学历文凭
Masters Degree (Taught)
专业院系
信息系统
开学时间
课程时长
课程学费
国际学生入学条件
A Level 8 honours bachelor's degree with a minimum second-class second-division (2.2) award or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.
A Level 8 Higher Diploma within a minimum 2.2 or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.
A Level 8 honours bachelor's degree with a minimum 2.2 or above in a non-cognate area plus 3-5 years' professional experience in a related field. Learners can also access this programme through RPL. Such applicants will be assessed on a case-by-case basis.
For applicants whose first language is not English, the minimum English language requirement for entry to the programme is IELTS score 6.00
IDP—雅思考试联合主办方
雅思考试总分
6.0
了解更多
- 雅思总分:6
- 托福网考总分:60
- 托福笔试总分:160
- 其他语言考试:Duolingo English Test 105 (or equivalent)
课程简介
This Master of Science in Data Analytics has been designed to meet the growing need for graduates with data science skills in the light of increasing applications of new and existing technologies and techniques such as statistical analysis, machine learning and data visualisation across many industries throughout the global economy. Given the rapid growth in internet data usage, the shift to cloud computing, and the rate at which Irish businesses integrate data and analytics into their daily operations, Data Analytics is an identifiable discipline with a breadth and depth of content that encompasses many of the subfields (e.g. software development, machine learning, data visualisation that form the modern AI ecosystem).<br><br>The programme aims to respond to the ever-growing demand across industries for data analytics specialists involving skills in technology, programming for data analytics, data analysis with related context, graph technology considered to be effective means to empower the development of sophisticated AI applications. Additionally, the programme learning outcomes focus on the learner's ability to meet requirements and deliver against business intelligence goals of organisations they will work in and allow for all of these outcomes to be demonstrated from an academic perspective but also to have a portfolio piece of work that can be shared with current or prospective employers.<br><br>Either full time or part time, the programme is designed to facilitate learners with computer science/data science/ technology/general science/ mathematics/statistics or related background who wish to upskill in this new and emerging area of Data Analytics. It will also be of interest to learners who have completed their undergraduate degree and wish to specialise in this area.
相关申请
预科
奖学金
实习机会
在校学习
跨境学习
校园授课-线上开始
在线/远程学习
在线提交申请
请详细填写您的申请材料
本校相关课程
其他相关课程
利兹大学
考文垂大学
萨里大学
昆士兰大学
昆士兰大学
朴茨茅斯大学
热点资讯
成功故事