Master of Science (MSc) in Data Analytics

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Fees
  • Next Steps




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.


Programme Objectives

The specific programme objectives are to:

  • 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.


This is a multimodal programme. Learners are therefore timetabled to be in class or online. They will also have mandatory on demand content as contact hours that they can do in their own time and place.

Entry Requirements

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

A Level 8 honours bachelor's degree with a minimum second-class second-division (2.2) award or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline. 

A Level 8 Higher Diploma within a minimum 2.2 or above in a cognate area. Cognate subjects include computer science, data science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline. 

A Level 8 honours bachelor's degree with a minimum 2.2 or above in a non-cognate area plus 3-5 years' professional experience in a related field. Learners can also access this programme through RPL. Such applicants will be assessed on a case-by-case basis. 

Due to the mathematical nature of the content, candidates will be required to show sufficient competency in mathematics, based on prior learning or professional experience. This can be further defined as a module of mathematics/mathematics and statistics equivalent to a minimum of 10 ECTS in their primary degree. This knowledge/qualification should be acquired within the last ten years from the date of qualification.

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.

Student Testimonial

“I chose DBS from the encouraging testimonies/reviews from previous students of DBS and recommendations across personal surveys. It was easy to get in contact with staff and lectures for assistance.

From doing my masters, I feel very confident in my abilities to become a tenured analyst for a major consulting firm. I have made major connections on LinkedIn which has been very supportive to my career prospects. Due to COVID-19 my classes were mostly online, which actually helped me with the transition from working physically in the office to working from home with my job.”

Kenneth Ofoegbu
Master of Science (MSc.) in Data Analytics


This programme is currently undergoing programmatic review

Course Content

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

 Module Name
 Programming for Data Analysis  Semester 1
 Statistics for Data Analytics  Semester 1
 Machine Learning & Pattern Recognition  Semester 1
 Advanced Data and Network Mining  Semester 2
 Data Storage Solutions for Data Analytics
 Semester 2
 Data Visualisation  Semester 2
 Applied Research Methods  Semester 2
 Applied Research Project  Semester 3


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.

This is a multimodal programme. Learners are therefore timetabled to be in class or online. They will also have mandatory on demand content as contact hours that they can do in their own time and place.



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






The course fees for the next academic year are €8,995 for one year, and €5,500 per annum for two years for EU students. This covers the cost of tuition, registration and examinations.

Click here to view international fees.  

Click here to view EU fees.

You can contact our Admissions Team who would be happy to discuss the options available for you.

Please note also that there is tax relief for Irish income tax payers at the standard rate of 20% on all fees exceeding €1,500 and up to €7,000. 

All QQI accredited programmes of education and training of 3 months or longer duration offered by Dublin Business School (DBS) are covered by arrangements under section 65 (4) (b) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby in the event that DBS ceases to provide the programme, for any reason, after learners have started on that programme, Kaplan Inc., as guarantor, will refund the moneys most recently paid by or for the learner.   More details are included in the terms and conditions of learner admission to DBS (httsp:// and on programme handbooks provided at induction.

Improve your employability

All of our postgraduate courses offer strong links with industry and the professional world and often carry accreditation from professional bodies. By choosing to study at postgraduate level, not only do you gain valuable skills and experience but you also demonstrate your determination to succeed in a chosen career. Far from being a postponement to employment, postgraduate study can help you progress further and faster in your chosen career. And, if you're not certain what direction you would like your future to take, further study can provide a secure and structured space to help you find out through exploring your strengths and interests.

Get your foot on the career ladder

A large number of our postgraduate programmes include a work placement option, giving you the opportunity to gain vocational experience, make valuable contacts and gain transferable skills. It is also worth considering that some postgraduate qualifications are essential requirements to getting on the career ladder.

Gain skills for success

During your undergraduate degree you will have developed a strong foundation of transferable skills. Postgraduate study will build on this base, giving you the opportunity to put these highly valuable skills in to practice. You will also gain invaluable practical working examples that you can go on to use at interview to set you apart from other candidates.

Visit Us

Open days are a great way to help you make your decision about DBS and learn more about the Master of Science (MSc) in Data Analytics. As well as experiencing our outstanding facilities, you'll have the opportunity to receive personalised advice from academics from your subject area, meet current postgraduate students and also have your questions answered on general subjects such as entry requirements, student support and the admissions process.

As this is an extremely specialised area of study advanced entry to any stage of the programme is not permitted.

Eligible applicants must hold a related science/technology/computing/business/finance degree (level 8, 2.2 or higher) granted by an institution recognised in the country where it operates. Advice on equivalence of overseas awards will be obtained from the NARIC Ireland and/or NARIC UK which provides advice on the academic recognition of a foreign qualification by comparing it, where possible, to a major award at a certain level on the Irish National Framework of Qualifications (NFQ).

Further Requirements are as follows:

  •  A completed application form

  • Primary source verified degrees and transcripts

  • Copies of any other supporting material, such as results of exams, honours, awards, etc.

  • Evidence of proficiency in English Language, in cases where the language of instruction during the undergraduate studies was not English.

  • If English is not the applicant’s first language, and s/he has not undertaken a previous degree taught in English, and has no mechanism of demonstrating their level of English, he or she must sit and obtain greater or equal to B2+ in the Common European Framework of Reference for Languages or an equivalent test and scores as approved by DBS.

  • Test certificates should be dated within the last two years to be considered valid.

  • Students must have access to a suitable computer and broadband access to the internet.

In the unlikely event that the programme is oversubscribed by qualified applicants at any time, places will be given to those who applied first.

Students with Disabilities

Dublin Business School welcomes students with disabilities onto the MSc in Data Analytics, but asks that they consider their future career in the area relative to the requirements of working in the area. The College employs a Disabilities Coordinator based in the Student Services Department and appropriate supports in relation to teaching and assessment are put in place. The Library also offers a wide range of supports to learners with disabilities.

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Course overview

Awarding Body: 
Quality & Qualifications Ireland (QQI)
Award: Masters Degree
NFQ Level: 
Level 9
Award Title: Master of Science (MSc) in Data Analytics
Award Type: Major
Full-time: 1 Year
Part-time: 2 Years
Next Intakes:

September 2024

Contact Us

We are now accepting applications for programmes taking place in 2024. Contact our admissions team for more information

Email: [email protected]
Phone: 01 417 7500
Opening times:
Monday to Friday
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