AI MBA

12 Months On Campus Masters Program

Northeastern University

Program Overview

The AI MBA at Northeastern University's D'Amore-McKim School of Business prepares students to become business leaders who can confidently work with artificial intelligence, data and emerging technologies. Designed for aspiring professionals and early-career individuals, the programme combines business management, analytics, AI applications and leadership, helping students understand how to use technology to solve business problems, improve decision-making and drive innovation across industries.

Curriculum Structure

The AI MBA is an accelerated, full-time programme that can be completed in approximately 12–16 months at Northeastern's Boston campus. The 50-credit curriculum combines core MBA subjects, AI-focused coursework and specialist electives, allowing students to tailor their studies to their career interests.

Business Foundations – Core MBA Courses

Students begin by developing a strong understanding of business management, financial decision-making, marketing and organisational strategy. Courses such as Accounting Analytics and Financial Accounting (ACCT 6440), Discrete-Time Quantitative Finance (FINA 6444), Managing the Organization (HRMG 6418), Innovation-Driven Strategy (INNO 6418), Foundations of Data Analysis for Business (MISM 6402), Data-Driven Marketing (MKTG 6428) and Strategic Planning for the Future (STRT 6418) help them understand how businesses operate and how data can support better decisions.

Artificial Intelligence and Leadership – Specialised Requirements

Students explore how organisations can adapt to technological changes while developing the leadership skills needed to manage AI-driven workplaces. Courses such as Management Control Systems (ACCT 6441), Leading a Diverse and Inclusive Organization (HRMG 6430), Leading in the Tech Revolution (HRMG 6440) and Competing in the Age of Smart Machines (INNO 6415) introduce students to organisational management, technology-led transformation and the growing role of intelligent systems in business.

Specialist Electives – Advanced Analytics and Practical Applications

Students can personalise their learning through electives that connect AI and analytics with different business functions. Options include Data Mining and Machine Learning for Business (MISM 6412), Strategic AI for Business (MISM 6450), Prescriptive Modeling for Business (MISM 6406), Investment Analytics (FINA 6403), Marketing Analytics (MKTG 6434), Analytics in Supply Chain Management (SCHM 6415) and Workforce Metrics and Analytics (STRT 6410). These subjects help students understand how AI and analytical tools can improve financial decisions, marketing strategies, workforce planning and supply chain operations.

Experiential Learning – Applying Knowledge to Real Business Challenges

Practical learning is an important part of the programme. Students work on business case studies and applied projects, with opportunities to participate in experiences such as the 360 Huntington Fund, AI Strategic Hub Research Practicum, Bloomberg Business Lab, IDEA, Global Consulting Project, Global Field Study and Washington, D.C. Residency. These experiences help students connect classroom learning with industry challenges and gain confidence in applying AI and business strategies in professional settings.

Focus Areas

Artificial Intelligence, Business Analytics, Machine Learning, Data Science, Predictive Analytics, Data Mining, Python Programming, Financial Analytics, Investment Analytics, Marketing Analytics, Supply Chain Analytics, Workforce Analytics, Technology Management, Digital Transformation, Business Strategy, Innovation Management, Organisational Leadership, Data-Driven Decision-Making, Human-Centred AI and Responsible Technology Adoption.

Learning Outcomes

Graduates will be able to use data and AI technologies to understand business challenges and make informed decisions. They will develop skills in data analysis, machine learning, predictive modelling and business strategy while learning to identify opportunities for AI adoption across different business functions. The programme also strengthens leadership, communication, teamwork and problem-solving abilities, preparing students to manage technology-driven projects, guide organisational change and lead teams in an increasingly digital business environment.

Professional Alignment (Accreditation)

AACSB Accreditation: Northeastern University's D'Amore-McKim School of Business is accredited by the Association to Advance Collegiate Schools of Business (AACSB), an internationally recognised accreditation body for business schools.
STEM Designation: The AI MBA is a STEM-designated programme, reflecting its emphasis on analytics, technology and quantitative business methods.
International Student Benefits: Eligible international students studying on campus may apply for up to 12 months of Optional Practical Training (OPT), followed by a 24-month STEM OPT extension, subject to applicable US immigration requirements.

