality 3 credits Software Development Methodology 3 credits Distributed Systems 3 credits Machine Learning 3 credits Security System 3 credits Computer Vision 3 credits Information Retrieval Systems 3 credits Analysis of Algorithms 3 credits Seminar 2 credits Research Methodology 2 credits Data Mining 2 credits Information Extraction 2 credits Modelling and Simulation 2 credits Enterprise Resource Planning 2 credits Vision In 2018, becomes a leading of Information Technology graduate education in Indonesia, able to compete globally and actively support the industries. Mission To administer high quality learning process in Information Technology science and technology. To conduct high quality research and development in Information Technology science and technology, especially focus on support for industries To advocate and endorse Information Technology in community empowerment. To cooperate with industries, privates, government and other institutions in implementing the Information Technology’s MSIT Concentration Business Intelligence IT for Industry MSIT Graduate Attributes The graduates of MSIT program are expected to possess the following attributes: Innovators. Able to contribute expertise to the development of Information Technology in relevant industries. Problem Solvers. Able to utilize systematic and logic approaches to solve IT-related problems in dynamic working environments. You can learn more about specific admission requirements for The Master of Science in Information Technology (MSIT) by completing the form to request free information. [-]