Higher Diploma in Science in Data Analytics - Part-Time

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Eligibility
  • Next Steps
Springboard+ Logo Jpeg Springboard Partner Logos DBS

155

Overview

Dublin Business School in conjunction with Springboard+, Microsoft Ireland, their Partner Network and other relevant industry partners have developed an intensive Part-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.

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 Primary Honours Degree (Level 8) in a cognate discipline from a recognised third level institution or equivalent qualification. 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).

Candidates will ideally be able to demonstrate technical or mathematical problem solving skills as part of previous programme learning. Typically holders of more technical, numerate degrees are likely to gain a higher ranking in any order of merit in selection for the programme.

Typical disciplines which would fall into this category would be:

• Engineering

• Architecture

• Mathematics

• Physics

Some candidates will also have gained a Level 8 qualification in a programme with a significant IT component and/or significant numerate element. Such programmes vary greatly in mathematical and information technology content and assessment would be by detailed examination of subject content, assessments and syllabi. Typical programmes which would fall into this category could include:

• Management Information Systems

• Accounting

• Business

• Management

 

Springboard+ Logo Jpeg Springboard Partner Logos DBS

Course Content

This course will run over two academic years, with four semesters. 
Over these four semesters the 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. 

Springboard+ Logo Jpeg Springboard Partner Logos DBS

Structure

This programme aims to provide graduates with the aforementioned skills, knowledge and competences in the area of data analytics. 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. The programme will run over 2 academic years, 2 evenings per week with some weekends per semester. 

 

Springboard+ Logo Jpeg Springboard Partner Logos DBS

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 

Springboard+ Logo Jpeg Springboard Partner Logos DBS

Eligibility

For the one-year full-time ICT Conversion courses you may be eligible irrespective of your employment status (i.e. whether you are employed or unemployed) and regardless of whether you are in receipt of income support from the Department of Social Protection.

For the two year part-time ICT Conversion courses you may be eligible if you are employed. If you are unemployed and in receipt of a jobseekers payment (including Farm Assist and Qualified Adults of Working Age) you are not eligible for the two year ICT Conversion courses. However, if you are in receipt of other social protection payments, e.g. One Parent Family or Disability Allowance, you may be eligible for the two year part-time Conversion programmes.

Please also note the following new eligibility requirements for all Springboard+ 2017 courses:

Those who have completed a Springboard+ course within the past two years (i.e. graduated from a 2015 or 2016 Springboard+ call course ) are not eligible to apply in 2017 (unless the participant is seeking to progress their qualification level in the same discipline, e.g. Level 7 to Level 8). 
 
Participants who enrolled in more than one Springboard+ course since the inception of Springboard+ in 2011, and did not complete any course, are not eligible to apply in 2017. 
 
Participants who enrolled in just one course, since the inception of Springboard+ in 2011, but did not complete, are eligible to apply in 2017, but will be required to meet all eligibility criteria as outlined below.

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.

Springboard+ Logo Jpeg Springboard Partner Logos DBS

Next Steps

Apply online via the Springboard portal here

Categories:
  • FREE Springboard+ Programmes
  • Part-Time
  • FREE ICT Skills Programmes

Course overview

COURSE OVERVIEW 201​7

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI AWARD LOGO (1)
Duration: 
2 Academic Years, (September-May)
Study Mode: 
Part-time, 2 Evenings Per Week
Course Commenc​ement Date: 
​​​Autumn 2017
Award Level: 
Level 8 NFQ
Award Type: Major
ECTS Credits: 
60

  • Download brochure
  • Contact

    We are now accepting applications for programmes taking place in 2017. 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

    Related Information