| Course Name |
Date Analytics |
| Course Provider |
National College of Ireland |
| Course Code |
113579 (Assigned by Qualifax. Not an official code) |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Higher Diploma (Level 8 NFQ)
More info...
|
Major |
QQI |
Level 8 NFQ |
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| Apply To |
Course provider |
| Attendance Options |
Part time, Evening, Online or Distance, Daytime, Weekend, Blended |
| Location (Districts) |
Dublin City Centre |
| Enrolment and Start Dates Comment |
Start Date: September 2022. |
| Application Date |
Application: Apply online at www.ncirl.ie |
| Application Weblink |
Web Page - Click Here |
| Duration |
Part-time Schedule:
Delivery:
Blended - Livestream with some Campus Stream classes, scheduled in advance.
1-Year Option:
Duration:
3 semesters delivered over 1 calendar year.
Indicative Schedule:
Three evenings per week, 18.00 - 22.00.
2-Year Option:
Duration:
4 semesters delivered over 2 calendar years.
Indicative Schedule:
Two nights a week, 18.00 – 22.00, and a number of Saturdays, 09.00 – 18.00.
Availability of options runs subject to numbers. |
| Course Fee |
€4,725. (Fees revised annually). Spread the cost with our direct debit plan. |
| Entry Requirements |
Expand+Applicants holding an honours degree (level 8 or equivalent) in any discipline will be considered. Candidates will ideally be able to demonstrate technical or mathematical problemsolving skills as part of previous course learning.
Typically, ho...
Hide-Applicants holding an honours degree (level 8 or equivalent) in any discipline will be considered. Candidates will ideally be able to demonstrate technical or mathematical problemsolving skills as part of previous course learning.
Typically, holders of more technical, numerate degrees are likely to gain a higher ranking in any order of merit in selection for the course.
For candidates who do not have a level 8 qualification the college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic entry requirements may be considered based on relevant work or other experience. Non-English-speaking applicants must demonstrate fluency in English evidenced by an IELTS academic score of at least 6.0 or equivalent.
Laptop Requirement
This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a laptop computer with a substantial hardware configuration. A suitable configuration is 6GB of RAM (8GB or more are recommended); a 64-bit x86 processor (Intel i5 or superior); 250+ GB of hard disk; WiFi card; and a recent installed release of Windows operating system. It is the responsibility of the student to ensure their laptop is functioning correctly and that they have full administrator rights to the machine. NCI IT cannot provide support for personal devices.
Some students may be able to avail of the Student Laptop Loan Scheme, subject to eligibility.
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| Course Content |
Expand+Course Description
The objective of this course is to provide you a broad combination of themes around data analytics that creates valuable insight and professional expertise. The programme has been designed and developed with industry experts t...
Hide-Course Description
The objective of this course is to provide you a broad combination of themes around data analytics that creates valuable insight and professional expertise. The programme has been designed and developed with industry experts to ensure that graduates develop core theoretical and practical skills in specialist areas such as Statistics, Business Intelligence, Data Governance, Databases, Programming and Machine Learning. This course will equip you to enter the world of data and business analytics.
Who is the course for?
This programme is suitable for non-technical professionals and college graduates from non-technical disciplines, those with numeracy skills who wish to work as data analysts, business analysts or to enter into management roles across a range of sectors. You do not need to have previously studied programming. However, given the timeframe and the amount of technical and statistical content, applicants should be prepared to commit fully to the course.
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| Subjects Taught |
• Statistics I
• Programming for Data Analytics
• Data Governance
• Statistics II
• Databases for Analytics
• Business Intelligence
• Machine Learning
• Project |
| Assessment Method |
The course will be assessed with a blend of continuous assessments and/or project work and exams. This varies between modules but typically assessment is split 60:40 between exams and continuous assessment. Please note that in some instances exams may take place in the daytime and at weekends. |
| Careers or Further Progression |
Award and Progression
Higher Diploma in Science in Data Analytics is awarded by QQI at level 8 on the National Framework of Qualifications. Students who successfully complete this course may be eligible to progress to a major award at level 9 on the NFQ. |
| Further Enquiries |
For Further Information Contact:
The Admissions Team
Telephone: 1800 221 721
Email: admissions@ncirl.ie
Web: www.ncirl.ie |
| Course Web Page |
Web Page - Click Here |
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