国际学生入学条件
In order to be considered for a place on this course, you must have passed a honours degree at minimum of 2:2 or equivalent. .
Students with a business or management degree will be considered, if there has been a substantial element of computing within the degree programme.
Students who do not hold the standard entry requirements may be considered for admission provided they can demonstrate that their qualifications and/or industrial experience are equivalent.
IELTS - 6.0 overall (with no band below 5.5) is required
TOEFL iBT - 80 (reading - 20, Listening - 18, Speaking - 21 and writing - 19)
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:80
- 托福笔试总分:160
- 其他语言考试:PTE-A Overall 52 Listening 49 Reading 54 Speaking 47 Writing 63
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
MSc大数据分析课程将为您提供有关数据挖掘,大数据管理和高级统计信息的见解。您将通过使用新兴数据分析领域前沿的工具和技术来开发深入的实践技能。您将使用它们来有效地建模复杂的组织需求并提出合适的解决方案。商业和计算机科学领域对大数据分析和管理的需求不断增长。对于公司而言,它可以提供有价值的见解,并提供诸如增加的市场份额,盈利能力,可能的成本节省和程序效率之类的结果。本课程将为您提供开发大数据工具和方法的必要技能,以推动现代全球组织和社会的创新和增长。
The MSc Big Data Analytics course will provide you with an insight into areas of data mining, big data management, and advanced statistics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics. You will use these to effectively model complex organisational requirements and propose suitable solutions.<br>The demand for big data analysis and management is continually increasing in business and computer science. For companies it can provide valuable insights, and results such as increased market share, profitability, possible cost savings and procedural efficiency. This course will equip you with the necessary skills to exploit big data tools and methods in order to drive innovation and growth in modern global organisations and society.<br>The learning activities on this Masters in Data Analytics degree are designed to encourage and facilitate your ability to gain employment and sustain a professional career in data analytics - by building your confidence and skills through hands-on experience and structured feedback. The course combines formal lectures and tutor-led workshops with independent study. You will develop key analytical and problem-solving skills, and will gain an aptitude for research, academic writing, and time management.<br>This course is suitable for undergraduates and those who have worked in the industry but do not have the recognised qualifications.<br><br>The school boasts graduates who have gone on to work for Hewlett Packard, Bell Micro, Birmingham City Council, BT, Cap Gemini, Cisco, Deloitte, Ericsson, Fujitsu, IBM, Intel Corporation, NHS, Motorola, National Express, NEC, Royal Mail, Shell IT, JP Morgan Chase and Co, Carillion plc, Siemens and Nokia and many more.
展开