Higher Diploma in Science in Data Analytics [Full-Time] [September 2017]

Dublin Business School (BHD08DNL_1F09)
Key Programme Details
Award

QQI Level 8 Higher Diploma in Science in Data Analytics

NFQ Level

8 About NFQ

Delivery Method

Classroom - Daytime

Mode

1 Year Full Time

ECTS Credits

60

Skills Area

Information/Communications Technology

General Information
Contact

Springboard+ Admissions Department

Email

springboard@dbs.ie

Phone

01 4177500

Address

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

Important Dates
Application Deadline

10/2017

Start Date

09/2017

About this Course

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 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. 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.

The proposed 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 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. 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.

Career Opportunities

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.

Timetable Info

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.

Delivery Location

Dublin Business School
13/14 Aungier St
Dublin 2

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

RPL Information

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.