The Master of Business Analytics at the University of Notre Dame is a comprehensive program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data-driven decision making. This innovative program combines rigorous coursework in statistics, data management, and computational methods with practical experiences that prepare graduates to address complex business challenges across various industries. Students will learn to analyze large and complex data sets, develop predictive models, and utilize cutting-edge tools such as machine learning algorithms and data visualization techniques to generate actionable insights. The curriculum emphasizes both technical proficiency and strategic thinking, enabling students to communicate findings effectively to stakeholders and inform strategic business decisions. Through a combination of coursework, projects, and internships, students gain hands-on experience working with real-world data and industry-standard software platforms. The program is designed for individuals aiming to advance their careers in roles such as data analyst, business intelligence analyst, data scientist, and analytics consultant. The University of Notre Dame’s strong industry connections and commitment to experiential learning ensure that graduates are well-prepared to meet the demands of the evolving business landscape. Additionally, students benefit from a collaborative academic environment that fosters critical thinking, innovation, and leadership. Upon completion of the program, graduates will be equipped with a robust analytical toolkit, a strategic perspective on business problems, and the ability to drive data-centric initiatives within organizations. The Master of Business Analytics at Notre Dame offers an excellent pathway for professionals seeking to leverage data analytics as a strategic advantage in their careers.
COURSES | CREDIT HOURS |
---|---|
Opening Module (South Bend) | |
Introduction to Business Analytics | 1.5 |
Module I | |
Data Management Tools & Techniques | 2 |
Data Visualization & Exploration | 2 |
Statistics for Management Decision Making 1 | 2 |
Module 2 | |
Business Decision Modeling | 2 |
Data Mining Tools & Techniques 1 | 2 |
Statistics for Management Decision Making 2 | 2 |
Intensive Case Module (South Bend) | |
Integrated Analytics Practices | 1.5 |
Module 3 | |
Data Mining Tools & Techniques 2 | 2 |
Ethics and Big Data Analytics | 1.5 |
Financial Analytics for Business Decision Modeling | 1.5 |
Predictive Analytics & Forecasting Models | 1.5 |
Module 4 | |
Marketing and Customer Analytics | 1.5 |
Emerging Issues in Analytics | 1.5 |
Operations Analytics & Process Improvement | 1.5 |
Social Media Analytics | 1.5 |
Capstone Module (Chicago/South Bend) | |
Analytics Capstone Project | 2.5 |
TOTAL CREDIT HOURS | 30 |
- Resume
- Interview (to be scheduled by MSBA admissions team for qualified applicants)
- Official transcript(s) sent directly from the institution
- Two (2) recommendations
- One (1) essay
- Official TOEFL, PTE, IELTS Academic score report (non-U.S.students only)
- Active employment with a minimum of 2 years work experience
- The admissions team reserves the right to require the GMAT
- The application fee is $50.00* USD
- Transcripts
- Test of English as a Foreign Language (TOEFL®)
- Pearson Test of English Academic (PTE®)
- International English Language Testing System (IELTS®)
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
Scholarships
- Non-Profit Leadership Award: Fellowship offered to one student who leads in a non-profit organization
- Mendoza Dean's Fellowships: Merit-based awards for students based on a variety of criteria including academic performance, business experience, leadership potential and unique contributions to the MSBA class.
The University of Notre Dame offers a program in Business Analytics designed to equip students with the analytical skills and business acumen necessary to succeed in a data-driven world. This program focuses on the development of quantitative and technological expertise, aiming to prepare graduates for careers that involve data analysis, statistical modeling, and decision-making support in various industries. Students enrolled in the program gain a comprehensive understanding of data management, predictive analytics, and optimization techniques, supported by coursework in mathematics, statistics, computer science, and business strategy.
The curriculum emphasizes practical skills, including the use of analytical tools and software such as R, Python, SQL, and Tableau, enabling students to manipulate large datasets, discover insights, and communicate findings effectively. Coursework typically covers topics like data mining, machine learning, business intelligence, and data visualization, ensuring students are well-versed in the latest analytical methods.
Notre Dame’s Business Analytics program often includes experiential learning opportunities, such as internships, industry projects, and case studies, allowing students to apply their knowledge in real-world situations. The program aims to develop critical thinking, problem-solving skills, and ethical considerations related to data usage. Graduates are prepared for roles such as data analysts, business analysts, quantitative analysts, and consultants across sectors including finance, healthcare, technology, marketing, and consulting.
The university’s strong connections with industry partners and a network of alumni help facilitate internships and employment opportunities for students. The program also benefits from Notre Dame’s collaborative academic environment and dedicated faculty who are experts in analytics, statistics, and business disciplines. With a rigorous curriculum and a focus on both technical and soft skills, the Business Analytics program at Notre Dame offers a comprehensive pathway for students to thrive in the growing field of data-driven decision-making.