Master of Science (MSc) in Business Analytics

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

Overview

 
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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.

This is an interdisciplinary programme that focuses on business management, data analytics and computing. It is designed to appeal to graduates seeking to gain exposure to the technology and data-enabled business model.  The programme is constructed as a one year full-time or two year part-time programme of nine taught modules of 65 ECTS and a research project of 25 ECTS, leading to an award of Master of Science in Business Analytics.

Aims and Objectives

This new programme 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 of Science programme (including the 25 ECTS capstone research project) will also develop and enhance their research capability through critical enquiry and detailed analytical problem solving.

The specific programme objectives are to:

  1. Enable learners to develop in-depth knowledge and critical awareness of the current and developing business analytics field.

  2. Provide learners with a deep and systematic understanding of research and analysis relating to business analytics.

  3. Provide learners with specialised technical knowledge of the management of data and the mining of data to provide insights into business propositions/solutions/ strategy.

  4. Equip learners with advanced skills directly complementary and relevant to the business analytics workplace.

  5. Enable learners to identify, develop and apply detailed analytical, creative, problem-solving and research skills in business analytics. 

  6. Enable learners to develop and enhance autonomous learning skills.

  7. 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. 

 

Course Content

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

Stage 1

Stage 2

Programming for Analytics

Requirements Analysis and Software Engineering

Data Analytics and Machine Learning

Data Mining

Business Intelligence and Visualisation

Decision Modelling and Project Management

Financial and Business Analytics

Business Strategy

Research Methods

Research Project

 

Assessment Methods

The MSc in Business 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 work, research project and examination, module depending.

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


Structure

The programme is constructed as a one year full-time or two year part-time programme of nine taught modules of 65 ECTS and a research project of 25 ECTS, leading to an award of Master of Science in Business Analytics.


Full-time

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

 

 

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.

Fees

The course fees for the next academic year are €8,900 for one year, and €5,500 per annum for two years for EU students. This covers the cost of tuition, registration and examinations.

International course fees are €12,000 for the next academic year. 

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 (http://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.

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:

1. A completed application form

2. Primary source verified degrees and transcripts

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

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

5. 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.

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

7. 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

COURSE OVERVIEW 2019

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI AWARD LOGO (1)
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

Contact Us

We are now accepting applications for programmes taking place in 2019. 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