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Business Analytics

Overview
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.

Students considering 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.

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.

Curriculum
Students complete 6 core modules and 6 option modules (or 4 option modules + Capstone project). Options listed below are indicative and are offered subject to faculty availability.

Students take 4 core modules in the autumn trimester and 2 core and 2 options in the spring trimester. In the summer trimester students can complete the Capstone project and 2 option modules OR take all 4 option modules. Students will need to meet certain criteria to be eligible for the Capstone module.

Entry requirements

Please review the entry requirements below. The UCD Smurfit Admissions Office staff have expertise in reviewing international qualifications from around the world and will be able to assess your application's comparability to the Irish entry requirement.

Entry Requirements
A minimum second class honours primary degree (or equivalent) which includes quantitative techniques, including Engineering, Computer Science and other Sciences. Applicants with a Business studies background need to have taken MIS-Management Information Systems subjects, Maths or other quantitative courses.

A student may be asked to undertake the GMAT or GRE at the Director's discretion.

Duration

1 year Full-time B154
2 years Part-time B156

Careers or further progression

Career opportunities
Graduates of the MSc in Business Analytics go into analytics consultancy, data science, software/web/IT, customer analytics, finance, operations research, logistics, and more generally into analytics roles in a wide variety of industries.

In 2016, 84% of our graduates from this programme were employed after 6 months across a range of industry sectors. (Source: First Destination Report 2016)

Potential careers for our graduates include:
•Business Analyst
•Data Analyst
•Data Scientist
•Financial Analyst
•Software Engineer
•Acquisitions Analyst
•Quantitative Analyst
•Statistician

Further enquiries

Smurfit Admissions
Email: smurfit.admissions@ucd.ie
01 716 8885 / 8058 / 4302

Subjects taught

Autumn Trimester:
•Introduction to Business Analytics
•Optimisation in Business
•Statistics and Simulation Methods
•Programming for Analytics

Spring Trimester:
•Data Management and Mining
•Consulting, Change and Project Management for Business Analytics

Option Modules:
•Advanced Operations Research
•Decision and Behavioural Analytics
•Business Intelligence and Visual Analytics

Summer Trimester:
Option Modules:
•Hot Topics in Analytics
•Capstone
•Artificial Intelligence and Business Analytics
•Metaheuristics
•Statistical Learning

Note: option modules listed are indicative of what has been delivered in previous years. What is offered each academic year is subject to change.

Comment

Vision/Values Statement
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).

Assessment method

You will be assessed by examination and continuous assessment, including individual and group assessments, presentations, reading assignments, and computer programming. Exams take place at the end of semesters 1 and 2.

In the summer term, the project (either dissertation or practicum) involves full-time work on a real analytics problem, generally with an Irish company. It is generally mathematically complex with a computer-programming element.

Application date

How To Apply
Step 1: Collating Documentation
The first step is to collate the required documentation needed to assess your application. Please ensure that you have clearly scanned, titled and collated your documents in numerical order.

These can include but are not limited to:
Transcripts
CV
English Language Test
References
Additional Documentation

Step 2: The Application Process
Once you have collated the required documentation and reviewed the entry requirements for your programme of interest, you can now apply online.

Course fee

Fees Full-Time EU:
€14,460 (academic year 2020/2021)
Full-Time Non-EU:
€19,900 (academic year 2020/2021)
Part-Time EU:
€7,855 (academic year 2020/2021)
Part-Time Non-EU:
€9,950 (academic year 2020/2021)

Important Note: Tuition fees and other charges are subject to change each year.

Enrolment and start dates

Start Date: September 2020

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