Master of Science in Business Analytics

2 Years On Campus Masters Program

University of Utah

Program Overview

The Master of Science in Business Analytics (MSBA) at the University of Utah’s David Eccles School of Business prepares students to transform complex data into meaningful business insights and strategic decisions. Designed for students interested in business analytics and data science, the programme combines statistical analysis, programming, artificial intelligence, machine learning, and business management, with practical projects that develop the skills needed to solve real-world organisational challenges.

Curriculum Structure

The programme consists of 30 credits delivered over four semesters (approximately 16 months). Its cohort-based structure allows students to progress through a carefully organised sequence of courses, combining technical analytics knowledge with business applications.

Year 1

During the first year, students establish a strong foundation in business analytics, database management, statistical modelling, and data visualisation. In the first semester, subjects such as Introduction to Business Analytics, Database Theory & Design, and Statistics & Predictive Analytics introduce students to analytical problem-solving, SQL, database development, statistical programming, and predictive modelling. Students then advance to Causal Analytics I, Data Science & Big Data Analytics, and AI & Text Intelligence, developing the ability to analyse large datasets, conduct experiments, apply artificial intelligence techniques, and extract insights from unstructured business information. They also complete the Career Development & Practice Project, which prepares them to undertake professional analytics assignments.

Year 2

In the second year, students strengthen their technical and managerial capabilities through advanced machine learning, artificial intelligence, causal analysis, and quantitative decision-making. Courses such as Intro to Business Machine Learning, AI for Business Decisions, and Causal Analytics II help students identify data patterns, evaluate business alternatives, and develop evidence-based strategies. They also study Analytical Decision Models I and II, covering optimisation techniques, linear programming, network models, simulation, and probabilistic decision-making. The programme concludes with a Consulting Project, where students work in teams on a real-world analytics assignment for a business or nonprofit organisation and present recommendations based on their findings.

Focus Areas

Business Analytics, Statistical Analysis, Predictive Analytics, Database Management and SQL, Data Visualisation, Data Science, Big Data Analytics, Artificial Intelligence, Text Intelligence, Machine Learning, Causal Analytics, Business Intelligence, Quantitative Decision Modelling, Business Strategy and Decision-Making.

Learning Outcomes

Graduates develop the ability to analyse complex business datasets, design and manage databases, apply statistical and predictive modelling techniques, interpret and communicate analytical findings through data visualisation, use artificial intelligence and machine learning for business applications, evaluate causal relationships, develop quantitative decision models, and translate data-driven insights into practical business recommendations.

Professional Alignment (Accreditation)

The programme integrates business strategy, information systems, marketing analytics, and operations management to prepare students for professional roles in business analytics and data science. Its curriculum includes practical experience with SQL, Python, statistical programming, machine learning, and distributed computing technologies such as Hadoop and Spark. Students also complete career development activities and an industry-oriented consulting project. The university does not explicitly identify a separate programme-specific professional accreditation on the official programme pages; therefore, no additional accreditation should be claimed.

Reputation (Employability Rankings)

TFE Times Ranking: The programme was ranked 4th in 2025 among the Best Master's in Business Analytics programmes, according to the David Eccles School of Business.
U.S. News & World Report: The programme was ranked 73rd overall and 42nd among public universities in the Best Business Analytics Master's Programmes ranking reported by the Eccles School in 2026.
Graduate Employment Outcomes: The university's MSBA FAQ reports an 82% placement rate and an average starting salary of $82,751, including variable compensation.
Industry Connections: Graduates have opportunities to connect with organisations such as Goldman Sachs, University of Utah Health, Swire Coca-Cola, Zions Bancorporation, CHG Healthcare, and bioMérieux.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Utah, the Master of Science in Business Analytics program is designed to provide students with hands-on experience that translates theory into practice. Through a combination of cutting-edge technology, collaborative projects, and real-world applications, students gain the practical skills necessary to excel in the rapidly evolving field of business analytics. The program emphasizes experiential learning, ensuring that you not only learn the concepts but also apply them in meaningful ways.

Here are some key components of the experiential learning opportunities available in the program:

- Data Analytics Lab: Access to state-of-the-art facilities equipped with the latest software and tools for data analysis, including R, Python, and Tableau.
- Capstone Projects: Engage in team-based projects that tackle real business problems, allowing you to work directly with industry partners and apply your analytical skills in a practical setting.
- Internship Opportunities: The program encourages internships with local and national companies, providing invaluable experience and networking opportunities.
- Collaborative Learning: Work alongside peers from diverse backgrounds in group projects that foster teamwork and enhance problem-solving skills.
- Field Trips: Participate in visits to local businesses and organizations to see analytics in action and understand how data-driven decisions are made in various industries.
- Research Opportunities: Collaborate with faculty on research projects that contribute to the field of business analytics, utilizing university resources and libraries for comprehensive studies.
- Access to the Marriott Library: Benefit from extensive resources, including databases and research materials, to support your coursework and projects.
- Institute for Data Science and Analytics: Engage with this dedicated institute that focuses on advancing data science and analytics research, providing additional learning and networking opportunities.

These experiential learning components are designed to ensure that you graduate not only with theoretical knowledge but also with the practical skills and experiences that employers are looking for.

Consider applying to the Master of Science in Business Analytics program and take the next step toward a successful career in this dynamic field!

Progression & Future Opportunities

The Master of Science in Business Analytics at the University of Utah 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 Analyst, and Data Scientist. With a strong foundation in analytics, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making:

- University Services: The university offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals, ensuring students are well-prepared for the job market.
- Employment Stats and Salary Figures: Graduates from the program have reported a high employment rate, with many securing positions within three months of graduation. The average starting salary for graduates is around $85,000, reflecting the strong demand for skilled professionals in this field.
- University–Industry Partnerships: The University of Utah has established partnerships with leading companies such as Adobe, Goldman Sachs, and Deloitte, providing students with valuable 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), 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 for top-tier firms and have reported significant career advancement, with many moving into leadership roles within just a few years of graduation.

Further Academic Progression: After completing the Master of Science 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 open doors to academic positions or advanced research roles, allowing you to deepen your expertise and contribute to the field in meaningful ways.

Choosing the University of Utah for your Master’s program means investing in a future filled with opportunities and growth.