- Degree - Masters (Level 9 NFQ)
- Full time
- Part time
- Course provider
Enrolment and Start Dates Comment
Start date: September 2014
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1 year Full-time B154
2 years months Part-time B156
Link to Course Fee
A minimum second class honours primary degree (or equivalent) which includes quantitative techniques and somecomputer programming element. For example graduates of Engineering, Computer Science, other Sciences, Business studies (with MIS-Management Information Systems subjects), Maths or other quantitative courses who have already studied some computer programming content.
A student may be asked to undertake the GMAT or GRE at the Director's discretion.
Two completed academic reference forms from referees who can assess your maturity, motivation and intellectual ability. Part-time students can provide employer references. MSc Business Analytics Reference Form
(Note that graduates of UCD Lochlann Quinn School of Business are not required to submit the reference form).
English Language Requirements
If English is not your first language an English language qualification is required for admission to all of our courses. The exception to this rule is if you have completed your primary degree or an entire third level qualification through English, in an English speaking country.
An academic transcript is a document(s) provided by the academic institution where you undertake your studies. This is an official document which states all of the subjects you have undertaken during your studies and what grade you have achieved in each of those subjects, including your overall final grade if you have completed your qualification. Official or original academic transcripts are documents printed on the official headed paper of the institution where you studied and should be stamped by that institution. If this document is not in English you should arrange to have it translated.
The MSc in Business Analytics is designed to give participants knowledge of and experience with current quantitative analysis techniques. We'll teach you how to implement these quantitative techniques in a business problem-solving and project management environment.
This very particular Masters is especially suitable for graduates of business studies, engineering, computer science and mathematics with a pronounced talent for and interest in finding mathematical or computerised solutions to business problems.
What will I learn?
This technically-oriented course hones quantitative and computer techniques in its students to assist them in exploring management issues and supporting decision-making within a business context.
1. Exposure to and practice of the latest cutting-edge quantitative analysis techniques used within this specific branch of applied mathematics
2. Development of the necessary computer software skills and an understanding of the theory and practice of applied information systems, as required in consultancy and business
3. The ability to develop new software solutions and implement mathematical and quantitative techniques in order to make effective business decisions and boost performance
How will I benefit?
Students will not only be provided with the vital business analysis tools but also be given the chance to apply them by engaging with leading companies over the duration of the course, raising their employability in the eyes of recruiters
Access to current research into all aspects of decision and management science, including Project Management, Simulation, Multi-criteria Decision Making and Spatial Decision Support Systems
A thorough grounding in a science employed within a wide range of organisations and industries, including banks, management consultancies, the public sector and the engineering industry
Successful completion of the course has seen many graduates go on to work for such companies as Accenture, Goldman Sachs, IBM and Intel.
Variety of format and profiles available in full-time and part-time formats, the course attracts students from an Information Systems, Engineering, Maths, Economics, Science and Computing background, including some with prior practical experience looking to further their career
An IT/IS fast-track - the course is currently included in the Graduate Skills Conversion Programme, which is funded by the NDP for EU students, thereby accelerating the path of many students into the industry upon graduation
Prizes and scholarships - the SAS Ireland-sponsored Perry Bursary prize is awarded to the best student, while Distinct Business Consulting sponsors the Distinct Scholarship, awarded to one full-time MSc Business Analytics student per year.
Students on both formats of the course (one year full-time, or two years part-time via twice-weekly evening classes) must fulfil core and option modules (4 + 4), a Producing the Dissertation module and a dissertation project applying the concepts covered in the modules.
4 Core Modules
4 Option Modules
1 Core Module
Numerical Analytics and Software
Project Management and Decision Analytics
Applied Probability and Statistics
Simulation Modelling and Analysis
Data Mining Techniques & Models
Analytical Business Modelling
Network Software Modelling
Decision Support and Business Intelligence
Producing the Dissertation
Careers or Further Progression
Where can I go?
The MSc in Business Analytics programme can lead to careers in software design, management consultancy, systems analysis, financial analysis, operations research, information technology and logistics management.
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