Higher Diploma in Science in Data Analytics - Full-Time

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Eligibility
  • Next Steps
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Overview 

Download the March 2019 timetable here. 

Dublin Business School in conjunction with Springboard+, Microsoft Ireland, their Partner Network and other relevant industry partners have developed an intensive full-time Level 8 Graduate Conversion programme leading to a Higher Diploma in Science in Computing in Data Analytics award. Ireland is likely to face an average increase in demand for high-level ICT skills of around 5% a year out to 2018 with the employment of ICT professionals anticipated to rise to just over 91,000.  

The Higher Diploma in Science in Data Analytics will provide graduates with the theoretical and practical skills required to meet the demands of industry. The proposed programme will enable learners to apply those transferable skills developed as part of their original degree to specific IT and Data Analytics areas. The current and projected skills shortages are increasing the demand for graduates with a skillset that embeds new technologies with existing established core computing skills. Use and implementation of technologies are changing fast and therefore so are the demand for specific technology skills. A strong core technology education will form a good basis upon which skills in the current and future cutting edge technologies can be built.

This programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT/Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Graduates will have a clear understanding of the practical and theoretical foundations of data analytics. The programme enables and supports learners in developing critical analytical skills and developing skills in applying theoretical concepts to the practice of data analytics.

Specific skills include the skills to develop, implement and maintain the hardware and software required to make use of data analytics including Big Data. THE EGFSN report, "Assessing the demand for Big Data and Analytics Skills, 2013-2020" forecasts a continuing strong demand for data analytics across the economy over the period 2015-2020 and estimates that Ireland has the potential to create between 12750 and 21000 job vacancies by 2020.

In addition, a feature of the programme is the opportunity for the learner to engage in an industry related work placement if suitable. The placement provides the participants to apply and demonstrate the learning and skills that have been developed in the taught element of the programme. This element provides learners with relevant work experience with an industry partner for a minimum period of three months. In addition to acquiring new skills, learners will apply and reinforce the knowledge and practical skills they have acquired during the taught element of the programme. 


Specific skills that the proposed programme is preparing participants for include:

• Demonstrate a detailed knowledge and understanding of the methods and technologies for acquiring, interpreting and analysing big data

• Have knowledge of relevant statistical, mathematical and business tools employed to solve problems involving big data sets

• To be able to formulate and test hypotheses and experiments in the field of data analytics

• Critically interpret data analytical skills and technologies with a view to application in new circumstances

• Apply the scientific enquiry method to solve problems related to the data science field

• Act effectively both as an individual and a team member in a supervised work environment demonstrating technical and social proficiency in the manipulation of materials and the use of appropriate technologies

People with skills that marry business acumen, with the technical aspects of data analytics will be in high demand across industry sectors.

The programme is designed to embed various transferable skills across all modules. Skills such as teamwork, troubleshooting, communication, problem solving, reflective thinking and analytical reasoning are embedded throughout the programme. 

Entry Requirements

To be considered for admission to this programme, applicants must hold a Level 8 degree in a cognate discipline OR a Level 8 degree in a non-cognate discipline with 1-2 years professional experience in a related industry. Due to the mathematical nature of the content candidates will be required to show sufficient competency in mathematics.

In addition, an IELTS score of a minimum 6.0 or equivalent is required, where full-time study has been conducted in a language other than English or for applicants whose first language is not English. Applications without this will be considered on the basis of approved prior experience and learning (RPL).

Recognition of Prior Learning (RPL)

Learners may also access this course on the basis of recognition of prior learning or by assessment of prior experiential learning/informal learning. The process is implemented within the relevant school, by the relevant Head of School/Department or nominee, and is overseen by The Registrar. For this particular programme applicants will be considered on a case by case basis based upon their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme.

Corporate Services

Did you know? DBS would love to meet with you and your company to discuss the Springboard+ Government funded programmes initiative.

DBS offers a range of Springboard+ programmes designed to meet the skills need of employers and the country. These programmes could provide your employees with the relevant skills to grow and develop into the next few years and beyond.

For more information on this new service or to arrange a meeting, please contact our Corporate Services Team on admissions@dbs.ie or by telephone 01 417 7500.

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Course Content

Course content will include:

• Databases and business applications 

• Programming essentials 

• Statistics for data analytics 

• Data warehousing and business intelligence

• Programming for big data  

• Tools for data analytics

Participants are equipped to take data visualization and communications, data and web mining, advanced data analytics. Upon completion of the above students will complete an industry based credit bearing project.

The overall aim of the programme is to provide graduates with the underpinning academic knowledge to enhance their educational and employment opportunities and to achieve the award of a Higher Diploma in Science in Computing in Data Analytics.

