Business Analytics provides a set of analytical methods for solving problems and aiding decision-making, particularly in the context of large quantities of data. It involves the development and application of models and concepts to explore management issues and solve managerial problems. It includes Data Science, Management Science and Operational Research. Many different organisations use the principles and practice of Analytics.
Available in one-year full-time and two-year part-time formats, this programme is suitable for graduates from technical disciplines such as Engineering, Computer Science and Mathematics with a talent for and interest in finding mathematical or computer solutions to business problems. It is also suitable for business graduates who have studied Management Information Systems (MIS) subjects. The student profile also includes people with practical experience, who often use the programme to re-direct their career.
The mix of full and part-time students from different backgrounds, working together on projects, makes the interaction between students an important and worthwhile part of the learning experience.
This one year full-time programme can be completed on a part-time basis over two years, however students considering doing the part-time option should be aware that it requires class attendance and some group work during the working day, so employer support is essential to undertake the part-time option.
SCHOLARSHIP: MSc in Business Analytics Derek O'Connor Scholarship sponsored by Next Generation Recruitment
UCD Smurfit School have partnered with Next Generation Recruitment to offer MSc Business Analytics applicants (full- & part-time) the chance to win a scholarship covering full-time EU Fees.
What will I learn?
This technically-oriented course hones quantitative and computer techniques to assist students in exploring management issues and supporting decision-making within a business context.
1. Exposure to and practice of the latest cutting-edge qualitative and quantitative analysis techniques used in the fast-growing field of analytics as applied in business
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 vital business analysis tools but also 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.
1.Access to current research into all aspects of analytics, data science, decision-making and management science, including Descriptive/Predictive/Prescriptive analytics, Project Management, Simulation, Multi-criteria Decision Making and Spatial Decision Support Systems.
2.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.
3.Successful completion of the course has seen many graduates go on to work for such companies as Accenture, Goldman Sachs, IBM and Intel.
4.Prestige: the UCD Smurfit MSc in Business Analytics has been ranked #13 in the world by QS University Rankings.
Students complete 6 core modules, including a 15-credit Capstone project during the summer, and 5 option modules. Some options may be assigned at admission time based on students' previous studies. Options listed below are indicative and are offered subject to faculty availability.
In the summer term, the Capstone project involves full-time work on a real analytics problem, generally with a top Dublin-based analytics employer. It is generally mathematically complex with a computer-programming element and a consulting aspect.
The MSc Business Analytics programme gives students a thorough theoretical and practical business analytics education: qualitative, quantitative, computational, and data-oriented analytics techniques, and how these techniques add value and fit into business practice. It aims to give graduates the skills to work in analytics roles in business and progress quickly to leadership positions (Purpose).
A central part of the programme's vision is that analytics methods promise improved insight, decision-making, and outcomes in industry, business, and the public and non-profit sectors. The programme aims to give students both the technical and soft knowledge and skills required to deliver on this promise (education and subject/discipline/professional values). Faculty aim to provide transformational learning, to create
a growth mindset in students, and to create an environment in which students are empowered to question and discuss. UCD Smurfit provides high-quality supports and facilities. Students experience a diverse environment (age, gender, nationality, background), both within their class and between the full-time and part-time classes (the nature of the learning environment for students).
The programme is based on: (1) core taught content (foundations and applications); (2) taught specialisations; and (3) independent research work. Content is delivered through a combination of lectures, seminars, tutorials, practical sessions, online and autonomous learning, with a major independent supervised real-world business analytics project. Assessment is through a blend of continuous assessment and end-of-year exams. Continuous assessment includes both individual and group work, and both formative and summative assessment. There is also a blend of technical/quantitative deliverables and written/discursive deliverables (key approaches to teaching, learning and assessment).