M.S. in Business Analytics

10 Months On Campus Masters Program

Cornell University

Program Overview

The Master of Science in Business Analytics (MSBA) at Cornell University's SC Johnson College of Business helps students develop the skills to turn complex data into meaningful insights and make better business decisions. The programme is ideal for students and professionals interested in business, technology and data science who want to build expertise in artificial intelligence, machine learning, statistical analysis and business strategy while learning how to apply these skills to real-world challenges.

Curriculum Structure

The programme follows a 30-credit curriculum and offers two study formats: a full-time, 10-month residential programme in New York City and a flexible, 16-month part-time Online+ programme. Both formats combine business and analytics subjects, specialist electives, communication training and a practical capstone project.

First Term – Business and Analytics Foundations

Students begin by building a strong understanding of business operations and analytical problem-solving. They develop essential skills in statistical modelling, programming, data management and data-driven decision-making. Team-based activities also help students learn how to approach business challenges, share ideas and work effectively with people from different professional backgrounds.

Second Term – Advanced Analytics and Communication

The second term takes students further into the world of business analytics, with a focus on advanced analytical techniques and their practical applications. They develop their understanding of machine learning, artificial intelligence, predictive modelling and data visualisation while learning how to interpret complex information. Communication training also helps them present technical findings clearly and turn data into recommendations that business leaders can use.

Third Term – Concentration and Electives

Students can tailor their studies to match their interests and career ambitions by choosing from four concentrations: Finance Analytics, Marketing Analytics, Operations and Supply Chain Analytics, and Business Analytics. Through specialist courses and electives, they explore how data can improve financial decisions, understand customer behaviour, strengthen supply chain operations and support wider business strategies.

Fourth Term – Capstone Project and Professional Application

The final stage brings together the knowledge and skills developed throughout the programme. Students complete a capstone project in which they work with large datasets and analytical tools to address a real-world business problem related to their chosen concentration. With guidance from an industry practitioner, they develop practical recommendations and present their findings, gaining experience that prepares them for professional roles in business analytics.

Focus Areas

Business Analytics, Data Science, Statistical Modelling, Machine Learning, Artificial Intelligence, Predictive Analytics, Data Visualisation, Programming, Data Management, Business Intelligence, Finance Analytics, Marketing Analytics, Operations Analytics, Supply Chain Analytics, Business Strategy, Data-Driven Decision-Making, Business Communication, Leadership and Strategic Problem-Solving.

Learning Outcomes

Graduates will be able to analyse complex datasets, use statistical modelling and machine learning techniques, and apply artificial intelligence to solve business problems. They will develop practical skills in programming, data visualisation, predictive analytics and business intelligence while learning to turn analytical findings into useful business recommendations. The programme also strengthens communication, teamwork and leadership skills, preparing students to contribute to strategic decisions and improve business performance across different industries.

Professional Alignment (Accreditation)

AACSB Accreditation: Cornell's SC Johnson College of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB), an internationally recognised accreditation body for business education.
STEM Designation: The MS in Business Analytics is a STEM-designated programme, highlighting its strong focus on technology, quantitative analysis and problem-solving.
Industry Relevance: The curriculum covers areas such as artificial intelligence, machine learning, predictive modelling and business analytics, helping students develop skills that are increasingly important in today's data-driven business environment.

Reputation (Employability Rankings)

Career Opportunities: Graduates can pursue opportunities in finance, banking, consulting, healthcare, technology, manufacturing, hospitality, marketing and supply chain management.
Career Support: Students have access to career coaching, networking opportunities, career workshops, corporate visits, interview preparation and Cornell's extensive alumni network.
Professional Roles: Potential career paths include Data Scientist, Data Engineer, Business Analyst, Product Analyst, Analytics Consultant, Strategy and Operations Analyst, Business Intelligence Analyst and Decision Scientist.
Industry Exposure: Capstone projects, networking events and interactions with industry professionals help students understand business challenges and gain practical experience.

Experiential Learning (Research, Projects, Internships etc.)

At Cornell University, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The program emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to cutting-edge tools and facilities. Students engage in real-world problem-solving, allowing them to apply analytics techniques to actual business scenarios.

Here are some key aspects of the experiential learning opportunities available in the MS in Business Analytics program:

- Collaborative Projects: Students work in teams on projects that simulate real business challenges, fostering teamwork and practical application of analytics skills.

- Internships: The program encourages students to pursue internships with leading companies, providing invaluable industry experience and networking opportunities.

- Software and Tools: Students gain proficiency in industry-standard software such as R, Python, Tableau, and SQL, equipping them with the technical skills needed in the analytics field.

- Field Trips: The program includes visits to local businesses and organizations, allowing students to see analytics in action and understand its impact on decision-making.

- Research Laboratories: Access to state-of-the-art research facilities enables students to engage in data-driven research projects, enhancing their analytical capabilities.

- Libraries and Resources: The Cornell University Library system offers extensive resources, including databases and journals, to support students' research and learning.

- Institutes and Centers: Students can collaborate with various institutes, such as the Cornell Institute for Digital Agriculture, which focuses on innovative analytics applications in agriculture and business.

These experiential learning opportunities not only enhance your academic experience but also prepare you for a successful career in business analytics.

By choosing the MS in Business Analytics at Cornell, you’re not just earning a degree; you’re gaining the skills and experiences that will set you apart in the competitive job market.

Progression & Future Opportunities

The MS in Business Analytics at Cornell University equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. Alumni of this program often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and Analytics Manager. The strong foundation provided by Cornell prepares students for impactful careers in various industries, making them valuable assets to employers.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: Cornell offers dedicated career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Cornell SC Johnson College of Business also hosts career fairs specifically tailored for analytics students.

- Employment Stats and Salary Figures: Graduates from the MS in Business Analytics program have an impressive employment rate, with over 90% securing jobs within three months of graduation. The average starting salary for graduates is around $85,000, with many entering roles that offer significant growth potential.

- University–Industry Partnerships: Cornell has established partnerships with leading companies such as Deloitte, IBM, and Amazon, providing students with opportunities for internships, real-world projects, and networking that can lead to job placements.

- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that the education you receive meets the highest standards of quality and relevance in the business field.

- Graduation Outcomes: Alumni have gone on to work at top firms and have reported high levels of job satisfaction, often advancing to leadership positions within just a few years of graduation.

Further Academic Progression: After completing the MS in Business Analytics, students have the option to pursue further studies, such as a Ph.D. in Information Systems or Business Administration, which can lead to academic careers or advanced research roles. Additionally, graduates may choose to specialize further by obtaining certifications in data science, machine learning, or project management, enhancing their expertise and career prospects even more.

Choosing to pursue your MS in Business Analytics at Cornell is not just about earning a degree; it's about opening doors to a future filled with opportunities and growth in a dynamic field.