大数据技术研究生文凭
Postgraduate Diploma in Big Data Technologies

学历文凭
Masters Degree

专业院系
数据处理技术

开学时间

课程时长

课程学费

国际学生入学条件
Students who hold Bachelor's degrees in computer science with programming and statistics coursework
International applicants are required to demonstrate English language fluency and must attain minimum scores of TOEFL PBT 550, iBT 80, IELTS 6.5; or the equivalent
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:Duolingo English Test 100; or the equivalent
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
利用您的研究技能和好奇心来汇编和解释压倒性的数据和数字。首先,建立领导层,以建立领导团队和承担风险的潜力。然后,了解如何在分析基于云的技术和其他技术的数据时找到有价值的信息。发现消费者模式并简化导致下一个重大业务决策的研究。
Build a career out of your fearlessness of complicated statistics and datasets. Collect and analyze overwhelming data for companies by first understanding how to find valuable nuggets of information. Apply cloud-based and other technologies to uncover algorithms that lead to predictions on consumer patterns. Simplify the research that leads to the next big business decision and capitalize on the need for more professionals in this promising field.<br>The essentials of practical and contemporary management methods<br>How to mine and predict patterns in data for problem-solving and other initiatives<br>Cloud-based technologies and how they support Big Data<br>How these skills and others are applied in an American business or how to promote yourself to another American business
Build a career out of your fearlessness of complicated statistics and datasets. Collect and analyze overwhelming data for companies by first understanding how to find valuable nuggets of information. Apply cloud-based and other technologies to uncover algorithms that lead to predictions on consumer patterns. Simplify the research that leads to the next big business decision and capitalize on the need for more professionals in this promising field.<br>The essentials of practical and contemporary management methods<br>How to mine and predict patterns in data for problem-solving and other initiatives<br>Cloud-based technologies and how they support Big Data<br>How these skills and others are applied in an American business or how to promote yourself to another American business
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