Data Analytics

Master of Science (MSc) in Data Analytics.

Overview
This Master of Science in Data Analytics has been designed to meet the growing need for graduates with data science skills in the light of increasing applications of new and existing technologies and techniques such as statistical analysis, machine learning and data visualisation across many industries throughout the global economy. Given the rapid growth in internet data usage, the shift to cloud computing, and the rate at which Irish businesses integrate data and analytics into their daily operations, Data Analytics is an identifiable discipline with a breadth and depth of content that encompasses many of the subfields (e.g. software development, machine learning, data visualisation that form the modern AI ecosystem).

The programme aims to respond to the ever-growing demand across industries for data analytics specialists involving skills in technology, programming for data analytics, data analysis with related context, graph technology considered to be effective means to empower the development of sophisticated AI applications. Additionally, the programme learning outcomes focus on the learner's ability to meet requirements and deliver against 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 to have a portfolio piece of work that can be shared with current or prospective employers.

Either full time or part time, the programme is designed to facilitate learners with computer science/data science/ technology/general science/ mathematics/statistics or related 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.

The specific programme aims are as follows:
• Enable learners to develop expert knowledge of current and developing analytics skills related to the development and use of analysis and statistics.
• 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.
• Facilitate the learner's ability to develop applied data analytics skills relevant to the workplace.
• Identify and develop autonomous learning skills appropriate to develop specialisms in the field of analytics.
• Develop in learners a deep and systematic understanding of current issues of research and analysis relating to the field of data analytics.
• Empower learners as they identify, develop and apply detailed analytical, creative, problem solving in research scenarios relating to data analytics.
• Provide the learner with a comprehensive platform for career development, innovation and further study related to the field of data analytics.
• Respond ethically and informatively to address any emerging trends and wicked problems that may arise due to the growing needs of industry.
• Apply advanced theoretical and methodological knowledge to address a problem domain related to the field of data analytics creating an applied solution.

Structure
The full-time programme will be delivered across three semesters comprised of twelve weeks each across nine months. In the part-time mode, the schedule consists of four semesters of twelve weeks across eighteen months.

Semester one 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 programming skills to gather, analyse, process and visualise data, statistics for data analytics and the application of pattern recognition in machine learning.

Semester two 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 data and network mining, databases and data storage, graph, data visualisation including foundations in linguistics, statistical analysis and applications.

Semester three includes an Applied Research Project.

In addition, the programme aims to incorporate advanced transversal skills in each module for the professional development of learners to enhance their employability options. This will enable the learner to integrate seamlessly into an organisation by addressing skills such as leadership, problem solving, teamwork, time management and academic writing that are essential for a Level 9 graduate.

The Master of Science (MSc) in Data Analytics has the following content:
Semester 1
• Programming for Data Analysis
• Statistics for Data Analytics
• Machine Learning & Pattern Recognition

Semester 2
• Advanced Data and Network Mining
• Data Storage Solutions for Data Analytics
• Data Visualisation
• Applied Research Methods

Semester 3
• Applied Research Project

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.

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

Email: admissions@dbs.ie
Phone: 01 417 7500

Opening times:
Monday to Friday
8:45 to 5:15

Application Information and Procedure
Masters Programmes 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 (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

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

Higher Diploma Programmes EU Applicants
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 need not provide this documentation
• Proof of Identification (drivers licence or passport)
• 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
• Detailed Curriculum Vitea
• Please see programme content for any course specific additional application procedures and specific minimum entry requirements.

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 programme 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

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

Career Opportunities
The rise in employment opportunities in the area of data science is a global trend. Data Science is set up as a priority area of focus in the discipline of ICT for 2018-2023 in particular in automation and digitalisation including Data Analytics, Management, Robotics and Artificial Intelligence (including Machine Learning), Digital Platforms, Content and Applications etc.

Graduates from Master of Science in Data Analytics programme have the potential to excel in roles such as Data Analyst, Data Scientist, AI Manager, IT Manager, Data Analytics Managers in a wide variety of industries.
Within the Data Analytics space, there is a diversity of jobs requiring various levels of expertise:

Core industry roles include:
• Data Analyst
• Business Analyst
• Data Engineer
• BI Analyst

Advanced roles include specialists in:
• Data Science
• Software / Python Developer