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Institution / Dublin Business School

Data Analytics

Introduction
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.

QQI Level 8 graduates of the appropriate level from a cognate discipline. 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:
1. To enable learners to develop expert knowledge and analytical skills in current and developing areas of analysis statistics, and machine learning.

2. 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.

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

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

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

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

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

Programme 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.

Part-time
For part-time students, delivery of the programme is structured over four taught semesters. During each semester, students are typically required to attend lectures on two evenings per week and occasional weekend workshops.

The course has six key components:
1. Class room lectures
2. Case Based learning
3. Practical Skills Sessions
4. Workshops
5. Tutorials
6. Individual and Group work

Suited to: Suited to IT Graduates.

Entry requirements

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

- Eligible applicants must hold a related science/ technology/ computing/ engineering/ mathematics degree (Level 8, 2.2 or higher) granted by an institution recognised in the country where it operates. Additionally those with a primary degree and who have been working in a data analytics area for 3 years will be considered on a case-by-case basis. Applicants from a non-cognate background seeking entry based on relevant professional experience must demonstrate sufficient proficiency in maths.

- 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.

Duration

Full-time: 1 year
Part-time: 2 years

Careers or further progression

Careers
There is a global shortage of the skilled professionals required to fill direct highend 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

Further enquiries

Postgraduate Admissions Office,
Dublin Business School,
13/14 Aungier Street,
Dublin 2,
Ireland
T: +353 1 4177500
F: +353 1 4177543
E: admissions@dbs.ie

Subjects taught

Stage 1
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

Stage 2
Dissertation

Comment

Postgraduate School of Business and Law:
Built on a reputation of “Excellence through Learning”, the School of Business and Law prides itself on its ability to design and deliver programmes which are academically rigorous and innovative whilst ensuring they meet the demands of an ever changing global business community. The Postgraduate School of Business was launched on the strength of the College’s excellent reputation of delivering undergraduate business degrees. Opened in 1992 the School has expanded its suite of programmes to include Postgraduate Higher Diplomas, MSc and MBA across a variety of business disciplines including administration, marketing, HRM, business strategy, law, information technology and finance. As a student of Dublin Business School you will be a key participant and driver of your learning experience. You can expect to be constantly challenged and invited to participate in group discussion and presentations.

This is facilitated through our focus on individual attention to all our students. A key aspect of your development lies in the dedication of the faculty to your success. All faculty members are experienced tutors who are specialists in their chosen field. As well as being highly qualified academically, they also bring a wealth of industry experience to the classroom. Our tutors are actively engaged in consultancy and research and this feeds directly into your learning experience. With a dedicated postgraduate facility incorporating state-of-the-art classrooms, syndicate meeting rooms and a specialist library you will find yourself quickly becoming part of a community of likeminded people coming from diverse backgrounds which will further enhance both your academic and personal development during your time with us.

Assessment method

Assessment
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.

Enrolment and start dates

EU APPLICANTS
Applicants should complete the appropriate application form and submit it online or return it to the Postgraduate Admissions Office along with the following documentation:

- Academic Transcripts (original and official english translation where issued in another language). Applicants who have previously attended DBS do not need to provide this documentation

- Proof of Identification (birth certificate, drivers licence or passport)

- Detailed Curriculum Vitae

- Proof of English (i.e. IELTS, TOEFL or equivalent) where full-time study has been conducted in a language other than English or applicants whose first language is not English

- Academic/business references (ideally one academic and one business). These are not required for Business programmes

Please see programme content for any course specific additional application procedures and specific minimum entry requirements including English language if applicable.

In addition to the above, in the instance of Non-EU applicants who have residency in Ireland:

- A copy of your GNIB (Garda National Immigration Bureau) Card, work permit (if applicable) and passport

- The letter that was issued to you by the Department of Justice, Equality and Law Reform stating why you were provided with the above documentation.

Applications can be made online at www.dbs.ie or by contacting the Admissions Office for an application form.

For further information please contact:
The Postgraduate Admissions Office
Dublin Business School
13/14 Aungier Street,
Dublin 2
T: +353 1 4177500
F: +353 1 4177543
E: admissions@dbs.ie
W: www.dbs.ie

NON-EU Applicants:
Non-EU Applicants should complete the appropriate application form and return it to the Postgraduate Admissions Office along with the following documentation:

- Academic Transcripts (original and official english translation where issued in another language). Applicants who have previously attended DBS do not need to provide this documentation

- Proof of Identification (passport)

- Detailed Curriculum Vitae

- Proof of English (i.e. IELTS, TOEFL or equivalent) where full-time study has been conducted in a language other than English or applicants whose first language is not English

- Academic/business references (ideally one academic and one business). These are not required for Business programmes

- A copy of your GNIB (Garda National Immigration Bureau) card, work permit (if applicable)

Please see programme content for any course specific additional application procedures and specific minimum entry requirements.

Applications can be made online at www.dbs.ie or by contacting the International Admissions Office for an application form. For further information please contact:

The International Admissions Office
Dublin Business School
13/14 Aungier Street,
Dublin 2, Ireland
T: +353 1 4177500
F: +353 1 4177543
E: international@dbs.ie
W: www.dbs.ie

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