国际学生入学条件
Official college/university diploma(s)/proof of graduation (and certified English translations, if applicable)
For graduate students a four-year bachelor's degree or equivalent with a minimum GPA of 2.5, or completion of National University's Foreign Credential Bridge program, plus proof of English proficiency. TOEFL 79 iBT, IELTS 6.0 (no band lower than 5) TOEFL Paper-based Test 550
展开 IDP—雅思考试联合主办方
雅思考试总分
6.0
了解更多
雅思考试指南
- 雅思总分:6
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:PTEA 58
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Solving real-world problems through statistical methods is the core of the Master of Science in Data Analytics program at National University. Coursework will ground you in how to apply statistical techniques and tools, and how to use methods such as in-depth analysis, synthesis, and evaluation for careers that could include the advanced application of data analytics in unique fields. The curriculum has been designed to include core courses in statistical topics, state-of-the-art analytical software will be used in all courses. To address the spectrum of issues in data analytics, this curriculum has been designed to include core courses in statistical topics as well as areas for advanced applications of data analytics in unique fields. Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. Advanced topics include how to develop, implement, and maintain the hardware and software tools needed to make efficient and effective use of big data including databases, data marts, data warehouses, machine learning, and analytic programming. State-of-the-art analytical software will be used in all courses. The culmination of this program is a three-month capstone project where real data from sponsoring organizations or publicly available data will be used to solve specialized problems in analytical database design, programming, implementation, or optimization. <br><br>The Specialization in Health & Life Science Analytics is designed to provide students with a practical learning experience through application of statistical methods to solve real-life health and life science analytics problems. The goal of this specialization is to prepare students for careers in health analytics and the pharmaceutical industry. To address the spectrum of issues in health and life science analytics, this curriculum has been designed to include specialized courses in analytic topics relative to the health and clinical fields. Topics include analytical and predictive modeling, data acquisition, data mining, health care information management systems, epidemiology, health management, clinical research, clinical trials, health outcomes research, teamwork, and communication. Additionally, team projects are conducted using real data from sponsoring organizations or publicly available data. Previous academic or industrial experience in such areas as statistics, computer programming, engineering, epidemiology, health care, clinical trials, or science are helpful prerequisites for this MS program. This degree is appropriate for both experienced professionals as well as recent college graduates.
展开