Master of Science in Business Analytics & Artificial Intelligence

2 Years On Campus Masters Program

American University

Program Overview

The Master of Science in Business Analytics & Artificial Intelligence at American University's Kogod School of Business prepares students to use data and AI to solve business challenges and make informed decisions. The programme combines business analytics, machine learning, predictive modelling and artificial intelligence with practical business knowledge, helping students understand how technology can improve areas such as finance, marketing, operations and management. It is suitable for students from different academic backgrounds, including those without previous coding experience, who want to build careers at the intersection of business and technology.

Curriculum Structure

The programme requires 33 credit hours and generally takes two years to complete. Its curriculum combines analytics foundations, business knowledge, technical skills and practical projects. Students study subjects covering statistical analysis, database management, predictive analytics and business intelligence, before choosing electives in areas such as finance, marketing, sustainability, forensic accounting or data science. The programme concludes with a hands-on practicum in which students apply their analytical skills to real business challenges.

Curriculum Progression

The university offers a flexible curriculum rather than a fixed year-by-year course sequence. Students progress through core business analytics subjects, advanced analytical techniques, specialised electives and a final practicum project.

Foundational Stage: Students begin with Applied Managerial Statistics, where they develop an understanding of statistical methods and learn how to use data to support business decisions. Through Managing the Digital Organization and Database and Big Data, they explore how organisations use technology, databases and large datasets to improve business operations and manage information effectively.

Advanced Stage: Students strengthen their analytical skills through Business Insights through Analytics, Predictive Analytics and Business Intelligence. These courses help them understand how to identify business trends, develop predictive models and turn complex information into useful insights. They also develop practical skills in data manipulation, machine learning, data visualisation and programming using tools such as Python, R, SQL and Tableau.

Specialisation and Practical Application: Students can customise their studies through electives in areas such as finance, marketing, sustainability, forensic accounting and data science. They also explore topics such as natural language processing, quantitative methods, prompt engineering and ethical AI practices. The programme concludes with an in-person Business Analytics and AI Practicum in Washington, DC, where students work with real-world datasets to solve business challenges and develop practical solutions.

Focus Areas: Business Analytics, Artificial Intelligence, Machine Learning, Predictive Analytics, Statistical Analysis, Quantitative Methods, Data Mining, Big Data Analytics, Database Management, Business Intelligence, Data Visualisation, Data Manipulation, Natural Language Processing, Prompt Engineering, Data Privacy, Data Security, Data Ethics, Python Programming, R Programming, SQL, Tableau, Business Strategy, Financial Analytics, Marketing Analytics and Data-Driven Decision-Making.

Learning Outcomes: Graduates develop the ability to collect, organise and analyse business data to support better organisational decisions. They learn to apply statistical methods, predictive modelling, machine learning and AI tools to identify patterns, understand business challenges and forecast future trends. Students also gain practical programming and data visualisation skills while learning to communicate analytical findings clearly and consider ethical issues when applying AI in business environments.

Professional Alignment (Accreditation): The programme is STEM-designated, combining technical analytics skills with business and management knowledge. This designation also allows eligible international graduates on F-1 visas to apply for a 24-month STEM OPT extension, subject to applicable requirements. The university does not specify a separate professional or industry accreditation for this master's degree.

Reputation (Employability Rankings): The programme has been recognised by TechRepublic as a Top 10 programme for Data Science. American University's Kogod School of Business also highlights its AI-focused curriculum and practical learning approach. According to the university, 94% of programme graduates are working or pursuing further education within six months of graduation, with an average salary increase of more than 35%. Graduates pursue careers as AI Product Managers, AI Transformation Managers, Intelligence Analysts, Financial Analysts, Marketing Analysts, Business Analytics Consultants and Supply Chain Managers.

Experiential Learning (Research, Projects, Internships etc.)

At American University, the Master of Science in Business Analytics & Artificial Intelligence 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, working with industry-standard tools and software that prepare them for the dynamic landscape of business analytics and AI.

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

- Capstone Projects: Students work on real-world projects in collaboration with industry partners, allowing them to apply their skills to solve actual business challenges.
- Internship Opportunities: The program encourages internships with leading companies, providing students with invaluable experience and networking opportunities.
- Access to Advanced Software: Students gain proficiency in essential analytics tools such as Python, R, SQL, and Tableau, which are critical for data analysis and visualization.
- Collaborative Learning: Group projects foster teamwork and communication skills, essential for success in the business environment.
- State-of-the-Art Facilities: The Kogod School of Business features modern classrooms equipped with the latest technology, as well as dedicated labs for data analysis and research.
- Research Institutes: Students can engage with the Center for Business in the Capital, which focuses on the intersection of business and technology, providing additional resources and insights.
- Library Resources: The university's library offers extensive databases and resources tailored to business analytics and AI research, supporting students in their academic pursuits.

These experiential learning components ensure that graduates are not only knowledgeable but also equipped with the practical skills needed to excel in the field of business analytics and artificial intelligence. For more information on the facilities available at American University, you can visit the official facilities list [here](https://www.american.edu/soc/facilities.cfm).

Progression & Future Opportunities

Pursuing a Master of Science in Business Analytics & Artificial Intelligence at American University opens the door to a wealth of career opportunities in a rapidly evolving field. Graduates are well-prepared for roles such as Data Analyst, Business Intelligence Consultant, and AI Solutions Architect, among others. With the increasing demand for data-driven decision-making, this program equips you with the skills needed to thrive in various industries.

Here’s how American University supports your journey toward a successful career:

- Career Services: The university offers personalized career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Over 90% of graduates from the School of Business secure employment within six months of graduation, with starting salaries averaging around $80,000.
- University–Industry Partnerships: Collaborations with leading companies like Deloitte, Accenture, and IBM provide students with internship opportunities and real-world projects that enhance learning and employability.
- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market.
- Graduation Outcomes: Alumni have successfully transitioned into leadership roles, with many advancing to senior positions within just a few years of graduation.

Further Academic Progression: After completing your Master’s degree, you may choose to pursue a Ph.D. in Business Analytics or a related field, which can lead to academic positions or advanced research roles. Additionally, you could explore certifications in specialized areas such as machine learning or data science to further enhance your expertise and career prospects.

This program not only prepares you for immediate employment but also sets a solid foundation for lifelong learning and advancement in the dynamic world of business analytics and artificial intelligence.