Higher Diploma in Data Analytics (1 Year Face to Face) (September 2019 Group 2 )

National College of Ireland (HDSDA_SEP2 )
Key Programme Details
Award

Higher Diploma in Science in Data Analytics

NFQ Level

8 About NFQ

Delivery Method

Classroom - Evening

Mode

Full Time

ECTS Credits

60

Department

School of Computing

General Information
Contact

The Springboard Team

Email

springboard@ncirl.ie

Phone

1850 221 721 (Option 4)

Address

Springboard Office,
National College of Ireland,
Mayor Street,
Dublin 1

Role

Springboard Projects Coordinator

Important Dates
Application Deadline

30/08/2019

Start Date

17/09/2019

End Date

31/08/2020

About this Course

Fees: A student contribution fee of €540 is applicable if you are in employment. No fees are applicable if you are unemployed and in receipt of an eligible DEASP payment. This amount must be paid in full no later than Friday 15th November 2019. If a student withdraws before the commencement of the course the full amount that they have paid is refundable. No refund will be processed once the student commences the course the week beginning 16th of September 2019. Please see https://www.ncirl.ie/NewStudents for more details. Please note that the scheme does not cover any allowance for books and materials.

Indicative Schedule: Group 2
Tuesday, Thursday & Friday 18:00 - 22:00 and number of Saturdays 09.00 - 18.00
Career Bridge will be delivered one day per week 17.00 start - day to be confirmed

The course will furnish students with skills to enter the world of data analytics through building a foundation of strong statistical knowledge, developing problem-solving skills for business analysis, and helping you understand and use business data to deliver better decision making. This higher diploma will give you technical skills in statistics, programming, database management and web mining in addition to business skills such as business analysis that will help you make an impact in a wide range of roles. Students undertaking this course will be exposed to a variety of programming languages/tools that may include ‘R’, Python, SPSS, Excel, Weka and RapidMiner.

The programme is particularly suitable for those with numeracy skills. 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 fully commit to the programme.

Objectives

As a graduate of this course you will be able to:
• Develop statistical skills to carry out effective data analyses using descriptive and inferential statistics within a business context
• Solve real business problems using generally accepted practices in the field of business analysis supported by the choice and application of appropriate data analysis tools
• Develop technical skills to process multiple datasets using relevant modelling, programming, data storage, and computational techniques
• Communicate effectively the results of data analysis to both technical and non-technical audience
• Apply analytical thinking techniques, communication, and interaction skills to support decision making and address business requirements
• Apply data-mining and knowledge discovery techniques to process datasets from multiple diverse data sources

Entry Requirements

Applicants holding an honours degree (level 8 or equivalent) in any discipline will be considered. Candidates will be able to demonstrate technical or mathematical skills as part of previous learning. Typically holders of more numerate degrees in areas like maths, engineering, architecture, physics or economics are likely to gain higher ranking in selection for the programme. Candidates with other level 8 honours degrees will also be considered and will need to be able to demonstrate technical or mathematical skills in addition to their level 8 qualification. 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, maybe considered based on relevant work or other experience.

Laptop Requirements
This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a portable computer (laptop/notebook) with a substantial hardware configuration. Its minimal suitable configuration is 8GB of RAM (16GB are recommended); a modern 64-bit x86 multi-core processor (Intel i5 or superior); 250+ GB of available space in hard disk; WiFi card; and a recent version of Ubuntu, macOS, or Windows.

Long Description

Semester 1
• Introduction to Data Analytics
• Business Analysis and Communication
• Business Data Analysis
• Programming for Big Data
• Career Bridge

Semester 2
• Data and Web Mining
• Advanced Business Data Analysis
• Data Visualisation
• Career Bridge

Semester 3
• Project
• Career Bridge

Relevant Employment/Placement can be undertaken within the course timeline, generally 2nd or 3rd semester or commenced within 3 months of course completion.

Why Choose This Course

The Career Bridge module is worked into each of the programme schedules. Assisting students develop and achieve their career goals is a core mission within the NCI Career Development & Employability Office (CDEO) who have won the AHECS “Excellence in Employability Award” for 2013, 2014, 2016 and 2018. These were awarded for the work undertaken with students completing skills conversion programmes. The Career Bridge module involves producing a career action plan and develops in students the ability to self-manage their careers, identify and apply for career opportunities, develop an online brand, network effectively and promote themselves at interview

Career Opportunities

2018 graduates used the course to upskill or gain employment in roles such as Risk Analyst, Operations Analyst, Data Architect, Retail Data Analyst, Data Analyst, Product Manager, Data Scientist, Billing Support Analyst, Marketing BI Specialist, Database Programmer. 82% of employed students changed role or company as a result of doing the course. Of the 14% of students who were unemployed, 73% secured employment within 3 months of completing the course.

Companies who hired NCI 2018 graduates included AON (Data Analyst), AIB (Data Analyst), Dropbox (Channel Operations Analyst), Electric Ireland (Trading & Pricing Risk Analyst), Slack (Revenue Operations Analyst), Expleo (QA Associate Graduate Programme), DAA (Data Analyst).

