数据分析理学硕士
Master of Science in Data Analytics

学历文凭
Masters Degree

专业院系
数据库管理

开学时间

课程时长

课程学费

国际学生入学条件
Required Degree - Bachelor's Degree from an accredited college or university in the United States or have proof of equivalent training at a foreign institution.
Minimum GPA - 3.0 (on a 4.0 scale) Departments may consider GPA of last 60 semester credit hours. Otherwise qualified individuals with a GPA below 3.0 may still be eligible for admission consideration.
Coursework - 18 credit hours in an area related to this graduate degree and at least 12 hours must be at the upper-division level.
Transcripts - Required from all institutions attended, international transcripts must be recorded/translated to English
Credential Evaluation - Required if you have earned university-level credit from foreign institutions. Submit an evaluation of your transcripts from Educational Credential Evaluators (ECE) directly from the graduate admission application platform
GRE/GMAT - 23-24 App: Scores are currently waived for this program through the 2023-24 academic year, 24-25 App: Not required
English Language Proficiency - 550 TOEFL Paper / 79 TOEFL Internet / 6.5 IELTS
Purpose Statement - Required
Resume - Required
Letters of Recommendation - Optional - 2 letters academic or professional reference(s) demonstrating your attributes for successful completion of this program (you will request these through the Graduate Admissions Application, let your recommenders know of your deadline to ensure submissions are on time)
Minimum GPA - 3.0 (on a 4.0 scale) Departments may consider GPA of last 60 semester credit hours. Otherwise qualified individuals with a GPA below 3.0 may still be eligible for admission consideration.
Coursework - 18 credit hours in an area related to this graduate degree and at least 12 hours must be at the upper-division level.
Transcripts - Required from all institutions attended, international transcripts must be recorded/translated to English
Credential Evaluation - Required if you have earned university-level credit from foreign institutions. Submit an evaluation of your transcripts from Educational Credential Evaluators (ECE) directly from the graduate admission application platform
GRE/GMAT - 23-24 App: Scores are currently waived for this program through the 2023-24 academic year, 24-25 App: Not required
English Language Proficiency - 550 TOEFL Paper / 79 TOEFL Internet / 6.5 IELTS
Purpose Statement - Required
Resume - Required
Letters of Recommendation - Optional - 2 letters academic or professional reference(s) demonstrating your attributes for successful completion of this program (you will request these through the Graduate Admissions Application, let your recommenders know of your deadline to ensure submissions are on time)
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:79
- 托福笔试总分:550
- 其他语言考试:Duolingo - 100
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
该程序将帮助学生理解并适当地使用该领域中使用的数据分析算法,同时为学生提供获取,提取,转换,加载,处理,分析,利用,可视化和交流大量和类型的数据所需的技能。该计划将使毕业生能够将数据转换为相关信息,从而获得知识并做出更好的决策。此新程序旨在培养具有高技能和受过教育的数据科学家,这些科学家在定量分析方面拥有广泛的知识,并在目标应用领域(例如网络安全,数据科学管理,统计分析,生命科学和医疗保健管理以及更常规的业务分析)具有实践经验。对这些技能的需求很大,薪水很高。MSDA学生必须完成24小时的必修课程以及6小
Data is the foundation of every industry that utilizes technology. Organizations across the business spectrum are heavily reliant on Big Data and the need for strategic data analysts to interpret it. As Texas takes its place as an influential hub for emerging technology, graduates can enjoy a rewarding career in data analytics and explore paths in healthcare, business, national security, and beyond. The program prepares students to jump right into the workforce by encompassing a versatile combination of core competencies, including data analytics algorithms, predictive modeling, data architecture management, and analytical interpretation.<br>The Master of Science in Data Analytics (M.S.D.A.) program focuses on data science and big data based business intelligence-oriented analytics algorithms, tools, techniques, and technologies. The plan of study features cohort classes, with students participating in formal internships and practical projects in a wide variety of application areas, including, but not limited, to business analytics. The program, including admission, is supervised by the Graduate Program Committee in M.S.D.A. General requirements for completion of the program consist of required business courses.
Data is the foundation of every industry that utilizes technology. Organizations across the business spectrum are heavily reliant on Big Data and the need for strategic data analysts to interpret it. As Texas takes its place as an influential hub for emerging technology, graduates can enjoy a rewarding career in data analytics and explore paths in healthcare, business, national security, and beyond. The program prepares students to jump right into the workforce by encompassing a versatile combination of core competencies, including data analytics algorithms, predictive modeling, data architecture management, and analytical interpretation.<br>The Master of Science in Data Analytics (M.S.D.A.) program focuses on data science and big data based business intelligence-oriented analytics algorithms, tools, techniques, and technologies. The plan of study features cohort classes, with students participating in formal internships and practical projects in a wide variety of application areas, including, but not limited, to business analytics. The program, including admission, is supervised by the Graduate Program Committee in M.S.D.A. General requirements for completion of the program consist of required business courses.
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学校排名
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501
数据源:泰晤士高等教育世界大学排名
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