Reputation (Employability Rankings)

Graduate Employment: According to D'Amore-McKim's 2024 Full-Time MBA employment statistics, 90% of graduates accepted a job offer within one year of graduation.
Average Salary: The same employment report recorded an average annual salary of USD 97,840 for graduates.
Corporate Experience: Around 94% of Full-Time MBA students completed at least one corporate residency placement, gaining experience with established companies and startups.
Career Opportunities: AI MBA graduates can pursue roles such as AI Strategist, Business Analyst, Management Consultant, Operations Manager, Financial Analyst, Project Manager, Technology Strategist and Data Scientist.
Industry Connections: The school provides career coaching, networking opportunities and practical learning experiences through its Graduate Career Center and industry partnerships.

Note: The employment and salary figures are for the broader Full-Time MBA cohort, not specifically for AI MBA graduates. Separate employment statistics for AI MBA graduates are not yet available.

Programme Classification: The AI MBA is an accelerated MBA programme offered by Northeastern University's D'Amore-McKim School of Business. Students graduate with an MBA with a major in Business Analytics, with AI integrated throughout the curriculum.

Experiential Learning (Research, Projects, Internships etc.)

At Northeastern University, the MBA in Artificial Intelligence program is designed to provide students with hands-on experience that bridges the gap between theory and practice. Through a combination of innovative coursework, collaborative projects, and access to cutting-edge facilities, students develop the practical skills necessary to thrive in the rapidly evolving field of AI. The program emphasizes experiential learning, allowing students to engage with real-world challenges and apply their knowledge in meaningful ways.

Here are some key components of the experiential learning opportunities available in the MBA AI program:

- Collaborative Projects: Engage in team-based projects that simulate real-world business scenarios, allowing you to apply AI concepts to solve complex problems.
- Internships: Benefit from Northeastern's renowned co-op program, which connects you with leading companies in the AI sector for valuable work experience.
- Digital Tools: Gain proficiency in industry-standard software and tools, including Python, R, TensorFlow, and various data visualization platforms.
- Field Trips: Participate in visits to tech companies and AI labs, providing insights into the latest industry trends and networking opportunities with professionals.
- Research Laboratories: Access state-of-the-art labs equipped for AI research, where you can work on projects that contribute to advancements in the field.
- Libraries and Resources: Utilize extensive library resources, including databases and journals focused on AI and business, to support your research and learning.
- Institutes and Centers: Collaborate with the Center for Data Science and the Institute for Experiential AI, which provide additional resources and expertise in AI applications.

These experiential learning opportunities are designed to enhance your educational journey and prepare you for a successful career in AI.

By choosing the MBA AI program at Northeastern, you're not just earning a degree; you're gaining invaluable experience that will set you apart in the competitive job market.

Progression & Future Opportunities

Pursuing an MBA in Artificial Intelligence at Northeastern University opens doors to a wealth of career opportunities in a rapidly evolving field. Graduates often find themselves in high-demand roles such as Data Scientist, AI Product Manager, and Business Intelligence Analyst. With the integration of AI into various industries, the skills you acquire will position you for success in a competitive job market.

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

- University Services: Northeastern 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 MBA AI program have reported an impressive employment rate of over 90% within six months of graduation, with starting salaries averaging around $100,000.
- University–Industry Partnerships: Northeastern has established partnerships with leading companies such as IBM, Microsoft, and Amazon, providing students with real-world projects and internship opportunities that enhance their learning experience.
- Long-term Accreditation Value: The MBA 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 MBA in AI, you may choose to further your studies by pursuing a Ph.D. in Business Administration or a specialized area such as Data Analytics or Machine Learning. This can deepen your expertise and open up even more advanced career opportunities in academia or high-level research positions. Additionally, you might consider certifications in AI or data science to enhance your qualifications and stay ahead in this dynamic field.

Northeastern University is committed to your success, and the MBA AI program is designed to equip you with the skills and connections needed to thrive in your career.