Business Analytics and Information Management (M.S.)

2 Years On Campus Masters Program

University of Delaware

Program Overview

The Master of Science in Business Analytics and Information Management at the University of Delaware prepares students to use data, technology, and analytical methods to solve complex business challenges and improve organisational performance. The programme combines business analytics, information systems, database management, programming, artificial intelligence, and strategic decision-making, allowing students to specialise in business analytics, information management, or a combination of both.

Curriculum Structure

The programme requires 30 credit hours, comprising three core courses worth 9 credits and seven electives worth 21 credits. Students can complete the degree in approximately one to two years, depending on their study format and course selection. The flexible curriculum is available through full-time, part-time, hybrid, and fully online study options.

Business Analytics and Quantitative Foundations: Students develop essential analytical skills through Fundamentals of Business Analytics (BANA 662), which introduces inferential statistics, predictive modelling, business processes, and data presentation. They learn to interpret business data, identify patterns, and use quantitative methods to support effective organisational decisions.

Database Management and Business Programming: Students build technical expertise through Database Design and Implementation (MISY 604) and Introduction to Business Programming (MISY 685). These courses cover relational database concepts, SQL, big data analytics, programming principles, and data visualisation, preparing students to manage business information and work with complex datasets.

Advanced Analytics and Information Management: Students customise their studies by selecting seven electives from areas such as artificial intelligence, data mining, cybersecurity, business intelligence, digital transformation, and enterprise systems. Available courses include AI for Business (BANA 641), Introduction to Generative AI (BANA 670), Dashboard Design and Storytelling (BANA 675), Decision Analytics and Visualization (BUAD 621), Business Analytics Capstone (BUAD 625), and Business Intelligence and Analytics (MISY 648). These subjects help students apply advanced technologies and analytical techniques to practical business challenges.

Focus Areas

Business analytics, information management, data science, statistical analysis, predictive modelling, database design and management, SQL programming, business intelligence, artificial intelligence, generative AI, big data technologies, data mining, data visualisation, cybersecurity management, digital transformation, enterprise resource planning, information systems, decision analytics, financial modelling, and strategic business management.

Learning Outcomes

Apply statistical and analytical techniques to interpret business data and support organisational decision-making.
Develop predictive models and use quantitative methods to identify business trends and opportunities.
Design, implement, and manage relational databases using modern database technologies and SQL.
Apply programming techniques to business analytics, data processing, and visualisation.
Use artificial intelligence, machine learning, and big data technologies to address business challenges.
Develop effective information management strategies to improve organisational productivity and performance.
Evaluate cybersecurity risks and understand the importance of information security and data protection.
Communicate analytical findings through dashboards, visualisations, and business reports.
Apply business intelligence and decision analytics to develop practical solutions for complex organisational problems.

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 M.S. in Business Analytics and Information Management is also a STEM-designated programme, emphasising quantitative analysis, programming, data management, artificial intelligence, and technological proficiency. This designation makes the programme particularly relevant for students pursuing technical and analytical careers in the United States.

Reputation (Employability Rankings)

Graduate Employment: According to the university's 2025 graduate outcomes, 91% of Lerner's master's-level graduates were employed after graduation, with an average salary of $88,005. These figures represent master's graduates collectively, not exclusively this programme.
Industry Connections: Graduates have secured employment with recognised organisations such as JPMorgan Chase, Amazon, and ChristianaCare.
Career Opportunities: Graduates can pursue opportunities in financial services, consulting, healthcare, technology, information systems, business intelligence, and data-driven organisations.
Potential Career Roles: Business Analyst, Data Analyst, Business Intelligence Analyst, IT Consultant, Systems Analyst, Data Scientist, Database Administrator, Information Systems Manager, Analytics Consultant, and Technology Project Manager.
Flexible Learning: Students can choose full-time, part-time, hybrid, or fully online study formats, making the programme suitable for both recent graduates and working professionals.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Delaware, the MS in Business Analytics and Information Management 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 facilities and tools that enhance your educational journey.

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

- Data Analytics Lab: Access to state-of-the-art software and tools, including R, Python, Tableau, and SQL, allowing you to analyze and visualize data effectively.
- Group Projects: Collaborate with fellow students on team-based projects that simulate real business scenarios, fostering teamwork and communication skills.
- Internship Opportunities: The program encourages internships with local and national companies, providing invaluable industry experience and networking opportunities.
- Field Trips: Participate in visits to leading organizations and tech companies, gaining insights into industry practices and trends.
- Research Facilities: Utilize dedicated research labs equipped with advanced technology for data analysis and business intelligence projects.
- Library Resources: Access to extensive databases and resources through the University of Delaware Library, supporting your research and coursework.
- Institute for Decision Making: Engage with the Institute for Decision Making, which focuses on applied research and offers opportunities for collaboration with industry partners.

These experiential learning opportunities not only enhance your academic experience but also prepare you for a successful career in business analytics and information management.

Consider applying to the MS in Business Analytics and Information Management program to take advantage of these incredible resources and experiences!

Progression & Future Opportunities

The MS in Business Analytics and Information Management at the University of Delaware 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 Consultant, and Operations Manager. The program not only prepares you for immediate employment but also sets the stage for long-term career advancement:

- University Services: The Career Services Center offers personalized career coaching, resume workshops, and networking events specifically tailored for business analytics students. Additionally, the Office of Graduate and Professional Education provides resources for internships and job placements.

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

- University–Industry Partnerships: The University of Delaware has established partnerships with leading companies such as JPMorgan Chase and Deloitte, 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 hallmark of excellence that is recognized globally and adds significant value to your degree.

- Graduation Outcomes: Alumni of the program have gone on to work for Fortune 500 companies 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 MS in Business Analytics and Information Management, you may choose to further your studies by pursuing a Ph.D. in Information Systems or Business Administration. This path can open doors to academic positions or advanced research roles, allowing you to contribute to the field at a higher level. Additionally, you might consider obtaining professional certifications such as Certified Analytics Professional (CAP) or Project Management Professional (PMP) to enhance your credentials and marketability in the workforce.

The University of Delaware is committed to your success, and this program is a fantastic stepping stone toward a rewarding career in business analytics.