MS Business Analytics

24 Months On Campus Masters Program

University of Cincinnati

Program Overview

The Master of Science in Business Analytics at the University of Cincinnati is designed to prepare students to use data, statistical methods, and analytical technologies to solve complex business problems. The programme develops expertise in descriptive, predictive, and prescriptive analytics, preparing graduates for careers in business analytics, data science, consulting, and related fields.

Curriculum Structure

The curriculum combines business analytics core courses, practical projects, and elective study. Students learn to collect, organise, analyse, and interpret data, then communicate findings and use them to support business decisions.

Business Analytics and Data Management: Students develop skills in working with large datasets and preparing data for analysis. Key subject areas include Data Mining and Data Wrangling, which help students identify patterns, organise complex information, and prepare reliable datasets.

Visualisation and Decision-Making: Students learn to present analytical findings clearly and translate them into practical business recommendations. Data Visualizations supports the communication of insights, while Optimization introduces methods for evaluating alternatives and improving business decisions.

Applied Learning and Electives: The programme includes a one-credit capstone experience, where students apply analytical techniques to practical business challenges. Students also complete elective courses, with opportunities to use elective credits toward a graduate certificate.

The programme does not prescribe a fixed year-by-year curriculum in the information provided. Full-time students can typically complete the degree in about nine months to one year, while part-time study is also available.

Focus Areas

Business Analytics, Data Science, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Mining, Data Wrangling, Data Visualization, Statistical Analysis, Business Intelligence, Optimization, Quantitative Analysis, Decision Science, Data-Driven Decision-Making, and Applied Business Research.

Learning Outcomes

Graduates of the programme are expected to develop the ability to:

Analyse large and complex datasets using appropriate analytical methods.
Apply descriptive, predictive, and prescriptive analytics to business problems.
Use data mining techniques to identify patterns, relationships, and trends.
Prepare, organise, and transform data for analysis.
Present analytical findings through effective data visualisations.
Apply optimization techniques to support business decisions.
Translate data insights into practical business recommendations.
Communicate technical findings clearly to business stakeholders.
Work on real-world analytical projects and industry-related challenges.
Apply analytical thinking to areas such as consumer analysis, consulting, and financial risk.

Professional Alignment and Accreditation

The MS in Business Analytics is a STEM-designated programme. This designation may allow eligible international graduates in the United States to apply for a 24-month STEM OPT extension, subject to applicable immigration requirements. The Carl H. Lindner College of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB), while the University of Cincinnati is accredited by the Higher Learning Commission (HLC).

Reputation and Employability

The programme emphasises practical learning through hands-on projects with corporate partners, supported by the university's Center for Business Analytics and AI. Students can also benefit from career guidance, industry networking, company visits, and opportunities to work on business challenges using real datasets.

The programme was ranked No. 22 among master's programmes in business analytics in the United States by TFE Times, according to the university's programme page.
Fortune ranked the online MS in Business Analytics programme No. 3 in the United States in 2024.
The university reports that more than 90% of graduates are employed within three months of graduation.
The programme's reported graduate employers include Google, Disney, Amazon, Apple, IBM, Kroger, Macy's, Morgan Stanley, and Procter & Gamble.
Graduates have pursued roles in data science, consulting, consumer analysis, and financial risk analysis.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Cincinnati, 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 industry professionals, ensuring they graduate with the skills and confidence needed to excel in the field. The program emphasizes experiential learning through various facilities and tools that enhance the educational experience.

Here are some key components of the experiential learning opportunities available to you:

- Data Analytics Lab: Equipped with advanced software tools like R, Python, and Tableau, this lab allows students to work on data analysis projects and gain proficiency in industry-standard applications.

- Capstone Projects: Students collaborate in teams to tackle real business problems, often partnering with local companies to provide actionable insights and solutions.

- Internship Opportunities: The program encourages internships with leading firms, giving students the chance to apply their skills in a professional setting and build valuable networks.

- Field Trips: Students have the opportunity to visit local businesses and organizations, providing insights into how analytics is applied in various industries.

- Research Facilities: Access to state-of-the-art research labs and resources enables students to engage in innovative projects and studies.

- Libraries and Resources: The university's extensive library system offers a wealth of resources, including databases and journals specific to business analytics.

- Institute for Business Analytics: This dedicated institute provides additional resources, workshops, and networking opportunities with industry leaders.

These experiential learning components are designed to ensure that you not only learn the theoretical aspects of business analytics but also gain the practical skills that employers are looking for. By immersing yourself in these experiences, you will be well-prepared to make an impact in the analytics field.

Progression & Future Opportunities

The MS in Business Analytics at the University of Cincinnati 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 Cincinnati offers robust career services, including personalized career coaching, resume workshops, and networking events that connect students with industry professionals.
- 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 $80,000, reflecting the high demand for skilled professionals in this field.
- University–Industry Partnerships: The university has established partnerships with leading companies such as Procter & Gamble, Deloitte, and GE, 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), ensuring that the education you receive meets the highest standards of quality and relevance in the business world.
- Graduation Outcomes: The program boasts a strong track record of successful alumni who have moved into leadership roles in various industries, showcasing the effectiveness of the curriculum and the support provided by the university.

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 open doors to academic careers or advanced research positions, allowing you to deepen your expertise and contribute to the field in meaningful ways.

Choosing the University of Cincinnati for your MS in Business Analytics is a step toward a rewarding career filled with opportunities for growth and advancement.