Higher Diploma in Science in Data Analytics (1 Year Full-time) - Face to Face - [ICT Skills Conversion] [January 2019] Group 1

National College of Ireland (HDSDAJAN19A)
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

Skills Area

Information and communication (including ICT)

General Information
Contact

The Springboard Team

Email

springboard@ncirl.ie

Phone

1850 221 721

Address

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

Role

Springboard Projects Coordinator

Important Dates
Application Deadline

18/01/2019

Start Date

21/01/2019

End Date

31/12/2019

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. This amount must be paid in full no later than Friday 15th March 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 21st January 2019. Please see https://www.ncirl.ie/applicants for more detail. Please note that the scheme does not cover any allowance for books and materials.

Indicative Schedule:
Group 1 Monday, Wednesday, 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 for both groups - 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, may be 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 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 recentinstalled release of Mac OS or 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 to personal devices.

Long Description

Course Content

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
• Work Placement

Relevant Employment / Placement to 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

2017 graduates used the course to upskill or gain employment in roles such as 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 2017 graduates included KBC (Resource Planning Analyst), Citrix (Marketing BI Specialist), Analytic Partners (Associate Marketing Science Analyst), AIG Asset Management (Data Analyst), Aer Lingus (Retail Data Analyst), Version 1 (Associate Consultant), ESRI (DatabaseProgrammer).

Timetable Info

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

Indicative Schedule:
Group 1 Monday, Wednesday, 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

Delivery Location

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

Delivery Notes

Campus/Classroom

Admissions Contact Details
Instructor

The Springboard Team

Address

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

Phone

1850 221 721

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 incase some emails from springboard@ncirl.ie default to here instead. In addition, please ensure that you have only one email address registered for Springboard. The email address that you login to your Springboard account with must match the email address that you have on the Springboard application form. Please review the ‘General Tab’ on your application form where your personal information is held to confirm this. If the email address on the application form is different, you will need to be 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 January start.

1. Your current curriculum vitae:
The information on your CV should match the Application Form and it should be completely accurate with no unsupported additions. The Employer Name and Location needs be outlined for each job. If you were unemployed or travelling for a period of time this too needs to be included on your CV including the location(s) of where you resided during that time.

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. 1 passport sized photograph in JPEG format to be used on your student card (please do not send a copy of your passport or other ID)

6. Non-EU applicants will need to provide a copy of their GNIB card showing a Stamp 4 EUFAM

7. Verification of Status Required: In Employment - 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.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.

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