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奥克兰大学数据科学专业硕士

University of AucklandMaster of Professional Studies in Data Science

专业简介

The MProfStuds is a masters degree with a professional focus. It can be a useful way to continue your postgraduate study if you already have a masters degree. Programme highlights: The MProfStuds is a masters degree with a professional focus. It can be a useful way to continue your postgraduate study if you already have a masters degree. Specialisations available: Data Science Digital Security Education Mathematics Education Teaching Chinese in Schools Programme structure 120 points Advanced taught courses in your chosen specialisation May include a dissertation, depending on your specialisation One year full-time or up to two years part-time for a research masters One year full-time or up to four years part-time for a taught masters Mathematics Education may be taken as a research masters The Master of Professional Studies specialising in Data Science concentrates on the application of data management and data analysis skills to a professional domain, such as business. You will have the opportunity to: Apply techniques from large-scale data management, data mining, machine learning, statistical modelling and statistical analysis to relevant domains. Assemble theories and tools from computer science, statistics and domains of data science to create information, knowledge, or innovative products, from data. Critically analyse data, but also assess the appropriateness and limitations of the methods and solutions. Take into account ethical considerations and evaluate the impact of their findings on culture, economy, environment and society. Utilise techniques for visualisation and communication to express and share their findings at a level that is appropriate for the target audience. Manage knowledge and time in data science projects. Master of Professional Studies in Data Science - 120 point (one-year) Taught Masters At least 30 points from: COMPSCI 751 Advanced Topics in Database Systems COMPSCI 752 Web Data Management COMPSCI 753 Uncertainty in Data COMPSCI 760 Data Mining and Machine Learning At least 30 points from: STATS 762 Special topic in regression STATS 769 Advanced Data Science Practice STATS 782 Statistical Computing STATS 784 Statistical Data Mining Up to 30 points from: SCIENT 701 Accounting and Finance for Scientists SCIENT 702 Marketing for Scientific and Technical Personnel COMPSCI 705 Advanced Topics in Human Computer Interaction COMPSCI 711 Parallel and Distributed Computing COMPSCI 720 Advanced Design and Analysis of Algorithms COMPSCI 732 Software Tools and Techniques COMPSCI 734 Web, Mobile and Enterprise Computing INFOSYS 720 Information Systems Research INFOSYS 722 Data Mining and Big Data INFOSYS 727 Advanced Information Security INFOSYS 737 Adaptive Enterprise Systems INFOSYS 740 System Dynamics and Complex Modelling OPSMGT 760 Advanced Operations Systems OPSMGT 762 Quality Management STATS 779 Professional Skills for Statisticians STATS 783 Simulation and Monte Carlo Methods 30 points: COMPSCI 791 Dissertation Further study options Doctor of Philosophy Doctor of Education
  • 课程时长: 1-2年或以学校或offer为准
  • 学费: NZ$35,988.00 (¥ 164,735) /年 NZ $32,392 - NZ $39,584/Year (This fees is for 2018 and it may subject to change for the coming year) 以学校或offer为准
  • 开学时间: 每年2或7月
  • 总学分: 0
  • 是否移民专业:访问官网链接

入学要求

为来自中国的学生设计 Applicants must hold a satisfactory level of competence in the subject area attested from a recognised institution, or an equivalent qualification. Other English Language Requirements accepted: overall score of 575 plus Essay (TWE) of 4.5 in Paper-based TOEFL; CAE score of 58 or higher, no individual language skill below borderline; CPE score of 45 or higher; PTE overall score of 65 and no PTE communicative skills score below 58; score of 85 in Michigan English Language Assessment Battery (MELAB). 国际学生入学条件 120 points (Research / Taught): You must have completed one of the following: A four-year bachelors degree (which includes one year of postgraduate-level study) A one-year postgraduate degree A bachelors degree and a one-year professional qualification or three years professional experience relevant to the area that you would like to study. You will need a GPE of at least 3.0 and for some specialisations a higher GPE will be required. To enrol in the Education specialisation you need to have at least three years’ teaching experience. To enrol in the Mathematics Education specialisation you need to have at least three years’ teaching experience and currently hold a teaching position. To enrol in the Teaching Chinese in Schools specialisation you need to have attained a proficiency level in Chinese of at least HSK Level 5 or equivalent. To enrol in the Translation specialisation you need to have an IELTS Academic overall score of 7.0 with no bands less than 6.5. Alternatively, for non-native speakers of English, you need to have at least three years of tertiary education in the English medium. IELTS (Academic) Overall score of 6.5 and no bands below 6.0; Internet-based TOEFL (iBT) Overall score of 90 and a written score of 21; Paper-based TOEFL Overall score of 575 and an Essay (TWE) of 4.5; C1 Advanced (previously - Cambridge English: Advanced (CAE)) Overall score of 176 and no bands below 169; C2 Proficiency (previously - Cambridge English Proficiency (CPE)) Overall score of 176 and no bands below 169; Foundation Certificate in English for Academic Purposes (FCertEAP) Grade of B-; Pearson Test of English (PTE) Academic Overall score of 58 and no PTE Communicative score below 50; Michigan English Language Assessment Battery (MELAB) 85.

如何申请

  • 申请材料要求 本科已毕业 大学三、四年级在读
  • 是否需要文书
  • 申请费 100澳币
  • 申请周期 1-2月

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