Christopher Asakiewicz teaching

Masters in Business Intelligence and Analytics

Program Details


Master of Science


School of Business Graduate Program


On Campus & Online


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Become a creative and analytical business leader who challenges assumptions and uses data to make evidence-based decisions.

AACSB logo

36 credit program

Full and Part Time Program

STEM designated program

Capstone Program Eligible

Program Highlights

Master Data-Driven Quantitative Skills: A curriculum emphasizing quantitative skills provides students with a robust understanding of statistical analysis and data modeling, essential for extracting insights from complex datasets. Mastery of these concepts equips graduates to analyze data effectively and adapt to evolving business analytics tools and technologies.

Industry Relationships Spur Career Growth: Close ties with industry professionals offer students opportunities to understand real-world challenges, best practices and build networks for career advancement. Collaboration with industry partners on projects and internships exposes students to practical applications of data analytics and enhances their understanding of how data drives business innovation.

Hands-On, Real-World Project Experience: Projects simulating actual industry scenarios prepare students for the demands of the workforce by honing critical thinking, problem-solving and collaboration skills. Students learn to effectively communicate their findings by collecting, analyzing and interpreting data.

Specialization Opportunities to Tailor Your Experience: Students can choose between data analytics, data science and AI, or big data tracks to ensure their education aligns with their career goals. Each specialization offers unique insights and skills highly valued in the job market, whether it's analyzing data for business decisions, leveraging advanced algorithms for predictive modeling or efficiently managing large volumes of data.

An Enhanced Student Experience: Our students have the chance to supplement their experience by participating in events that bridge the gap between academia and industry, technical boot camps in essential tools such as Python, R and Tableau, student clubs and digital webinars with data analysts and scientists from across sectors. Our students also build digital portfolios of real-world projects and utilize School of Business-specific placement services such as resume development, interviewing skills and networking events to help them secure employment at top companies.

Invaluable Networking Opportunities: Students can participate in the Industry Capstone program, which connects them with companies and offers networking opportunities to advance their careers.

GMAT/GRE test scores are optional for all master’s programs except MBA. Applicants who think that their test scores reflect their potential for success in graduate school may submit scores for consideration.

Big Data. Big Deal

Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of Business Intelligence and Analytics (BI&A), deep learning, and predictive analytics as engines of the enterprise.

The Business Intelligence and Analytics (BI&A) master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services, and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.

The Business Intelligence and Analytics curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.

Business Intelligence and Analytics Capstone Experience

No graduate business education is complete without an opportunity to apply what you've learned on a project of consequence. At Stevens, that takes many forms — a consulting assignment with an industry partner, a research project that addresses an industry need, even the chance to nurture your own entrepreneurial venture — and is customized for you, your education and your career aspirations. 

The master's program trains students to understand both the business implications of Big Data and the technology that makes that data useful. In doing so, it leans heavily on the high-tech infrastructure at Stevens, which gives students direct exposure to the kind of challenges they will engage in the workplace. Students will cultivate the skills to collect, analyze and interpret data in strategic data planning and management; databases and data warehousing; data mining and machine learning; network analysis and social media; and risk, modeling and optimization, and will learn to apply those skills to business problems in order to form actionable strategy. 

Board of Advisors

The Businesses Intelligence & Analytics’ industry-ready curriculum is guided by an Advisory Board of distinguished leaders across multiple disciple areas that ensure students in the program receive the skills and opportunities needed to be successful after graduation.

M.S. in Business Intelligence and Analytics Careers

The M.S. in Business Intelligence and Analytics develops in-demand knowledge and skills to put you on track for career success in a variety of roles like:

  • Artificial Intelligence Engineer

  • Business Analyst

  • Business Intelligence Consultant

  • Data Analyst

  • Data Engineer

  • Software Development Engineer

Potential hiring organizations include companies like: Amazon, BlackRock, Capital One, Caterpillar, JPMorgan Chase & Co., Wolters Kluwer and more.

Preferred Application Deadlines




SUMMER (Domestic Applicants Only)

Master's Full-Time

April 15

November 1

May 1

Master's Part-Time

August 15

January 1

May 1

  • Graduate programs admit students on a "rolling" basis, meaning that students may still apply after the preferred deadlines.

  • Students requiring an F1 Visa are strongly encouraged to apply by the preferred deadlines to allow time for visa processing.

Business Intelligence and Analytics Curriculum

The Business Intelligence and Analytics master's program at Stevens is available on campus or fully online.

Concentrations & Electives

With the approval of their advisor, students may take any three Stevens graduate classes to satisfy the requirements of this program. Alternatively, they may select three courses in any of the following three concentrations.

Data Analytics Concentration

Big Data Concentration

Data Science and AI Concentration

Program Architecture

The Business Intelligence & Analytics program was designed to prepare professionals for the varied set of skills they will need to become standouts in this rapidly shifting field. The four components of the curriculum ensure students develop practical knowledge that positions them to excel on the job. 

Meet the Program Director

Headshot of BI&A Program Director Chris AsakiewiczChristopher Asakiewicz is an industry professor and the Director of the Stevens Alliance for Innovation and Leadership (S.A.I.L.). He is a senior management professional with a strategic background in business technology management, information technology, consulting and education, including 21 years as a Vice President of Global Business Technology at Pfizer. Chris has done pioneering work in the area of knowledge mining and its application within life sciences, most notably as a means of accelerating translational research. His research and teaching interests include cognitive systems, healthcare analytics, enterprise-level application, information and business process rationalization, as well as talent, skill, and capability development. He earned both his master’s in electrical engineering and Ph.D. in information management from Stevens.

M.S. in BI&A: Facts & Figures

Average Compensation
Average Signing Bonus
Employed 6 Months After Graduation
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