Business Analytics (M.S.)

12 Months On Campus Masters Program

University of New Hampshire

Program Overview

The Master of Science in Business Analytics at the University of New Hampshire is designed to prepare students for careers in data analytics, artificial intelligence, and quantitative business decision-making. Offered by the Peter T. Paul College of Business and Economics, the STEM-designated program combines data management, visualization, predictive modelling, forecasting, optimization, and modern programming skills to help students transform complex data into actionable business insights and solve real-world organizational challenges.

Curriculum Structure

Year 1: Students develop a strong foundation in business intelligence, probability models, and data analysis through courses such as Business Intelligence, Probability Models for Analytics, and Exploration and Communication of Data. They learn to manage and visualize business data, understand statistical uncertainty, identify patterns, and communicate analytical findings to support effective managerial decisions.

Advanced Study: Students strengthen their technical and analytical expertise through Machine Learning for Business, Optimization Models for Analytics, Text and Image Analytics, Business Forecasting, and Programming for Business Analytics. They also explore artificial intelligence applications and large-scale data processing through AI Applications for Business and Big Data and AI: Strategy and Analytics, which includes a capstone project involving practical business problems. Students complete two approved electives to develop additional expertise in areas such as Marketing Analytics, Financial Modeling, Supply Chain Management, Project Management, and Business Intelligence.

Focus Areas

Business Analytics, Data Analytics, Business Intelligence, Artificial Intelligence, Machine Learning, Predictive Modelling, Prescriptive Analytics, Data Management, Data Visualization, Probability Models, Statistical Analysis, Business Forecasting, Optimization Models, Text and Image Analytics, Big Data Analytics, Python Programming, Quantitative Decision-Making and Business Strategy.

Learning Outcomes

Graduates develop the ability to collect, manage, process, and visualize complex datasets, apply statistical and machine learning techniques, build predictive and forecasting models, use optimization methods to solve business problems, analyze text and image data, apply artificial intelligence tools to business operations, interpret analytical results, and communicate data-driven recommendations to support organizational decision-making.

Professional Alignment (Accreditation)

The program is offered through the Peter T. Paul College of Business and Economics, which holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB). The curriculum emphasizes practical business analytics, artificial intelligence, programming, and quantitative decision-making, preparing graduates for professional roles in modern data-driven organizations.

Reputation (Employability Rankings)

The University of New Hampshire provides an industry-focused business analytics program that combines theoretical foundations with practical applications. Its curriculum includes hands-on analytical projects, modern AI technologies, and a capstone experience to help students develop skills relevant to corporate environments. The program prepares graduates for opportunities in business consulting, financial services, marketing, technology, supply chain management, and operations analytics. No specific QS or Guardian ranking for this individual program is identified in the official program information.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New Hampshire, the MS in Business Analytics program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, utilize cutting-edge technology, and collaborate with peers to solve complex business problems. The program emphasizes experiential learning through various opportunities that enhance practical skills and prepare graduates for successful careers in analytics.

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

- Capstone Project: Students work on a comprehensive capstone project that involves analyzing real data sets for actual businesses, allowing them to apply their skills in a practical setting.
- Internship Opportunities: The program encourages internships with local and national companies, providing students with valuable industry experience and networking opportunities.
- Software Proficiency: Students gain hands-on experience with industry-standard software tools such as R, Python, Tableau, and SQL, which are essential for data analysis and visualization.
- Collaborative Learning: Group projects are a significant component of the curriculum, fostering teamwork and communication skills as students tackle complex business challenges together.
- Access to Research Facilities: The program offers access to state-of-the-art labs and research facilities, where students can conduct experiments and analyze data using advanced technologies.
- Field Trips and Guest Lectures: Students participate in field trips to local businesses and attend guest lectures from industry leaders, providing insights into current trends and practices in business analytics.
- UNH Library Resources: The university's library offers extensive resources, including databases and journals specific to business analytics, supporting students' research and learning needs.

These experiential learning opportunities not only enhance your academic experience but also equip you with the skills and knowledge necessary to excel in the field of business analytics.

Consider applying to the MS Business Analytics program at UNH to take advantage of these incredible opportunities!

Progression & Future Opportunities

The MS in Business Analytics at the University of New Hampshire equips graduates with the skills and knowledge to excel in a rapidly evolving job market. With a strong emphasis on data-driven decision-making, graduates often find themselves in high-demand roles such as Data Analyst, Business Intelligence Analyst, and Operations Research Analyst. The program not only prepares students for immediate employment but also lays a solid foundation for long-term career growth:

- University Services: The Career and Professional Success office offers personalized career coaching, resume workshops, and networking events specifically tailored for business analytics students. Additionally, the university hosts job fairs that connect students with leading companies in the field.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the MS in Business Analytics program secure employment within six months of graduation, with starting salaries averaging around $80,000 annually.

- University–Industry Partnerships: UNH has established partnerships with prominent organizations such as Fidelity Investments and BAE Systems, providing students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), a distinction held by only 5% of business schools worldwide, ensuring that your degree holds significant value in the job market.

- Graduation Outcomes: Alumni of the program have gone on to work for top firms in various industries, showcasing the versatility and applicability of the skills gained during their studies.

Further Academic Progression: After completing the MS in Business Analytics, students have the option to pursue further studies, such as a Ph.D. in Business Administration or specialized certifications in data science and analytics. This can enhance their expertise and open doors to advanced research roles or academic positions, further solidifying their standing in the competitive analytics landscape.

Choosing to study at UNH is not just about earning a degree; it's about building a future filled with opportunities.