Springboard+ Diploma in Big Data for Business

Springboard+ Diploma in Big Data for Business

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Eligibility
  • Next Steps
  • Apply
Springboard Logo Diploma in Big Data for Business    

Overview

The programme aims to respond to the ever-growing demand across industries for data specialists involving skills in technology, business insights, and data management with related context considered to be effective means to empower the development of business decisions. Additionally, the programme learning outcomes focus on the learner’s ability to meet requirements and deliver against the business intelligence goals of organisations they will work in and allow for all of these outcomes to be demonstrated from an academic perspective but also have a portfolio piece of work that can be shared with current or prospective employers. 

The programme also aims to incorporate practical and transversal skills in each module to enhance learners’ employability. This will enable the learner to integrate seamlessly into an organisation by addressing skills such as leadership, problem-solving, critical thinking, negotiation and the ability to work as a team with people at all levels within an organisation and individually whilst meeting tight deadlines.

The Diploma in Big Data for Business programme objectives are:

  1. To develop knowledge of big data tools and technologies in the context of the strategic direction of a business.

  2. To bridge the gap between technical concepts and business applications of big data and analytics techniques.

  3. To provide participants with a thorough understanding of the key technical aspects of big data and analytics technologies.

  4. To focus participants on the business and management applications, substantiating how big data and analytics techniques can create business value.

Delivery

Delivery of this module is offered on a hybrid basis and includes face-to-face, online and on-demand delivery.

Teaching and Assessment

DBS is committed to providing a flexible, active, peer-led, experiential and reflective learning environment for learners. As a result, throughout this programme, learners will experience a varied range of teaching and learning strategies, which have been selectively chosen and based on module content and suitability to assessment. While modules will be delivered through a mix of workshops, practical sessions, tutorials and lectures, teaching and learning will focus on the learner applying problem-solving skills and undertaking critical reflection and critique of case studies. The material will be presented during lectures and workshops with supporting material available via Moodle, DBS’s virtual learning environment. Learning, teaching and assessment for this programme, therefore, encourages learners to develop critical thinking, creative problem solving and analytical and evaluative skills relating to real-world scenarios. 

Student Testimonial

"I studied previously at DBS. I completed an Advanced Diploma in project management. I was familiar with the campus and the springboard course I wanted to do - DBS satisfied the course material I was looking for. Definitely a smaller institution appeals to me.

The programme was well structured and very much hit the ground running. A wide variety of modules. It was a great opportunity to meet like-minded individuals who were starting out on their data journey. A great mix of students from various backgrounds and experiences

I would have liked to have done more of the extracurricular activities. The DBS careers hub organised some great talks - I attended a few of those. Very interesting material and topics discussed. The supports are there to help, make use of them!                

I feel confident I can use my diploma to advance where I want to get to; a Data Analyst role in Tech or Pharma."



David Harrington
Diploma in Big Data for Business 

Springboard Logo 


 *Eligibility and entry requirements apply.



Course Content

 

Module No.

Module Name

ECTS

Semester

Year 1

1

Maths and Statistics for Business

10

PT 1

2

Project Management for Big Data

10

PT 1

3

Information Systems for Business

10

PT 2

4

Data Visualisation and Big Data

10

PT 2

5

Databases

10

PT 3

6

Business Intelligence and Analysis

5

PT 3

 

The MIPLOs for this programme are:

MIPLO1

Apply appropriate methods and tools to acquire and manage large data sets from a variety of  sources.

MIPLO2

Utilise best practice visualization techniques to effectively communicate (visualise) information from structured and unstructured data sets.

MIPLO3

Develop practical solutions to a variety of business problems using current data analytical techniques

MIPLO4

Apply a range of key transversal skills and proficiencies essential to support progression to a career in business or to further study.

MIPLO5

Evidence problem-solving skills to address real-world problems through the applied knowledge of contemporary big data skills.

MIPLO6

Interpret models and methodologies into unfamiliar situations in order to devise effective data-driven solutions appropriate for strategic intelligence recommendations.

MIPLO7

Appraise strategic solutions to business challenges, generating valuable business insights in groups or individually.

Learning and Assessment


Learning for this programme will be assessed in multiple ways, including individual and group assessments. A table outlining the various methods of assessment is provided below:


Module Name

ECTS

CA Component Breakdown

Individual

/ Group

Feedback

CA %

Maths and Statistics for Big Data

10

CA 1 Dataset analysis (50%)

CA 2 Hypothesis tests (50%)

Individual

Oral and

written

CA 100%

Project Management for Big Data

10

CA 1 Business Case Project Plan (50%)

CA 2 Report and Presentation (50%)

Group

Oral and

written

CA 100%

Information Systems for Business

10

CA 1 Data, Information &

Software Tools (50%)

CA 2 Database Modelling and Implementation (50%)

Individual

Oral and

written

CA 100%

Data Visualisation and Big Data

10

CA 1 Business Analysis &

Dashboard (50%)

