Master of Science (MSc) in Business Analytics

Overview
Course Content
Structure
Career Opportunities
Fees
Next Steps

Overview

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational, analytical and business strategy skills who can inform business decisions to increase efficiency and an organisation’s value. This Master of Science in Business Analytics has been developed with the aim of providing learners with the knowledge, skills and research capability to critically analyse, implement and evaluate big data concepts and techniques in order to generate valuable insights, thereby assisting with strategic business decisions, increasing productivity, profitability and an organisation’s value and market share.

Aims and Objectives

This new MSc in Business Analytics aims to provide learners with the theoretical knowledge and practical skills to critically analyse, evaluate and implement big data concepts and techniques in order to generate valuable business insights. These insights will inform strategic business decisions designed to increase productivity, profitability and an organisation’s value and market share.

It has been designed with an integrated delivery from end‐to‐end covering a wide range of business strategy, analytics and technology topics whilst providing a focus on application and the regulation required in this area. The programme focuses on theoretical and contextual knowledge in core areas such as statistics, decision theory, business strategy and finance while also offering applied practical skills in contemporary topics such as data analytics, visualisation, modelling, simulation and forecasting, project management, big data and business application development. Learners who complete the full Master in Business Analytics (including the 25 ECTS capstone Applied Research Project) will also develop and enhance their research capability through critical enquiry and detailed analytical problem solving.

Overall, the programme aims to create in learners a critical understanding of core business analytics and strategic business management, while also enhancing the research capability and practical technical skills of the learners.

The specific programme objectives are to:

Enable learners to develop in-depth knowledge and critical awareness of the current and developing business analytics field.
Provide learners with a deep and systematic understanding of research and analysis relating to business analytics.
Provide learners with specialised technical knowledge of the management of data and the mining of data to provide insights into business propositions/solutions/ strategy.
Equip learners with advanced skills directly complementary and relevant to the business analytics workplace.
Enable learners to identify, develop and apply detailed analytical, creative, problem-solving and research skills in business analytics.
Enable learners to develop and enhance autonomous learning skills.
Position learners with a comprehensive platform for career development, innovation and professional learning in the business management and data analysis field.

Overall, the programme aims to create in learners a critical understanding of core business analytics and strategic business management, while also enhancing the research capability and practical technical skills of the learners.

Entry Requirements

The minimum requirement for admission to this programme is a minimum second class Level 8 honours bachelor degree in a cognate area (e.g. computer science, IT, science, mathematics, statistics, finance, economics, business (including quantitative methods), maths and management information systems, OR a non-cognate Level 8 honours bachelors award with three to five years’ experience in analytics.

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. Further details regarding Non‐EU learners can be found in the DBS Quality Assurance Handbook (QAH). Find out more information on life as an international student at DBS.

Delivery

All learners are expected to attend in person in class.

Student Testimonial

"The MSc. in Business Analytics course curriculum was very diverse covering all new technologies like machine learning, python and R which you will not find in other institutions.

Lecturers not only gave us academic knowledge but kept us updated with current market needs and helped guide us with job hunts. Data Mining was my favorite module and professor Kundar Madan made it more exciting giving real life examples.

I will strongly recommend DBS because it has everything that can groom you well for a better future. Even during the lockdown e-library services helped a lot to gain additional knowledge. Use all the services provided like e-library, moodles and extra lectures to clear your doubt and queries and also participate in various activities which will groom you as great person overall.

I have to say my DBS experience was the best and will cherish it forever. I am already missing DBS❤. I was not very clear about my career prospects during the start of the course but now after attending various career guidance sessions and CV clinic sessions - I am quite confident."

Pratik Raorane
Master of Science in Business Analytics

Course Content

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

Stage 1	Stage 2	Stage 3
Requirements Analysis Programming for Analytics Applied Statistics and Machine Learning Business Strategy	Project Management for Business Analytics Financial and Business Analytics Data Mining Business Intelligence and Visualisation Applied Research Methods	Applied Project

Assessment Methods

The programme teaching and learning strategy is designed to allow the learner to progress through the theoretical and practical concepts in an orderly and logical fashion. The assessment strategy is planned to ensure practical application of the core principles of the module and facilitates feedback, which underpins the overall learning experience.

The overall assessment strategy of the programme is a mixture of practical individual and/or group - project bases - continuous assessment, and where appropriate a final examination.

The programme emphasises the development and evolution of the skills and attributes relevant to the contemporary workplace, and the programme’s assessment strategy reflects this clear objective.

Structure

Learners will complete the taught component of the Master in Science in Business Analytics which includes nine modules forming the core of the subject knowledge and practical skills provision with the tenth module synthesising and applying this knowledge in the capstone Research Project module. This programme and the progression of the modules, facilitates the learner in end-to-end learning, demonstrating critical thinking, relevant depth of knowledge, research capability and applying practical creative, problem solving skills. In the capstone applied research module, the learner then synthesises their learning in an area of focussed interest, critically analysing relevant literature, using suitable applied research methods and research design in the production of an artefact and written report appropriate to a Level 9 Science standard.

All learners are expected to attend in person in class.

Career Opportunities

On the basis of stakeholder feedback, the programme has been developed in order to provide learners with the skills and attributes employers in industry have identified as most desirable in the area of business or data analytics. The focus has been refined to develop modules that focus on the skills gap identified by prospective employers.

Respondents also saw prospective employers requiring a ‘hybrid’ of related skills sets, with students using the capstone Research Project module as an opportunity to research and specialise in a specific domain within the discipline.

Teamwork, problem solving and communication skills were constant themes, and respondents also emphasised the importance of project management, risk management, information technology, data analytics, business intelligence and decision modelling.

When asked what roles they would expect graduates of the programme to be able to apply for on completion of the programme various stakeholders identifies the following job titles:

● Project Design and Delivery

● Data Visualisation

● Business (Data) Analytics

● Business Intelligence

● Model Development

● Marketing Analytics

● HR Analytics

● Risk Analytics

Fees

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 also contact our admissions team who would be happy to discuss the options available for you.

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 (https://www.dbs.ie/terms-and-conditions) 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 Business 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. We have a number of upcoming online open events, click here to register for the next one.

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 Business 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 Business Analytics
Award Type: Major
Duration:
Full-time: 1 Year
Part-time: 2 Years
Next Intake:
September 2024