Higher Diploma in Science in Data Analytics

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

Dublin Business School in conjunction with 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 provide graduates with the aforementioned skills, knowledge and competences in the area of data analytics. In semester 1, participants will undertake a broad immersive set of modules which includes databases and business applications, programming, statistics for data analytics, data warehousing and business intelligence, programming for big data and tools for data analytics. In semester 2,participants are equipped to take data visualization and communications, data and web mining, advanced data analytics and a 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 Data Analytics. In addition, a feature of the programme is the opportunity for the learner to engage in a work placement. This element provides learners with relevant work experience with an industry partner for a minimum period of three months. Students will be placed by DBS in a company for this time period. 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. 

Daytime attendance is required and there is also a three month credit bearing work placement as part of the programme.

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. 


All QQI accredited programmes of education and training of 3 months or longer duration offered by Dublin Business School (DBS) are covered by arrangements under section 65 (4) (b) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby in the event that DBS ceases to provide the programme, for any reason, after learners have started on that programme, Kaplan Inc., as guarantor, will refund the moneys most recently paid by or for the learner.   More details are included in the terms and conditions of learner admission to DBS (http://www.dbs.ie/terms-and-conditions) and on programme handbooks provided at induction.

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Course Content

In Semester 1, participants will undertake a broad immersive set of modules which include:

• Databases and business applications 

• Programming essentials 

• Statistics for data analytics 

• Data warehousing and business intelligence

• Programming for big data  

• Tools for data analytics

In Semester 2, participants are equipped to take data visualization and communications, data and web mining, advanced data analytics and a project.

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.  Upon successful completion of the taught element of the course, participants will enter the work placement element of the conversion programme. This element will enable students to gain relevant experience and furthermore will allow employers to field test potential recruits.

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. In addition to the accredited modules learners will be timetabled to participate in personal development activities. Learners will therefore gain the necessary additional applied skills in order to expedite their integration into the workplace.

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Structure

The programme is intentionally intensive in nature, with teaching and laboratory activities timetabled between 9.00am and 5.30pm five days per week to reflect the working week. Daytime attendance is required and there is also a three month credit bearing work placement as part of the programme.

 

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Career Opportunities

Upon completion of the programme, graduates would typically take up roles as: 

• Net Developer

•Web Developer

• Mobile App Developer

• Trainee Programme Analyst

• Project Support Engineer

• Technical Support Engineer

• Database designer and developer

• CRM Developer

• IT Consultant

DBS fully recognises the importance of job readiness to the ICT Skills programme participant and has put in place an integrated and comprehensive Personal and Professional Development Service for ICT participants entitled "Jump Start Your Career". This intensive programme covers every aspect of the job procurement process and has greatly assisted ICT skills programme participants with their job search activities and preparation for employment.

A suite of careers motivation, self-confidence and job ready workshops will be delivered and timetabled for programme participants. Additional sessions will be scheduled to include:
- CV Preparation, Interview Skills & Techniques & Job searching tools,
- One-to-One sessions,
- Individual coaching & feedback, Review of experience and progress & candidate/employment matching process.

Out of hours one-to-one consultations, with evening appointments, will also be offered to programme participants who are unable to attend during the day.

DBS will offer strong assessment processes and feedback tools to assist in one-to-one sessions in training on behavioural competencies style, career match aptitudes that will enhance significantly the career guidance, personal development, employer engagement and interview skills in order to maximize the work placement and employment opportunities. Significant emphasis will be placed on building communication and interpersonal confidence and skills to demonstrate participants values to employers. Each participant will have access to a careers coach/mentor to support the candidate/placement matching and placement process with potential employers.

DBS also has extensive engagement with industry and in addition to companies who have pledged interests of placements; it has over 1,150 employers on its database and active engagement with 2,727 DBS Alumni all of whom have engaged in the creation for placement/employment opportunities for ICT Students.

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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.

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.

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

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. 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.

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Next Steps

Apply online via the Springboard portal here

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

Course overview

COURSE OVERVIEW 2017

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI AWARD LOGO (1)
Duration: 
1​0 months incorporating ​3 month placement
Study Mode: 
Full-time
Course Commenc​ement Date: 
​​​Autumn 2017
Award Level: 
Level 8 NFQ
Award Type: Major
ECTS Credits: 
60

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    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