The MBA with a Business Analytics specialization at the University of Delaware prepares students to combine business management expertise with data-driven decision-making to solve complex organisational challenges. The programme integrates business strategy, data science, statistical analysis, data visualisation, financial modelling, and management science, helping students develop the skills to interpret large datasets, optimise business operations, identify market trends, and support strategic decisions across different industries.
Curriculum Structure
The Lerner MBA offers Business Analytics as both a major and a concentration, allowing students to customise their studies according to their professional goals. Students complete the MBA core curriculum and professional development seminars before selecting their specialisation. The standard MBA requires 38 credits with a concentration, while the major pathway requires 44 credits.
Business Management and Analytical Foundations: Students develop a strong foundation in business management through core courses such as Fundamentals of Analytics (BANA 620), Economic Analysis for Business Policy (ECON 603), Financial Reporting and Analysis (ACCT 600), and Financial Management (FINC 650). These subjects introduce quantitative business analysis, financial decision-making, economic principles, and the use of analytical information in management.
Business Analytics and Strategic Decision-Making: Students explore how data science and management science can improve organisational performance. They develop skills in interpreting business information, identifying trends, applying statistical methods, and using data visualisation tools to communicate insights. The specialisation focuses on applying analytical techniques to business strategy, operational planning, financial modelling, and forecasting.
Advanced Analytics and Professional Application: Students deepen their expertise through prescribed Business Analytics major or concentration electives. Depending on the selected pathway and course availability, they develop capabilities in predictive analysis, business intelligence, quantitative modelling, and digital marketing analytics. These skills help them translate complex datasets into practical recommendations and support evidence-based business decisions.
Note: The university provides separate major and concentration pathways. The specific elective requirements should be checked against the current MBA academic catalogue rather than treated as a fixed year-by-year sequence.
Focus Areas
Business analytics, data science, business intelligence, statistical analysis, data visualisation, predictive analytics, financial modelling, quantitative analysis, management science, strategic decision-making, operational planning, business forecasting, digital marketing analytics, data-driven management, business strategy, and organisational performance optimisation.
Learning Outcomes
Apply data analytics techniques to solve complex business problems and support strategic decision-making.
Interpret large datasets and identify meaningful business trends and patterns.
Use statistical methods and quantitative models to evaluate business performance.
Develop data visualisation skills to communicate analytical findings effectively.
Apply financial modelling and forecasting techniques to support business planning.
Understand how data science can improve operational efficiency and organisational productivity.
Evaluate business strategies using analytical evidence and management science.
Develop leadership and management capabilities to guide data-driven organisational initiatives.
Translate analytical insights into practical recommendations for business growth and innovation.
Professional Alignment (Accreditation)
The Alfred Lerner College of Business and Economics is accredited by AACSB International (Association to Advance Collegiate Schools of Business). This internationally recognised accreditation reflects the college's commitment to academic quality, faculty excellence, relevant business education, and continuous improvement.
The MBA Business Analytics major is also STEM-designated, emphasising quantitative analysis, data science, financial modelling, and technical proficiency. This provides an opportunity for eligible international students to benefit from the applicable STEM OPT extension in the United States, subject to immigration requirements.
Reputation (Employability Rankings)
Industry Recognition: The Lerner MBA provides business and analytical training relevant to organisations operating in finance, consulting, technology, banking, healthcare, and multinational business sectors.
Graduate Employment: The university reported that 91% of its master's-level graduates were employed after graduation in 2025, with an average salary of $88,005. These figures cover master's graduates collectively and are not specific to the MBA Business Analytics specialisation.
Top Employers: Lerner MBA graduates have found career opportunities with organisations such as Bank of America, Barclays, Capital One, Deloitte, DuPont, EY, JPMorgan Chase, and PwC.
Potential Career Roles: Business Analyst, Financial Analyst, Business Analytics Specialist, Operations Planning and Analytics Manager, Quantitative Analytics Consultant, Digital Marketing Analyst, Director of Business Intelligence, Business Intelligence Manager, Data Analytics Consultant, and Strategic Business Analyst.
Career Development: Students benefit from Lerner Career Services, professional development opportunities, executive mentoring, and access to a global alumni network of more than 40,000 business professionals.
At the University of Delaware, the MBA in Business Analytics program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. This program emphasizes experiential learning through various opportunities that allow students to engage with real-world data and analytics challenges. With access to state-of-the-art facilities and tools, students can immerse themselves in a learning environment that fosters innovation and collaboration.
Here are some key aspects of the experiential learning opportunities available in the MBA in Business Analytics program:
- Data Analytics Lab: Equipped with advanced software and tools, this lab allows students to work on real datasets, enhancing their analytical skills and understanding of data-driven decision-making.
- Capstone Projects: Students collaborate on group projects that tackle actual business problems, providing a platform to apply their learning in a practical context while working alongside industry partners.
- Internship Opportunities: The program encourages students to pursue internships with leading companies, offering invaluable experience and networking opportunities in the field of business analytics.
- Industry Partnerships: The University of Delaware has established connections with various organizations, facilitating guest lectures, workshops, and networking events that enrich the learning experience.
- Field Trips: Students have the chance to visit local businesses and organizations, gaining insights into how analytics is applied in different industries.
- Research Facilities: Access to dedicated research centers allows students to engage in cutting-edge research projects, further enhancing their analytical capabilities.
- Library Resources: The university's libraries provide extensive resources, including databases and journals focused on business analytics, ensuring students have access to the latest research and trends.
- Professional Development Workshops: Regular workshops are offered to help students develop essential skills such as data visualization, statistical analysis, and business communication.
These experiential learning opportunities not only enhance your academic journey but also prepare you for a successful career in business analytics. If you're ready to take the next step in your education and career, consider applying to the MBA in Business Analytics program at the University of Delaware.
The MBA in Business Analytics at the University of Delaware equips graduates with the skills and knowledge to excel in a data-driven business environment. With a strong focus on analytical techniques and strategic decision-making, students are well-prepared for roles such as Data Analyst, Business Intelligence Manager, and Operations Research Analyst. The program not only enhances your career prospects but also opens doors to leadership positions in various industries.
Here’s how the University of Delaware supports your journey toward success:
- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Graduates of the MBA in Business Analytics program have a high employment rate, with many securing positions within three months of graduation. The average starting salary for graduates is competitive, often exceeding $80,000 annually.
- University–Industry Partnerships: The University of Delaware collaborates with leading companies such as JPMorgan Chase and DuPont, providing students with networking opportunities, internships, and real-world projects that enhance learning and employability.
- Accreditation: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds long-term value and is recognized globally.
- Graduation Outcomes: Alumni have successfully transitioned into senior roles, with many advancing to executive positions within a few years of graduation.
Further Academic Progression: After completing your MBA in Business Analytics, you may choose to pursue a Ph.D. in Business Administration or a related field, allowing you to delve deeper into research and academia. Alternatively, you could consider specialized certifications in data science or analytics to further enhance your expertise and career prospects. The University of Delaware provides resources and guidance for those interested in continuing their education, ensuring you have a clear path for your future.



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