Higher Diploma in Science in Data Analytics | Part-Time

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

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Higher Diploma in Data Analytics

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Overview

The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The 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. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making.
 

 The objectives of the programme are to:

  • Develop learner’s criticality in order to analyse industry trends in Big Data.

  • Develop learners who are capable of performing robust, significant reports on the future orientation of the field of data analytics with specific emphasis on the problem domain.

  • Provide learners with a platform to develop the requisite technical and design skills required by industry and to deepen knowledge of statistical analysis and analytical models.

  • Enable learners to implement scalable Big Data applications.

  • Prepare learners to work effectively and collaboratively in the execution of common goals.

  • Provide work opportunities where learners can apply knowledge to a real-world situation.

Teaching and Assessment

This variety of learning approaches noted above can be offered including face-to-face, live online, recorded online, and directed e-learning. The experiential and practical nature of the programme is reflected in the most common learning approach in the program being lab-based lecturers and tutorials, together with classroom-based lecturers and tutorials.
 
Assessment will reflect the applied nature of the programme and will include a combination of ‘take-home’ assignments, skills-based assessments, practical lab tasks, projects, demonstrations and presentations in addition to conventional examinations.



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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Course Content

The Higher Diploma in Science in Data Analytics has the following content:

  • Advanced Analytics and Web Application

  • Applied Data Analytics

  • Big Data Managing and Processing

  • Data and Network Mining

  • Data Visualisation & Communications

  • Databases for Business Applications

  • Platforms for Data Analytics

  • Programming for Data Analytics

  • Project

  • Statistics for Data Analytics

     







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Structure

The Higher Diploma in Science in Data Analytics is a two year part-time programme.

Semester one lays the groundwork for the programme and encompasses mostly foundational modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of programming for data analytics and Statistics for Data Analytics and Databases and Business Application.

Semester two builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two also comprises an elective module of project or placement module, which focuses on applied skills.










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Career Opportunities

As the ICT sector continues to grow so too does the demand for skilled personnel  in this area.A target of delivering more than 47,000 graduates with high level ICT skills by 2022 has been set by the Government to meet Ireland's need for graduates in computing, electronic and electrical engineering.

Technology Skills 2022, Ireland's third ICT Skills Action Plan was launched in February 2020 by Minister for  Education and Skills Joe McHugh and Minister for Business, Enterprise and Innovation Heather Humphreys.

Roles types that may be suitable for graduates include:

  • Senior Data Analyst

  • Data Engineering and Analytics

  • Financial Analyst

  • Power BI Data Analyst

  • Consulting: Data Analyst

  • Lead Business Analyst








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Eligibility 

People in the following categories are eligible to apply for courses in the 2021/2022 academic year (subject to the applicant meeting all residency and nationality/visa requirements and any academic requirements).

Note: For Stamp 4 holders or Stamp 4 EU FAM, residency will be 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.

For the Higher Diploma in Science in Data Analytics, 2 year part-time programme, the following categories are eligible to apply:

People in Employment

Please note that those in employment, under the Springboard+ 2021/2022 initiative, 90% of the fees are covered by HEA and 10% of the fees are payable to the college for this category of applicants. The applicant must also meet the nationality / visa requirements and residency criteria i.e. they must be able to demonstrate that they have been ordinarily resident  in an EU / EEA / UK / Swiss state for at least three of the five years preceding their entry to the programme. Either the applicant of their employer can pay these fees. Should your employer be paying your fees, please contact us and we can forward you a company sponsorship form in order to invoice your employer.


PROOF OF EMPLOYMENT DOCUMENTATION
:

  • A copy of most recent payslip

Fees: The fee for the Higher Diploma in Science in Data Analytics is €7,250 of which you pay 10% = €725

Returners

Returners are those who are not in receipt of a payment from the Department of Social Protection, have previous history of employment but may require upskilling or reskilling to transition back to the workforce. Applicants must have been a homemaker or on other caring duties or economically dependent on a partner or spouse for a minimum period of 9 of the previous 12 months.

 

PROOF OF RETURNER DOCUMENTATION:

  • Applicants must swear a declaration before a Commissioner for Oaths attesting to their status. A form to complete this process is available here.

     

Fees: The fees for this programme are 100% fully funded under this category.

 

Self-Employed

Self employed applicants are eligible to apply:

PROOF OF SELF-EMPLOYED DOCUMENTATION:

  • A letter from their accountant or relevant documentation from Revenue showing that they are self-employed in Ireland would suffice.

     

Fees: The fee for the Higher Diploma in Science in Data Analytics is €7,250 of which you pay 10% = €725

 

People signing for Contribution Credits:

Applicants in this category are eligible to apply for this course, provided that they meet the nationality / visa requirement, the residency criteria and the course specific criteria as set out previously.

 

PROOF OF SIGNING FOR CONTRIBUTION CREDITS:

  • A letter from DSP (the Department of Social Protection) confirming your social protection status (signing for credits).

     

Fees: The fees for this programme are 100% fully funded under this category.

 

PLEASE NOTE:

These two-year part-time conversion courses are NOT open to those in receipt of Jobseekers-related payments or Covid-19 Pandemic Unemployment Payment (PUP).

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

 

Application Procedures

 

All applications must be submitted online via the Springboard+ website. Please note that the 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.


The following documents are required by DBS as part of the application process. When you apply through the Springboard+ website, a member of the DBS Admissions Team will be in touch in relation to requesting the following documents:


  • Academic Transcripts of results (this is a breakdown of each year, all the modules studied and all results achieved). If these transcripts are in a language other than English, we will require the originals together with official translated copies.

  • Proof of ID - Driver's Licence of Passport.

  • Proof of residency for all applicants for three of the last five years. This can be revenue documents, letter from DEASP office or letter from previous or current employer.

  • For Non-EU Applicants currently residing in Ireland, a copy of your Garda National Immigration Bureau (GNIB) Card or proof of residency is required to demonstrate that you have been residing in the EU for three of the last five years.

  • For applicants who do not hold the required qualification and are applying through APEL (Approved Prior Experiential Learning), a recently updated and detailed CV is required with education and work experience to date. In addition, a personal statement is required outlining your reasons for applying for the course and why you would be a suitable candidate. This should be in the format of a word document and have between 500 and 700 words.

  • For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL). This must be evidenced through a recognised English Language Test such as IELTS, Cambridge, PTE, Duolingo, or DBS English Placement Test. Test certificates must be dated within the last two years.

 

NOTE: If your eligibility status changes prior to commencing the course, you will need to contact the admissions office to assess are you still eligible to enrol on the programme. Failure to do this may result in you losing your place on the programme.










 

 Next Steps


Apply via our online application form.












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Course overview

COURSE OVERVIEW
2021 / 2022

Awarding Body: 
Quality & Qualifications Ireland (QQI)
Awarding Body | QQI
Duration:
2 Academic Years
Study Mode: 
Part-time: 2 evenings per week and Saturdays
Course Commencement Date:
September 2021
Award Level: 
Level 8 NFQ
Award Type: Major
ECTS Credits: 
60



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    Email: [email protected]
    Phone: 01 417 7500
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