Data Analytics and Software Development (Higher Diploma) (Full-time) (September 2020)

University of Limerick (21HDDASDTFAD)
Key Programme Details
Award

Major

NFQ Level

Level 8 About NFQ

Delivery Method

Online, Blended

Mode

Full Time

ECTS Credits

63

Department

Computer Science and Information Systems (CSIS)

General Information
Contact

Ask for a Springboard+ Co-ordinator

Email

springboard@ul.ie

Phone

061 202605 or 061 234379

Address

Graduate and Professional Studies
University of Limerick
Limerick
V94 T9PX

Role

Springboard+ Coordinator

Important Dates
Application Deadline

23/07/2020

Start Date

28/09/2020

End Date

27/08/2021

About this Course

Applications for this course are closed since 23rd July. We are unable to accept any late applications for this course. Any applications received before the closing date will be contacted in the coming weeks with an update.

The Higher Diploma in Data Analytics and Software Development course is a fulltime programme for graduates of engineering or related technology disciplines. It will provide learners with fundamental theoretical and practical skills, abilities and knowledge to gain a comprehensive understanding of data analytics and software development closely aligned to current employer needs.

The programme has been designed in consultation with a number of technology businesses that are based in the west/mid-west regions (all part of the Limerick for IT group). Analog Devices, HP (Galway), Johnson & Johnson (Vistakon), DELL and General Motors have all been involved in the course design.

Given the current environment this course is planned to be delivered in line with the Universities strategy on dealing with the ever evolving COVID19 situation. Therefore this course will now be delivered in a full-time blended format for semester 1 at least.

For updates on the impact of COVID19 on course delivery please consult this section of the University of Limerick website:
https://www.ul.ie/covid-home


Please note we will need to correspond with you by email throughout the application process. For this reason, we ask that you regularly check your email and spam folders.

Objectives

The purpose of this fulltime course is to equip graduates with the skills necessary for careers in industry in the area of data analytics. Focusing on the higher level skills this programme will allow graduates to meet the needs of supporting infrastructure and technologies roles, as well as supporting the objective of increasing skills availability in the region as stated in the Action Plan for Jobs Mid West Region 2016.

Participants will gain a solid foundation in programming giving them the ability to identify design, code and construct systems to solve programming problems.

Students will be exposed to languages and systems commonly used in statistical environments including; SPSS, Minitab, R, Python, SQL, and CRISP-DM. In addition they will develop a sound understanding of statistics, information and data modelling, data analysis, and database systems.

This skill set will equip participants for roles not only in the manufacturing based companies that are the main partners in the development of this programme but also in a range of other sectors including services, finance and more general ICT roles.

Entry Requirements

A level 8 qualification (NFQ level 8 or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science or technology discipline.

Applicants from other disciplines who have a significant mathematics or computing element in their primary degree will also be considered.

Applicants must also satisfy the English Language Requirements of the University.

The University reserves the right to shortlist and interview applicants as deemed necessary.

Long Description

In industry today, there are vast amounts of data being generated from multiple IT business systems, manufacturing labs and equipment. Companies are typically reactive relying heavily on descriptive analytics for low to medium complexity problems.

In recent years however companies have ventured into more advanced analytics using multivariate analysis techniques and the latest big data technologies and are starting to see significant insights and gains. This has demonstrated the potential for using data to tap into new insights that will improve business by giving better information to control manufacturing process, which will in turn lead to improved process stability, increased outputs and yields and better cost management.

This programme provides a blend of advanced data modelling, statistical analysis and database design concepts that will provide participants with the skills to work alongside business Subject Matter Experts to fast track the use and adoption of advanced analytics techniques and solutions that will enable further performance improvements. An industry learning experience (work placement) will form a key element of the programme, ensuring the integration of the various concepts in the participant’s portfolio. Job readiness and support into employment will be provided through a series of workshops and seminars.

MODULES:
CS4012 REPRESENTATION AND MODELLING: An introduction to the skills and techniques of software modeling of social and economic scenarios
CS4004 SOFTWARE TESTING AND INSPECTION: To introduce students to software testing and inspection, test specifications and managing errors
CS4141 INTRODUCTION TO PROGRAMMING: To provide a introduction to programming using an industry-standard programming language
CS4416 DATABASE SYSTEMS: Foundations of the structure and application of relational databases and database management systems
CS4337-BIG DATA MANAGEMENT AND SECURITY: Introduce students to the challenges and practice in big data management and governance. The topics include overview of the Hadoop ecosystem, distributed file systems, big data programming models, scalable database systems solutions, data warehousing and big data security and protection.
CS4056 MOBILE APPLICATION DESIGN: Provides students with the skills and techniques for development of applications for mobile devices
CS4116 SOFTWARE DEVELOPMENT PROJECT: Students will work in teams to develop a standards-complaint web application project
CS4168 DATA MINING: Introduce the data mining process: data preparation, features, algorithms for analytics models
CS5061 ICT EMPLOYABILITY SKILLS WORKSHOP: Workshops focussing on the personal and professional skills essential for success in ICT employment (this module is subject to change)
CS6402 INTERMEDIATE PROGRAMMING: Real-world application of more advanced algorithms, data structures, and programming constructs
IE2011 INDUSTRY LEARNING PLACEMENT: An industry learning experience ensuring the integration and application of students' new skills. Takes place in the summer semester .(this module is subject to change)

Timetable Info

This is traditionally a fulltime course which is taught on campus. Given the current environment this course is planned to be delivered in line with the Universities strategy on dealing with the ever evolving COVID19 situation. Therefore this course will now be delivered in a fulltime blended format for semester 1 at least.

