Master of Science (MSc) in Data Analytics | Full-Time

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Eligibility and Fees
  • Next Steps
  • Apply
 Postgrad Skills Provision | DBS
MSc. Data Analytics 

Overview

With increased availability of information about customer preferences and actions, production processes and supply chains, there is growing recognition of the economic returns from the use of big data and analytics. The Government’s Action Plan for Jobs 2013 sets out seven ‘disruptive reforms’ being prioritised with major potential to have a significant impact on job creation, to support enterprises or where Ireland can profit from a natural advantage or opportunity that presents itself in the economy.

One of these goals is to make Ireland a leading country in Europe for big data. This programme accommodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused.

Either full time or part time, the programme is designed to facilitate learners with a statistics/computing/technology background who wish to upskill in this new and emerging area of Data Analytics. It will also be of interest to learners who have completed their undergraduate degree and wish to specialise in this area. It may be their preference to take the theory and practical modules only and not complete the dissertation. 

 Aims and Objectives

This is an innovative programme with an integrated delivery from end‐to‐end covering a wide range of data analytics topics. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform at postgraduate level in the areas of ICT /Data Analytics in a broad range of commercial, industrial and public sector environments. Graduates will have an in-depth knowledge of the practical and theoretical aspects of data analytics. The programme enables and supports learners in developing critical analytical skills and in applying theoretical concepts to the practice of data analytics.

The programme incorporates Personal & Professional Development (PPD) within modules to enhance the student’s employability, which will enable them to integrate seamlessly into an organisation by addressing skills such as leadership, self‐management and teamwork that are essential in the area of Data Analytics. It also comprises a Research Methods module integrated into the applied data analytics modules, focusing on literature review, research technique, and their application to real life situations, data sets and how applied research and entrepreneurship are linked. These modules will inform the learner’s Dissertation, which requires the production of an artefact.

The specific programme aims are as follows:

  • To enable learners to develop expert knowledge and analytical skills in current and developing areas of analysis statistics, and machine learning.

  • To provide learners with a deep and systematic knowledge of business and technical strategies for data analytics and the subsequent skills to implement solutions in these areas.

  • To facilitate the development by the learner of applied skills that are directly complementary and relevant to the workplace.

  • To identify and develop autonomous learning skills for the learner.

  • To develop in the learner a deep and systematic understanding of current issues of research and analysis

  • To enable the learner to identify, develop and apply detailed analytical, creative, problem solving and research skills.

  • Provide the learner with a comprehensive platform for career development, innovation and further study.

     

    Entry Requirements

    The minimum entry requirements for the MSc in Data Analytics are:

    A minimum Second Class Level 8 Honours Degree (2.2) in a cognate discipline from a recognised third level institution or equivalent. 

    In addition, for applicants whose first language is not English and who have not undertaken their undergraduate degree through English the following is required:

    The minimum requirement for a non-native English speaker is greater or equal to B2+ in the Common European Framework of Reference for Languages for admission. Non‐EU applicants, residents outside Ireland/EU, must apply directly to the International Admissions Office at DBS. 



Course Content

The Master of Science (MSc) in Data Analytics has the following content:

Stage 1

Stage 2

Programming for Data Analysis,Processing and Visualisation

Statistics for Data Analytics

Data Storage Solutions for Data Analytics

Data Mining

Machine Learning

Applied Research Process for Data Analytics

Data Visualisation

Dissertation

 

Assessment Methods

The MSc in Data Analytics is an academic programme informed by the clinical and academic experience of the lecturers. Assessment is approached creatively with a range of assessment strategies including essay writing, in-class presentation, graded group dissertation and examination, module depending.

Instructions and guidelines for all assessment are clearly communicated to students.



Structure

The programme is structured in two sequential stages. Stage 1 is a taught component, contributing 60 credits. Stage 2 is a supervised dissertation, contributing 30 credits. The dissertation provides students with the opportunity to critically review the literature in any part of the taught syllabus.

Full-time

For full-time students, the taught component consists of six modules. Successful completion of the taught component stage allows you to move on to the dissertation stage.

 




Career Opportunities

There is a global shortage of the skilled professionals required to fill direct high-end jobs in this area and the report, Assessing the Demand for Big Data and Analytics Skills, identifies measures to build up the Big Data and analytics talent pool in Ireland over the period up to 2020 in line with enterprise demand. The 21,000 potential job opportunities for skilled professionals could arise under the report’s high growth scenario, from both expansion and replacement demand in the period up to 2020 - comprising 3,630 for deep analytical roles and 17,470 for big data savvy roles.

Role types that may be suitable for graduates include:

Data Analysts/Engineers

Data Analytics Manager

Software Engineers

Hadoop Developers

 

 



Eligibility


People in the following categories are eligible to apply for courses on the Postgraduate Skills Provision 2020/2021 academic year (subject to the applicant meeting all residency and nationality/visa requirements and any academic requirements):


Recent Graduates

(Level 8 qualification holders 2020 Graduates) Please note that under the Postgraduate Skills Provision Initiative, 90% of the fees are funded by HEA and 10% of the fees are payable to the college for this category of applicants.

The fees for the full-time Master of Science (MSc) in Data Analytics is €8,900, of which you pay 10% = €890

Note: These fees must be paid prior to enrolling on your programme.

People in Employment / Previously Self-Employed

Please note that under the Postgraduate Skills Provision 2020/2021 Initiative, 90% of the fees are funded by HEA and 10% of the fees are payable to the college for this category of applicants. They may apply to all courses if they meet the nationality/visa requirement and residency criteria.

The fees for the full-time Master of Science (MSc) in Data Analytics is €8,900, of which you pay 10% = €890

Note: These fees must be paid prior to enrolling on your programme.



Returners

Returners are those who are not in receipt of a payment from the Department of Social Protection but who have been out of the work environment due to childcare or other caring obligations. Courses are fully funded for these applicants. They may apply to all courses if they meet the nationality/visa requirement and residency criteria.

  

Further Information

Applications are currently being accepted.  Due to the limited number of places available, early application is recommended.
Please submit your application via the Apply button on the selected course page

Should you require any further information please do not hesitate to contact the Admissions Office directly on (01) 4177500 or by email to admissions@dbs.ie
 
*Eligibility and entry requirements apply.



 

 Next Steps


Apply via our online application form.





Categories:
  • Postgraduate Programmes
  • Funded* Postgraduate Skills Provision
  • Information Technology
  • Funded* Postgraduate Skills Provision
  • Full-Time
  • 9

Course overview

COURSE OVERVIEW 2020

Awarding Body: 
Quality & Qualifications Ireland (QQI)
Awarding Body | QQI
Award: Masters Degree
NFQ Level: 
Level 9
Award Title: Master of Science (MSc) in Data Analytics
Award Type: Major
Duration: 
Full-time: 1 year



Contact

We are now accepting applications for programmes taking place in 2021. 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