国际学生入学条件
Minimum entry requirements are a grade H5 and above in two higher level subjects together with a minimum of O6 in four other subjects. A minimum of grade H5 must be obtained in Mathematics. A minimum of grade O6 must be obtained in English.
Applicants from a PLC/further education course must meet the CAO points requirement, have a full level 5/6 award, and achieve three distinctions. One distinction must be held in one of the following modules: B20029 or C20139 or C20174 or C20175 or N33029 or 4N2138 or 5N0554 or 5N0556 or 5N16654 or 5N1833 or 5N18396 or 5N2066 or 6N3395 (or H5 in LC maths or NCI Maths Qualifying Exam).
QQI Level 5/6 Requirements
Students must obtain a minimum of 3 distinctions and a full award and meet the CAO points requirements to apply for this Level 8 course.
The CAO points for this course is 260.
IELTS - Undergraduate Computing and the Higher Diploma in Science in Computing - 6.0
TOEFL Internet Based - 60
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雅思考试总分
6.0
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雅思考试指南
- 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:PTE Academic - 50
CRICOS代码: NC025
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
NCI's BSc (Honours) in Data Science is practical in nature, providing you with knowledge of the way data science can solve real problems and facilitate business decisions based on evidence. Due to the shortage of suitably qualified data science professionals in Ireland and internationally, this degree offers exceptional job prospects for graduates.<br>Graduates of this course can apply data transformation, modelling, mining and machine learning techniques to analyse and derive new knowledge and insight from data, understand how to design and implement data science algorithms and applications that solve real-world problems, can effectively visualise and communicate the results of data analysis to support business decision making, and are able to adopt appropriate professional, ethical, legal, security and privacy principles in relation to data science solutions.<br>Graduates from the BSc (Honours) in Data Science go on to work with a variety of organisations including multinationals, financial services and professional services companies. Related data science roles include data scientist, business intelligence analyst, customer insight lead, risk analyst, knowledge engineer, and data programmer.<br><br>Duration: 4 years
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