Timetable Info

1 Year, 3 semesters from September to December 2019, January to May 2020 and late May to August 2020.

Group 2
Indicative Schedule: Tuesday, Thursday & Friday 18.00 - 22.00 and a number of Saturdays 09.00 - 18.00
Career Bridge will be delivered one day per week 17.00 start - day to be confirmed.

While every effort is made to schedule exams for part-time students in the evenings or Saturdays this is not always possible and all students, Part-time and Full-time, are expected to sit end of semester examinations during the day and evening Monday to Saturday


*All start dates and schedules are indicative and can be subject to change unless otherwise stated*

Delivery Location

National College of Ireland, Mayor Street, IFSC, Dublin 1

Delivery Notes

Campus/Classroom

Admissions Contact Details
Contact Person

The Springboard Team

Address

Springboard Office,
National College of Ireland,
Mayor Street,
IFSC,
Dublin 1

Phone

1850 221 721 (Option 4)

Email

springboard@ncirl.ie

RPL Information

For candidates who do not have an honours degree 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. The Springboard Team will provide this form to you if you are required to fill it out

Application Procedures

ACTION ITEM: Throughout the application process please continue to check your Spam and Junk folders in your email account as emails from springboard@ncirl.ie can at times default to these folders instead. In addition, please ensure that you have only one email address registered with Springboard. The email address that you login to your Springboard account with must match the email address on your Springboard application form. If the email address on the application form is different, you will need to update it. Failure to do so will only cause confusion and as a result you may end up missing vital emails from the Springboard team in regards to your application. We also ask you to review the postal address that you have included on your application form and ensure that is up to date.

NEXT STEPS:
This supporting documentation must be uploaded to www.springboardcourses.ie along with your application or within a few days of having submitted your application to ensure that your application can be assessed for a September start.

1. Your current curriculum vitae:
Please provide an up to date CV. The Employer Name and Location needs be outlined for every job. If you were unemployed or travelling for a period of time this too needs to be included on your CV including the dates and location(s) of where you resided during that time. Any unexplained gaps will result in a delay in the processing of your Springboard+ application

2. Career Statement:
Please include a 300 word career statement detailing what has motivated you to undertake the programme and how the programme fits in with your career objectives. This statement is compulsory and must be course specific. It should clearly demonstrate that you have researched the course and have a broad understanding of the course you are applying for. Unless it refers explicitly to the course you are applying for it will not be accepted. Please also ensure that you have included your full name and the exact course title on the career statement.

3. Educational Transcripts for any relevant qualifications listed in your application form and the final certificates for any qualifications listed in your application form. Alternatively a Diploma Supplement will suffice if it contains a breakdown of all subjects taken for the duration of the course.

4. Candidates whose qualifications are in foreign languages - please ensure all documentation is provided in its original language. You must also have these documents officially translated into English by a professional, registered translation company. Translations done by you, the applicant, are not acceptable. There are a number of such companies here in Dublin 1 who will do this for you.

5. A copy of your current passport

6. Non-EU applicants will need to provide a copy of their GNIB card showing a Stamp 4 or Stamp 4 EU FAM . You will need to upload evidence of your first Stamp 4 Visa and your current Stamp 4.

7. Verification of Status Required:
Employed- please provide a recently dated letter from your current employer on headed paper, signed and dated.
Returner - Please provide a letter/statement signed by the Commissioner for Oaths confirming your current status. A form to complete the process is available here: https://springboardcourses.ie/pdfs/Declaration%20for%20Returners%20(2019).pdf
Department of Social Protection - Please provide a recently dated letter confirming that you are on the live register detailing which payment you are in receipt of (alternatively your most recent post office receipt will suffice) or a letter confirming that you are signing for social insurance contribution credits.
Previously Self Employed - A letter from your accountant or revenue confirming that your business is no longer trading.

This supporting documentation must be uploaded to www.springboardcourses.ie along with your application or within a few days of having submitted your application to ensure that your application can be assessed for a September start.

Further Documentation/Interview Requirements
Depending on your background you may be required to submit additional documentation and/or participate in an interview or logic test. The Course Director may also request to meet you in person for an informal interview to assess your suitability for the course. We will advise you in due course if any of the above applies to you.

English Language Requirements
Candidates whose first language is not English may also be required to sit the free NCI Academic Competency Test. Regardless of how long you have lived or worked in Ireland if you have not already successfully completed an academic course through English lasting at least one year and if you cannot provide a suitable IELTS or TOEFL test result you may need to do the NCI Academic Competency Test. We will advise you if this applies to you.

*Please note that once courses are at capacity they may close without warning*

Media
Studying Data Analytics at NCI: Frequently Asked Questions

FAQs on the Higher Diploma Versus the Postgrad

http://blog.ncirl.ie/studying-data-analytics-at-nci-frequently-asked-questions


Open Evenings

Open Evenings on Campus in NCI

https://www.ncirl.ie/Events