For updates on the impact of COVID19 on delivery please regularly consult this section of the University of Limerick website:
https://www.ul.ie/covid-home

Delivery Notes

Blended

Admissions Contact Details
Contact Person

Ask for a Springboard+ Coordinator

Address

Graduate and Professional Studies
University of Limerick
Limerick
V94 T9PX

Phone

061-202605 or 061 234379

Email

springboard@ul.ie

RPL Information

The University of Limerick operates a policy for the Recognition of Prior Learning, both formal and informal/experiential learning. Informal and experiential learning includes non-accredited personal and professional education; work based training and relevant life/work experiences. This learning is assessed initially for entry on to particular courses of study but may additionally lead to academic credits and exemptions from subjects on the intended course of study. Applications for RPL are dealt with on an individual basis, facilitated by representatives from the relevant academic departments and Registrar's office at the University of Limerick. RPL for Springboard+ 2020 will be managed by Graduate and Professional Studies as part of the application process. Graduate & Professional Studies provides support and assistance to guide the learner through their RPL application and in compiling their portfolio. The process is student centric, with consideration made on a case-by-case basis, through submitted documentation and communication with the application team and course director. The operation of the RPL policy has been applied successfully to previous cohorts. Academic and professional qualifications, work and life experience are important considerations in assessment, but motivation and overall potential for the selected course has been a major factor in evaluating applicants.

Application Procedures

APPLICATION TO A SPRINGBOARD+ COURSE WITH THE UNIVERSITY OF LIMERICK IS A 2 STEP PROCESS.

Step 1 is to submit your application on the Springboard+ website, you will then be sent a link via email to apply to the University of Limerick (UL) directly (this will be step 2). You must provide all documents requested on this email which must be uploaded with your application on the UL site. It is only when we receive ALL requested documents that your application is considered complete.

Note : It may take a few days after your application is updated to 'Pending' on the Springboard+ website for us to send you the link to apply to UL (step 2).

Please note we will need to correspond with you by email throughout the application process. For this reason, we ask that you regularly check your email and spam folders.

Required Documents for UL application:

Delays in receiving these documents will affect the progress of your application.

- Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.)
- Photo or Scanned copy of passport to verify ID and full legal name.
- Digital quality head and shoulders photograph.
- A copy of your most recent CV, please note that by providing this document you are agreeing that we may send it to members of industry if you require assistance when searching for an Industry Learning Placement (ILE) or project work (applies to some courses only).
- Proof of employment status (e.g. P60 for employed, DEASP proof for unemployed, sworn declaration for returner, revenue info for self-employed etc…)
- Copy of any Visa required under Springboard+ eligibility rules (see website)
- Applicants who do not have English as their first language may satisfy English Language requirements:
• If your qualifications have been obtained in a country where English is an official language this will suffice
If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
AND
• English language competency certificate


FEES - EMPLOYED APPLICANTS ONLY:

All employed participants must pay a contribution of the course cost directly to the provider for all level 7-9 courses. The onus is on the participant to arrange payment of this fee. The HEA will fund the remainder of the cost directly to the provider.

Employed participants will be required to make a 10% course contribution of €693 directly to the University of Limerick.

Springboard+ will pay all fees for unemployed and returner participants.

Course Acceptance:

In order to accept a course offer employed participants must pay a non-refundable acceptance fee of €250 to the University of Limerick. This €250 will be deducted from the contribution of €693 as outlined above. The full fees of €693 are due in two equal instalments which is €346.50. Once the €250 acceptance has been paid then the remaining fee for semester 1 of €96.50 is due by 4th September 2020. The remaining €346.50 is due by 15th January 2021.

In order to avail of Springboard+ funding you must provide written proof as outlined below:

NOTE: If your employment status changes during the application process it is your responsibility to inform a Springboard+ coordinator at UL and to provide proof of new status.

Unemployed
Written proof from the Department of Employment and Social Protection (DEASP) that you are in receipt of an eligible payment (see Springboard+ site).




Returners
Swear a declaration before a Commissioner for Oaths attesting to your status and provide written proof.

Employed/Self Employed
Provide a copy of most recent P60 or other relevant revenue documentation or a letter from their current employer to confirm employment or self-employment.

Formerly Self-Employed
Provide a letter/statement from Revenue stating that the applicant is no longer trading or a similar letter from the applicants (former) accountant should be sufficient. Swear a declaration, witnessed by a Commissioner of Oaths, stating that the applicant is no longer self-employed.

To be eligible for Springboard+ funding applicants must be resident in the state.

Please note you may be required to verify your Nationality and Residency status.

For Returners and Employed/Self-Employed applicants, the following rules apply :
- must be ordinarily resident in an EU/EEA/Swiss state for at least three of the five years preceding their entry to the programme.
** Note: The period of residency for holders of Stamp 4 or Stamp 4 EU FAM is calculated from the date of receipt of the Stamp 4.
Any period of residency in the state before this date will not be taken into consideration ( ie you must hold Stamp 4 for three of the five years preceding)