CA 2 Business Analysis &

Dashboard (50%)

Group

Oral and

written

CA 100%

Databases

10

CA 1 Database Modelling (30%) CA 2 Advanced Database Building (70%)

Individual

Oral and

written

CA 100%

Business Intelligence and Analysis

10

CA 1 Design Practical Proposal (40%)

CA 2 Implement Practical

Proposal and Report (60%)

Individual

Group

Oral and

written

CA 100%









Springboard Logo

Structure

Semester one (PT) lays the groundwork for the programme and encompasses modules that focus on providing a solid and comprehensive understanding of the relevant concepts, a proficiency in the use of project management skills to plan to gather, analyse, process and visualise data and maths and statistics for big data. Learners develop advanced applied skills in essential areas such as statistical tools and techniques on complex data sets, while also offering theoretical knowledge of the business applications. 

Semester two (PT) builds on this by covering advanced modules in which the knowledge, understanding and skills acquired in the first semester can be employed. Semester two modules offer advanced and applied skills in topics such as Information systems, databases and data visualisation. 

In semester three (PT) the learners apply a variety of skills in practical modules of Databases and Business Intelligence and Analysis.

 

 




Springboard Logo 

Career Opportunities

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

  • Business Analysts

  • Data Governance Manager

  • Data warehouse architects

  • Data Analysts

  • Functional Managers

  • CIO's

  • Market Research Analysts





Springboard Logo 

Eligibility


People in the following categories are eligible to apply for courses in the 2022/23 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 Diploma in Big Data for Business, 1 year full-time programme, the following categories are eligible to apply:

 

People in Employment

Please note that those in employment, under the Springboard+ 2022/23 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 or 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 to your employer.

PROOF OF EMPLOYMENT DOCUMENTATION:

A copy of a most recent payslip

Fees: The fee for the Diploma in Big Data for Business is 4,500, of which you pay 10% = €450



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. Click here to fill out form.

It should be noted that acceptance onto a Springboard+ course does not confer any entitlement to DEASP payments or childcare supports.

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

 

The Unemployed

Applicants must be in receipt of any of the following social welfare payments:

  • Jobseekers Benefit

  • Jobseekers Allowance

  • One Parent Family

  • Disability Allowance

  • Qualified Adults of Working Age

  • Carers Allowance

  • Farm Assist/Fish Assist

  • Widow's, Widower's or Surviving Civil Partner's Contributory or Non-contributory Pension

  • Blind Pension

  • Deserted Wives Allowance 

Please Note:  Those signing for social insurance contribution credits are also eligible to apply.


PROOF OF UNEMPLOYED DOCUMENTATION:

Most recent copy receipt of payment of any of the above categories.

OR

A copy of a bank statement showing receipt of payments will suffice.  If this is provided, please ensure you redact your account number, BIC and IBAN but your name should remain visible.

Please Note:

There is no requirement to be in receipt of a payment for a particular period of time prior to the commencement of the programme. 

Participants in receipt of one of the above payments at the time the Springboard+ course commences, are eligible to apply for a place on that course.  However, providers will be required to give priority to applications from people who are long-term unemployed.

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

 

 

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 Diploma in Big Data for Business is €4,500, of which you pay 10% = €450




Previously Self-Employed and actively seeking employment

People participating in the Community Employment Scheme; the Rural Social Scheme; Tús or in receipt of the Back to Work Enterprise Allowance or the Short Term Enterprise Allowance may apply for Springboard+ and, with the approval of a Department of Social Protection Case Officer, take up a Springboard+ course.

PROOF OF PREVIOUSLY SELF-EMPLOYED DOCUMENTATION:

A letter/statement from Revenue confirming that the applicant is no longer trading or a similar letter from the applicants (former) accountant.

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

 

 

Covid-19 Pandemic Unemployment Payment (PUP)

Applicants in receipt of this payment are eligible to apply for this programme. It is, however, the responsibility of the applicant in receipt of a PUP payment to discuss retaining a DEASP payment with their case officer in their local INTREO office when their offer is accepted and before they complete first registration for the course through www.springboardcourses.ie

 

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.



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.








Springboard Logo


Next Steps


Application Procedure

Please 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 [email protected] or by telephone 01 417 7500.







Springboard Logo 


Categories:
  • 7
  • Part-Time
  • Information Technology
  • FREE* Springboard+ Programmes
  • Business & Management

Course overview

COURSE OVERVIEW 2022
Awarding Body: 
Quality & Qualifications Ireland (QQI)

QQI_Logo

Duration: 1 Academic Year  
Study Mode: 
Part-time / 2 evenings per week
Course Commencement Date:
September 2022
Award Level: Level 7 Special Purpose
ECTS Credits:
60
10% Contribution (if applicable): €450



Contact

We are now accepting applications for programmes taking place in 2022. Contact our admissions team for more information

Email: [email protected]
Phone: 01 417 7500
Opening times:
Monday to Friday: 8:45am to 5:15pm