Master of Science in Business Analytics

2 Year 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 for careers in business analytics, data science, and data-driven management. The programme combines technical analytics training with business education, helping students develop the ability to interpret complex datasets, build predictive models, apply artificial intelligence and machine learning, and translate analytical insights into practical business decisions.

Curriculum Structure

The MSBA is a 30-credit-hour programme that can be completed in four semesters (16 months). It follows a cohort-based, lockstep curriculum in which students complete the same courses in a structured sequence. Classes combine in-person and online learning, with most sessions scheduled in the evenings to accommodate working professionals.

First Year

Students establish a foundation in business analytics, database management, statistics, predictive modelling, and data visualisation. Courses include Introduction to Business Analytics, Database Theory & Design, Statistics & Predictive Analytics, and Data Visualization. Students then advance to Causal Analytics I, Data Science & Big Data Analytics, and AI & Text Intelligence, developing practical skills in data management, statistical programming, experimentation, and analysing unstructured business information.

Second Year

Students deepen their technical and managerial capabilities through courses such as Intro to Business Machine Learning, AI for Business Decisions, Causal Analytics II, and Analytical Decision Models I and II. They learn to apply machine learning, causal inference, optimisation, simulation, and analytical modelling to business challenges. The programme concludes with practical capstone work, including a Career Development & Practice Project and a Consulting Project for a business or nonprofit organisation.

Note: The university offers spring and fall entry options. The course sequence may differ depending on the starting semester, but students complete the same curriculum.

Focus Areas

Business analytics, data science, statistical analysis, predictive analytics, database theory and design, SQL, data visualisation, causal inference, artificial intelligence, text intelligence, machine learning, big data analytics, analytical decision modelling, business intelligence, data management, optimisation, simulation, business consulting, and data-driven decision-making.

Learning Outcomes

Graduates develop the ability to collect, organise, manage, and analyse complex datasets using statistical and computational methods. They learn to build predictive models, apply machine learning and artificial intelligence, conduct causal analysis, create effective data visualisations, and use analytical models to support business decisions. The programme also strengthens communication, consulting, teamwork, and problem-solving skills, enabling graduates to translate technical findings into practical recommendations for organisations.

Professional Alignment (Accreditation)

AACSB Accreditation: The David Eccles School of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB), an internationally recognised accreditation for business education.
STEM Designation: The MSBA is a STEM-designated programme, allowing eligible international students on F-1 visas to apply for a 24-month STEM OPT extension after their initial 12-month OPT period.
Industry-Relevant Curriculum: Students gain practical experience in Python-based data science, machine learning, predictive analytics, database design, artificial intelligence, and analytical decision modelling.
Capstone Projects: Students complete a Career Development & Practice Project and a Consulting Project, applying their analytical skills to real business or nonprofit challenges.
Professional Development: Career support includes résumé and cover-letter preparation, networking, interview practice, career planning, and salary negotiation guidance.

Reputation (Employability and Rankings)

TFE Times 2025: The MSBA was ranked No. 4 in the publication's Master of Business Analytics rankings.
Graduate Employment: The programme reports an 82% placement rate and an average starting salary of $82,751, including variable compensation.
Industry Connections: Hiring partners include University of Utah Health, Swire Coca-Cola, Zions Bancorporation, Layton Construction, DigiCert, CHG Healthcare, Goldman Sachs, and qBotica.
Career Opportunities: Graduates can pursue roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, Data Scientist, Business Analytics Consultant, Predictive Analytics Specialist, Machine Learning Analyst, Marketing Analytics Analyst, Operations Research Analyst, Data Strategy Analyst, and Analytics Manager.
International Career Support: Eligible international students can access Curricular Practical Training (CPT), Optional Practical Training (OPT), and the STEM OPT extension, subject to applicable immigration requirements.

Note: Employment and salary figures are programme-reported outcomes and are not guaranteed individual results.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Utah, 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 technology and facilities. Students engage in real-world problem-solving, allowing them to apply analytical techniques and tools in a supportive environment.

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

- Capstone Projects: Students work on real-world business problems in collaboration with industry partners, allowing them to apply their analytical skills to tangible challenges.
- Internships: The program encourages internships with leading companies, providing students with valuable work experience and networking opportunities.
- Data Analytics Software: Students gain proficiency in industry-standard tools such as R, Python, Tableau, and SQL, which are essential for data analysis and visualization.
- Collaborative Learning: Group projects foster teamwork and communication skills, essential for success in the business analytics field.
- Research Labs: Access to dedicated research labs equipped with advanced technology supports students in conducting in-depth analyses and experiments.
- Business Analytics Institute: The university hosts the Business Analytics Institute, which connects students with industry leaders and provides resources for professional development.
- Library Resources: The J. Willard Marriott Library offers extensive databases and resources tailored for business research, enhancing students' learning experience.
- Field Trips: Opportunities to visit local businesses and organizations provide insights into how analytics is applied in various industries.

These experiential learning components ensure that students not only learn the theory behind business analytics but also gain the practical skills necessary to excel in their careers.

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

Progression & Future Opportunities

The MS in Business Analytics program 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 Consultant, and Analytics Manager. With a strong foundation in analytics, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making.

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

- University Services: The University of Utah offers robust career services, including personalized career coaching, resume workshops, and networking events that connect students with industry leaders.
- Employment Stats and Salary Figures: Graduates from the MS in Business Analytics program have an impressive employment rate, with many securing positions within three months of graduation. The average starting salary for graduates is around $85,000, reflecting the high demand for analytics professionals.
- University–Industry Partnerships: The program has established partnerships with leading companies such as Adobe, Goldman Sachs, and Amazon, providing students with internship opportunities and real-world projects that enhance their learning experience.
- Long-term Accreditation Value: The University of Utah is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market and is recognized globally.
- Graduation Outcomes: Alumni have gone on to work for top firms in various sectors, showcasing the versatility and applicability of the skills gained in this program.

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 a specialized certificate in Data Science or Machine Learning. This can open doors to academic positions or advanced research roles, allowing you to deepen your expertise and contribute to the field of analytics.

Choosing the MS in Business Analytics at the University of Utah is not just about earning a degree; it's about launching a successful career in a field that is shaping the future of business.