Higher Diploma in Science in Data Analytics [2 Years Part Time - Friday & Saturday] [March 2018]

Dublin Business School (BHD08DNW_1P03)
Key Programme Details
Award

QQI Level 8 Higher Diploma in Science in Data Analytics

NFQ Level

8 About NFQ

Delivery Method

Classroom - Evening

Mode

2 Years Part Time

ECTS Credits

60

Skills Area

Information/Communications Technology

General Information
Contact

Admissions office

Email

admissions@dbs.ie

Phone

01 1 417 7500

Address

13/14 Aungier Street,
Dublin 2,
Ireland.

Important Dates
Application Deadline

06/04/2018

Start Date

26/03/2018

About this Course

Dublin Business School in conjunction with 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 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.

This programme is option 2​: Duration 18 months​ -Friday evenings and Saturdays​ (10am-4pm)​ .

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. 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.

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 on their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme.

Long Description

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 part-time learner to engage in an industry related project if in employment already. The project provides the participant 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.

Typically students will attend two evenings per week and some Saturday attendance is required per semester.

Career Opportunities

Role types that may be suitable for graduates include:

Data Analysts/Engineers

Data Analytics Manager

Software Engineers

Hadoop Developers

Timetable Info

This programme is option 2​: Duration 18 months​ -Friday evenings and Saturdays​ (10am-4pm)​ .

Delivery Location

Campus/Classroom

Delivery Notes

Campus/Classroom

Admissions Contact Details
Instructor

Admissions Office

Address

Admissions Office,
Dublin Business School,
13/14 Aungier Street,
Dublin 2.

Phone

01 4177500

Email

springboard@dbs.ie