Personal Development Programme

To complement the academic programme, learners will follow a skills based Personal Development Programme (PDP).The programme has been designed in collaboration with industry to ensure that graduates are able to demonstrate the personal skills and aptitudes employers have highlighted as requirements and to assist graduates of the programme to integrate effectively into the work place. The PDP will be delivered across all four semesters. 

Teaching & Assessment

DBS teaching and learning strategies are intended to facilitate students to take ownership of, and responsibility for, their own learning in partnership with the academic faculty.  A wide range of teaching and learning methods are used in the programme to ensure all learning styles are accommodated. Methods will include formal lectures, seminars, workshops, lab tutorials, on-line video demonstrations, and presentations that will emphasise student participation and application to case studies and relevant computing and business issues.  

The focus of the programme is on the application of learning to the real-life environment and therefore a significant proportion of this programme is computer based. Learners will be required to practice taught skills and elements of the course via self-directed learning. Intellectual skills are developed through project work, tutorial work and coursework assignments. 

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Structure

The course duration is one Academic Year. There is a three month work placement within the year long programme. 

 

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Career Opportunities

There is a global shortage of the skilled professionals required to fill direct high-end jobs in this area and the report, Assessing The Demand For Big Data And Analytics Skills, identifies measures to build up the Big Data and analytics talent pool in Ireland over the period up to 2020 in line with enterprise demand.

The 21,000 potential job opportunities for skilled professionals could arise under the report’s high growth scenario, from both expansion and replacement demand in the period up to 2020 - comprising 3,630 for deep analytical roles and 17,470 for big data savvy roles. 

Role types that may be suitable for graduates include: 

Data Analysts/Engineers 

Data Analytics Manager 

Software Engineers 

Hadoop Developers 

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Eligibility

People in the following categories are eligible to apply for courses in the 2018/19 academic year (subject to the applicant meeting all residency and nationality/visa requirements and any academic requirements):

*Graduates

This course is FREE to all graduates who are not in employment. Whether you are in receipt of Social Welfare or not, this programme is completely free of charge once you are not working (subject to the applicant meeting all residency and nationality/visa requirements and any academic requirements).

Returners (Formerly referred to as Homemakers)

Courses are FREE for these applicants. They may apply to all courses if they meet the nationality/visa requirement and residency criteria. Course specific criteria may also apply.

The unemployed or formerly self-employed

People in receipt of social welfare payments can apply for this full-time programme, however, If you are in receipt of social welfare payments for less than 9 months we advise you check with your social welfare case worker if your payments will be affected if you study this full-time course. 

People in employment

Please note that under the Springboard+ 2018/19 initiative, 90% of the fees are covered by HEA and 10% of the fees are payable to the college for this category of applicants. They may apply to all courses if they meet the nationality/visa requirement and residency criteria. These fees can be paid by either the applicant or their employer, should the employer sponsor the applicant. Should you require a company sponsorship form for invoicing please let us know.

Therefore the below fees will be applied to your application, should your application be successful, for this course:

Higher Diploma in Science in Data Analytics - Full-time - Course fee is €7,250, of which you pay 10% = €725

NOTE: These fees must be paid prior to enrolling on your Springboard+ programme.

All applications must be submitted online via the Springboard+ website. Please note that documentation supporting the applicants status will be required as part of the application process.

Please visit the Springboard+ website for further information on participant eligibility and funding eligibility requirements.

Apply online via the Springboard portal.

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Next Steps

Apply online via the Springboard portal here

Corporate Services

Did you know? DBS now can meet with you and your company to discuss the Springboard+ Government funded programmes, to see if it could work as a learning & development solution for your organisation.

This is ideal for any size organisation in any industry based in Dublin and the surrounding counties, that may want to invest in employees' professional development.

For more information on this new service or to arrange a meeting, please contact our Corporate Services Team on admissions@dbs.ie or by telephone 01 417 7500.

Categories:
  • Full-Time
  • FREE* Springboard+ Programmes
  • FREE* ICT Skills Programmes

Course overview

COURSE OVERVIEW 2019

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI AWARD LOGO (1)
Duration:
1 Academic Year
Study Mode:
Full-time
Course Commencement Date: 
March 2019
Award Level: 
Level 8 NFQ
Award Type: Major
ECTS Credits: 
60

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  • Contact

    We are now accepting applications for programmes taking place in 2019. Contact our admissions team for more information

    Email: admissions@dbs.ie
    Phone: 01 417 7500
    Opening times:
    Monday to Friday: 8:45am to 5:15pm

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