| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The MSc Business Analytics program at Maynooth University equips graduates with the skills to analyze and interpret large datasets, develop proficiency in data analytics tools and techniques, and translate insights into meaningful business solutions. Delivered part-time over two years, the program emphasizes hands-on learning, real-world case studies, and industry collaborations to prepare students for successful careers in various analytical roles.
Program Outline
Analysis of MSc Business Analytics at Maynooth University
Degree Overview:
This Master's program is designed for individuals seeking to apply quantitative data analytics in various business settings, including commercial, governmental, and non-governmental organizations. The program addresses the growing demand for professionals skilled in data analytics within the Big Data era. Organizations increasingly require professionals capable of utilizing data to solve complex business problems.
Objectives:
- Equip graduates with the skills to analyze and interpret large datasets.
- Develop proficiency in using various data analytics tools and techniques.
- Build a foundation for further research and development in the field of business analytics.
Program Description:
The MSc in Business Analytics is a rigorous and comprehensive program delivered over two years in a part-time format. The program emphasizes hands-on learning experiences and incorporates real-world case studies to equip students with practical skills. It features a mix of lectures, group work, and individual assignments to foster a collaborative learning environment. The program aims to prepare graduates for successful careers in various analytical roles across diverse industries.
Outline:
- Duration: 2 years (24 months) part-time
- Structure:
- 8 taught modules
- 4 modules per semester for full-time students
- 2 modules per semester for part-time students
- Each module taught in four one-day blocks
- Three to four weeks between blocks
- Modules:
- Principles of Business Analytics
- Predictive Analytics
- Analytics Live (real-world project)
- Marketing Analytics
- Contemporary Issues in IT
- People, Organisations & Society
- Career Planning and Development
- Evidence Based Management
- Autumn School (optional): Provides foundation in business, maths & statistics, and programming
- Learning methods:
- Active engagement in problem solving
- Individual and group work
Assessment:
- Assessment methods:
- Written assignments
- Group projects
- Presentations
- Examinations
- Analytics Live project
- Assessment criteria:
- Accuracy of analysis
- Clarity of communication
- Depth of understanding
- Ability to solve problems
- Application of theory to practice
Teaching:
- Teaching methods:
- Interactive lectures
- Case studies
- Practical exercises
- Group discussions
- Online resources
- Faculty:
- Experienced and qualified academics with expertise in various areas of business analytics
- Active researchers contributing to the field
- Industry professionals sharing real-world insights
- Unique approaches:
- Focus on hands-on learning
- Emphasis on problem-solving skills
- Collaboration with industry partners on real-world projects
- Strong emphasis on employability skills
Careers:
- Career paths:
- Business analyst
- Analytics associate
- Business intelligence engineer
- Operations analyst
- Product analyst
- Data scientist
- Data engineer
- Management consultant
- Career planning and development module: Assists students in identifying career goals and developing strategies
- Employability skills focus: Equips graduates with essential skills for successful job hunting
Other:
- Entry requirements:
- Minimum 2.2 grade honours (level 8) degree
- Quantitative techniques as part of the degree
- Work experience in quantitative methods (for non-standard entrants)
- English language requirements: IELTS score of 6.5 or equivalent
- Application process: Through the Postgraduate Applications Centre (PAC)
- Program Director: Dr. Fabiano Pallonetto
Maynooth University
Overview:
Maynooth University is a public research university located in Maynooth, County Kildare, Ireland. It is known for its strong academic programs, vibrant campus life, and commitment to research.
Services Offered:
Maynooth University offers a wide range of services to its students, including:
Library:
A comprehensive library with extensive resources and study spaces.Maynooth Access Programme:
Support for students from underrepresented backgrounds.Gaeilge san Ollscoil:
Irish language services and resources.Campus Life:
A variety of student clubs, societies, and activities.International Office:
Support for international students and those wishing to study abroad.Graduate Research Academy:
Support for postgraduate research students.Research Development Office:
Support for research activities.MaynoothWorks:
A platform connecting researchers with industry partners.Student Life and Campus Experience:
Students at Maynooth University can expect a vibrant and engaging campus experience. The university offers a wide range of clubs, societies, and activities, including sports, music, drama, and volunteering opportunities. The campus is located in a picturesque setting, with easy access to Dublin and other major cities.
Key Reasons to Study There:
Strong Academic Programs:
Maynooth University offers a wide range of undergraduate and postgraduate programs across various disciplines.World-Class Research:
The university is renowned for its research activities, particularly in the natural sciences, social sciences, engineering, technology, arts, and humanities.Supportive Campus Environment:
Maynooth University provides a welcoming and supportive environment for students, with a strong focus on student well-being.International Focus:
The university has a strong international presence, with a diverse student body and a commitment to global engagement.Academic Programs:
Maynooth University offers a wide range of academic programs, including:
Undergraduate Studies:
Level 8 degrees in various disciplines.Postgraduate Studies:
Taught master's, diplomas, certificates, and research programs.Certificates and Short Courses:
A variety of short courses and certificates for professional development.EU/Irish Applicants:
- Minimum 2.2 Grade Honours (Level 8) Degree: This degree must include quantitative techniques as part of the curriculum, including the ability to undertake statistical analysis of data.
- Examples of Qualifying Degrees:
- Business Studies
- Management Science
- Economics
- Finance
- Accounting
- Engineering
- Mathematics
- Physics
- Computer Science
- Other Sciences
- Applicants without a Qualifying Degree:
- Minimum of 3 years' work experience in a position utilizing quantitative methods.
- 2.2 Honours Degree (quantitative or non-quantitative).
- This option is evaluated on a case-by-case basis.
- Exceptional Circumstances:
- Non-EU applicants with at least 10 years' relevant work experience, including 3 years using quantitative techniques.
- Managed through Maynooth University's Procedure for Non-Standard Entrants and Recognition of Prior Experiential Learning.
International Applicants:
- Recognized Primary Degree: Equivalent to Irish university primary degree level at 2.2.
- Examples of Qualifying Degrees: Same as above for EU/Irish applicants.
- Please note: This is a quantitative program, and applicants need a basic level of quantitative skills.
Minimum English Language Requirements:
- Applicants for whom English is not their first language must demonstrate proficiency for the program.
- Acceptable English Language tests and required scores are listed here: https://www.maynoothuniversity.ie/international/english-language-requirements
Important notes:
- The English language requirements are applicable to both EU and international applicants.
- The Maynooth University TOEFL code is 8850.
- The program offers a preparatory Autumn School to help students achieve the necessary levels of business, math & statistics, and programming.
- The date for the Autumn School is typically in the last 2 weeks of August.
Conclusion:
This program is designed for students with strong quantitative skills who are interested in applying data analytics to various business contexts. The entry requirements are specific and ensure that admitted students are well-prepared for the program's rigorous curriculum.
