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梅西大学/Massey University

    课程名称: Bachelor of Information Sciences (Data Science)
    课程级别:学士学位/Bachelor's Degree(7级)
    课程代码:
    学费:$29,970 NZD Per Year
    学分:
    开学时间:16-July-2018
    申请截止:
    授课校区:Auckland Campus
    课程信息:

    Course details

    Summary

    The only degree of its kind in Australasia

    Massey’s Bachelor of Information Sciences (Data Science) is a unique degree will enable you to become a high-tech specialist with the relevant skills to take you to the forefront of this fast-paced industry.

    What is it Like?

    Massey University’s Bachelor of Information Sciences (Data Science) gives you the skills to fill the rapidly growing number of jobs in the area of data science and analysis.

    You will learn how to make sense of complexities so others can easily understand them and how to apply computing to data-oriented challenges. You may have an interest in commerce, government, natural and social sciences, and you may want to learn apply technology to drive innovation, decision-making and research in those fields. You will learn how to use programming to solve potentially world-changing issues.

    If you have a curious mind, are fascinated by data and enjoy the thrill of making discoveries and want to join a rapidly growing industry this qualification is for you.

    A brand new job

    Data Scientist is one of the newest job descriptions in the Information and Communication Technology (ICT) sector. Massey University is the first and only university in New Zealand to offer to equip undergraduate students as data scientists.

    You will learn how to solve real-world problems using data, in combination with cutting-edge computing technologies and analytical methods. You will gain the expertise to formulate business domain questions into series of queries that your data can answer. You will learn how to apply techniques like data mining, machine learning, statistical analysis and data visualization to discover and extract information from data. Beyond the mechanics, you will also become skilled in communicating your findings to management as well as to wider non-technical audiences.

    A multitude of options

    Data science is a broad and multidisciplinary field. As a data scientist you will be likely to work in teams where each member has different sets of complementing interests and strengths. You too can choose which area to specialise in. If you would like to become a data scientist with expert knowledge in computer science, IT, statistics or mathematics, this qualification is structured in such a way that it allows you to do that. You can pursue a double major (or minors) combinations with any of these subjects.

    Even more broadly than that, you will be able to take advantage of Massey’s expertise across a broad range of sciences disciplines outside of information sciences. If you are interested in natural and fundamental sciences, you can choose to complete a double major/minor combination including chemistry, biology, genetics or physics. These are also areas where computational and data processing skills are becoming increasingly central.

    Similarly, you may choose data science with a specialization in a form of a minor from any of the offerings under business, health, creative arts or humanities and social sciences in order to ensure that you gain the complementary expert knowledge in the domain you are passionate about, which will give you a distinct focus and advantage in the industry.

    A career with variety

    Some examples of careers that could lead on from this qualification include:

    • Data science engineer
    • Business analytics consultant
    • Data-product entrepreneur
    • Banking fraud detection analyst
    • Machine learning specialist
    • Government researcher
    • Government communications and security analyst
    • Customer insight analyst
    • Data management architect
    • Text mining analyst
    • Software developer
    • Scientific researcher

    Entry criteria

    All students must have a university entrance qualification. However, it is strongly recommended that students have studied Mathematics at NCEA level 3 (or equivalent).

    English language requirements:

    • IELTS score of 6.0 (no band less than 5.5)
    • TOEFL iBT score of 80 overall (min 19 in Writing)
    • PTE Academic score of 50 Overall (min 42 in communicative skills)
    • Cambridge English score of 170


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