Northeastern University’s D’Amore-McKim School of Business positions students to become fintech leaders ready for the rapidly changing financial services industry. The Full-Time MS in Finance/MBA combined degree program integrates business knowledge with advanced mathematical and technical skills.
Integrating Classroom and Professional Experiences
Learning by doing is a hallmark of a Northeastern MBA. Students apply their knowledge to actual business challenges through experience-fueled electives and class projects. Students will gain invaluable experience at the intersection of business and finance through a corporate residency, translating ideas into action for three, six, or up to 12 months. Far removed from the typical internship, students work full-time at a leading firm or startup in their field and have significant responsibilities as they work to deliver on organizational goals.
Cultivate Advanced Finance and Fintech Skills
Students pursue a major in quantitative finance that emphasizes the intersection of technology and business analytics with finance. Coursework integrates economics, mathematics, and computer science with financial theory and application. Students have an opportunity to develop mathematically demanding quantitative skills and fintech expertise.
Students can gain valuable experience performing equity research and portfolio management in a student-managed mutual fund, The 360 Huntington Fund. By participating in the Fund, students may earn 1 semester hour per semester with the option to fulfill a 3-semester-hour elective course requirement by participating for three terms.
Select a Finance Concentration
Students specialize their degree by selecting a corporate finance or investments concentration. In the corporate finance concentration, students master a range of financial, analytical, and communication skills for increasing profitability and shareholder value. In the investments concentration, students become knowledgeable managers of assets for individuals or institutions, building their expertise in capital allocation, valuation, or risk management.
- Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
- Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
Business Administration Core Requirements
Quantitative Finance Major Requirements
Course List Code | Title | Hours |
FINA 6203 | Investment Analysis | 3 |
FINA 6332 | Fundamentals of Financial Math and Financial Markets | 3 |
FINA 6333 | Data Analytics in Finance | 3 |
FINA 6334 | Empirical Methods in Finance | 3 |
FINA 6335 | Derivatives and Risk Analytics | 3 |
| 3 |
Concentration Options
Complete one of the following concentrations:
Concentration in Corporate Finance
Course List Code | Title | Hours |
FINA 6320 | Advanced Financial Management | 3 |
| 3 |
| Investment Analysis | |
| Valuation and Value Creation | |
| Entrepreneurial Finance and Venture Capital | |
| 6 |
| Investment Analysis | |
| International Financial Management | |
| Financial Strategy | |
| Financial Modeling | |
| Financial Risk Management | |
| Investment Banking | |
| Mergers and Acquisitions | |
| Business Turnarounds | |
| Valuation and Value Creation | |
| Real Estate Finance and Investment | |
| Entrepreneurial Finance and Venture Capital | |
| Global Competition and Market Dominance | |
Concentration in Investments
Course List Code | Title | Hours |
FINA 6203 | Investment Analysis | 3 |
FINA 6320 | Advanced Financial Management | 3 |
| 6 |
| International Financial Management | |
| Financial Modeling | |
| Financial Risk Management | |
| Fixed-Income Securities and Risk | |
| Investment Banking | |
| Mergers and Acquisitions | |
| Valuation and Value Creation | |
| Real Estate Finance and Investment | |
| Portfolio Management | |
| Entrepreneurial Finance and Venture Capital | |
| Fund Management for Analysts | |
| Fund Management for Managers | |
| Global Competition and Market Dominance | |
Electives
Course List Code | Title | Hours |
| 3 |
| Experiential Education | |
| Washington Campus Seminar | |
| New Venture Development | |
| Fund Management for Analysts | |
| Fund Management for Managers | |
| Global Field Study | |
| Global Project | |
| Digital, Analytics, Technology, and Automation Advanced Research Practicum | |
| 12 |
| |
| 6 |
| Arts and Culture Organizational Leadership | |
| Information Visualization Principles and Practices | |
| Information Design Critique Seminar | |
| Visualization Technologies 1: Fundamentals | |
| Experience Design Studio 1: Principles | |
| Design Systems | |
| Notational Systems for Experience | |
| Prototyping for Experience Design | |
| Information Design Theory and Critical Thinking | |
| Design for Behavior and Experience | |
| Information Design Mapping Strategies | |
| Bioinformatics Programming | |
| Bioinformatics Computational Methods 1 | |
| Bioinformatics Computational Methods 2 | |
| Foundations in Biotechnology | |
| The Biotechnology Enterprise | |
| Scientific Information Management for Biotechnology Managers | |
| Cell Culture Processes for Biopharmaceutical Production | |
| Experimental Design and Biostatistics | |
| Foundations of Artificial Intelligence | |
| Database Management Systems | |
| Cyberlaw: Privacy, Ethics, and Digital Rights | |
| Introduction to Data Management and Processing | |
| Applied Econometrics | |
| Iterative Product Prototyping for Engineers | |
| Product Development for Engineers | |
| Game Design and Analysis | |
| Psychology of Play | |
| Biometrics for Design | |
| Data-Driven Player Modeling | |
| Introduction to Health Informatics and Health Information Systems | |
| The American Healthcare System | |
| Business of Healthcare Informatics | |
| Creation and Application of Medical Knowledge | |
| Lean Concepts and Applications | |
| Data Mining for Engineering Applications | |
| Engineering Probability and Statistics | |
| Computation and Visualization for Analytics | |
| Statistical Methods in Engineering | |
| Statistical Quality Control | |
| Special Topics in Industrial Engineering | |
| Introduction to Computational Statistics | |
| Information Design and Visual Analytics | |
| Design for Storytelling | |
| Media and Advocacy in Theory and Practice | |
| Topics | |
| Fundamentals of Digital Journalism | |
| Telling Your Story with Data | |
| Environmental Issues in Manufacturing and Product Use | |
| Global Justice | |
| Information Ethics | |
| AI Ethics | |
| Evaluating Healthcare Quality | |
| Economic Perspectives on Health Policy | |
Program Credit/GPA Requirements
67 total semester hours required
Minimum 3.000 GPA required